Template-Type: ReDIF-Article 1.0
Author-Name: Davoud Ghahremanlou
Author-X-Name-First: Davoud
Author-X-Name-Last: Ghahremanlou
Author-Name: Wieslaw Kubiak
Author-X-Name-First: Wieslaw
Author-X-Name-Last: Kubiak
Title: Integrated bioethanol-gasoline supply chain evolved by changing US Government policies - model and algorithm
Abstract:
COVID-19 travel restrictions caused gasoline consumption reduction. Global warming and crude oil dependency had already driven policymakers to make policies to reduce consumption of gasoline. The US had created policies to regulate bioethanol production and blending with gasoline. Although these regulations created opportunities, they also placed new burdens on the obligated parties. The effect of the policy change on the integrated bioethanol-gasoline supply chain (IBGSC) is therefore important for both government and business to study to reduce bankruptcies in current market refineries and bio-refineries. To that end, we extend the IBGSC studied by Ghahremanlou and Kubiak (2020a) to include both first and second generation bioethanol, import and export, and existing infrastructure. We develop a two-stage stochastic programming model. Solving this model leads toward solving NP-hard problems, therefore, we develop an algorithm and overcome the computational complexity. The ELM can be employed to evaluate sustainability of the IBGSC under different policies.
Journal: Int. J. of Operational Research
Pages: 141-177
Issue: 2
Volume: 48
Year: 2023
Keywords: COVID-19; supply chain management; operations management; location-allocation; sustainability; stochastic programming; oil war.
File-URL: http://www.inderscience.com/link.php?id=134400
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Handle: RePEc:ids:ijores:v:48:y:2023:i:2:p:141-177

Template-Type: ReDIF-Article 1.0
Author-Name: Drinko Kurevija
Author-X-Name-First: Drinko
Author-X-Name-Last: Kurevija
Title: Novel approach to data envelopment analysis - the case of the Austrian general program
Abstract:
This article analyses the performances of the Austrian Research Promotion Agency's (ARPA) general program by applying a novel approach to data envelopment analysis (DEA) namely the adjusted DEA (A-DEA). Considering the previous findings of Sowlati and Paradi (2004) by defining a new 'practical frontier' and utilising management input, a modified linear programming model and a methodology for improving the efficiency of empirically efficient units was applied. The aim was to find the output for the novel 'different' units in order to identify an alternative frontier of both already empirically efficient and these 'new' DMUs considering the performances of ARPA's general program.
Journal: Int. J. of Operational Research
Pages: 259-280
Issue: 2
Volume: 48
Year: 2023
Keywords: data envelopment analysis; DEA; novel DEA; unobserved DMUs; weight restrictions; multicriteria decision making; stochastic frontier analysis; programs; projects; efficiency.
File-URL: http://www.inderscience.com/link.php?id=134402
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Handle: RePEc:ids:ijores:v:48:y:2023:i:2:p:259-280

Template-Type: ReDIF-Article 1.0
Author-Name: Xiaoming Li
Author-X-Name-First: Xiaoming
Author-X-Name-Last: Li
Author-Name: Chunxing Fan
Author-X-Name-First: Chunxing
Author-X-Name-Last: Fan
Title: The effect of lead-time variability on inventory: expected on-hand inventory vs. safety stock
Abstract:
Many papers and textbooks use safety stock as the inventory performance measure. But, this is only an approximation. Moreover, the lead-time variability causes conflicting effects on safety stock. In this paper, we argue that the right performance measure should be the expected on-hand inventory, which is consistent with the standard newsvendor problem. Then, the results always call for lead-time variability reduction, which always reduces both the expected on-hand inventory and the expected shortage inventory. These results are consistent and also indicate increased fill rates or service levels. We further show that the expected on-hand inventory and the expected shortage inventory are convex functions. When lead-time variability increases, lead-time demand spreads out further to both left and right tails, and thus causes higher expected on-hand inventory, higher expected shortage inventory, and higher cost. We finally present numerical examples to show managerial insights for decision makers in industry.
Journal: Int. J. of Operational Research
Pages: 233-245
Issue: 2
Volume: 48
Year: 2023
Keywords: lead-time reduction; safety stocks; expected on-hand inventory.
File-URL: http://www.inderscience.com/link.php?id=134406
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Handle: RePEc:ids:ijores:v:48:y:2023:i:2:p:233-245

Template-Type: ReDIF-Article 1.0
Author-Name: K. Senbagam
Author-X-Name-First: K.
Author-X-Name-Last: Senbagam
Author-Name: M. Kokilamani
Author-X-Name-First: M.
Author-X-Name-Last: Kokilamani
Title: A partial back-ordering inventory model for Gompertz deteriorating items with quadratic demand and shortages in a fuzzy environment
Abstract:
In this paper, we considered the EOQ inventory model for Gompertz decaying products with quadratic demand and constant holding cost in fuzzy environments using nonagonal, decagonal fuzzy numbers. Shortages are authorised and partially backlogged. The objective is to determine the fuzzy optimal total cost and fuzzy optimal order quantity for the proposed inventory model. A graded mean representation method of defuzzification is used for this fuzzy model to evaluate the estimate of the profit function in a fuzzy sense. Inventory parameters such as deterioration cost, holding cost, and shortage cost are assumed to be nonagonal and decagonal fuzzy numbers. The numerical illustration is used to study the behaviour of the model with respect to the different parameters of the inventory. Sensitivity analyses of the variance of different parameters have also been discussed. Numerical tests are carried out utilising the Scilab software.
Journal: Int. J. of Operational Research
Pages: 481-504
Issue: 4
Volume: 46
Year: 2023
Keywords: inventory system; Gompertz distribution; quadratic function; nonagonal fuzzy number; decagonal fuzzy number; graded mean integration representation method.
File-URL: http://www.inderscience.com/link.php?id=130054
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Handle: RePEc:ids:ijores:v:46:y:2023:i:4:p:481-504

Template-Type: ReDIF-Article 1.0
Author-Name: S.K. Yadav
Author-X-Name-First: S.K.
Author-X-Name-Last: Yadav
Author-Name: Dinesh K. Sharma
Author-X-Name-First: Dinesh K.
Author-X-Name-Last: Sharma
Author-Name: Kate Brown
Author-X-Name-First: Kate
Author-X-Name-Last: Brown
Author-Name: Shanya Baghel
Author-X-Name-First: Shanya
Author-X-Name-Last: Baghel
Title: A remedy for enhanced estimation of population mean using exponential ratio-cum-product type estimator under non-response
Abstract:
The present paper provides an improved estimation of the population mean of the study variable using known information on two auxiliary variables in the situation of non-response under a simple random sampling scheme. The bias and MSE of the proposed estimator are derived until the approximation of degree one. The optimal values of the scalars of the suggested estimator are obtained by minimising its MSE. The lowest MSE of the proposed estimator is also obtained for these optimal values of the scalars. Additionally, the bias and MSE are compared with a set of competing estimators, both theoretically and empirically. The theoretical efficiency conditions of the suggested estimator are compared to alternative estimators. These efficiency conditions are verified using two data sets from a natural population.
Journal: Int. J. of Operational Research
Pages: 550-570
Issue: 4
Volume: 46
Year: 2023
Keywords: non-response; mean squared error; MSE; bias; study variable; auxiliary variables.
File-URL: http://www.inderscience.com/link.php?id=130055
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Handle: RePEc:ids:ijores:v:46:y:2023:i:4:p:550-570

Template-Type: ReDIF-Article 1.0
Author-Name: A. Akilbasha
Author-X-Name-First: A.
Author-X-Name-Last: Akilbasha
Author-Name: G. Natarajan
Author-X-Name-First: G.
Author-X-Name-Last: Natarajan
Author-Name: P. Pandian
Author-X-Name-First: P.
Author-X-Name-Last: Pandian
Title: Optimising fully fuzzy interval integer transshipment problems
Abstract:
In this paper, we focus on solving fully fuzzy interval integer transshipment (FIIT) problems where the unit shipping costs, available supply capacities, and required destination demands are triangular fuzzy interval integers. An innovative method namely, back order sequence method has been developed for finding an optimal solution of the fully FIIT problem. The proposed method provides that the optimal values of decision variables and objective function value for the fully FIIT problem are fuzzy interval integers. A numerical example is presented to illustrate the solution procedure of optimising fully FIIT problems. The optimal solution to the transshipment problem by the proposed method can help the managers to take an appropriate decision regarding transshipments.
Journal: Int. J. of Operational Research
Pages: 1-19
Issue: 1
Volume: 46
Year: 2023
Keywords: interval; fuzzy set; fuzzy interval; transshipment problem; optimal solution; back order sequence method.
File-URL: http://www.inderscience.com/link.php?id=128540
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Handle: RePEc:ids:ijores:v:46:y:2023:i:1:p:1-19

Template-Type: ReDIF-Article 1.0
Author-Name: Emre Kirac
Author-X-Name-First: Emre
Author-X-Name-Last: Kirac
Author-Name: Ridvan Gedik
Author-X-Name-First: Ridvan
Author-X-Name-Last: Gedik
Author-Name: Furkan Oztanriseven
Author-X-Name-First: Furkan
Author-X-Name-Last: Oztanriseven
Title: Solving the team orienteering problem with time windows and mandatory visits using a constraint programming approach
Abstract:
This paper presents a constraint programming (CP) approach for solving the team orienteering problem with time windows and mandatory visits (TOPTW-MV), which has many real-world implementations, such as tourist tour planning, routing technicians, and disaster relief routing. In the TOPTW-MV, a set of locations is given; some locations must be visited, while others are optional. For each location, the profit, service time, and service time window information are known. A fleet of homogeneous vehicles is available for visiting locations and collecting the profits. The objective in solving this problem is to create a set of vehicle routes that begin and end at a depot, visit mandatory locations exactly once and optional locations at most once, while observing other restrictions such as time windows and sequence-based travel times. The CP-based approach finds 99 of the best-known solutions and explores 64 new best-known solutions for the benchmark instances.
Journal: Int. J. of Operational Research
Pages: 20-42
Issue: 1
Volume: 46
Year: 2023
Keywords: team orienteering problem; TOP; time windows; mandatory visits; vehicle routing; constraint programming.
File-URL: http://www.inderscience.com/link.php?id=128542
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Handle: RePEc:ids:ijores:v:46:y:2023:i:1:p:20-42

Template-Type: ReDIF-Article 1.0
Author-Name: Joaquim Jorge Vicente
Author-X-Name-First: Joaquim Jorge
Author-X-Name-Last: Vicente
Author-Name: Susana Relvas
Author-X-Name-First: Susana
Author-X-Name-Last: Relvas
Author-Name: Ana Paula Barbosa-Póvoa
Author-X-Name-First: Ana Paula
Author-X-Name-Last: Barbosa-Póvoa
Title: Distribution and inventory planning in multi-echelon supply chains under demand uncertainty
Abstract:
Distribution and inventory planning in a multi-echelon system are studied under an uncertain demand context. To deal with this problem a mixed integer linear programming (MILP) model is proposed. This considers a multi-echelon system formed by N-warehouses and M-retailers. The problem consists on determining the optimal reordering plan for the operating network, which minimises the overall system's operation cost. The uncertain demand faced by retailers is addressed by defining the optimal safety stock that guarantees a given service level at each regional warehouse and each retailer. Also, the risk pooling effect is taken into account when determining inventory levels in each entity. A case study based on a real retailer distribution chain is presented and solved.
Journal: Int. J. of Operational Research
Pages: 93-117
Issue: 1
Volume: 46
Year: 2023
Keywords: supply chain management; inventory planning; mixed integer linear programming; MILP; guaranteed service approach; demand uncertainty; risk pooling.
File-URL: http://www.inderscience.com/link.php?id=128543
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Handle: RePEc:ids:ijores:v:46:y:2023:i:1:p:93-117

Template-Type: ReDIF-Article 1.0
Author-Name: Hamiden Abd El-Wahed Khalifa
Author-X-Name-First: Hamiden Abd El-Wahed
Author-X-Name-Last: Khalifa
Author-Name: Pavan Kumar
Author-X-Name-First: Pavan
Author-X-Name-Last: Kumar
Title: Multi-objective optimisation for solving cooperative continuous static games using Karush-Kuhn-Tucker conditions
Abstract:
This paper introduces cooperative continuous static games (CCSG) with parameters in the cost functions of the players and in the right-hand side of the constraints. The CCSG is converted into the corresponding multi-objective nonlinear programming problem. The resulted nonlinear programming problem is converted into the single objective nonlinear programming problem through the use of the weighted sum method. A solution method for obtaining the stability set of the second kind without differentiability for the CCSG is presented using Karush-Kuhn-Tucker conditions. A numerical example is given for the illustration.
Journal: Int. J. of Operational Research
Pages: 133-147
Issue: 1
Volume: 46
Year: 2023
Keywords: cooperative continuous static games; CCSG; efficient solution; weighted sum method; optimal solution; Karush-Kuhn-Tucker conditions; stability.
File-URL: http://www.inderscience.com/link.php?id=128544
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Handle: RePEc:ids:ijores:v:46:y:2023:i:1:p:133-147

Template-Type: ReDIF-Article 1.0
Author-Name: V.K. Srivastava
Author-X-Name-First: V.K.
Author-X-Name-Last: Srivastava
Author-Name: Atma Nand
Author-X-Name-First: Atma
Author-X-Name-Last: Nand
Title: Application and technique of inventory control theory in pharmaceutical sciences
Abstract:
The pharmaceutical inventory product management poses a unique problem in the hospitals and pharmacy shops. The inventory control theory plays a significant part in a pharmacological business. For every business, the simple and intuitive interpretation of all the available stocks is important. The determination of the importance of a pharmaceutical drug item should also consider other considerations, such as how severely its unavailability would affect patients. All the drugs are associated with an expiry date, so it is necessary to keep minimal safety stocks of pharmaceuticals products. In this article, we have been suitably classified all available pharmaceutical models and discussed in detail. This article is an overall review of most of the available pharmaceuticals inventory literature.
Journal: Int. J. of Operational Research
Pages: 109-123
Issue: 1
Volume: 47
Year: 2023
Keywords: medicinal inventory; pharmacological inventory; inventory; perishable products; RFID technology.
File-URL: http://www.inderscience.com/link.php?id=130855
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Handle: RePEc:ids:ijores:v:47:y:2023:i:1:p:109-123

Template-Type: ReDIF-Article 1.0
Author-Name: Nabajyoti Bhattacharjee
Author-X-Name-First: Nabajyoti
Author-X-Name-Last: Bhattacharjee
Author-Name: Nabendu Sen
Author-X-Name-First: Nabendu
Author-X-Name-Last: Sen
Title: A demand and supply chain inventory management with probabilistic and time dependent price
Abstract:
In the real world, it has been a challenging part for the vendors and stockholders selling the perishable product. Especially, when price of the product reduces with time, due to high rate of deterioration and eventually vanishes. The products like vegetable scrap, food products, wood stock, etc. comes under this category. In this paper, we develop a demand and supply chain inventory model with deterioration and exponential demand to maximise the profit of a stockholder selling a perishable product. The selling price is probabilistic and a decreasing function of time so that, after a finite time limit the product has no market value. We consider three probability distributions uniform, triangular and gamma, and compare the total profit under three distributions and represent the result graphically. We perform sensitivity analysis and interpret the result both theoretically and graphically. Further, we study the model under different situation and provide managerial implications.
Journal: Int. J. of Operational Research
Pages: 33-50
Issue: 1
Volume: 47
Year: 2023
Keywords: inventory modelling; probabilistic price; total cost; total revenue; total profit; optimisation.
File-URL: http://www.inderscience.com/link.php?id=130856
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Handle: RePEc:ids:ijores:v:47:y:2023:i:1:p:33-50

Template-Type: ReDIF-Article 1.0
Author-Name: Sandeep Kumar Mogha
Author-X-Name-First: Sandeep Kumar
Author-X-Name-Last: Mogha
Title: Sensitivity in efficiency and super efficiency evaluation: case of a private educational institution
Abstract:
In this paper the performance of academic departments of a selected private institution is assessed for the academic year 2014-2015 using DEA-based dual CCR model. At the first stage, we use academic staff and non-academic staff as the input variables and total enrolled students, total pass students, students placed for jobs and research index as output variable. At the second stage, sensitivity analysis is used to assess the super efficiency and the ranking of the academic departments. The new slack model is also applied to measure the impact of slacks on evaluated efficiencies. The results suggest that four academic departments are technically efficient with average efficiency score 0.899 and the remaining three are inefficient and operating on increasing returns to scale. The super efficiency scores are also suggests the outliers.
Journal: Int. J. of Operational Research
Pages: 16-32
Issue: 1
Volume: 47
Year: 2023
Keywords: dual CCR model; NSM model; sensitivity analysis; NorthCap University; NCU.
File-URL: http://www.inderscience.com/link.php?id=130857
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Handle: RePEc:ids:ijores:v:47:y:2023:i:1:p:16-32

Template-Type: ReDIF-Article 1.0
Author-Name: Besma Zeddam
Author-X-Name-First: Besma
Author-X-Name-Last: Zeddam
Author-Name: Fayçal Belkaid
Author-X-Name-First: Fayçal
Author-X-Name-Last: Belkaid
Author-Name: Mohammed Bennekrouf
Author-X-Name-First: Mohammed
Author-X-Name-Last: Bennekrouf
Title: An efficient approach for the petrol station replenishment problem: an Algerian case study
Abstract:
In a logistic process, the goods distribution is an important task. It is also a critical activity that needs to be optimised according to company policy. The petrol station replenishment problem (PSRP) is one of the transportation problems concerned with replenishing a set of fuel stations with the different petroleum products. This problem presents a particular case of the multi-compartment vehicle routing problem (MC-VPR). In this paper, a new bi-objective approach is proposed in order to treat the PSRP. A novel MILP model is proposed based on a real life case study (the Algerian company of fuel distribution NAFTAL). Two objectives are considered: gain maximisation and carbon emissions minimisation. The economic objective is optimised independently of the environmental one, and then they are joined by adapting a multi-objective method 'LP-metric'. Finally, computational results are presented in order to show the efficiency of our green approach for a sustainable transportation system.
Journal: Int. J. of Operational Research
Pages: 51-80
Issue: 1
Volume: 47
Year: 2023
Keywords: petrol station replenishment problem; PSRP; multi compartment; carbon emissions; bi-objective; LP-metric.
File-URL: http://www.inderscience.com/link.php?id=130858
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Handle: RePEc:ids:ijores:v:47:y:2023:i:1:p:51-80

Template-Type: ReDIF-Article 1.0
Author-Name: Seyed Mostafa Bahadornia
Author-X-Name-First: Seyed Mostafa
Author-X-Name-Last: Bahadornia
Author-Name: Seyed Mohammad Khalili
Author-X-Name-First: Seyed Mohammad
Author-X-Name-Last: Khalili
Title: The Kalos balanced: a novel integrated performance assessment and improvement method
Abstract:
These days, managers are surrounded by the extensive spectrum of decision-making environments which are more acute both in quantity and quality. Consequently, it is necessary to utilise expert multiple attribute decision-making methods which fit the mentioned environment. To achieve this goal, a novel balanced multiple criteria improvement method, Kalos balanced, has been proposed in this article which not only evaluates candidates but also provides a mathematical model for improving the desired candidate. Despite the traditional weight multiplication methods, a novel smooth weighing function has been offered in this study which leads to moderate assessment and balanced improvement based on mathematical proofs. Finally, an example has been assessed and improved based on the mentioned system.
Journal: Int. J. of Operational Research
Pages: 1-15
Issue: 1
Volume: 47
Year: 2023
Keywords: multiple attribute decision making; performance assessment; performance improvement.
File-URL: http://www.inderscience.com/link.php?id=130859
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Handle: RePEc:ids:ijores:v:47:y:2023:i:1:p:1-15

Template-Type: ReDIF-Article 1.0
Author-Name: Sanjeev Kumar
Author-X-Name-First: Sanjeev
Author-X-Name-Last: Kumar
Author-Name: Rakesh Pandey
Author-X-Name-First: Rakesh
Author-X-Name-Last: Pandey
Author-Name: R.P. Mohanty
Author-X-Name-First: R.P.
Author-X-Name-Last: Mohanty
Title: Algorithm for automation of the teacher-course allotment
Abstract:
The university course timetabling problem (UCTP) is one of the important scheduling problems, which is a NP-hard category problem. The teacher-course allotment is a sub-problem in this category. It is a time-consuming and complicated exercise in academic institutions and influences the quality of teaching due to subjectivity in allocation decision. This problem is solved manually by holding a number of meetings at institute level and even after such involved interactions, there is no guarantee that courses are allocated in a correct fashion in order to meet program and course objectives as well as for the satisfaction of all stakeholders. To overcome this subjective practice, it is proposed to develop and validate an algorithm to automate this tedious job. The proposed algorithm consists of two phases. In Phase-I, a bipartite graph is used to obtain the teacher-course preferences-based initial solution of the problem, and then conflict free final solution of teacher-course allocation is achieved in Phase-II. To validate, a software application with rich graphic user interface (GUI) is also developed and tested on an Indian university dataset. The results have been implemented with a good degree of stakeholder's satisfaction.
Journal: Int. J. of Operational Research
Pages: 81-108
Issue: 1
Volume: 47
Year: 2023
Keywords: university course timetabling; teacher-course allotment; bipartite graph; NP-hard; algorithms; scheduling; teaching-learning process.
File-URL: http://www.inderscience.com/link.php?id=130860
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Handle: RePEc:ids:ijores:v:47:y:2023:i:1:p:81-108

Template-Type: ReDIF-Article 1.0
Author-Name: Mahuya Deb
Author-X-Name-First: Mahuya
Author-X-Name-Last: Deb
Author-Name: Kandarpa Kumar Sarma
Author-X-Name-First: Kandarpa Kumar
Author-X-Name-Last: Sarma
Title: Inventory policy determination in MSMEs using intuitionistic fuzzy sets based on learning aided decision support system
Abstract:
The successful operation of micro, small and medium enterprises (MSME) requires an effective supply chain linking manufacturers and distributors so as to minimise cost, reinvent channel models, and optimise collaborative relationships. In order to overcome the uncertainty present in this chain, inventory management policies are adopted which are crucial for enhancing, smooth production plans, and lower operation costs. Intuitionistic fuzzy (IF) set is considered to be an appropriate tool to model uncertainty in the chain. This paper deals with inventory policies regulated by IFS which would be applicable to the MSMEs. Normalised Euclidean distance method is used to measure the difference between each enterprise and each inventory policy respectively so as to select the best set of inventory management policy suitable for a unit. Further, the work involves the design of a decision support system (DSS) based on learning aided technique which provides an automated approach to the work.
Journal: Int. J. of Operational Research
Pages: 124-141
Issue: 1
Volume: 47
Year: 2023
Keywords: micro; small and medium enterprise; MSME; inventory policy; decision support system; DSS; Euclidean distance; triangular intuitionistic fuzzy number; TIFN.
File-URL: http://www.inderscience.com/link.php?id=130861
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Handle: RePEc:ids:ijores:v:47:y:2023:i:1:p:124-141

Template-Type: ReDIF-Article 1.0
Author-Name: Saeid Ghobadi
Author-X-Name-First: Saeid
Author-X-Name-Last: Ghobadi
Author-Name: Khosro Soleimani-Chamkhorami
Author-X-Name-First: Khosro
Author-X-Name-Last: Soleimani-Chamkhorami
Author-Name: Ehsan Zanboori
Author-X-Name-First: Ehsan
Author-X-Name-Last: Zanboori
Title: A novel inverse DEA model for restructuring DMUs with negative data
Abstract:
One of the important issues in generalised restructuring of a set of units is the identification of the input and output levels from a new set of post-restructuring units. This paper deals with the generalised restructuring of decision making units (DMUs) in the presence of negative data for achieving efficiency targets. A novel inverse DEA model is proposed for modelling the generalised restructuring of a set of DMUs in the presence of negative data. Sufficient conditions are given for estimation of inputs and outputs of the new set of post-restructuring units to realise efficiency targets. A numerical example is employed to illustrate the developed theory.
Journal: Int. J. of Operational Research
Pages: 118-132
Issue: 1
Volume: 46
Year: 2023
Keywords: data envelopment analysis; DEA; inverse DEA; multiple objective programming; MOP; generalised restructuring; efficiency; negative data.
File-URL: http://www.inderscience.com/link.php?id=128563
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Handle: RePEc:ids:ijores:v:46:y:2023:i:1:p:118-132

Template-Type: ReDIF-Article 1.0
Author-Name: Hojjat Emami
Author-X-Name-First: Hojjat
Author-X-Name-Last: Emami
Title: A modified presidential election algorithm for optimal tuning of proportional-integral-derivative controller
Abstract:
This paper uses a socio-politically inspired meta-heuristic algorithm based on the behaviour of voters and candidates named modified presidential election algorithm (PEA-II) for proportional-integral-derivative (PID) controller design. The incentive mechanism of PEA-II is enhancing the knowledge sharing and search capability of the canonical presidential election algorithm (PEA) by introducing a new positive advertisement and migration operator. By the new positive advertisement, PEA-II employs the best local and global knowledge of the agents to conduct the searching process in the solution space. The migration operator maintains diversity in the population and keeps the algorithm away from converging too fast before exploring the entire solution space. The proposed approach is evaluated using three well-known PID controller plants. The results show the superiority of the proposed algorithm in comparison with other counterparts.
Journal: Int. J. of Operational Research
Pages: 562-592
Issue: 4
Volume: 48
Year: 2023
Keywords: engineering optimisation problem; control; PID tuning; modified presidential election algorithm; PEA-II.
File-URL: http://www.inderscience.com/link.php?id=135489
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Handle: RePEc:ids:ijores:v:48:y:2023:i:4:p:562-592

Template-Type: ReDIF-Article 1.0
Author-Name: Sadam Hussain
Author-X-Name-First: Sadam
Author-X-Name-Last: Hussain
Author-Name: Faheemullah Shaikh
Author-X-Name-First: Faheemullah
Author-X-Name-Last: Shaikh
Author-Name: Laveet Kumar
Author-X-Name-First: Laveet
Author-X-Name-Last: Kumar
Author-Name: Zulfiqar Ali
Author-X-Name-First: Zulfiqar
Author-X-Name-Last: Ali
Title: Operational performance evaluation and efficiency assessment of thermal power sectors of Pakistan using data envelopment analysis
Abstract:
Energy is a life-line for almost all human activities and progress. Retrospective analysis of the increase in energy demand shows that meeting future energy requirements would be one of the severe problems to sustain the socio-economic activities in the world. The aims and objective of this study is to evaluate the power generation capacity of different thermal power plant in Pakistan using data envelopment analysis (DEA). Performance comparison includes refined furnace oil versus natural gas versus dual fuel versus coal and also GENCOs versus IPPs versus K-Electric power plants. Finding from the results indicates that natural gas outperformed as compared with refined furnace oil-based power plants dual fuel-based, coal-based thermal power plants. Results show that the performance of IPPs is high in comparison to K-Electric and GENCOs. Accordingly, based on these results several policy implications have been planned to increase the performance of available thermal power sector in Pakistan.
Journal: Int. J. of Operational Research
Pages: 429-444
Issue: 4
Volume: 48
Year: 2023
Keywords: operational performance; efficiency assessment; data envelopment analysis; thermal power plants; Pakistan.
File-URL: http://www.inderscience.com/link.php?id=135491
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Handle: RePEc:ids:ijores:v:48:y:2023:i:4:p:429-444

Template-Type: ReDIF-Article 1.0
Author-Name: Wanqing Zhu
Author-X-Name-First: Wanqing
Author-X-Name-Last: Zhu
Author-Name: Xi Chen
Author-X-Name-First: Xi
Author-X-Name-Last: Chen
Author-Name: Bo Wang
Author-X-Name-First: Bo
Author-X-Name-Last: Wang
Author-Name: Steven Lawrence
Author-X-Name-First: Steven
Author-X-Name-Last: Lawrence
Author-Name: Hao Zhou
Author-X-Name-First: Hao
Author-X-Name-Last: Zhou
Author-Name: Armagan Bayram
Author-X-Name-First: Armagan
Author-X-Name-Last: Bayram
Title: Pricing and operational planning of a fixed-route ride-sharing service
Abstract:
Fixed-route ride-sharing services, e.g., RidePal, OurBus, Urbvan, are becoming increasing popular among metropolitan areas. Effective pricing and operational planning of these services are undeniably crucial in their profitability and survival. However, the effectiveness of existing approaches has been hindered by the accuracy in demand estimation. In this paper, we develop a data-driven demand model using the multinomial logit model. We also construct a nonlinear optimisation model based on this demand model to jointly optimise price and operational decisions. A case study based on a real world fixed-route ride-sharing service in New York City is presented to demonstrate how the proposed models are used to improve the profitability of the service. We also show how this model can apply in settings where only limited public data are available to obtain effective estimation of demand and profit.
Journal: Int. J. of Operational Research
Pages: 43-64
Issue: 1
Volume: 46
Year: 2023
Keywords: fixed-route ride-sharing service; service pricing; service operations; mode choice; MNL model.
File-URL: http://www.inderscience.com/link.php?id=128579
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Handle: RePEc:ids:ijores:v:46:y:2023:i:1:p:43-64

Template-Type: ReDIF-Article 1.0
Author-Name: S. Dharmaraja
Author-X-Name-First: S.
Author-X-Name-Last: Dharmaraja
Author-Name: Shruti Kapoor
Author-X-Name-First: Shruti
Author-X-Name-Last: Kapoor
Title: On the time-dependent solution of fluid models driven by an <i>M</i>/<i>M</i>/1 queue using a probabilistic approach
Abstract:
More study has been performed on the steady state analysis of fluid models. However, the transient analysis of fluid models has not been extensively carried due to complexity of the problem. This is because the system of conservation laws for which no closed form solution is available. The motivation behind this paper is to provide a new methodology to find transient distribution of buffer content for fluid models. In this paper, the time-dependent solution of a fluid model driven by an &lt;i&gt;M&lt;/i&gt;/&lt;i&gt;M&lt;/i&gt;/1 queue is derived using a simple probability approach. Finally, numerical results are illustration for the proposed approach.
Journal: Int. J. of Operational Research
Pages: 65-72
Issue: 1
Volume: 46
Year: 2023
Keywords: fluid models; <i>M</i>/<i>M</i>/1 queue; time-dependent.
File-URL: http://www.inderscience.com/link.php?id=128580
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Handle: RePEc:ids:ijores:v:46:y:2023:i:1:p:65-72

Template-Type: ReDIF-Article 1.0
Author-Name: Ha-Bang Ban
Author-X-Name-First: Ha-Bang
Author-X-Name-Last: Ban
Title: A metaheuristic for the multiple minimum latency problem with the min-max objective
Abstract:
The multiple minimum latency problem with the min-max objective (mMLPMM) is an extension of the multiple minimum latency problem (mMLP). The mMLPMM requires to find a tour that aims to equally distribute the latency among routes by minimising the maximum route latency. To solve medium and large size instances, an effective metaheuristic algorithm is introduced, which combines greedy randomised adaptive search procedure (GRASP) for an initial solution construction, and general variable neighbourhood search (GVNS) for solution improvement. The proposed algorithm is tested on the benchmark instances derived from the literature. The results indicate that the GRASP-GVNS can produce efficient and effective solutions for the mMLPMM at a reasonable computation time.
Journal: Int. J. of Operational Research
Pages: 529-561
Issue: 4
Volume: 48
Year: 2023
Keywords: multiple minimum latency problem with min-max objective; mMLPMM; greedy randomised adaptive search procedure; GRASP; general variable neighbourhood search; GVNS; metaheuristic.
File-URL: http://www.inderscience.com/link.php?id=135493
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Handle: RePEc:ids:ijores:v:48:y:2023:i:4:p:529-561

Template-Type: ReDIF-Article 1.0
Author-Name: Abdelkader Hadri
Author-X-Name-First: Abdelkader
Author-X-Name-Last: Hadri
Author-Name: Aimade Eddine Bougloula
Author-X-Name-First: Aimade Eddine
Author-X-Name-Last: Bougloula
Author-Name: Fayçal Belkaid
Author-X-Name-First: Fayçal
Author-X-Name-Last: Belkaid
Author-Name: Hacene Smadi
Author-X-Name-First: Hacene
Author-X-Name-Last: Smadi
Title: An efficient approach for solving a job shop scheduling problem with resources constraints: a case study iCIM 3000
Abstract:
In this work, we are interested in a job shop scheduling problem (JSSP) with resources availability constraints. The aim consists in scheduling a set of N jobs on M machines. To be processed in the system, each job needs an number of consumable resources that are available in a limited quantity. Solving such a problem means finding better jobs sequencing in order to minimise the maximum execution time. We suggest two different methods to solve the above-mentioned problem. We firstly propose a set of four heuristics based on priority rules. Then, we make call to genetic algorithm. Using a real job shop manufacturing system data, a large-scale experiment was performed in order to analyse the performance of the proposed methods. The studied system is called iCIM 3000. The simulation results reveal that the new proposed heuristics are better than genetic algorithms and achieve to good solutions in shorter time.
Journal: Int. J. of Operational Research
Pages: 73-92
Issue: 1
Volume: 46
Year: 2023
Keywords: job shop; non-renewable resources; heuristics; genetic algorithms; iCIM 3000.
File-URL: http://www.inderscience.com/link.php?id=128581
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Handle: RePEc:ids:ijores:v:46:y:2023:i:1:p:73-92

Template-Type: ReDIF-Article 1.0
Author-Name: S.M. Rakibul Anwar
Author-X-Name-First: S.M. Rakibul
Author-X-Name-Last: Anwar
Author-Name: Riduanul Mustafa
Author-X-Name-First: Riduanul
Author-X-Name-Last: Mustafa
Author-Name: Md. Abul Kalam Azad
Author-X-Name-First: Md. Abul Kalam
Author-X-Name-Last: Azad
Title: Application of fintech in financial inclusion: a bibliometric review
Abstract:
This study examines the literature on fintech application in financial inclusion applying a citation mapping-based review technique-bibliometric analysis. The results of bibliometric review are then manually validated with content analysis. A total of 46 published documents from Scopus database are examined. Major findings from bibliometric review reveal three distinct research areas in literature: 1) generic application of fintech; 2) methodological and implication of fintech in credit scoring; 3) country performances. Future research directions are also identified.
Journal: Int. J. of Operational Research
Pages: 509-528
Issue: 4
Volume: 48
Year: 2023
Keywords: fintech; financial inclusion; bibliometric; financial exclusion.
File-URL: http://www.inderscience.com/link.php?id=135495
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Handle: RePEc:ids:ijores:v:48:y:2023:i:4:p:509-528

Template-Type: ReDIF-Article 1.0
Author-Name: José Soeiro Ferreira
Author-X-Name-First: José Soeiro
Author-X-Name-Last: Ferreira
Title: Decision making and martial arts
Abstract:
Martial arts (MAs) are a global training system that goes far beyond physical preparation and self-defence. They have been known for a long time, and their wisdom and impact are impressive. The paper illustrates matters about MAs which are relevant to decision making (DM). The recognition of the limitations of the sole dependence on physical ability (hard approaches) is a breakthrough in MAs. The pillars of body and technique are not enough to reach a global vision and overcome severe problems. MAs are committed to mastering faculties linked to intuition, emotions, and thought-free operations, signifying the pillar mind. These revelations have insightful implications for DM and the promptness in approaching the growing complexity of decision problems. Special attention is devoted to the mind, representing a soft paradigm, emphasising the human dimension, integrating intuition and complying with ethics. Finally, the paper delineates a MAs way to improve DM as science and art.
Journal: Int. J. of Operational Research
Pages: 467-493
Issue: 4
Volume: 48
Year: 2023
Keywords: decision making; martial arts; operational research; hard and soft methodologies; intuition; emotions; ethics.
File-URL: http://www.inderscience.com/link.php?id=135497
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Handle: RePEc:ids:ijores:v:48:y:2023:i:4:p:467-493

Template-Type: ReDIF-Article 1.0
Author-Name: Amir Ahmad Khajehnasiri
Author-X-Name-First: Amir Ahmad
Author-X-Name-Last: Khajehnasiri
Author-Name: Reza Ezzati
Author-X-Name-First: Reza
Author-X-Name-Last: Ezzati
Author-Name: Mostafa Safavi
Author-X-Name-First: Mostafa
Author-X-Name-Last: Safavi
Author-Name: A. Jafari
Author-X-Name-First: A.
Author-X-Name-Last: Jafari
Title: Application of Hat function for delay fractional optimal control problems
Abstract:
In this paper, we present a special class of fractional operational matrices to find the solution of the delay optimal control problems of fractional order. The solution is based on the Hat functions. Despite the complexity of the solution for delay systems, the most advantages of using Hat functions are the efficiency, reliability, and simplicity. To illustrate the proposed method, some numerical examples have been presented. Comparison with other methods and the numerical results show that the given numerical method is so accurate and effective to find the approximate solution of fractional delay systems as well as the delay fractional optimal control problems.
Journal: Int. J. of Operational Research
Pages: 494-508
Issue: 4
Volume: 48
Year: 2023
Keywords: delay; Hat functions; operational matrix; optimal control problems; block pulse function; BPF.
File-URL: http://www.inderscience.com/link.php?id=135504
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Handle: RePEc:ids:ijores:v:48:y:2023:i:4:p:494-508

Template-Type: ReDIF-Article 1.0
Author-Name: Muhammad Sam'an
Author-X-Name-First: Muhammad
Author-X-Name-Last: Sam'an
Author-Name:  Farikhin
Author-X-Name-First: 
Author-X-Name-Last: Farikhin
Author-Name: Bayu Surarso
Author-X-Name-First: Bayu
Author-X-Name-Last: Surarso
Title: Three-phase algorithms in solving full fuzzy transportation problem by using fuzzy analytical hierarchy process
Abstract:
In the fuzzy transportation problem, the ranking function is widely used to order fuzzy number or convert fuzzy number to crisp number. Its process is easy to understand and implement. However, the ranking fuzzy number still has significant weakness in which there is still subjectivity or do not pay attention to real life such that sometimes the input and output disconnected the fully fuzzy transportation problem (FFTP) such as there is negative fuzzy optimal solution. In some cases, it was found that FFTP had equal values of the fuzzy distribution least costs such that the existing methods will be generated two or more fuzzy initial basic feasible values. The proposed algorithm, i.e., three-phase algorithm-based fuzzy AHP, is capable of obtaining the fuzzy optimal solution of FFTP Based on the numerical example used to evaluate the performance of the three phases algorithm. The computational performances have been compared to the existing methods in the literature and the results shown this algorithm can solve the FFTP with similar values fuzzy optimal solution even better minimal solutions than existing methods.
Journal: Int. J. of Operational Research
Pages: 445-466
Issue: 4
Volume: 48
Year: 2023
Keywords: fuzzy number; fully fuzzy transportation problem; FFTP; ranking function; fuzzy AHP; fuzzy optimal solution.
File-URL: http://www.inderscience.com/link.php?id=135505
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Handle: RePEc:ids:ijores:v:48:y:2023:i:4:p:445-466

Template-Type: ReDIF-Article 1.0
Author-Name: Rahul Priyadarshi
Author-X-Name-First: Rahul
Author-X-Name-Last: Priyadarshi
Author-Name: Srikanta Routroy
Author-X-Name-First: Srikanta
Author-X-Name-Last: Routroy
Author-Name: Girish Kant Garg
Author-X-Name-First: Girish Kant
Author-X-Name-Last: Garg
Title: Analysis of yields for majorly grown agriculture produces in the arid districts of Rajasthan
Abstract:
The three-point moving average, exponential smoothing and MATLAB regression learner tools were utilised to obtain the yield forecasts for majorly grown agriculture produces of arid districts of Rajasthan, India. The yield forecasts were verified on the basis of R&lt;SUP align="right"&gt;&lt;SMALL&gt;2&lt;/SMALL&gt;&lt;/SUP&gt; values and the relative error percentage values to draw conclusions. The results illustrated that the adopted forecasting methodology worked better for produces such as cumin, wheat and rapeseed and mustard. These produce can grow with bare minimum water available in arid and hyper-arid regions. However, it was complex to predict the future yields quantity for certain crops that require more rainfall for enhanced yields such as pearl millets, moth bean, sesame and cluster beans. The results could also be utilised to observe cultivation and irrigation patterns in arid and hyper arid regions, demand and supply ratio and economic planning.
Journal: Int. J. of Operational Research
Pages: 593-606
Issue: 4
Volume: 48
Year: 2023
Keywords: agricultural yield forecasting; moving average; machine learning; exponential smoothing; forecasting error analysis.
File-URL: http://www.inderscience.com/link.php?id=135508
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Handle: RePEc:ids:ijores:v:48:y:2023:i:4:p:593-606

Template-Type: ReDIF-Article 1.0
Author-Name: Ali Kansou
Author-X-Name-First: Ali
Author-X-Name-Last: Kansou
Author-Name: Bilal Kanso
Author-X-Name-First: Bilal
Author-X-Name-Last: Kanso
Author-Name: Adnan Yassine
Author-X-Name-First: Adnan
Author-X-Name-Last: Yassine
Title: Hybridised ant colony optimisation for the multi-depot multi-compartment capacitated arc routing problem
Abstract:
This paper considers the multi-depot multi-compartment capacitated arc routing problem. It consists to find a set of vehicle routes with minimal travelled distance that satisfy the demands of a set of customers for several products. This problem has some important applications such as in the fields of transportation, distribution and logistics since companies are increasingly using multiple depots to store their products and separate compartments which are necessary since each product has its own specific characteristics and cannot be mixed during transportation. In this paper, a new approach based on the ant colony optimisation that is hybridised with a simulated annealing algorithm is developed. Computational experiments are performed on a benchmark of instances taken from the literature, and a set of real-life instances, and on another new set of random large-scale instances. The proposed metaheuristic generates high-quality solutions compared to the existing algorithms and particularly the results on the new instances seem promising, purposeful and powerful.
Journal: Int. J. of Operational Research
Pages: 18-46
Issue: 1
Volume: 48
Year: 2023
Keywords: metaheuristic; arc routing problem; multi-depot; multi-compartment; ant colony optimisation; ACO; simulated annealing algorithm.
File-URL: http://www.inderscience.com/link.php?id=133741
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Handle: RePEc:ids:ijores:v:48:y:2023:i:1:p:18-46

Template-Type: ReDIF-Article 1.0
Author-Name: Ziping Wang
Author-X-Name-First: Ziping
Author-X-Name-Last: Wang
Author-Name: Huafan Ma
Author-X-Name-First: Huafan
Author-X-Name-Last: Ma
Title: How to bring manufacturing back? &#45; The impact of tax policies on reshoring
Abstract:
Moving manufacturing back to the USA has been in many fierce debates. While many believe that reshoring is beneficial to the USA through creating more jobs, our paper intends to gain more insights into this issue by studying a sourcing game between global firms and governments. Global firms may choose between offshoring and reshoring. Governments, as tax policymakers, aim at improving social welfare. First, our analysis indicates that firms may choose reshoring even if there are cost advantages to offshoring. Secondly, while reshoring may increase employment in the USA, it may also have a negative effect on the overall social welfare. Thirdly, when the labour cost in the USA is moderately higher, the government may launch new tax policies to motivate reshoring and improve social welfare. Finally, numerical examples demonstrate that reshoring improves social welfare in labour-intensive industry, while tax policies may curb such improvement with high tax rates.
Journal: Int. J. of Operational Research
Pages: 63-93
Issue: 1
Volume: 48
Year: 2023
Keywords: reshoring; supply chain management; tax policy; social welfare; production function.
File-URL: http://www.inderscience.com/link.php?id=133743
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Handle: RePEc:ids:ijores:v:48:y:2023:i:1:p:63-93

Template-Type: ReDIF-Article 1.0
Author-Name: Murat Cal
Author-X-Name-First: Murat
Author-X-Name-Last: Cal
Author-Name: Sibel Atan
Author-X-Name-First: Sibel
Author-X-Name-Last: Atan
Title: A nonlinear goal programming approach with a modified search algorithm to achieve student outcomes in college education
Abstract:
We introduce a modified search algorithm to solve a nonlinear goal programming model to achieve multiple goals to the highest extent while minimising the total deviation from these targeted goals. We develop our model in an education environment that implements gamification in teaching hours, and learning outcomes are evaluated by assessments. Our parameters are then evaluated through experimental analysis and we provide insights on their accuracy. It is shown that our algorithm finds solutions within 1%-10% of the optimal solutions for different intervals, and these solutions are found instantaneously. Our model answers how much time of a teaching hour should be allocated for gamified elements, and how a game-based environment can be established together with an evaluation system. The study in that sense is unique as it combines a nonlinear goal programming model with gamification in teaching and it provides a framework to evaluate student outcomes to cope with educational objectives.
Journal: Int. J. of Operational Research
Pages: 1-17
Issue: 1
Volume: 48
Year: 2023
Keywords: nonlinear goal programming; heuristic algorithms; education theory; optimisation.
File-URL: http://www.inderscience.com/link.php?id=133744
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Handle: RePEc:ids:ijores:v:48:y:2023:i:1:p:1-17

Template-Type: ReDIF-Article 1.0
Author-Name: P. Raghuram
Author-X-Name-First: P.
Author-X-Name-Last: Raghuram
Author-Name: S. Anuj Jain
Author-X-Name-First: S. Anuj
Author-X-Name-Last: Jain
Author-Name: Souryadeep Mazumder
Author-X-Name-First: Souryadeep
Author-X-Name-Last: Mazumder
Title: Order picking and storage optimisation in a warehouse using agent-based modelling
Abstract:
Warehouse management is an integral part of the supply chain and optimisation of warehouse operations can minimise redundant movements of pickers and can reduce processing time, thereby maximising the profits. In this paper, our objective is to develop a simulation model to find the optimal number of forklifts and arrival rate of goods by considering various factors like distance travelled by pickers, picker utilisation, storage and retrieval times. The warehouse layout is found through the number of racks, number of vertical levels and aisle width using genetic algorithm in MATLAB. The objective function is to minimise the total operational costs considering space and arrival constraints. The warehouse design parameters after optimisation are used in the simulation model to develop a new layout. The number of pickers and arrival rate of goods is obtained, analysed and compared. It is observed that further reduction in the aforementioned factors are obtained.
Journal: Int. J. of Operational Research
Pages: 47-62
Issue: 1
Volume: 48
Year: 2023
Keywords: warehouse optimisation; order picking; storage; handling; agent-based modelling; genetic algorithms.
File-URL: http://www.inderscience.com/link.php?id=133745
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Handle: RePEc:ids:ijores:v:48:y:2023:i:1:p:47-62

Template-Type: ReDIF-Article 1.0
Author-Name: Dilbagh Panchal
Author-X-Name-First: Dilbagh
Author-X-Name-Last: Panchal
Title: Improving healthcare services in trauma emergency centres for patient safety under COVID-19 pandemic crisis
Abstract:
This work presents an application of structured decision support model for improving health service related quality in Indian Trauma Emergency Centres (TEC) under COVID-19 pandemic crisis. Fuzzy failure mode and effect analysis (FMEA) tool built decision support model has been applied for pinpointing the most precarious causes/barriers, which result in poor health service quality. Various causes/barriers responsible for poor service quality associated with TEC have been listed under FMEA sheet thorough carrying a brainstorming session with hospital management. Feedback in the form of linguistic ratings were filled by the three experts against three risk elements. For overcoming the drawback of traditional FMEA approach in terms of uncertainty/vagueness effect and same ranking problems, fuzzy FMEA was applied and the fuzzy output-based rankings are equated with traditional FMEA approach-based results in order to take the necessary action for minimising the total service time for patient safety during this pandemic period.
Journal: Int. J. of Operational Research
Pages: 94-116
Issue: 1
Volume: 48
Year: 2023
Keywords: trauma emergency centre; patient safety; COVID-19; health service; fuzzy FMEA; service time.
File-URL: http://www.inderscience.com/link.php?id=133746
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Handle: RePEc:ids:ijores:v:48:y:2023:i:1:p:94-116

Template-Type: ReDIF-Article 1.0
Author-Name: Mustafa S. Canbolat
Author-X-Name-First: Mustafa S.
Author-X-Name-Last: Canbolat
Author-Name: George O. Wesolowsky
Author-X-Name-First: George O.
Author-X-Name-Last: Wesolowsky
Author-Name: Michael &#118;on Massow
Author-X-Name-First: Michael &#118;on
Author-X-Name-Last: Massow
Title: Locating a rectangular barrier facility on the plane: a bi-objective approach
Abstract:
We study the problem of finding a minimax location for a rectangular barrier facility on the plane and simultaneously minimising the interference of the barrier facility to the interactions among the existing facilities using rectilinear distances. This provides an &lt;i&gt;ex post&lt;/i&gt; opportunity to modify an existing network or layout while minimising the disruption. The problem is formulated as a bi-objective problem and a mixed integer program is proposed as a solution methodology. A simulated annealing algorithm is presented for an extension of the problem where expropriation or removal of existing facilities is also possible. We consider expropriation or removal of existing facilities only if such policy is necessary or cost-beneficial.
Journal: Int. J. of Operational Research
Pages: 117-139
Issue: 1
Volume: 48
Year: 2023
Keywords: planar facility location; facility layout; barriers; expropriation; optimisation; heuristics.
File-URL: http://www.inderscience.com/link.php?id=133747
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Handle: RePEc:ids:ijores:v:48:y:2023:i:1:p:117-139

Template-Type: ReDIF-Article 1.0
Author-Name: Lav Ishan
Author-X-Name-First: Lav
Author-X-Name-Last: Ishan
Title: The use of mobile application to buy insurance: an AHP-based study
Abstract:
The Indian insurance industry is moving towards integrating the latest technology in their business activities, as this can help in increasing the company's efficiency. The use of mobile is high among the current generation, using this platform by insurance companies as a part of their business activities can help the company in many ways. This paper focuses on the use of mobile software by the customer and what are the factors which drive its use. Quantitative data were collected using questionnaire and interview of the respondent was taken to get an in-depth perspective regarding the mobile application. It was found out that the mobile application of insurance companies is used less by the customers and the way of increasing the use of the application is discussed. Findings can help the companies in determining how they can popularise their company's mobile application among their existing and targeted customers.
Journal: Int. J. of Operational Research
Pages: 323-342
Issue: 3
Volume: 46
Year: 2023
Keywords: Indian insurance industry; insurance; Insuretech; multi-criteria decision making; analytical hierarchal process; AHP.
File-URL: http://www.inderscience.com/link.php?id=129401
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Handle: RePEc:ids:ijores:v:46:y:2023:i:3:p:323-342

Template-Type: ReDIF-Article 1.0
Author-Name: S.M. Qasim
Author-X-Name-First: S.M.
Author-X-Name-Last: Qasim
Author-Name: Jamal A. Farooquie
Author-X-Name-First: Jamal A.
Author-X-Name-Last: Farooquie
Title: Statistical distribution and analysis of secondary queue of railway passengers
Abstract:
Millions of passengers commute through trains in India every day. Still, thousands of waitlisted tickets are cancelled due to the non-availability of accommodation in the desired train on a particular day. Such cancellations result in dissatisfaction and discomfort to the waitlisted ticket holders and loss of business to Indian Railways. The queue of waitlisted ticket holders, called secondary queue, form when the berths in demand are less than the number of berths available in the desired class of accommodation in a particular train on a specific date. The small number of passengers from this queue are served with confirmed tickets surrendered by the passenger from the primary queue holding confirmed tickets. This paper, a portion of a larger study, attempts to identify the statistical distribution of arrivals and service for the secondary queue. Stationarity and interdependence have been examined for inter-arrival time and service time in context of sleeper (SL) class accommodation of Vaishali superfast express train. It has been found that the secondary queue of the Indian Railways advanced reservation passenger system follows the G/G/C/K model of queuing theory. The results are expected to help the Indian Railways determine various queue parameters and hence optimise the system.
Journal: Int. J. of Operational Research
Pages: 382-396
Issue: 3
Volume: 48
Year: 2023
Keywords: railway reservation; primary queue; secondary queue; statistical distribution; stationarity.
File-URL: http://www.inderscience.com/link.php?id=134778
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Handle: RePEc:ids:ijores:v:48:y:2023:i:3:p:382-396

Template-Type: ReDIF-Article 1.0
Author-Name: Nikunja Mohan Modak
Author-X-Name-First: Nikunja Mohan
Author-X-Name-Last: Modak
Author-Name: Alok Raj
Author-X-Name-First: Alok
Author-X-Name-Last: Raj
Author-Name: Shib Sankar Sana
Author-X-Name-First: Shib Sankar
Author-X-Name-Last: Sana
Title: A bibliometric and content analysis of core researches on operations research
Abstract:
Operations research emerged as a discipline after the Second World War due to its efficiency to make better decisions. The socio-economic environment world over has changed over the last 50 years, and operations research has played a vital role in complex decision making. Advanced analytical methods of operations research are effective for improving decision making and solving real life problems in business, industry, and society. This work presents a bibliometric and content analysis of core publications of operations research. This study exclusively considers publications with operations research in their title. We have used SCOPUS, a reliable database, to collect relevant data. It presents overall publications and structure of citations. It comprehensively studies the significant contributions of journals, universities, and countries on this topic. Using the visualisation of similarities viewer software, it presents network visualisations and analyses co-occurrence of keywords, co-citations, and bibliographic coupling of institutions and countries. Finally, the paper reviews highly influential articles in this field and provides comprehensive direction for future research in this field.
Journal: Int. J. of Operational Research
Pages: 358-381
Issue: 3
Volume: 46
Year: 2023
Keywords: operations research; SCOPUS; bibliometrics; VOS viewer.
File-URL: http://www.inderscience.com/link.php?id=129402
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Handle: RePEc:ids:ijores:v:46:y:2023:i:3:p:358-381

Template-Type: ReDIF-Article 1.0
Author-Name: Juliana Fausto Flores
Author-X-Name-First: Juliana Fausto
Author-X-Name-Last: Flores
Author-Name: André Andrade Longaray
Author-X-Name-First: André Andrade
Author-X-Name-Last: Longaray
Author-Name: Leonardo Ensslin
Author-X-Name-First: Leonardo
Author-X-Name-Last: Ensslin
Author-Name: Ademar Dutra
Author-X-Name-First: Ademar
Author-X-Name-Last: Dutra
Author-Name: Sandra Ensslin
Author-X-Name-First: Sandra
Author-X-Name-Last: Ensslin
Author-Name: Vilmar Antonio Gonçalves Tondolo
Author-X-Name-First: Vilmar Antonio Gonçalves
Author-X-Name-Last: Tondolo
Title: Using constructivist multi-criteria decision aid to evaluate the workforce sizing in public organisations: the case of a Brazilian university
Abstract:
When addressing staff sizing management, the workforce that is required to meet the institution's objectives must be quantitatively and qualitatively identified and analysed, taking the institution's environment into account. Most studies concerning workforce sizing in learning institutions are limited to measuring faculty performance. Therefore, a gap in the literature exists concerning a performance evaluation of the sizing procedures for the administrative workforce at universities. We developed a model to determine the requirements for a workforce sizing at a Brazilian public university. The research was classified as applied, exploratory, and descriptive, and it was divided into qualitative and quantitative steps. Utilising a constructivist multi-criteria decision aid approach, 83 primary evaluation elements and 119 descriptors were identified. The status quo analysis revealed three areas with performance levels significantly lower and 50 indicators that are at a compromising level, for which action plans were proposed. The built model supported the manager in the performance evaluation of the staff sizing procedures.
Journal: Int. J. of Operational Research
Pages: 316-337
Issue: 3
Volume: 48
Year: 2023
Keywords: performance evaluation; MCDA-C; staff sizing; universities; human resources.
File-URL: http://www.inderscience.com/link.php?id=134779
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Handle: RePEc:ids:ijores:v:48:y:2023:i:3:p:316-337

Template-Type: ReDIF-Article 1.0
Author-Name: R.P. Tripathi
Author-X-Name-First: R.P.
Author-X-Name-Last: Tripathi
Author-Name: Hari Shyam Pandey
Author-X-Name-First: Hari Shyam
Author-X-Name-Last: Pandey
Title: Cash discount associated permissible delay sensitive economic order quantity systems in favour of deteriorating commodity of Weibull distribution receptive demand and shortages
Abstract:
A cash discount is a deduction permitted by a number of retailers for items in order to stimulate consumers to pay within a particular time. The suppliers and contributors presenting a cash reduction will pass on to it as a sales price cut, while the consumer will submit to the same concession as a procure money off. More sales causes more purchase; it is due to cash discount or more demand. Cash discount is beneficial for both vendor and buyers. In most cases, innovation is the most helpful for seller in order to motivate purchaser. When the retailer allows a discount, this is verified as a diminution of revenues, and is naturally a deduction to an opposing revenue account. In this study, demand is measured by two Weibull parameters. Shortages and deterioration both are taken into account. The principal objective of this work is to locate the most favourable replenishment planning so that total cost is minimised. Mathematical models are consequential under four dissimilar circumstances. The optimal solution is obtained by a solution procedure. Numerical designs are offered in order to confirm the expected model of the study. Sensitivity analysis is specified for distinction by dissimilar parameters. Mathematics 7.0 is used for finding numerical outcomes.
Journal: Int. J. of Operational Research
Pages: 416-435
Issue: 3
Volume: 46
Year: 2023
Keywords: cash-discount; trade credits; Weibull distribution; deterioration; cycle time; demand.
File-URL: http://www.inderscience.com/link.php?id=129403
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Handle: RePEc:ids:ijores:v:46:y:2023:i:3:p:416-435

Template-Type: ReDIF-Article 1.0
Author-Name: A.C. Mahasinghe
Author-X-Name-First: A.C.
Author-X-Name-Last: Mahasinghe
Author-Name: K.K.W.H. Erandi
Author-X-Name-First: K.K.W.H.
Author-X-Name-Last: Erandi
Author-Name: S.S.N. Perera
Author-X-Name-First: S.S.N.
Author-X-Name-Last: Perera
Title: A separable programming approach for resource optimisation in controlling epidemics
Abstract:
Optimal resource allocation in controlling epidemics is a topic of importance, in particular to health-planners in developing countries. Commonly practised resource allocation criteria depend on some trivial statistics, hence critical factors such as human mobility are often ignored in making health decisions. In this work we propose to incorporate inter-regional mobility factor into the decision-making process. Starting from the well-known compartment models for epidemic transmission, we formulate a nonlinear optimisation problem for the regional allocation of resources, aimed at minimising the total number of infectious persons in the country. Computational challenges in finding the global optimum to this problem are overcome by restating it in the form of a separable program, which is eventually reduced down into an efficiently solvable mixed-integer linear program. We derive numerical results by applying our solution techniques to relevant data on dengue transmission in Sri Lanka. Finally, we interpret the results and show that resource allocations are inadequate unless the mobility factor is taken into account.
Journal: Int. J. of Operational Research
Pages: 357-381
Issue: 3
Volume: 48
Year: 2023
Keywords: resource optimisation; separable programming; linear programming; epidemic models.
File-URL: http://www.inderscience.com/link.php?id=134780
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Handle: RePEc:ids:ijores:v:48:y:2023:i:3:p:357-381

Template-Type: ReDIF-Article 1.0
Author-Name: Neha Gupta
Author-X-Name-First: Neha
Author-X-Name-Last: Gupta
Author-Name: Mohini Agarwal
Author-X-Name-First: Mohini
Author-X-Name-Last: Agarwal
Author-Name: Pratibha Garg
Author-X-Name-First: Pratibha
Author-X-Name-Last: Garg
Title: Evaluation of student's university selection decision making using an instilled fuzzy AHP approach
Abstract:
The purpose of this study is to identify and rank the potential factors that can benefit the students in making an optimal decision for university selection in learning process. To achieve this purpose, informational architype, along with the questionnaire, was circulated, which was followed by analysing the responses. For the data collection purpose, a structured questionnaire was constructed, and responses of 100 prospective students of Indian origin who are likely to take admission in universities were recorded. After reviewing the literature, six prominent factors have been considered, and AHP followed by FAHP techniques have been employed for computing weights corresponding to assumed factors. The results indicated that the highest weightage had been given to location followed by fee structure in both the cases. Further, utility theory has been used, which shows the superiority of FAHP over AHP analysis.
Journal: Int. J. of Operational Research
Pages: 382-397
Issue: 3
Volume: 46
Year: 2023
Keywords: university selection; decision making; analytical hierarchy process; AHP; fuzzy analytical hierarchy process; FAHP; utility theory.
File-URL: http://www.inderscience.com/link.php?id=129404
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Handle: RePEc:ids:ijores:v:46:y:2023:i:3:p:382-397

Template-Type: ReDIF-Article 1.0
Author-Name: Dominic Otoo
Author-X-Name-First: Dominic
Author-X-Name-Last: Otoo
Author-Name: Bernard Atta Adjei
Author-X-Name-First: Bernard Atta
Author-X-Name-Last: Adjei
Author-Name: Sampson Takyi Appiah
Author-X-Name-First: Sampson Takyi
Author-X-Name-Last: Appiah
Title: A mixed-integer quadratic programming production-transportation problem
Abstract:
One economic challenge encountered by most companies that produce and haul their local products to independent distributors is accurately identifying the optimal routes to each distribution centre and assigning production machinery. The authors in this paper have collaboratively developed a mixed-integer quadratic model that optimally assigns machines and vehicles to produce and properly distribute goods to multiple distributors in 105 locations dotted across the 16 regions of the country based on their demand constraints. Our formulated model and analysis show that the production cost accounts for 0.7933 and transportation cost accounts for 0.2066 of the total cost. Our results have convincingly shown a cost reduction of 10% and 25% respectively in terms of production and transportation cost as compared to the cost currently operated by the two local factories under consideration.
Journal: Int. J. of Operational Research
Pages: 338-356
Issue: 3
Volume: 48
Year: 2023
Keywords: optimal; integer programing; production; transportation; distributors.
File-URL: http://www.inderscience.com/link.php?id=134781
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Handle: RePEc:ids:ijores:v:48:y:2023:i:3:p:338-356

Template-Type: ReDIF-Article 1.0
Author-Name: Sara Benvidi
Author-X-Name-First: Sara
Author-X-Name-Last: Benvidi
Author-Name: Tooba Asghari
Author-X-Name-First: Tooba
Author-X-Name-Last: Asghari
Author-Name: Amir Aghsami
Author-X-Name-First: Amir
Author-X-Name-Last: Aghsami
Author-Name: Fariborz Jolai
Author-X-Name-First: Fariborz
Author-X-Name-Last: Jolai
Title: Analysing a queueing network of the emergency department with deteriorating health in post-disaster situations
Abstract:
Providing appropriate healthcare services in emergency departments (ED) after a disaster is a good way to reduce casualties. This study attempts to model an ED as a three-stage queue with a deteriorating patient's health condition where the system experiences a disaster. Triage has been considered as the primary stage which classifies patients into two types. The paper aims to present the best budget planning and capacity planning to minimise total death and waiting times. Queueing networks are used to model the mentioned situation. Finally, three mathematical formulations are accompanied by numerical experiments. We observed the behaviour of each model to support managers in policy makings. We conclude that exigent plays a significant role in the total death number and service rate of triage and semi-urgent, significantly impacting the total waiting time.
Journal: Int. J. of Operational Research
Pages: 397-428
Issue: 3
Volume: 48
Year: 2023
Keywords: emergency department; healthcare; Markovian queueing systems; budget and capacity planning; triage; deterioration; disaster.
File-URL: http://www.inderscience.com/link.php?id=134782
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Handle: RePEc:ids:ijores:v:48:y:2023:i:3:p:397-428

Template-Type: ReDIF-Article 1.0
Author-Name: Tobias Wiens
Author-X-Name-First: Tobias
Author-X-Name-Last: Wiens
Author-Name: Christian A. Ullrich
Author-X-Name-First: Christian A.
Author-X-Name-Last: Ullrich
Title: Scheduling with team production effects
Abstract:
This paper introduces the new research field of team assignment and scheduling, while taking into account the team production effect. In contrast to the opinions prevalent in the literature on job-splitting, a given job's processing time is not simply its default processing time on one machine divided by the number of machines assigned to that job. Synergies may lead to nonlinear relations between the number of assigned machines and the resulting processing times. After combining team production and scheduling theory in general, we focus on two common problem areas: minimising the maximum completion time and minimising the total tardiness. In the face of NP-hardness, we propose a specialised genetic algorithm which is general enough to tackle both problem areas. Computational experiments demonstrate the effectiveness of the approach.
Journal: Int. J. of Operational Research
Pages: 281-315
Issue: 3
Volume: 48
Year: 2023
Keywords: scheduling; team production; parallel machines; genetic algorithm; neighbourhood search.
File-URL: http://www.inderscience.com/link.php?id=134783
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Handle: RePEc:ids:ijores:v:48:y:2023:i:3:p:281-315

Template-Type: ReDIF-Article 1.0
Author-Name: Fedia Daami Remadi
Author-X-Name-First: Fedia Daami
Author-X-Name-Last: Remadi
Author-Name: Hela Moalla Frikha
Author-X-Name-First: Hela Moalla
Author-X-Name-Last: Frikha
Title: The triangular intuitionistic fuzzy numbers CODAS method for solving green material selection problem
Abstract:
The concept of green material selection is one of the most essential steps for the material industry to comprehensively ameliorate material properties and improve environmental performance in long-term. The consideration of economic and environmental factors in green material selection is a multi-criteria decision problem that requires mathematical techniques such as multi-criteria decision making (MCDM) methods. The objective of this work is to develop a ranking MCDM model for green material selection under uncertainty. It is based on investigating one of the MCDM methods, CODAS for addressing multiple criteria group decision making problems in the framework of intuitionistic fuzzy sets (IFSs). The rating of each alternative is described by linguistic terms and converted to triangular intuitionistic fuzzy numbers (TIFNs).
Journal: Int. J. of Operational Research
Pages: 398-415
Issue: 3
Volume: 46
Year: 2023
Keywords: CODAS method; green material selection problem; multi-criteria group decision making; MCGDM; triangular intuitionistic fuzzy numbers; TIFNs.
File-URL: http://www.inderscience.com/link.php?id=129409
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Handle: RePEc:ids:ijores:v:46:y:2023:i:3:p:398-415

Template-Type: ReDIF-Article 1.0
Author-Name: Ra'ed M. Al-Khatib
Author-X-Name-First: Ra'ed M.
Author-X-Name-Last: Al-Khatib
Author-Name: Nidhal Kamel Taha El-Omari
Author-X-Name-First: Nidhal Kamel Taha
Author-X-Name-Last: El-Omari
Author-Name: Mohammed Azmi Al-Betar
Author-X-Name-First: Mohammed Azmi
Author-X-Name-Last: Al-Betar
Title: Innovative cloud computing object-oriented model to unify heterogeneous data
Abstract:
Nowadays, unifying heterogeneous databases has received a lot of attention. This paper presents a new object-oriented model to unify heterogeneous databases into one highly versatile database based on three phases: preprocessing phase in which the 'materialised view' (MV), is adopted to collect the data from multiple resources. The 'OODB-construction' phase includes a single unified database. The last phase, 'web-based and cloud computing', deploys the required services and disseminates them based on the cloud-hosted environment. In order to evaluate the proposed model, a real practical example was used. The efficiency of MV was analysed and compared against the normal-view. Then, comparative results are conducted to show the behaviour of our proposed model against other conventional database models. Thereafter, the performance of the adopted OODB model was compared against the RDB model. In conclusion, our proposed model achieved the best results with &#215;2.49 speed-up that minimising the overall execution time.
Journal: Int. J. of Operational Research
Pages: 289-322
Issue: 3
Volume: 46
Year: 2023
Keywords: artificial intelligence; very large database; VLDB; big data; object-oriented DB; OODB; cloud computing.
File-URL: http://www.inderscience.com/link.php?id=129410
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Handle: RePEc:ids:ijores:v:46:y:2023:i:3:p:289-322

Template-Type: ReDIF-Article 1.0
Author-Name: Mohamed Abd Allah El-Hadidy
Author-X-Name-First: Mohamed Abd Allah
Author-X-Name-Last: El-Hadidy
Title: Detection of the diffusion nanoparticle in the turbulent flows using the random walk model
Abstract:
A probabilistic detection model is proposed to determine the location of random walk nanoparticles in the turbulent flows. This model maximises the benefits for the environmental, industrial and biological applications. In this paper, we present a generalised coordinated linear detection technique to find a one-dimensional random walk nanoparticle between two layers in turbulent flows. We have two sensors can start the searching process from any point rather than the origin. The initial position of the nanoparticle is a random variable that has a known probability distribution. More than showing the existence of a finite search plan, we derive some auxiliary results related to optimal search plan which minimises the expected value of the first meeting time between one of the sensors and the nanoparticle. A numerical example is provided to illustrate the effectiveness of this technique.
Journal: Int. J. of Operational Research
Pages: 251-270
Issue: 2
Volume: 46
Year: 2023
Keywords: turbulent flows; random walk nanoparticle; probability space.
File-URL: http://www.inderscience.com/link.php?id=129155
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Handle: RePEc:ids:ijores:v:46:y:2023:i:2:p:251-270

Template-Type: ReDIF-Article 1.0
Author-Name: Nita H. Shah
Author-X-Name-First: Nita H.
Author-X-Name-Last: Shah
Author-Name: Pratik H. Shah
Author-X-Name-First: Pratik H.
Author-X-Name-Last: Shah
Title: Optimal inventory policies for non-instantaneous deteriorating items with advance sales and advertisement efforts
Abstract:
This paper presents optimal policies for non-instantaneous deteriorating items with a constant rate of deterioration. Inventory model is considered to be a three-phase system. The first phase is production as well as advance booking phase where together with manufacturing, products are booked in advance with a discounted price. Second phase is the sales phase where products are sold at normal selling price and there is no decay of the product in this phase. In the third phase, product starts deteriorating at constant rate and hence they are sold at a discounted rate equivalent to the rate of deterioration. Demand of the product is influenced by promotional efforts expenditure as well as selling price of the product. The aim is to determine optimum production quantity, cycle time, selling price and advertisement expenditure of the product in order to maximise total profit of the retailer. Numerical example is provided to illustrate the model and sensitivity analysis has been carried out. The study shows that advance booking helps retailer to be assured of sales of product and it gives revenue in advance. Promotional efforts through advertisement help increasing total sales.
Journal: Int. J. of Operational Research
Pages: 343-357
Issue: 3
Volume: 46
Year: 2023
Keywords: inventory model; deterioration; advertisement; advance booking; selling price.
File-URL: http://www.inderscience.com/link.php?id=129411
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Handle: RePEc:ids:ijores:v:46:y:2023:i:3:p:343-357

Template-Type: ReDIF-Article 1.0
Author-Name: Wakas Saad Khalaf
Author-X-Name-First: Wakas Saad
Author-X-Name-Last: Khalaf
Author-Name: Mustafa G. Ali
Author-X-Name-First: Mustafa G.
Author-X-Name-Last: Ali
Title: Aggregate production planning of Abu Ghraib Dairy factories based on forecasting and goal programming
Abstract:
The aim of this article is to build a comprehensive multi-objective production plan for Al-Rafidain plant spanning 12 months based on two methods &#45; the auto regression integrated moving averages (ARIMA) model to forecast the market demand for the products and the method of goal programming (GP) &#45; to find compatible solutions among the goals to be achieved. The ready-made program MATLAB was used to find the future values of the time series and also to solve the multi-objective mathematical model. For the most important results achieved, the mathematical model was able to achieve the first goal by 97%, which was the maximisation of profits; the total profits achieved a value of USD3,625,856. The second goal was achieved successfully because of the decrease that occurred in the costs, the value of which was USD2,456,625. Finally, the third goal was achieved by 98%, in that the plant's return on investment was decreased to 1.476.
Journal: Int. J. of Operational Research
Pages: 189-209
Issue: 2
Volume: 46
Year: 2023
Keywords: aggregate production planning; APP; goal programming; forecasting; auto regression integrated moving averages; ARIMA.
File-URL: http://www.inderscience.com/link.php?id=129156
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Handle: RePEc:ids:ijores:v:46:y:2023:i:2:p:189-209

Template-Type: ReDIF-Article 1.0
Author-Name: Vincent A. Amenaghawon
Author-X-Name-First: Vincent A.
Author-X-Name-Last: Amenaghawon
Author-Name: Virtue U. Ekhosuehi
Author-X-Name-First: Virtue U.
Author-X-Name-Last: Ekhosuehi
Author-Name: Augustine A. Osagiede
Author-X-Name-First: Augustine A.
Author-X-Name-Last: Osagiede
Title: Markov manpower planning models: a review
Abstract:
A manpower system is a network of individuals working together in an organisation for the purpose of achieving the common goal of the organisation. To ensure that the right number of individuals is available to meet the task to be performed by the organisation, manpower planning techniques are needed. This paper reviews the manpower planning literature with specific interest on manpower systems modelled within the Markov chain context. Markov chains provide a convenient framework to analyse the structural mechanisms that underlie social change, extrapolate shifts in the state distribution of the system, control personnel structures by framing optimal promotion and recruitment strategies, evaluate personnel policies, and deal with heterogeneity and uncertainty in the system configuration. This paper surveys these applications areas and highlights the methodological issues arising from varying the unit interval of the Markov manpower system in discrete time.
Journal: Int. J. of Operational Research
Pages: 227-250
Issue: 2
Volume: 46
Year: 2023
Keywords: embeddability problem; heterogeneity; manpower planning; manpower system; Markov chain; personnel structure; stochastic matrix; sub-stochastic matrix; transition matrix.
File-URL: http://www.inderscience.com/link.php?id=129157
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Handle: RePEc:ids:ijores:v:46:y:2023:i:2:p:227-250

Template-Type: ReDIF-Article 1.0
Author-Name: Vidyottama Jain
Author-X-Name-First: Vidyottama
Author-X-Name-Last: Jain
Author-Name: Raina Raj
Author-X-Name-First: Raina
Author-X-Name-Last: Raj
Author-Name: S. Dharmaraja
Author-X-Name-First: S.
Author-X-Name-Last: Dharmaraja
Title: Numerical optimisation of loss system with retrial phenomenon in cellular networks
Abstract:
In this study, we extend upon the model by Haring et al. (2001) by introducing retrial phenomenon in multi-server queueing system. When the most &lt;i&gt;g&lt;/i&gt; number of guard channels are available, it allows new calls to join the retrial group. This retrial group is called orbit and can hold a maximum of &lt;i&gt;m&lt;/i&gt; retrial calls. The impact of retrial over certain performance measures is numerically investigated. The focus of this work is to construct optimisation problems to determine the optimal number of channels, the optimal number of guard channels and the optimal orbit size. Further, it has been emphasised that the proposed model with retrial phenomenon reduces the blocking probability of new calls in the system.
Journal: Int. J. of Operational Research
Pages: 210-226
Issue: 2
Volume: 46
Year: 2023
Keywords: multi-server queueing model; retrial phenomenon; cellular network; blocking probability; optimisation.
File-URL: http://www.inderscience.com/link.php?id=129158
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Handle: RePEc:ids:ijores:v:46:y:2023:i:2:p:210-226

Template-Type: ReDIF-Article 1.0
Author-Name: Rajib Deb
Author-X-Name-First: Rajib
Author-X-Name-Last: Deb
Author-Name: Soma Panja
Author-X-Name-First: Soma
Author-X-Name-Last: Panja
Title: Efficiency analysis of selected bank-sponsored mutual fund schemes in India
Abstract:
There has been growing literature related to performance analysis of the mutual fund (MF) industry concentrating on the non-parametric approach. Because of the practical and academic importance of mutual funds, it is becoming a vital area of research in finance. The present study seeks to gauge the efficiency of 40 equity mutual fund schemes that belong to seven asset management companies categorised as bank-sponsored under AMFI in India. The study uses data envelopment analysis technique as the prime tool for knowing the efficiency of selected schemes. The study discovers only seven schemes as efficient out of total sampled schemes and in which Canara Robeco Asset Management Co. Ltd offers the maximum number of efficient schemes as compared to others. The present study will offer direction for future research and will also provide individual investors with a guideline for selecting funds.
Journal: Int. J. of Operational Research
Pages: 271-288
Issue: 2
Volume: 46
Year: 2023
Keywords: bank-sponsored mutual funds; data envelopment analysis; performance efficiency.
File-URL: http://www.inderscience.com/link.php?id=129159
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Handle: RePEc:ids:ijores:v:46:y:2023:i:2:p:271-288

Template-Type: ReDIF-Article 1.0
Author-Name: Sukhendu Bera
Author-X-Name-First: Sukhendu
Author-X-Name-Last: Bera
Author-Name: Raghu Nandan Giri
Author-X-Name-First: Raghu Nandan
Author-X-Name-Last: Giri
Author-Name: Dipak Kumar Jana
Author-X-Name-First: Dipak Kumar
Author-X-Name-Last: Jana
Author-Name: Kajla Basu
Author-X-Name-First: Kajla
Author-X-Name-Last: Basu
Author-Name: Manoranjan Maiti
Author-X-Name-First: Manoranjan
Author-X-Name-Last: Maiti
Title: A game theory framework for newly launched greening product in two-echelon supply chain
Abstract:
A two-echelon supply chain model is considered where one manufacturer and one retailer reduce the customers' sensitivity to the product price and stimulate the demand of the product by introducing facilities such as the product's greenness, service level and promotional effort. They share the costs jointly on the above facilities following some agreements. The models are formulated as profit maximisation problems for the whole system and the individual chain members. The game theoretical approach is used to solve the models under centralised and decentralised decision scenarios. Several particular models are studied by considering one or two facilities (greenness, service level and promotional effort) at a time. Finally, numerical experiments are conducted and some managerial decisions are presented from the optimal results and sensitivity analyses. It is demonstrated that the greenness, service level and promotional effort activities stimulate higher demand and fetch more profits for the supply chain and its members.
Journal: Int. J. of Operational Research
Pages: 149-188
Issue: 2
Volume: 46
Year: 2023
Keywords: supply chain; greening investment; promotional effort; service level; Stackelberg game.
File-URL: http://www.inderscience.com/link.php?id=129160
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Handle: RePEc:ids:ijores:v:46:y:2023:i:2:p:149-188

Template-Type: ReDIF-Article 1.0
Author-Name: Taofeeq Durojaye Moshood
Author-X-Name-First: Taofeeq Durojaye
Author-X-Name-Last: Moshood
Author-Name: Gusman Nawanir
Author-X-Name-First: Gusman
Author-X-Name-Last: Nawanir
Author-Name: Fatimah Mahmud
Author-X-Name-First: Fatimah
Author-X-Name-Last: Mahmud
Title: Empirical analysis of employees' commitment, organisational fitness elements and intention-to-stay in the Malaysian construction companies: mediating influence of organisational commitment
Abstract:
A concept that is commonly adopted in corporate settings is 'employee-intention-to-stay'. At the same time, a variety of studies have been conducted on this same concept. While a large number of studies relating to management approaches have concentrated on employees' motivation, very few studies have been undertaken concerning employees' intention to remain in their various companies. Because it is a very significant criterion in deciding a worker's stay in the company, this study, therefore, intends to explore the connection between fit organisation elements and staff's intention to remain in the construction industry, with the organisational commitments as a mediating variable. Also, the approach was structured to concentrate on the study's issues and objectives through quantitative analysis design using a positivist research paradigm. The findings showed a direct correlation between organisational fit elements and the workers' intention-to-stay in their various companies. Organisational commitment fully mediates the relationship that fits the organisation's elements had with the intention-to-stay. Findings suggest that the three components of organisational commitment, as well as workers' intention-to-stay, have a high possibility of making employees to stay in their various organisations.
Journal: Int. J. of Operational Research
Pages: 325-356
Issue: 3
Volume: 47
Year: 2023
Keywords: intention-to-stay; fit organisation; organisational commitment; construction industry; PLS-SEM.
File-URL: http://www.inderscience.com/link.php?id=132253
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Handle: RePEc:ids:ijores:v:47:y:2023:i:3:p:325-356

Template-Type: ReDIF-Article 1.0
Author-Name: Kamil Ciftci
Author-X-Name-First: Kamil
Author-X-Name-Last: Ciftci
Author-Name: Yertai Tanai
Author-X-Name-First: Yertai
Author-X-Name-Last: Tanai
Author-Name: George R. Wilson
Author-X-Name-First: George R.
Author-X-Name-Last: Wilson
Title: An optimal pricing and quality assessment model for consumer returns in a multi-period closed-loop supply chain
Abstract:
We propose a framework for a single demand and its returns occurring in a multi-period setting. The goal of this study is to determine price and processing quantities of returns for a retailer when she is faced with stochastic returns and numerous quality conditions for returns specific to a particular period. We formulate the expected profit function of a single demand and its returns over the sales periods and analytically derive the optimum price expression. Furthermore, we develop an extensive numerical experiment to analyse the effect of key parameters on the profit and price. The research herein shows that an increasing number of quality categories for returns improves the total profit significantly over the sales periods. Likewise, we find that the number of quality categories for returns can also affect changes in the price indicating the importance of sensitivity of the retail price to the returns quality.
Journal: Int. J. of Operational Research
Pages: 273-296
Issue: 3
Volume: 47
Year: 2023
Keywords: closed-loop supply chain; returns quality; consumer returns management; multi-period planning; pricing decisions.
File-URL: http://www.inderscience.com/link.php?id=132254
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Handle: RePEc:ids:ijores:v:47:y:2023:i:3:p:273-296

Template-Type: ReDIF-Article 1.0
Author-Name: Ibrahim Yusuf
Author-X-Name-First: Ibrahim
Author-X-Name-Last: Yusuf
Author-Name: Humairah Baballe Ilah
Author-X-Name-First: Humairah Baballe
Author-X-Name-Last: Ilah
Title: Comparative analysis between serial systems with cold standby units
Abstract:
This paper studied reliability assessment of three dissimilar systems configured as series-parallel systems. Three probabilistic models are discussed. Each system consists of six units. It is supposed that the failure and repair time of all components are considered to be exponentially distributed. Using linear differential-difference equations, mathematical models for the steady state availability and mean time to failure are derived, examined and compared for each system. Through numerical examples, the systems are compared and ranked to determine the optimal system.
Journal: Int. J. of Operational Research
Pages: 297-324
Issue: 3
Volume: 47
Year: 2023
Keywords: reliability; cost-benefit; serial; cold standby; performance.
File-URL: http://www.inderscience.com/link.php?id=132255
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Handle: RePEc:ids:ijores:v:47:y:2023:i:3:p:297-324

Template-Type: ReDIF-Article 1.0
Author-Name: Dinesh K. Sharma
Author-X-Name-First: Dinesh K.
Author-X-Name-Last: Sharma
Author-Name: Surender Singh
Author-X-Name-First: Surender
Author-X-Name-Last: Singh
Author-Name: Abdul Haseeb Ganie
Author-X-Name-First: Abdul Haseeb
Author-X-Name-Last: Ganie
Title: Correlation coefficients in T-spherical fuzzy environment using statistical viewpoint and their applications
Abstract:
A T-spherical fuzzy set (T-SFS) is a generalisation of spherical fuzzy sets (SFSs), picture fuzzy sets (SFSs), intuitionistic fuzzy sets (IFSs), and fuzzy sets (FSs) in which the sum of the &lt;i&gt;q&lt;/i&gt;&lt;SUP align="right"&gt;&lt;SMALL&gt;th&lt;/SMALL&gt;&lt;/SUP&gt; power of membership, the &lt;i&gt;q&lt;/i&gt;&lt;SUP align="right"&gt;&lt;SMALL&gt;th&lt;/SMALL&gt;&lt;/SUP&gt; power of non-membership and &lt;i&gt;q&lt;/i&gt;&lt;SUP align="right"&gt;&lt;SMALL&gt;th&lt;/SMALL&gt;&lt;/SUP&gt; power of neutrality values is at most one. The correlation coefficient is a crucial tool in fuzzy/non-standard fuzzy theory and has been applied in various fields such as clustering, pattern recognition, medical diagnosis, decision-making, etc. However, the existing correlation coefficients for T-SFSs give only the degree of correlation between two T-SFSs but do not tell us the nature of correlation (negative or positive). In this study, we propose two correlation coefficients for T-SFSs, which not only give the strength of correlation between two T-SFSs but also tell us whether the two T-SFSs are positively correlated or negatively correlated. We also discuss several properties of these correlation coefficients. We apply these correlation coefficients to solve a pattern recognition problem in the T-spherical fuzzy environment and compare the results with some existing measures. Further, by considering linguistic hedges, we theoretically and empirically contrast the performance of the proposed coefficients of correlation for T-SFSs with several existing measures.
Journal: Int. J. of Operational Research
Pages: 384-411
Issue: 3
Volume: 47
Year: 2023
Keywords: correlation coefficient; picture fuzzy set; PIFS; linguistic hedges; spherical fuzzy set; pattern recognition; T-spherical fuzzy set; T-SFS.
File-URL: http://www.inderscience.com/link.php?id=132256
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Handle: RePEc:ids:ijores:v:47:y:2023:i:3:p:384-411

Template-Type: ReDIF-Article 1.0
Author-Name: Omar Elfarouk
Author-X-Name-First: Omar
Author-X-Name-Last: Elfarouk
Author-Name: Kuan Yew Wong
Author-X-Name-First: Kuan Yew
Author-X-Name-Last: Wong
Author-Name: Shamraiz Ahmad
Author-X-Name-First: Shamraiz
Author-X-Name-Last: Ahmad
Title: Stochastic closed-loop supply chain models: literature review, recent developments, and future research directions
Abstract:
A closed-loop supply chain (CLSC) has been defined as a path that the material flows, starting from suppliers till it arrives at customers as a final product, including product recovery from customers to manufacturers for various usages. A stochastic CLSC handles uncertainty in critical parameters that affect CLSC design. This novel study presents a stochastic CLSC review and categorises uncertainty types applied to stochastic parameters under analysis. Also, the study describes various algorithms that are suitable for solving the different stochastic CLSC models. The research benefits practitioners and researchers by creating guidelines for stochastic CLSC design and discusses the strengths and weaknesses of algorithms used. The results showed the significance of a hybrid genetic, particle swarm optimisation (hybrid GA-PSO) in optimising constrained stochastic CLSC models and the advancement of stochastic CLSC research in the automotive industry. Future research should explore more uncertain parameters, methods of modelling social aspects, and new strategies to implement in stochastic CLSC.
Journal: Int. J. of Operational Research
Pages: 357-383
Issue: 3
Volume: 47
Year: 2023
Keywords: closed-loop supply chain; CLSC; stochastic CLSC; solution algorithms; modelling techniques; uncertainty types; uncertainty parameters; reverse logistics; hybrid particle swarm optimisation; stochastic CLSC strategies; stochastic CLSC design; constrained CLSC model.
File-URL: http://www.inderscience.com/link.php?id=132257
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Handle: RePEc:ids:ijores:v:47:y:2023:i:3:p:357-383

Template-Type: ReDIF-Article 1.0
Author-Name: Hadi Sarvari
Author-X-Name-First: Hadi
Author-X-Name-Last: Sarvari
Author-Name: Masoud Raeisi Dehkordi
Author-X-Name-First: Masoud Raeisi
Author-X-Name-Last: Dehkordi
Author-Name: Daniel W.M. Chan
Author-X-Name-First: Daniel W.M.
Author-X-Name-Last: Chan
Author-Name: Matteo Cristofaro
Author-X-Name-First: Matteo
Author-X-Name-Last: Cristofaro
Author-Name: Nerija Banaitienė
Author-X-Name-First: Nerija
Author-X-Name-Last: Banaitienė
Title: Factors affecting suppliers' capacity in outsourcing: a study of the Water and Wastewater Company of Iran
Abstract:
What are the major factors able to increase the capacity of suppliers in outsourcing processes? To answer this research question, a three-round Delphi survey was administered to an expert panel composed of 50 industrial experts of the Water and Wastewater Company (WWC) in Iran. The administered questionnaire &#45; based on 50 items categorised into four groups: judicial-legal, contract, management and financial &#45; was developed based on prior literature and experts' answers. Respondents have been asked to evaluate each item with regard to the capacity of suppliers in outsourcing processes on a five-point Likert scale. Factor analysis, one-sample t-test and the Friedman test were used for data analysis. Results show that the factor categories able to increase the capacity of suppliers in outsourcing processes at WWC are the following, in order of importance: financial, judicial-legal, contracts and management. The findings help to focus on shortcomings and deficiencies of current outsourcing processes.
Journal: Int. J. of Operational Research
Pages: 173-201
Issue: 2
Volume: 47
Year: 2023
Keywords: water industry; wastewater industry; outsourcing; Delphi; supplier capacity; Iran.
File-URL: http://www.inderscience.com/link.php?id=131491
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Handle: RePEc:ids:ijores:v:47:y:2023:i:2:p:173-201

Template-Type: ReDIF-Article 1.0
Author-Name: Gerald Fugger
Author-X-Name-First: Gerald
Author-X-Name-Last: Fugger
Title: Absolute and relative weight restrictions in DEA &#45; a comparison
Abstract:
In most data envelopment analysis (DEA) models, the decision maker (DM) only selects inputs and outputs and does not have to make any previous assumptions about the underlying production process. Without additional weight restrictions, the linear program may assign zero weights to inputs and outputs of certain decision-making units (DMUs). Specialised DMUs can be calculated as efficient because only subsets of the data are included in their efficiency calculation. In most cases, however, it is not desirable to ignore inputs or outputs previously selected by the DM, so technical efficiency can overestimate true efficiency. Additional weight restrictions can avoid specialised DMUs, further improve discrimination between DMUs, and allow the implementation of prior knowledge of the production process. This publication provides a comprehensive literature review of relevant studies on additional weight restrictions in the DEA and discusses their implementation and effects. The latter aspects are demonstrated first for five artificial DMUs and then for 1,000,000 simulated DMUs.
Journal: Int. J. of Operational Research
Pages: 245-271
Issue: 2
Volume: 47
Year: 2023
Keywords: data envelopment analysis; DEA; weight restrictions; assurance regions.
File-URL: http://www.inderscience.com/link.php?id=131492
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Handle: RePEc:ids:ijores:v:47:y:2023:i:2:p:245-271

Template-Type: ReDIF-Article 1.0
Author-Name: Dharmendra Yadav
Author-X-Name-First: Dharmendra
Author-X-Name-Last: Yadav
Author-Name: S.R. Singh
Author-X-Name-First: S.R.
Author-X-Name-Last: Singh
Author-Name: Manisha Sarin
Author-X-Name-First: Manisha
Author-X-Name-Last: Sarin
Title: Multi-item EOQ model for deteriorating items having multivariate dependent demand with variable holding cost and trade credit
Abstract:
In the present study, a multi-item EOQ inventory model for deteriorating items is explored by considering customer's demand as a function of stock and selling price. Further, holding cost is considered as the function of stock-level and shortages are allowed, which partially backlogged. Further, trade credit policy is one of the attractive policies adopted by the supplier in the competitive market to boost the demand. Two different inventory models are investigated by considering the two situations, namely: a) the end stock level is negative; b) the end stock level is positive or zero. Different lemmas and theorems are provided to develop the search algorithm to obtain the optimal solution. The study shows the importance of multivariate demand and trade credit of the optimal policy of inventory. The feasibility of the proposed model is analysed with the help of a numerical example. Sensitivity is also carried out for critical parameters.
Journal: Int. J. of Operational Research
Pages: 202-244
Issue: 2
Volume: 47
Year: 2023
Keywords: multi-item; multivariate demand; variable holding cost; partial backlogging; trade credit.
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Handle: RePEc:ids:ijores:v:47:y:2023:i:2:p:202-244

Template-Type: ReDIF-Article 1.0
Author-Name: Avishek Chakraborty
Author-X-Name-First: Avishek
Author-X-Name-Last: Chakraborty
Author-Name: Shilpi Pal
Author-X-Name-First: Shilpi
Author-X-Name-Last: Pal
Author-Name: Sankar Prasad Mondal
Author-X-Name-First: Sankar Prasad
Author-X-Name-Last: Mondal
Author-Name: Shariful Alam
Author-X-Name-First: Shariful
Author-X-Name-Last: Alam
Title: De-i-fuzzification of linear interval-valued intuitionistic fuzzy number and its application in operation research arena
Abstract:
In this article, we have envisaged the linear interval valued intuitionistic fuzzy number (IVIFN) from various viewpoints. We have introduced the technique of ranking by using the concept of distance measure of linear interval valued intuitionistic fuzzy number. Additionally, the concept of de-i-fuzzification is introduced here using two disjunctive logical approaches and its result is explained in this article which will help us converting a linear interval valued intuitionistic fuzzy number into a crisp number. Lastly, the validation of the model is observed by using two different real life problems firstly, in inventory control and secondly, in transportation arena. The paper suggests two different methods of de-intuitification in linear interval valued intuitionistic fuzzy domain and the comparison between the two methods by using a suitable algorithm has been observed in above real life scenarios that connects all invented results.
Journal: Int. J. of Operational Research
Pages: 143-172
Issue: 2
Volume: 47
Year: 2023
Keywords: linear IVIFN; ranking; distance measure; de-i-fuzzification; inventory control; transportation problem.
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Handle: RePEc:ids:ijores:v:47:y:2023:i:2:p:143-172

Template-Type: ReDIF-Article 1.0
Author-Name: Yusuf Ibrahim Gwanda
Author-X-Name-First: Yusuf Ibrahim
Author-X-Name-Last: Gwanda
Author-Name: Vijay Vir Singh
Author-X-Name-First: Vijay Vir
Author-X-Name-Last: Singh
Title: Replenishment decision for ameliorating inventory with time dependent demand and partial backlogging rate
Abstract:
In contrast to deterioration, amelioration refers to a situation where stocked items incur increased value, quantity, or utility while in stock. It is generally seen in poultry, piggeries, wine industries, etc.; when these items are kept in the farm or the sales counter, they usually incur increase in quantity and value. In this research, we study an inventory model that outlines the optimal replenishment decision for ameliorating items with a partially backlogged time-varying demand rate to raise productivity and understand opportunity cost due to lost sales. Until recently, most of the research in inventory has been focused essentially on deteriorating inventory, giving little or no attention to its ameliorative nature. Therefore, in this research, we developed an EOQ model for such items with time dependent demand and partial backlogging rate. Using differential calculus concept, the various inventory optimising functions, like total cost, number of replenishments, backlogging factors, etc., are computed.
Journal: Int. J. of Operational Research
Pages: 571-584
Issue: 4
Volume: 46
Year: 2023
Keywords: ameliorating inventory; time dependent demand; replenishment decision; partial backlogging; lost sales.
File-URL: http://www.inderscience.com/link.php?id=129958
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Handle: RePEc:ids:ijores:v:46:y:2023:i:4:p:571-584

Template-Type: ReDIF-Article 1.0
Author-Name: Mouloud Cherfaoui
Author-X-Name-First: Mouloud
Author-X-Name-Last: Cherfaoui
Author-Name: Amina Angelika Bouchentouf
Author-X-Name-First: Amina Angelika
Author-X-Name-Last: Bouchentouf
Author-Name: Mohamed Boualem
Author-X-Name-First: Mohamed
Author-X-Name-Last: Boualem
Title: Modelling and simulation of Bernoulli feedback queue with general customers' impatience under variant vacation policy
Abstract:
This article deals with a feedback queueing system with variant of a multiple vacation policy, balking, server's states-dependent reneging, and retention of reneged customers. On arrival, if the server is on vacation (respectively, busy), a customer activates an individual timer &lt;i&gt;T&lt;SUB align="right"&gt;&lt;SMALL&gt;V&lt;/SMALL&gt;&lt;/SUB&gt;&lt;/i&gt; (respectively, &lt;i&gt;T&lt;SUB align="right"&gt;&lt;SMALL&gt;B&lt;/SMALL&gt;&lt;/SUB&gt;&lt;/i&gt;) and starts his patience time. The patience time of each customer during vacation (respectively, busy) period is a random variable with a general probability distribution function &lt;i&gt;G&lt;SUB align="right"&gt;&lt;SMALL&gt;V&lt;/SMALL&gt;&lt;/SUB&gt;&lt;/i&gt; (&#183;) (respectively, &lt;i&gt;G&lt;SUB align="right"&gt;&lt;SMALL&gt;B&lt;/SMALL&gt;&lt;/SUB&gt;&lt;/i&gt;(&#183;)). A customer must leave the system as soon as his patience's time expires. The general distribution of impatience times as well as server's states-dependent reneging makes the analysis of the considered model difficult. We establish the equilibrium analysis of the queueing model, derive its performance measures, and examine it by a series of simulation experiments through a discrete-event simulation. This approach is very appropriate for modelling such complex environment, it attempts to replicate the behaviour of the queueing system providing its characteristic estimations.
Journal: Int. J. of Operational Research
Pages: 451-480
Issue: 4
Volume: 46
Year: 2023
Keywords: queueing; vacation; balking; reneging; general customers' impatience; discrete-event simulation.
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Handle: RePEc:ids:ijores:v:46:y:2023:i:4:p:451-480

Template-Type: ReDIF-Article 1.0
Author-Name: Thyago Celso Cavalcante Nepomuceno
Author-X-Name-First: Thyago Celso Cavalcante
Author-X-Name-Last: Nepomuceno
Author-Name: Ana Paula Cabral Seixas Costa
Author-X-Name-First: Ana Paula Cabral Seixas
Author-X-Name-Last: Costa
Author-Name: Cinzia Daraio
Author-X-Name-First: Cinzia
Author-X-Name-Last: Daraio
Title: Theoretical and empirical advances in the assessment of productive efficiency since the introduction of DEA: a bibliometric analysis
Abstract:
The field of productivity and efficiency analysis is growing exponentially, both in terms of new methods and approaches proposed to assess the efficiency of productive decision making units (DMUs), and in terms of innovative and traditional empirical application of existing methods. This survey provides a bibliometric investigation on the advances of the data envelopment analysis (DEA) from the seminal work of Charnes et al. (1978) to the most recent empirical and theoretical contributions. The most influential authors, outlets, contributions and frontier models are investigated through a timeline-based mapping and distance-based clusters of the state-of-the-art in the field of productivity and efficiency analysis with the support of the analytic tools CitNetExplorer and VOSviewer. The visualisation of the DEA relevant extensions is presented with the identification of application gaps and the evaluation of so far proposed methodologies based on a network of co-citations and bibliometric coupling. We provide a valuable reference for researchers to understand and overview potential advances in this field.
Journal: Int. J. of Operational Research
Pages: 505-549
Issue: 4
Volume: 46
Year: 2023
Keywords: heritage of Abraham Charnes; data envelopment analysis; DEA; frontier efficiency; scientific landscape; bibliometric network.
File-URL: http://www.inderscience.com/link.php?id=129960
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Handle: RePEc:ids:ijores:v:46:y:2023:i:4:p:505-549

Template-Type: ReDIF-Article 1.0
Author-Name: Mohammed Shahid Irshad
Author-X-Name-First: Mohammed Shahid
Author-X-Name-Last: Irshad
Author-Name: Adarsh Anand
Author-X-Name-First: Adarsh
Author-X-Name-Last: Anand
Author-Name: Sankar Kumar Roy
Author-X-Name-First: Sankar Kumar
Author-X-Name-Last: Roy
Title: Dynamic programming approach to achieve higher view-count for YouTube videos
Abstract:
Broadcast media telecasts their programs at fixed timing, which forces the viewer to be presented at the time of broadcast whereas online streaming platforms allows viewers to watch videos any time. YouTube being the free streaming platform attracts lot of viewers where short videos are uploaded. With its growing popularity content creators have started uploading series of scripted or non-scripted content (video) in episode forms known as a web series. A web series usually has 5-10 episodes, and each episode is uploaded independently. The producers desire maximum view-counts with minimum promotional expenditure on each web series. This paper presents an optimisation modelling framework for budget allocation in order to achieve a greater number of view-counts. The proposed framework takes into consideration the aspiration level for the episodes wherein; dynamic programming approach has been utilised to numerically illustrate the validation on two web series on YouTube.
Journal: Int. J. of Operational Research
Pages: 437-450
Issue: 4
Volume: 46
Year: 2023
Keywords: budget allocation; dynamic programming; view-count; web series; YouTube.
File-URL: http://www.inderscience.com/link.php?id=129965
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Handle: RePEc:ids:ijores:v:46:y:2023:i:4:p:437-450

Template-Type: ReDIF-Article 1.0
Author-Name: M. Abdul Reiyas
Author-X-Name-First: M. Abdul
Author-X-Name-Last: Reiyas
Author-Name: K. Jeganathan
Author-X-Name-First: K.
Author-X-Name-Last: Jeganathan
Title: A classical retrial queueing inventory system with two component demand rate
Abstract:
We deal with a two component demand rate inventory system that is composed of two arrival patterns of customers known as homogeneous and non-homogeneous arrival patterns. The homogeneous arrival pattern occurs at zero inventory and the arriving customer compulsorily enters into an infinite orbit. But at the time of positive inventory, the non-homogeneous arrival pattern occurs at a rate which depends on the present stock level (PSL). We set a classical retrial policy (CRP) for an orbital demand and (&lt;i&gt;s&lt;/i&gt;, &lt;i&gt;Q&lt;/i&gt;) ordering policy to fix for any reorder. In this model, Laplace-Stieltjes transform (LST) is used to investigate the waiting time of a retrial demand under the stability condition and all the necessary system characteristics are measured using a matrix-geometric approach and further the sufficient numerical tabulations and illustrations are detailed to explore the suitability of the proposed model.
Journal: Int. J. of Operational Research
Pages: 508-533
Issue: 4
Volume: 47
Year: 2023
Keywords: stock-dependent; retrial queue; waiting time; lead time.
File-URL: http://www.inderscience.com/link.php?id=132813
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Handle: RePEc:ids:ijores:v:47:y:2023:i:4:p:508-533

Template-Type: ReDIF-Article 1.0
Author-Name: Mai A. Ibrahim
Author-X-Name-First: Mai A.
Author-X-Name-Last: Ibrahim
Author-Name: Mohammed El-Beltagy
Author-X-Name-First: Mohammed
Author-X-Name-Last: El-Beltagy
Author-Name: Motaz Khorshid
Author-X-Name-First: Motaz
Author-X-Name-Last: Khorshid
Title: Portfolio optimisation in emerging markets: mean and median models assessment
Abstract:
Portfolio optimisation is instrumental in financial decision making. The basic Markowitz model is considered a milestone in financial theory but many examples including emerging markets were shown not to follow Markowitz's assumption of normality, hence alternative models have been suggested. The traditional mathematical programming that suits well the Markowitz model falls short in other complex situations of alternative portfolio models. Multi-objective evolutionary algorithms are well suited to solve these models with conflicting objectives regardless of their complexity and mathematical nature. Four models that belong to the mean models are compared to three median models and are formulated as multi-objective problems and solved using the non-dominated sorting genetic algorithm-II. The models are tested on real data of the Egyptian index and compared to two other emerging markets. The results show the outperformance of the median models over the mean models and the tail risk measures over the symmetric risk measures.
Journal: Int. J. of Operational Research
Pages: 413-439
Issue: 4
Volume: 47
Year: 2023
Keywords: evolutionary computations? multi-objective programming? conditional value at risk? CVaR? value at risk? VaR? mean models? median models.
File-URL: http://www.inderscience.com/link.php?id=132814
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Handle: RePEc:ids:ijores:v:47:y:2023:i:4:p:413-439

Template-Type: ReDIF-Article 1.0
Author-Name: Neet Vadgaonkar
Author-X-Name-First: Neet
Author-X-Name-Last: Vadgaonkar
Author-Name: Tejas Fulwala
Author-X-Name-First: Tejas
Author-X-Name-Last: Fulwala
Author-Name: Saurav Mahajani
Author-X-Name-First: Saurav
Author-X-Name-Last: Mahajani
Author-Name: Dinesh Shinde
Author-X-Name-First: Dinesh
Author-X-Name-Last: Shinde
Title: Selection of materials formulation for non-asbestos friction materials using entropy weight-based TOPSIS and COPRAS multi-criteria decision making
Abstract:
Friction materials are the prime materials which should have higher as well as stable coefficient of friction and lower wear at various braking applications. The demand of these diverse tribological characteristics makes the selection of materials formulation for the friction materials, a critical task. This paper presents an attempt to select the materials formulation for the friction material using two advanced MCDM methods (TOPSIS and COPRAS). Friction materials were prepared at one of the manufacturer from three materials formulation under study (FM01, FM02 and FM03). The experimental set up was developed dedicated to the testing of the friction materials at actual operating conditions. Based on the experimental results, seven criterions were chosen for assessment of the materials formulation in the MCDM approach. TOPSIS and COPRAS methodologies have systematically implemented for evaluation of the materials formulations. Based on the assessments it was concluded that the current approach is useful in evaluation of materials formulation based on the experimental performance. The formulation FM03 was found to be the best material formulation of the three.
Journal: Int. J. of Operational Research
Pages: 461-482
Issue: 4
Volume: 47
Year: 2023
Keywords: friction materials; materials formulation; Taguchi method; multi-criteria decision making; MCDM; TOPSIS; COPRAS.
File-URL: http://www.inderscience.com/link.php?id=132815
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Handle: RePEc:ids:ijores:v:47:y:2023:i:4:p:461-482

Template-Type: ReDIF-Article 1.0
Author-Name: Michael O. Olusola
Author-X-Name-First: Michael O.
Author-X-Name-Last: Olusola
Author-Name: Sidney I. Onyeagu
Author-X-Name-First: Sidney I.
Author-X-Name-Last: Onyeagu
Title: Performance of some discriminant analysis techniques
Abstract:
This paper re-appraises the use of the minimised sum of deviations by the proportion method (MSDP), the linear discriminant analysis (LDA) embodied in Minitab and the logit discriminant analysis (LoDA), for allocating observations into one of two mutually exclusive groups using some examples. In a recent paper, the MSDP was proposed as a means of generating a discriminant function that separates observations in a training sample (or development sample) of known group membership into specified groups. In the MSDP formulation, the sum of the proportion of exterior deviations is minimised subject to the group separation constraints, the normalisation constraint, the upper bound constraints on proportions of exterior deviations and the sign unrestriction vis-&#224;-vis the non-negativity constraints. The decision rule on group-membership prediction is constructed using the apparent error rate. This study compares the performance of the MSDP with the LDA and LoDA based on their classification accuracy. The obtained results indicate that the LoDA is not suitable for the examples considered and that the MSDP is an appropriate alternative to the LDA.
Journal: Int. J. of Operational Research
Pages: 483-507
Issue: 4
Volume: 47
Year: 2023
Keywords: binary classification; hit rate; linear discriminant function; linear programming; minimised sum of deviation by proportion method.
File-URL: http://www.inderscience.com/link.php?id=132816
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Handle: RePEc:ids:ijores:v:47:y:2023:i:4:p:483-507

Template-Type: ReDIF-Article 1.0
Author-Name: Mohd. Shamim Ansari
Author-X-Name-First: Mohd. Shamim
Author-X-Name-Last: Ansari
Author-Name:  Monika
Author-X-Name-First: 
Author-X-Name-Last: Monika
Author-Name: Irfan Ali
Author-X-Name-First: Irfan
Author-X-Name-Last: Ali
Title: Data envelopment analysis in efficiency measuring of District Central Cooperative Banks in India: a case study
Abstract:
Over time, cooperative banks lost their dominance in agricultural credit which they enjoyed earlier, and presently they are facing many issues such as deposit management, liquidity management, deterioration in asset quality and so on which affect the performance and efficiency of banks. This study will help the policymakers and management to understand the nature and extent of inefficiency in District Central Cooperative Banks (DCCBs). Efficiency is essential for profitable growth of any decision-making units (DMUs), which will ensure value appreciation and survival in the long run. This paper is an attempt to measure the technical efficiency of DCCBs of Uttar Pradesh by applying Charnes, Cooper and Rhodes (CCR) model (Charnes et al., 1978) of data envelopment analysis. For the study purpose, all 50 DCCBs operating in the Uttar Pradesh state of India have been divided into 18 divisions as per the zonal classification of Uttar Pradesh administration. The estimated result shows that two-division are relatively most efficient, while three-division are less efficient. By improving the management of NPA, deposit management, increasing borrowing, loans and advances, less efficient banks can improve their efficiency.
Journal: Int. J. of Operational Research
Pages: 440-460
Issue: 4
Volume: 47
Year: 2023
Keywords: cooperative; non-performing asset; NPA; technical efficiency; Charnes&#44; Cooper and Rhodes; CCR model; data envelopment analysis; DEA.
File-URL: http://www.inderscience.com/link.php?id=132817
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Handle: RePEc:ids:ijores:v:47:y:2023:i:4:p:440-460

Template-Type: ReDIF-Article 1.0
Author-Name: Amit Kumar Saraswat
Author-X-Name-First: Amit Kumar
Author-X-Name-Last: Saraswat
Author-Name: Ashish Sharma
Author-X-Name-First: Ashish
Author-X-Name-Last: Sharma
Title: Inventory model for the growing items with price dependent demand, mortality and deterioration
Abstract:
Growing items like livestock, chicks, etc. gain weight in the growing phase but some of them are lost due to mortality. In the selling phase, some inventory is lost due to deterioration. Such aspects make procurement decisions quite difficult for these items. In the light of such aspects, we developed an inventory model for the growing items with price dependent demand, mortality and deterioration. Shortages are partially backlogged. Our aim is to optimise the total cost by determining the optimal ordered quantity and total cycle length. Convexity of the cost function with respect to the decision variables has been discussed analytically. Solution procedure along with numerical example at different percentage of backlogged quantity is provided to show the applicability and validity of our model. Sensitivity analysis shows that total cycle length is the most sensitive among all the decision variables and parameters.
Journal: Int. J. of Operational Research
Pages: 534-546
Issue: 4
Volume: 47
Year: 2023
Keywords: growing items; price dependent demand; deterioration; mortality; inventory model.
File-URL: http://www.inderscience.com/link.php?id=132818
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Handle: RePEc:ids:ijores:v:47:y:2023:i:4:p:534-546

Template-Type: ReDIF-Article 1.0
Author-Name: Richard J. Caron
Author-X-Name-First: Richard J.
Author-X-Name-Last: Caron
Author-Name: Tareq Oshan
Author-X-Name-First: Tareq
Author-X-Name-Last: Oshan
Title: Optimal warehouse location and size in practice
Abstract:
Facility location decisions are crucial in supply chain network design because they affect a firm's profitability and success. We present an example of the optimal selection of the location and size of warehouses for a Canadian company with operations across the nation. We begin with a description of the optimisation model that will be used to determine the size and location of new warehouses as well as the allocation of branches to warehouse. We will then discuss the characteristics of the company and explain the challenges that were overcome in fitting the application to the model. We continue with an analysis of the solutions and follow that with a summary of lessons learned.
Journal: Int. J. of Operational Research
Pages: 547-557
Issue: 4
Volume: 47
Year: 2023
Keywords: supply chain network design? application? case study.
File-URL: http://www.inderscience.com/link.php?id=132819
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Handle: RePEc:ids:ijores:v:47:y:2023:i:4:p:547-557

Template-Type: ReDIF-Article 1.0
Author-Name: Rohit Sindhwani
Author-X-Name-First: Rohit
Author-X-Name-Last: Sindhwani
Author-Name: Venkataramanaiah Saddikuti
Author-X-Name-First: Venkataramanaiah
Author-X-Name-Last: Saddikuti
Author-Name: Omkarprasad S. Vaidya
Author-X-Name-First: Omkarprasad S.
Author-X-Name-Last: Vaidya
Title: Evaluation of enablers of supply chain resilience and responsibility in India during large-scale disruptions: an ISM-ANP approach
Abstract:
The healthcare and economic distress caused by large-scale disruptive events is most severe. The recent pandemic, SARS-CoV-2, has affected the entire world with its relentless energy. Only few supply chains (SCs) have remained resilient during disruptions. We highlight that these organisations do not just focus on SC resilience; the innate nature of being responsible has helped them stay afloat. Thus, we understand and identify various enablers of resilient and responsible SCs for survival during large-scale disruptions in India. 15 enablers and 30 sub-enablers for SC survivability are identified from literature and verified by experts. Integrated ISM-ANP approach and MICMAC analysis is adopted to develop a conceptual framework and prioritise enablers for SC survivability. The three most important sub-enablers in near term are advanced tracking and tracing system (0.0807), information sharing of business objectives (0.0776) and multi-way partnership (0.0776), respectively.
Journal: Int. J. of Operational Research
Pages: 178-220
Issue: 2
Volume: 48
Year: 2023
Keywords: survivability; responsible supply chain; supply chain resilience; pandemic disruption; SARS-CoV-2; ISM-ANP; India.
File-URL: http://www.inderscience.com/link.php?id=134397
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Handle: RePEc:ids:ijores:v:48:y:2023:i:2:p:178-220

Template-Type: ReDIF-Article 1.0
Author-Name: Anirudh Chandra
Author-X-Name-First: Anirudh
Author-X-Name-Last: Chandra
Author-Name: Murali Seshadri
Author-X-Name-First: Murali
Author-X-Name-Last: Seshadri
Author-Name: Probal Chaudhury
Author-X-Name-First: Probal
Author-X-Name-Last: Chaudhury
Title: A study on optimisation of vehicle allocation for evacuation during a site emergency at a nuclear power plant
Abstract:
Indian nuclear power plants have graded engineered safety features because of which accidents with large scale consequences are highly improbable. However, regulatory requirements state the necessity of a site evacuation following a site emergency or an off-site emergency. Planning for this emergency requires allocation of evacuating vehicles. This study provides a simplified model of evacuation, with focus on minimising the travel time. The vehicle allocation was considered to be an optimisation problem. Mixed integer linear programming (MILP) was used to solve this constrained optimisation problem for a particular nuclear facility site. Different evacuation modes were formulated and the evacuation travel times for each mode were estimated. The most reasonable mode of evacuation was found to be a simultaneous supply of vehicles from vehicle depot to facilities, followed by a sequential evacuation of each facility to the exit. This solution reduces unnecessary congestion at exits and also reduces the travel time.
Journal: Int. J. of Operational Research
Pages: 246-258
Issue: 2
Volume: 48
Year: 2023
Keywords: site emergency; evacuation; mixed integer linear programming; MILP; optimisation; emergency response management; nuclear emergency.
File-URL: http://www.inderscience.com/link.php?id=134398
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Handle: RePEc:ids:ijores:v:48:y:2023:i:2:p:246-258

Template-Type: ReDIF-Article 1.0
Author-Name: Theerasak Srimitrungroj
Author-X-Name-First: Theerasak
Author-X-Name-Last: Srimitrungroj
Author-Name: Tarit Rattanamanee
Author-X-Name-First: Tarit
Author-X-Name-Last: Rattanamanee
Title: An optimisation approach in trough angle selection of conveyor five roll
Abstract:
This paper study the optimisation techniques by using numerical method for analysing selection problems, choosing the size, length and angle of inclination for the conveyor belt roller of conveyor five rolls to obtain the maximum material transfer rate. The mathematical model is formulated as nonlinear programming. The Lagrange multiplier technique is used to solve the solution. The numerical result shows that setting trough set angle number two (&lt;i&gt;&#955;&lt;/i&gt;&lt;SUB align="right"&gt;&lt;SMALL&gt;2&lt;/SMALL&gt;&lt;/SUB&gt;) twice as trough set angle number one (&lt;i&gt;&#955;&lt;/i&gt;&lt;SUB align="right"&gt;&lt;SMALL&gt;1&lt;/SMALL&gt;&lt;/SUB&gt;) yields the maximum material transfer rate.
Journal: Int. J. of Operational Research
Pages: 221-232
Issue: 2
Volume: 48
Year: 2023
Keywords: trough angle selection; belt conveyor; bulk material handling; optimisation.
File-URL: http://www.inderscience.com/link.php?id=134399
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Handle: RePEc:ids:ijores:v:48:y:2023:i:2:p:221-232