Template-Type: ReDIF-Article 1.0
Author-Name: Michael Jahr
Author-X-Name-First: Michael
Author-X-Name-Last: Jahr
Author-Name: Sebastian Fußel
Author-X-Name-First: Sebastian
Author-X-Name-Last: Fußel
Title: Capacity smoothing and job shop scheduling with backlog carryover and job prioritisation: a case study from the carbon graphite processing industry
Abstract:
In this paper, we consider the job shop scheduling problem (JSSP) in single-stage production with n-jobs and m-parallel unrelated machines. We present a specific multi-objective nonlinear binary optimisation model for a real-life case study from the carbon graphite processing industry. In particular, we develop a trade-off objective function with job prioritisation subject to capacity constraints and backlog carryover, implemented in the GAMS standard optimisation software package and solved with the BARON solver. The approach is compared to an adjusted Moore-Hodgson heuristics and the company's existing first come first serve-based procedure. The application of the model on a realistic data set and the analysis of the results validate that the presented approach is efficient.
Journal: Int. J. of Operational Research
Pages: 316-331
Issue: 3
Volume: 50
Year: 2024
Keywords: job shop scheduling; binary programming; capacity smoothing; job prioritisation.
File-URL: http://www.inderscience.com/link.php?id=139266
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:3:p:316-331
Template-Type: ReDIF-Article 1.0
Author-Name: Sergey Anokhin
Author-X-Name-First: Sergey
Author-X-Name-Last: Anokhin
Author-Name: Maxim Bushuev
Author-X-Name-First: Maxim
Author-X-Name-Last: Bushuev
Author-Name: Elena Akerman
Author-X-Name-First: Elena
Author-X-Name-Last: Akerman
Author-Name: Vladislav Spitsin
Author-X-Name-First: Vladislav
Author-X-Name-Last: Spitsin
Author-Name: Dmitry Anokhin
Author-X-Name-First: Dmitry
Author-X-Name-Last: Anokhin
Title: Arbitrage opportunity estimation: the case of the Cobb-Douglas production function
Abstract:
The entrepreneurship literature has recently become aware of the phenomenal promise of efficiency evaluation techniques for gauging one of its key concepts - arbitrage opportunities. Unfortunately, the use of DEA, the dominant efficiency evaluation approach, for this purpose is limited by some of the properties of the method. In this paper we develop an alternative method that could be used to assess opportunities for imitation (arbitrage) available to entrepreneurial firms. We adapt the minimum performance inefficiency technique to the Cobb-Douglas production function, compare the new method to the dominant efficiency estimation techniques that could be used to measure arbitrage opportunity, and run a Monte-Carlo experiment to explore its applicability to alternative types of production functions typically tackled with data envelopment analysis. We show that the new method may provide more accurate results than the mainstream approaches, and demonstrate a real-life application of the technique in the publishing industry setting.
Journal: Int. J. of Operational Research
Pages: 38-58
Issue: 1
Volume: 51
Year: 2024
Keywords: data envelopment analysis; DEA; minimum performance inefficiency; MPI; entrepreneurship; arbitrage opportunities; Cobb-Douglas.
File-URL: http://www.inderscience.com/link.php?id=141326
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:1:p:38-58
Template-Type: ReDIF-Article 1.0
Author-Name: Layek Abdel-Malek
Author-X-Name-First: Layek
Author-X-Name-Last: Abdel-Malek
Author-Name: Pinyuan Shan
Author-X-Name-First: Pinyuan
Author-X-Name-Last: Shan
Author-Name: Roberto Montanari
Author-X-Name-First: Roberto
Author-X-Name-Last: Montanari
Title: On modelling and lot sizing of the newsvendor problem with surrogate product
Abstract:
There is a growing interest in the newsvendor problem and its extensions. One of these extensions is in the area of product substitution. In this work, we model the situation where two perishable products are considered, a primary product and a surrogate one. The primary product yields higher profit than the surrogate. The objective of the model is to find the optimal lot sizes of both products that minimise the total ordering cost (alternatively, maximise the profit). Numerical analysis and examples to show the contribution of the surrogate approach to the overall performance of the policy are presented as well as some managerial insights. The applications of this model can occur in retail of perishable commodities, fashion sector, and products of high rates of technological obsolescence as well as service industries such as hotel reservation and car rentals.
Journal: Int. J. of Operational Research
Pages: 59-80
Issue: 1
Volume: 51
Year: 2024
Keywords: newsvendor problem; stochastic optimisation; supply chain management; product substitute; decision making.
File-URL: http://www.inderscience.com/link.php?id=141327
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:1:p:59-80
Template-Type: ReDIF-Article 1.0
Author-Name: Dhananjay R. Thiruvady
Author-X-Name-First: Dhananjay R.
Author-X-Name-Last: Thiruvady
Author-Name: Su Nguyen
Author-X-Name-First: Su
Author-X-Name-Last: Nguyen
Author-Name: Christian Blum
Author-X-Name-First: Christian
Author-X-Name-Last: Blum
Author-Name: Andreas T. Ernst
Author-X-Name-First: Andreas T.
Author-X-Name-Last: Ernst
Title: An efficient merge search matheuristic for maximising net present value in project scheduling
Abstract:
Resource constrained project scheduling (RCPS) is an important combinatorial optimisation problem with many practical applications. With complex requirements such as precedence constraints, limited resources, and finance-based objectives, finding optimal solutions for large problem instances is very challenging. To address this challenge, we propose a new matheuristic algorithm based on merge search and parallel computing to solve RCPS with the aim of maximising the net present value. This paper presents merge search, a novel matheuristic designed for RCPS, which is a variable partitioning and merging mechanism to formulate restricted integer programs. Parallel ant colony optimisation can generate excellent solutions for RCPS, and we use this method to generate the solution pool. The experimental results show that the proposed method outperforms the current state-of-the-art algorithms on known benchmark problem instances. Further analyses also demonstrate that the proposed algorithm is substantially more efficient compared to its counterparts in respect to its convergence properties.
Journal: Int. J. of Operational Research
Pages: 104-127
Issue: 1
Volume: 51
Year: 2024
Keywords: project scheduling; net present value; NPV; merge search; construct, merge, solve and adapt; CMSA; parallel ant colony optimisation.
File-URL: http://www.inderscience.com/link.php?id=141328
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:1:p:104-127
Template-Type: ReDIF-Article 1.0
Author-Name: Hsin-Chan Huang
Author-X-Name-First: Hsin-Chan
Author-X-Name-Last: Huang
Author-Name: Jiefeng Xu
Author-X-Name-First: Jiefeng
Author-X-Name-Last: Xu
Author-Name: Alvin Lim
Author-X-Name-First: Alvin
Author-X-Name-Last: Lim
Title: Marketing mix optimisation with practical constraints
Abstract:
In this paper, we address a variant of the marketing mix optimisation (MMO) problem which is commonly encountered in many industries, e.g., retail and consumer packaged goods (CPGs) industries. This problem requires the spend for each marketing activity, if adjusted, be changed by a non-negligible degree (minimum change) and also the total number of activities with spend change be limited (maximum number of changes). With these two additional practical requirements, the original resource allocation problem is formulated as a mixed integer nonlinear program (MINLP). Given the size of a realistic problem in the industrial setting, the state-of-the-art integer programming solvers may not be able to solve the problem to optimality in a straightforward way within a reasonable amount of time. Hence, we propose a systematic reformulation to ease the computational burden. Computational tests show significant improvements in the solution process.
Journal: Int. J. of Operational Research
Pages: 128-149
Issue: 1
Volume: 51
Year: 2024
Keywords: marketing mix optimisation; MMO; optimisation; semi-continuous variable; cardinality constraint; perspective reformulation; mixed integer quadratic program; MIQP; mixed integer second-order cone program; MISOCP.
File-URL: http://www.inderscience.com/link.php?id=141330
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:1:p:128-149
Template-Type: ReDIF-Article 1.0
Author-Name: Santosh Satyanarayan Baheti
Author-X-Name-First: Santosh Satyanarayan
Author-X-Name-Last: Baheti
Title: International Journal of Operational Research: a retrospective overview between 2005 and 2020
Abstract:
The study presents a retrospective analysis of the <i>International Journal of Operational Research</i> (<i>IJOR</i>) across its 16 years of publication, 2005 to 2020. <i>IJOR</i> is a journal of international repute that publishes original and peer-reviewed research in the management sciences, decision sciences, and operation research domain. The journal reached its 17th year of publishing in 2021. This study provides a comprehensive overview of 1,023 publications using the bibliometric data analysis technique. The study focuses on the contribution of <i>IJOR</i> to the knowledge domain through publishing trends, authorship patterns, dominant authors, prominent articles, nature of studies, and thematic analysis. Co-occurrence analysis of all keywords, co-authorship, citation and co-citation analysis of authors, countries, and institutions is performed through VOSviewer software. The findings of the study emphasise the relationship of <i>IJOR</i> to different fields.
Journal: Int. J. of Operational Research
Pages: 1-37
Issue: 1
Volume: 51
Year: 2024
Keywords: bibliometrics; Scopus; operational research; VOSviewer.
File-URL: http://www.inderscience.com/link.php?id=141331
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:1:p:1-37
Template-Type: ReDIF-Article 1.0
Author-Name: Angelos Kourepis
Author-X-Name-First: Angelos
Author-X-Name-Last: Kourepis
Author-Name: Alexandros Diamantidis
Author-X-Name-First: Alexandros
Author-X-Name-Last: Diamantidis
Author-Name: Konstantinos Doios
Author-X-Name-First: Konstantinos
Author-X-Name-Last: Doios
Author-Name: Konstantinos Papalamprou
Author-X-Name-First: Konstantinos
Author-X-Name-Last: Papalamprou
Title: Performance analysis of two stage flow lines with non-identical and unreliable parallel machines that produce good quality and defective products
Abstract:
This manuscript analyses systems with two workstations, one buffer and non-identical parallel unreliable machines. The parallel machines are subject to operational and quality failures. All parallel machines have exponential service, operational failure, quality failure and repair rates. Quality failures in addition to the common operational failures are used to model and analyse systems where defective parts can be produced. A recursive algorithm is proposed that generates the transition probabilities matrix for any value of the system's parameters. Moreover, after solving all the corresponding transition probabilities equations, the most important performance measures are calculated such as the production of good quality and defective parts and the average work in progress.
Journal: Int. J. of Operational Research
Pages: 332-363
Issue: 3
Volume: 50
Year: 2024
Keywords: unreliable parallel machines; flow lines; quality failures; defective products; Markov chain processes; performance evaluation.
File-URL: http://www.inderscience.com/link.php?id=139284
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:3:p:332-363
Template-Type: ReDIF-Article 1.0
Author-Name: Anas Sani Maihulla
Author-X-Name-First: Anas Sani
Author-X-Name-Last: Maihulla
Author-Name: Ibrahim Yusuf
Author-X-Name-First: Ibrahim
Author-X-Name-Last: Yusuf
Title: Performance analysis of reverse osmosis system using reliability availability maintainability and dependability technique
Abstract:
Reverse osmosis systems have recently made significant contributions to the growth of renewable filtered water sources. RAMD (reliability, availability, maintainability, and dependability) is an engineering tool for addressing operational and safety risks in systems. It seeks to identify a system's weakest areas in order to improve overall system dependability. Elaborate RAMD analysis of these systems is presented starting from the subsystem level, then the overall system. Further, an improved reliability block diagram is presented to estimate the RAMD performance of six practical reverse osmosis system. A novel approach is also presented in order to estimate the best probability subsystem. The monitoring of the critical subassemblies of reverse osmosis system will increase the possibility not only for improving the availability of the system, but also to optimise the mean time to the system failure (MTTF). It will also inform the operators about the status of the various subsystems of the system.
Journal: Int. J. of Operational Research
Pages: 81-103
Issue: 1
Volume: 51
Year: 2024
Keywords: reverse osmosis; reliability; availability; safety; maintainability; subsystems; dependability.
File-URL: http://www.inderscience.com/link.php?id=141333
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:1:p:81-103
Template-Type: ReDIF-Article 1.0
Author-Name: Nita H. Shah
Author-X-Name-First: Nita H.
Author-X-Name-Last: Shah
Author-Name: Ekta Patel
Author-X-Name-First: Ekta
Author-X-Name-Last: Patel
Author-Name: Kavita Rabari
Author-X-Name-First: Kavita
Author-X-Name-Last: Rabari
Author-Name: Hardik N. Soni
Author-X-Name-First: Hardik N.
Author-X-Name-Last: Soni
Title: Optimal ordering policies for stock-dependent demand under partial linked-to-order credit period
Abstract:
Trade credit is recognised as an important strategy to increase productivity in inventory management. Hence, an economic order quantity model for stock-dependent demand is proposed under linked-to-order fully and partial delay in payment by considering the practical scenario. The items gradually deteriorate. More precisely, the payment scheme is structured as follows: the order quantity is greater than or equal to a predetermined quantity then full trade credit is offered else partial trade is offered. Shortages are not allowed. The algorithmic procedure to find the optimal replenishment cycle is developed. Finally, managerial insights are drawn to observe the applicability of the proposed model and perform sensitivity analysis on different inventory parameters.
Journal: Int. J. of Operational Research
Pages: 324-348
Issue: 3
Volume: 51
Year: 2024
Keywords: inventory model; trade credit; partial trade credit; linked-to-order trade credit; stock-dependent demand; deterioration.
File-URL: http://www.inderscience.com/link.php?id=142371
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:3:p:324-348
Template-Type: ReDIF-Article 1.0
Author-Name: Peter E. Ezimadu
Author-X-Name-First: Peter E.
Author-X-Name-Last: Ezimadu
Author-Name: Jonathan Tsetimi
Author-X-Name-First: Jonathan
Author-X-Name-Last: Tsetimi
Title: Cooperative advertising coordination in two-level supply channel using differential game
Abstract:
There are a lot of models in the cooperative advertising literature, however, only a few have considered channel coordination, and much fewer on the possibility of implementation. This work examines cooperative advertising in a bilateral monopoly using game theory. It considers a two-way coordination strategy in which the manufacturer who is the Stackelberg leader engages in national advertising and provides subsidy for retail advertising while the retailer who is the follower engages in local advertising and provides motivational advertising support to the manufacturer. The work considers four game scenarios. For each scenario, it determines the players' optimal advertising efforts and payoffs based on the advertising supports. The work observes that the players' performances and channel performance are worst with non-provision of support. The retailer performs best with manufacturer's support, while the manufacturer and the entire channel performances are best with mutual support for each other.
Journal: Int. J. of Operational Research
Pages: 382-405
Issue: 3
Volume: 51
Year: 2024
Keywords: bilateral monopoly; channel coordination; cooperative advertising; co-op advertising; differential game; local advertising; national advertising; Stackelberg game; supply chain; supply channel.
File-URL: http://www.inderscience.com/link.php?id=142372
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:3:p:382-405
Template-Type: ReDIF-Article 1.0
Author-Name: Ranu Singh
Author-X-Name-First: Ranu
Author-X-Name-Last: Singh
Author-Name: Vinod Kumar Mishra
Author-X-Name-First: Vinod Kumar
Author-X-Name-Last: Mishra
Title: An optimal integrated inventory management for vendor-buyer with substitutable deteriorating product under joint replenishment and cost of substitution
Abstract:
Today's supply chain network needs a new paradigm shift in the way the buyer and the vendor collaborate. The present article develops an integrated approach for vendor-buyer considering substitutable deteriorating products under joint replenishment. In this study, we consider two mutually substitutable products, and substitution is only taken for the buyer end. In case of one product is out of inventory, the demand for that product can be partially met by the stock of the other product otherwise demand is lost. In the case of substitution, an extra cost of substitution gets involved. The demand, deterioration, and production rate are assumed to be deterministic and constant. The objective of this study is to find the optimal number of deliveries, lot size, production quantity, and stock levels to minimise the integrated entire cost incurred by vendor and buyer. The solution method is suggested to derive the optimal value. A numerical study is provided to show the applicability of the model. Sensitivity analysis and managerial implications are presented to illustrate the validity of the integrated model. The comparative analysis shows that in case of product substitution the effective integrated cost is considerably reduced.
Journal: Int. J. of Operational Research
Pages: 297-323
Issue: 3
Volume: 51
Year: 2024
Keywords: vendor-buyer; optimal policy; deterioration; substitutable product; integrated model; joint replenishment.
File-URL: http://www.inderscience.com/link.php?id=142373
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:3:p:297-323
Template-Type: ReDIF-Article 1.0
Author-Name: M.C.M. Rodrigues
Author-X-Name-First: M.C.M.
Author-X-Name-Last: Rodrigues
Author-Name: C.S. Oliveira
Author-X-Name-First: C.S.
Author-X-Name-Last: Oliveira
Title: A simple use of OR techniques to complete seismic records without magnitude value
Abstract:
We are working on modelling the phenomenon of seismic occurrences in the Azores region, which requires, among other characteristics, the knowledge of the magnitude of past events. Approximately 18,000 seismic records are available, but more than 3,000 (±17%) have no information on magnitude. In this paper, we propose a methodology to generate the missing values of magnitude. This is based on an unusual but very simple application of OR, where pseudo-random values of magnitude are generated according to the statistical distribution of magnitude in records where information is complete. Special care is exercised on the upper tail of the distribution. The procedure does not determine the magnitude of an earthquake at a specific date, but the records become more complete in the sense that the generated values have a statistical distribution identical to the observed values. Statistical tests and the confirmation of the Gutenberg-Richter law validate the methodology.
Journal: Int. J. of Operational Research
Pages: 349-366
Issue: 3
Volume: 51
Year: 2024
Keywords: natural phenomena simulation; simulation to complete missing values; upper tail generation; OR application; magnitude estimation; seismic process of occurrences; earthquake hazards; Azores.
File-URL: http://www.inderscience.com/link.php?id=142374
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:3:p:349-366
Template-Type: ReDIF-Article 1.0
Author-Name: Rubina Mittal
Author-X-Name-First: Rubina
Author-X-Name-Last: Mittal
Author-Name: Rajat Arora
Author-X-Name-First: Rajat
Author-X-Name-Last: Arora
Author-Name: Anu Gupta Aggarwal
Author-X-Name-First: Anu Gupta
Author-X-Name-Last: Aggarwal
Title: Optimal testing resource allocation for software system: an approach combining interval-valued intuitionistic fuzzy sets and AHP
Abstract:
Among all the phases of the software development process, testing consumes the majority of the total available resources. Therefore, it is vital to efficiently manage the testing resources for the development of quality software. In this study, we propose an approach for allocating the resources optimally among the modules of the software system considering the quality characteristics discussed in the literature. The methodology incorporates interval-valued intuitionistic fuzzy analytic hierarchy process (IVIF-AHP) in the optimisation problem to maximise the reliability of the software subject to the availability of resources. Optimisation is grounded on Weibull testing effort-dependent failure phenomenon considering change point and logistic fault reduction factor. The weights obtained for modules through IVIF-AHP are further used in prioritising them in the optimisation problem. The detailed methodology has been discussed followed by a numerical illustration.
Journal: Int. J. of Operational Research
Pages: 423-448
Issue: 3
Volume: 51
Year: 2024
Keywords: interval-valued intuitionistic fuzzy sets; analytic hierarchy process; AHP; resource allocation; software reliability growth model; SRGM; testing effort; optimisation.
File-URL: http://www.inderscience.com/link.php?id=142375
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:3:p:423-448
Template-Type: ReDIF-Article 1.0
Author-Name: Raafat Elshaer
Author-X-Name-First: Raafat
Author-X-Name-Last: Elshaer
Title: The impact of project network topology and resource restrictions on the performance of schedule generation schemes: a comparative study
Abstract:
Parallel, and serial schedule generation schemes (SGS) are the core of most heuristic solution procedures for the resource-constrained project scheduling problem. The solution-quality of the generated schedules using the two schemes depends on the project's network topology and resource restrictions. According to the most recent publication, the network topology is measured using four indicators: serial/parallel, activity distribution, length of arcs, and topological float, whereas resource restrictions are assessed using two parameters: resource use and resource-constrainedness. The main objective is to investigate the impact of the project's network topology and resource parameters on the performance of the two schemes. A study-based generated datasets has been applied using a genetic algorithm with the two schemes. The computational results demonstrate that out of four indicators, serial/parallel has the most significant impact on distinguishing between the performance of the two SGS schemes. Moreover, resource use also impacts the discrimination between the two schemes.
Journal: Int. J. of Operational Research
Pages: 367-381
Issue: 3
Volume: 51
Year: 2024
Keywords: project network topology; resource-constrained project; schedule generation schemes; SGS.
File-URL: http://www.inderscience.com/link.php?id=142376
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:3:p:367-381
Template-Type: ReDIF-Article 1.0
Author-Name: T.B. Ravaliminoarimalalason
Author-X-Name-First: T.B.
Author-X-Name-Last: Ravaliminoarimalalason
Author-Name: M. Rakotomalala
Author-X-Name-First: M.
Author-X-Name-Last: Rakotomalala
Author-Name: F. Randimbindrainibe
Author-X-Name-First: F.
Author-X-Name-Last: Randimbindrainibe
Title: On the number of occupied resources in a system with resource sharing between service-oriented customers
Abstract:
We present analytical and generalised expressions of the numbers of occupied resources in a system providing several services to its customers. This system can be assimilated to a multi-service queue. We considered that the required numbers of resources for each service are deterministic, and then random variables number of resources is studied in second part. Analysis carried out on the resource occupations have made possible the dimensioning of the total number of necessary resources that must be deployed on the queue server. They are to serve the customers up to a certain quality of service in terms of the probability of congestion. Reported to a single-service case, we found from the analytical expressions established in this work the probability of congestion in the Fry-Molina traffic model. The results are illustrated with numerical case studies.
Journal: Int. J. of Operational Research
Pages: 406-422
Issue: 3
Volume: 51
Year: 2024
Keywords: queueing; dimensioning; multi-service; resource occupation; resource sharing.
File-URL: http://www.inderscience.com/link.php?id=142377
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:3:p:406-422
Template-Type: ReDIF-Article 1.0
Author-Name: T.B. Ravaliminoarimalalason
Author-X-Name-First: T.B.
Author-X-Name-Last: Ravaliminoarimalalason
Author-Name: M. Rakotomalala
Author-X-Name-First: M.
Author-X-Name-Last: Rakotomalala
Author-Name: F. Randimbindrainibe
Author-X-Name-First: F.
Author-X-Name-Last: Randimbindrainibe
Title: Distribution of occupied resources on a fractional resource sharing in a queueing system
Abstract:
Many server systems can share their resources by fractional way not discrete. It can be found in major cases of communication systems sharing power, spectrum or bandwidth resources for example. The objective of this work is to build analytical expressions of the amount of occupied resources in a structure modelled as queueing system. The queue server shares its resources to customers that request services to him. Both infinite and finite capacity are highlighted and the requested resources can be fractional. The amount of occupied resources as real-valued random variable is characterised by its distribution functions that we proposed in this paper. They are validated by simulations, and then can be used to predict the performances of such system or to dimension the appropriate needed capacity. Impacts of system load factor and system capacity has been also analysed.
Journal: Int. J. of Operational Research
Pages: 131-145
Issue: 1
Volume: 49
Year: 2024
Keywords: queueing; dimensioning; load factor; resource occupation; resource sharing.
File-URL: http://www.inderscience.com/link.php?id=136003
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:1:p:131-145
Template-Type: ReDIF-Article 1.0
Author-Name: Ankush Kamthane
Author-X-Name-First: Ankush
Author-X-Name-Last: Kamthane
Author-Name: Prashant Singh
Author-X-Name-First: Prashant
Author-X-Name-Last: Singh
Author-Name: Ajinkya N. Tanksale
Author-X-Name-First: Ajinkya N.
Author-X-Name-Last: Tanksale
Title: An optimisation-simulation framework for integrated inventory and cash replenishment problem of automated teller machines in India
Abstract:
This work is motivated by the problem of managing inventory and the optimal replenishment schedule for a network of automated teller machines (ATMs) in India. The objective is to minimise the occurrences of shortages at the ATMs and in turn to achieve a higher service levels while minimising the cost of holding inventory and replenishment of ATMs. The problem is casted as a rich variant of inventory routing problem with several practical restrictions such as maximum inventory at the ATMs. A two-phase iterative decomposition heuristic is proposed to efficiently solve the practical size problem instance. The computational experiments based on synthetic data are conducted to assess the efficiency and effectiveness of the proposed solution approach and a case of Varanasi city in India is presented for the analysis. The results show the effectiveness of our proposed approach over the conventional replenishment policies.
Journal: Int. J. of Operational Research
Pages: 19-46
Issue: 1
Volume: 49
Year: 2024
Keywords: automated teller machine; ATM; inventory routing problem; IRP; mixed-integer programming; heuristic; simulation.
File-URL: http://www.inderscience.com/link.php?id=136004
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:1:p:19-46
Template-Type: ReDIF-Article 1.0
Author-Name: Anju Khandelwal
Author-X-Name-First: Anju
Author-X-Name-Last: Khandelwal
Author-Name: Avanish Kumar
Author-X-Name-First: Avanish
Author-X-Name-Last: Kumar
Title: A modified method for solving the unbalanced TP
Abstract:
Most of the methods suggested for the unbalanced transportation problems in the literature are based on first adding a dummy source/destination with zero cost to make it a balance transportation problem to then obtain the basic feasible solution (BFS). The present paper suggests a modified algorithm for finding a BFS to an unbalanced transportation problem through which we get the optimum solution without adding the dummy source/destination. The method is presented in an algorithmic form and implemented on several sets of input data to test the performance and effectiveness of the algorithm. A comparison is also made with the existing approach and it is found that the suggested algorithm shows better performance.
Journal: Int. J. of Operational Research
Pages: 1-18
Issue: 1
Volume: 49
Year: 2024
Keywords: unbalanced transportation problem; UTP; Vogel's approximation method; VAM; initial basic feasible solution; IBFS; basic feasible solution; BFS; optimal cost.
File-URL: http://www.inderscience.com/link.php?id=136005
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:1:p:1-18
Template-Type: ReDIF-Article 1.0
Author-Name: Issam A.R. Moghrabi
Author-X-Name-First: Issam A.R.
Author-X-Name-Last: Moghrabi
Title: A new secant-like quasi-Newton method for unconstrained optimisation
Abstract:
The secant equation traditionally constitutes the basis of quasi-Newton methods, as the updated Hessian approximations satisfy the equation on each iteration. Modified versions of the secant relation have recently been the focus of several papers with encouraging outcomes. This paper continues with that idea where a secant-like modification that utilises nonlinear quantities in constructing the Hessian (or its inverse) approximation updates is derived. The technique takes advantage of data readily computed from the two most recent steps. Thus, it offers a substitute to the secant equation to produce better Hessian approximations that result in accelerated convergence to the objective function minimiser. The reported results provide adequate evidence to suggest that the proposed method is promising and deserves attention.
Journal: Int. J. of Operational Research
Pages: 65-84
Issue: 1
Volume: 49
Year: 2024
Keywords: quasi-Newton methods; secant-like methods; BFGS; unconstrained optimisation; multi-step methods.
File-URL: http://www.inderscience.com/link.php?id=136006
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:1:p:65-84
Template-Type: ReDIF-Article 1.0
Author-Name: Wasim F. Khan
Author-X-Name-First: Wasim F.
Author-X-Name-Last: Khan
Author-Name: Oshmita Dey
Author-X-Name-First: Oshmita
Author-X-Name-Last: Dey
Title: A fuzzy random periodic review mixture inventory model with backorder price discount
Abstract:
In this paper, a periodic review inventory model with a mixture of backorders and lost sales is developed under mixed fuzzy random environment. It is assumed that the supplier provides some price discount to control the backorder rate and gives an incentive to the customers to wait for the arrival of their orders rather than take their orders elsewhere. The annual customer demand is considered to be continuous fuzzy random variable following normal distribution. The model is analysed under three scenarios - no price discount, fixed price discount, and controllable price discount. An algorithm is presented to simultaneously determine the optimal values of the review period, the target inventory level, and the backorder price discount, so that the total annual cost is minimised. Numerical examples show that the case of controllable backorder price discount leads to the system incurring lowest operational costs.
Journal: Int. J. of Operational Research
Pages: 47-64
Issue: 1
Volume: 49
Year: 2024
Keywords: inventory; periodic review; backorder price discount; continuous fuzzy random variable; normal distribution.
File-URL: http://www.inderscience.com/link.php?id=136007
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:1:p:47-64
Template-Type: ReDIF-Article 1.0
Author-Name: G. Ayyappan
Author-X-Name-First: G.
Author-X-Name-Last: Ayyappan
Author-Name: K. Thilagavathy
Author-X-Name-First: K.
Author-X-Name-Last: Thilagavathy
Title: Analysis of MAP/PH(1), PH(2), PH(3)/1 queueing system with two modes of heterogeneous service, standby server, vacation, impatient behaviour of customers, additional service, start-up time, breakdown and phase type repairs
Abstract:
In this article, we consider a single server queue in which customers arrive according to the Markovian arrival process (MAP) and their corresponding two modes of service based on phase-type (PH) distribution. The main server may affect by breakdown while offering service whether it is any one of the modes of service or additional service immediately go for the repair process. At that moment, the service process switchover to the standby server until the main server rejuvenated from the phase-type repair. When vacation completion epoch, the main server will do the start-up process. Using the matrix-analytic method, we investigated the total number of customers in the system under steady-state probability vector. We examined the stability condition, busy period and characteristics of some performance measures of the system are discussed. Numerical results are tabulated and graphical representations are provided for a clear view of our model.
Journal: Int. J. of Operational Research
Pages: 85-130
Issue: 1
Volume: 49
Year: 2024
Keywords: PH distribution; Markovian arrival process; MAP; standby server; impatient behaviour; additional service.
File-URL: http://www.inderscience.com/link.php?id=136008
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:1:p:85-130
Template-Type: ReDIF-Article 1.0
Author-Name: Fong-Fan Wang
Author-X-Name-First: Fong-Fan
Author-X-Name-Last: Wang
Title: Redundancy optimisation for tandem production systems under queueing and availability constraints
Abstract:
Equipment selection is an important issue during the initial phases of implementing a production system. In this paper, one type of product manufactured on a production line composed of several stages with redundant and unreliable machines is studied. Assume available version of machines with respective cost and operating characteristics are available for each subsystem, the objective is to minimise the purchase cost subject to average system availability and total waiting time constraints. We propose two techniques for evaluating the studied system. Using simulation, we justify that matrix analytical method can approximate the system behaviour better than another method based on Allen-Cunneen approximation. We employ three meta-heuristics, including genetic algorithm, particle swarm optimisation and simulated annealing to optimise the system structure. We provide numerical examples for performance evaluation and comparison of the efficiency and efficacy of the proposed optimisation methods.
Journal: Int. J. of Operational Research
Pages: 265-284
Issue: 2
Volume: 49
Year: 2024
Keywords: tandem production system; redundancy optimisation; matrix analytical method; metaheuristics.
File-URL: http://www.inderscience.com/link.php?id=136549
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:2:p:265-284
Template-Type: ReDIF-Article 1.0
Author-Name: Saurabh Srivastava
Author-X-Name-First: Saurabh
Author-X-Name-Last: Srivastava
Title: An inventory model for perishables with fixed storage life and diminishing ability to buy in their life expectancy
Abstract:
In present market scenario, health-conscious customers embrace a policy to purchase a perishable product with more storage life as it is fresher and can be stored for successful time. Additionally, a large variety of goods in market influence customers to buy the most recent and quality improved items propelled by the companies. In this paper, these two relevant factors are incorporated and an optimal inventory model for the demand pattern depending on the willingness of buyers under fixed storage life has been developed. The demand process includes the willingness of customers to buy such items subject to their desired degree of satisfaction. To study such demand fluctuation, a stochastic mathematical model using the Gaussian distribution has been presented. The optimised values of parameters have been determined and the results are analysed with the help of numerical example. A sensitivity analysis for the involved parameters over optimal results is also provided.
Journal: Int. J. of Operational Research
Pages: 187-203
Issue: 2
Volume: 49
Year: 2024
Keywords: inventory; stochastic model; storage life; perishable; Gaussian distribution; willingness; life expectancy.
File-URL: http://www.inderscience.com/link.php?id=136550
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:2:p:187-203
Template-Type: ReDIF-Article 1.0
Author-Name: Narendra Kumar
Author-X-Name-First: Narendra
Author-X-Name-Last: Kumar
Author-Name: Rachna Kumari
Author-X-Name-First: Rachna
Author-X-Name-Last: Kumari
Author-Name: Dharmendra Yadav
Author-X-Name-First: Dharmendra
Author-X-Name-Last: Yadav
Title: Lot sizing model for multiple products over finite planning horizon under the effect of learning and time-value of money with cap-and-trade and carbon tax regulations: a fuzzy framework
Abstract:
This study presents a multi-item manufacturing process by assuming that the demand for different products depends on the selling price and awareness program. The manufacturer adopts a system improvement program to reduce the defective items and an investment policy on green technology to curb carbon emission. This article also explores the influence of learning on unit production time. Impreciseness in different costs is handled with fuzzy set theory. The optimal solution is obtained with the help of the classical optimisation technique. Further, obtained results indicate the advantage of carbon regulation policies as carbon tax and carbon cap and trade policy. The result also shows a significant improvement in the system's profit by considering the learning effect. The whole of the study is carried out under the impact of inflation. The developed model is investigated further with the help of a numerical example. In the end, sensitivity analysis is performed for important parameters.
Journal: Int. J. of Operational Research
Pages: 231-264
Issue: 2
Volume: 49
Year: 2024
Keywords: multi-items; learning effect; promotional activity; selling price dependent demand; imprecise costs; signed distance method; inflation; finite planning horizon.
File-URL: http://www.inderscience.com/link.php?id=136551
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:2:p:231-264
Template-Type: ReDIF-Article 1.0
Author-Name: Sima Hadadian
Author-X-Name-First: Sima
Author-X-Name-Last: Hadadian
Author-Name: Zahra Naji-Azimi
Author-X-Name-First: Zahra
Author-X-Name-Last: Naji-Azimi
Author-Name: Nasser Motahari Farimani
Author-X-Name-First: Nasser Motahari
Author-X-Name-Last: Farimani
Author-Name: Behrouz Minaei-Bidgoli
Author-X-Name-First: Behrouz
Author-X-Name-Last: Minaei-Bidgoli
Title: A new model for physician assignment based on fuzzy rules extraction from climatic factors
Abstract:
The number of patients should be predicted to meet the physicians' demands in hospitals. In this study, a new multi-objective physician assignment model was designed based on the number of the patients estimated by the climatic factors. The number of patients was predicted through multiple linear regression (MLR) and fuzzy inference system (FIS). In the FIS, the feature selection was performed by the genetic-K-nearest neighbour (k-NN) algorithm. Then, fuzzy rules were extracted using fuzzy associative classification. After predicting the number of patients, the physician assignment model was designed. The case study is a paediatric hospital with four wards. The results indicated some medical fuzzy rules based on climatic factors. In addition, RMSE and MAE, as compared with MLR in all hospital wards, had a lower value in the FIS. Finally, the advantage of the assignment model could be attributed to its sensitivity to changes in the number of the patients.
Journal: Int. J. of Operational Research
Pages: 204-230
Issue: 2
Volume: 49
Year: 2024
Keywords: multi-objective model; physician assignment; fuzzy associative classification; FAC; fuzzy inference system; FIS; genetic-K-nearest neighbour algorithm; multiple linear regression; MLR.
File-URL: http://www.inderscience.com/link.php?id=136552
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:2:p:204-230
Template-Type: ReDIF-Article 1.0
Author-Name: Raghu Nandan Giri
Author-X-Name-First: Raghu Nandan
Author-X-Name-Last: Giri
Author-Name: Shyamal Kumar Mondal
Author-X-Name-First: Shyamal Kumar
Author-X-Name-Last: Mondal
Author-Name: Manoranjan Maiti
Author-X-Name-First: Manoranjan
Author-X-Name-Last: Maiti
Title: Imperfect EPQ model for substitutable products with pollution costs under uncertain planning horizon
Abstract:
The investigation determines optimal pricing decision, greening level, production rate, and cycle length of two substitutable products in an imperfect production process over an uncertain planning horizon, which is taken as random, fuzzy, and rough for maximum profit. Here, products are manufactured and simultaneously defective items are detected during the screening process in the 'out-of-control' state at a random proportion of production rate, which are instantly reworked. The unit production cost is accounted for raw material, labour and energy, greening investment, and wear and tear costs. The carbon emission in the production process due to manufacturing, setup of the production system, and holding of items is considered in the model formulation. Also, the learning effects on the setup and maintenance and operating costs are introduced. The profit maximisation problem with some constraints is solved using a genetic algorithm with variable population and realistic suggestions for the managers are presented.
Journal: Int. J. of Operational Research
Pages: 147-170
Issue: 2
Volume: 49
Year: 2024
Keywords: economic production quantity; EPQ; substitute products; imperfect production; cap-and-trade regulation; uncertain planning horizon; learning effects.
File-URL: http://www.inderscience.com/link.php?id=136554
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:2:p:147-170
Template-Type: ReDIF-Article 1.0
Author-Name: Mohanraj Subramanian
Author-X-Name-First: Mohanraj
Author-X-Name-Last: Subramanian
Author-Name: Uthayakumar Ramasamy
Author-X-Name-First: Uthayakumar
Author-X-Name-Last: Ramasamy
Title: An EPQ model with Weibull deterioration considering warm-up period and two backordering costs
Abstract:
The main aim of an organisation is to fulfill customers demand by reducing the costs involved. In this paper we propose an economic production quantity model having four levels of production. The first and second levels of production include warm-up period and corrective maintenance period respectively. The third and fourth levels of production are regular production processes. The deterioration rate follows Weibull distribution with two parameters. Partial backordering is considered as linear and backordering cost as fixed. Total cost of production is depending upon production rate, demand rate, rate of deteriorative items and partial backordering. The primary objective is to find an optimal solution for production time which minimises the total cost by considering warm-up period and partial backordering. Finally, the numerical example and sensitivity analysis on parameters are given to validate the results of proposed model.
Journal: Int. J. of Operational Research
Pages: 171-186
Issue: 2
Volume: 49
Year: 2024
Keywords: economic production quantity; warm-up period; partial backordering; fixed backordering cost; linear backordering cost.
File-URL: http://www.inderscience.com/link.php?id=136589
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:2:p:171-186
Template-Type: ReDIF-Article 1.0
Author-Name: K. Jeganathan
Author-X-Name-First: K.
Author-X-Name-Last: Jeganathan
Author-Name: M. Nithya
Author-X-Name-First: M.
Author-X-Name-Last: Nithya
Author-Name: C. Sugapriya
Author-X-Name-First: C.
Author-X-Name-Last: Sugapriya
Author-Name: S. Selvakumar
Author-X-Name-First: S.
Author-X-Name-Last: Selvakumar
Title: Two-commodity multi-server queueing-inventory system with compliment product and classical retrial facility
Abstract:
This article explores a two-commodity stochastic queueing-inventory system (TCSQIS) along with a multi-server and a classical retrial facility. In this two-commodity, the first one is called a primary product (PP) and the second one is called a complimentary product (CP). The TCSQIS provides a multi-server service facility to an arriving customer in order to reduce the loss of arrival and increase more sales and profit. Suppose the arriving customer sees that all the servers are engaged or there are no sufficient products in the system, they go to an infinite orbit compulsorily. The customers in orbit can approach the system under classical retrial policy, whenever they confirm that the system must consist of at least one server that is free and positive stock. The stationary probability vector is obtained by the matix-geometric approach (MGA). Further, adequate examples are provided to explore the proposed model.
Journal: Int. J. of Operational Research
Pages: 63-93
Issue: 1
Volume: 50
Year: 2024
Keywords: multi-server; compliment product; infinite orbit; classical retrial policy; waiting time.
File-URL: http://www.inderscience.com/link.php?id=138142
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:1:p:63-93
Template-Type: ReDIF-Article 1.0
Author-Name: Ravendra Kumar
Author-X-Name-First: Ravendra
Author-X-Name-Last: Kumar
Author-Name: Ravish Kumar Yadav
Author-X-Name-First: Ravish Kumar
Author-X-Name-Last: Yadav
Title: Advanced payment strategy for EOQ model regarding perishable product with maximum lifetime, customer return, preservation technology and partial backlogging
Abstract:
Many products, like fruits, vegetables, etc. have a certain life that depends on the preserving conditions and also the demand of these products depends on their life. Selling price and the investment in a preservation mechanism are the most important factors in inventory management. An economic order quantity model is proposed focusing on perishable products having a certain lifetime. A preservation mechanism has been implemented to extend the product's lifetime. Two different models with or without shortages are presented here. Concavity of objective function is established using several theorems. Developed model is validated with the help of numerical examples. Sensitivity is also carried out. The results show that the retailer's profit reduces when dealing with products for which customers are more concerned about the product's lifetime. The findings also suggest that in order to increase profit, retailers should design an inventory policy that controls purchase costs and interest.
Journal: Int. J. of Operational Research
Pages: 1-34
Issue: 1
Volume: 50
Year: 2024
Keywords: advanced payment; EOQ; perishable product; customer return; preservation technology; partial backlogging.
File-URL: http://www.inderscience.com/link.php?id=138143
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:1:p:1-34
Template-Type: ReDIF-Article 1.0
Author-Name: Sharad Kumar
Author-X-Name-First: Sharad
Author-X-Name-Last: Kumar
Author-Name: Seema Agrawal
Author-X-Name-First: Seema
Author-X-Name-Last: Agrawal
Author-Name: Dharmendra Yadav
Author-X-Name-First: Dharmendra
Author-X-Name-Last: Yadav
Title: Impact of waste management and regulatory mechanism on sustainable EOQ model with controllable non-instantaneous deterioration and trade credit-and carbon-sensitive demand
Abstract:
Non-instantaneous deterioration, trade credit, waste management, carbon sensitive demand, and preservation technology all have a significant impact on inventory control policies. So, taking into cognisance of these issues, an economic order quantity model has been developed to minimise the total inventory cost by considering the preservation technology (PT) to mitigate the rate of deterioration and to increase the length of the non-deterioration period. The objective of achieving financial sustainability is accomplished by taking into account the trade credit period. Consumers are becoming more environmentally conscious. As a result, it is assumed that demand rate is a function of the trade credit period and carbon level. Shortages are allowed with partially backlogging at a constant rate. To reduce carbon emissions, two different mechanisms, namely carbon tax and carbon cap-and-trade, are used. A solution algorithm is developed to obtain an optimal solution. The findings revealed that total inventory costs are reduced efficiently due to preservation technology and trade credit. According to the findings, environmentally friendly decision-makers preferred a carbon tax mechanism over a carbon cap-and-trade system. Analysis also suggested that the trade credit period has a positive impact on the total inventory cost.
Journal: Int. J. of Operational Research
Pages: 35-62
Issue: 1
Volume: 50
Year: 2024
Keywords: waste management; trade credit; carbon tax; carbon cap-and-trade; partial backlogging.
File-URL: http://www.inderscience.com/link.php?id=138145
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:1:p:35-62
Template-Type: ReDIF-Article 1.0
Author-Name: Nacera Tahraoui
Author-X-Name-First: Nacera
Author-X-Name-Last: Tahraoui
Author-Name: Lamia Triqui-Sari
Author-X-Name-First: Lamia
Author-X-Name-Last: Triqui-Sari
Author-Name: Mohammed Bennekrouf
Author-X-Name-First: Mohammed
Author-X-Name-Last: Bennekrouf
Title: Optimisation, planning and mutualisation of chicken production in a multi-supplier, multi-period, and multi-horizon poultry network: case study
Abstract:
This study addresses the planning issue related to the broilers production in a poultry network where the major problem is the imbalance between the supply and the demand. To this fact, the produced quantity is unstable, which influences selling prices. To effectively solve this problem, we have developed a generic linear programming model in order to facilitate the decision-making in production. The formulation is motivated by a real application case of the poultry chain in the city of Tlemcen. In this context, several configurations were tested: an economic configuration determined by financial planning, and a mutual configuration promoting the service quality. Also, we have developed a mathematical model for an integrated multi-horizon approach to organise the production rotation of all breeding farms over the long-term. Promising results have increased the breeder's profit, and the service quality where all actors, breeders as well as consumers, will be in a win-win situation.
Journal: Int. J. of Operational Research
Pages: 94-126
Issue: 1
Volume: 50
Year: 2024
Keywords: production planning; broilers chicken; linear programming; cooperative planning; integrated multi-horizon optimisation; case study.
File-URL: http://www.inderscience.com/link.php?id=138146
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:1:p:94-126
Template-Type: ReDIF-Article 1.0
Author-Name: Sunil B. Bhoi
Author-X-Name-First: Sunil B.
Author-X-Name-Last: Bhoi
Author-Name: Jayesh M. Dhodiya
Author-X-Name-First: Jayesh M.
Author-X-Name-Last: Dhodiya
Title: Multi-objective faculty course timeslot assignment problem for tutorial and laboratory courses
Abstract:
This study applied a multi-objective zero-one integer programming model to resolve the university timetabling problem of assigning timeslots to faculty member for tutorial and laboratory courses. The model helps prepare an efficient and effective timetable by optimising the satisfaction levels of faculty members, administrators, and students. It ensures that no conflict occurs between tutorial and laboratory courses and their proper distribution across days and sessions. Furthermore, the model assigns all batches of the same course to one faculty member to save preparation/laboratory setup time. Appropriate scheduling allows each batch to utilise their time for self-study courses, library, and extracurricular activities. The model systematically incorporates two-hour laboratory courses in two consecutive break-free timeslots and the proper utilisation of the library and preparation for self-study courses by students. The model was applied to a technical institute using hypothetical data, and effectual and feasible schedules were generated using fuzzy programming. The solutions were obtained using LINGO 18.0 software.
Journal: Int. J. of Operational Research
Pages: 127-147
Issue: 2
Volume: 50
Year: 2024
Keywords: timetabling; university course scheduling; multi-objective programming; zero-one linear programming; fuzzy programming technique.
File-URL: http://www.inderscience.com/link.php?id=138921
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:2:p:127-147
Template-Type: ReDIF-Article 1.0
Author-Name: Zeina Mueen Mohammed
Author-X-Name-First: Zeina Mueen
Author-X-Name-Last: Mohammed
Title: Pascal's triangle graded mean defuzzification approach for solving fuzzy assignment models by using pentagonal fuzzy numbers
Abstract:
The fuzzy assignment models (FAMs) have been explored by various literature to access classical values, which are more precise in our real-life accomplishment. The novelty of this paper contributed positively to a unique application of pentagonal fuzzy numbers for the evaluation of FAMs. The new method namely Pascal's triangle graded mean (PT-GM) has presented a new algorithm in accessing the critical path to solve the assignment problems (AP) based on the fuzzy objective function of minimising total cost. The results obtained have been compared to the existing methods such as, the centroid formula (CF) and centroid formula integration (CFI). It has been demonstrated that operational efficiency of this conducted method is exquisitely developing an optimal solution (Opt. Sol.) depending on the corresponding path by the new tender algorithm.
Journal: Int. J. of Operational Research
Pages: 236-245
Issue: 2
Volume: 50
Year: 2024
Keywords: centroid formula; centroid formula integration; CFI; fuzzy assignment models; FAMs; optimal solution; Opt. Sol.; Pascal's triangle graded mean; PT-GM; pentagonal fuzzy numbers; PFNs.
File-URL: http://www.inderscience.com/link.php?id=138922
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:2:p:236-245
Template-Type: ReDIF-Article 1.0
Author-Name: Nerda Zura Zaibidi
Author-X-Name-First: Nerda Zura
Author-X-Name-Last: Zaibidi
Author-Name: Adyda Ibrahim
Author-X-Name-First: Adyda
Author-X-Name-Last: Ibrahim
Author-Name: Syuhaddah Saiddin
Author-X-Name-First: Syuhaddah
Author-X-Name-Last: Saiddin
Title: A fuzzy logic approach for housing affordability level analysis
Abstract:
The issue of house prices are either too high or unaffordable is widely discussed. The price index indicates residential units' prices continue to climb from one year to another. Consequently, the number of unsold residential units becomes high. This issue has raised concern among researchers to analyse about the affordability level among house buyers. This study aims to measure the affordability level of house buyers in Malaysia by using a fuzzy logic approach. Two inputs are being considered; house price ranges and household incomes while for the output is the affordability level. The findings show that the affordability level for the middle-income earners in Malaysia is low. This finding can help the authorised body to look carefully into this issue and find a strategic solution to overcome the problems to avoid the housing development turning into a slump.
Journal: Int. J. of Operational Research
Pages: 151-165
Issue: 2
Volume: 51
Year: 2024
Keywords: fuzzy logic; house prices; housing affordability; housing market.
File-URL: http://www.inderscience.com/link.php?id=142250
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:2:p:151-165
Template-Type: ReDIF-Article 1.0
Author-Name: Ranjan Kumar Gupta
Author-X-Name-First: Ranjan Kumar
Author-X-Name-Last: Gupta
Author-Name: Debdip Khan
Author-X-Name-First: Debdip
Author-X-Name-Last: Khan
Title: A technique to solve mixed strategy non-cooperative zero sum games with more than two players
Abstract:
In this paper, we have proposed a technique, capable of solving <i>m</i> × <i>n</i> mixed strategy zero sum games with more than two players. To the best of our knowledge, no such definite technique is available in the literature. This work shows how one <i>N</i>-persons non-cooperative zero-sum game can be represented in two-dimensional space and then can be expressed as a combination of N numbers of two persons zero sum game. Using the mixed strategies of the different players obtained from the solutions (by our developed GA) of those two persons zero sum games and taking the payoffs from the initial representation of the N-persons game, the values of the game from different player's point of view have been calculated (sum being zero). Finally, our proposed technique has been demonstrated with a few examples and sensitivity analyses have been done graphically to confirm the stability of our GA.
Journal: Int. J. of Operational Research
Pages: 385-402
Issue: 3
Volume: 49
Year: 2024
Keywords: game theory; N-persons mixed strategy game; two-dimensional representation; two persons zero sum game; genetic algorithm.
File-URL: http://www.inderscience.com/link.php?id=137131
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:3:p:385-402
Template-Type: ReDIF-Article 1.0
Author-Name: Dharmesh K. Katariya
Author-X-Name-First: Dharmesh K.
Author-X-Name-Last: Katariya
Author-Name: Kunal T. Shukla
Author-X-Name-First: Kunal T.
Author-X-Name-Last: Shukla
Title: Pricing and ordering strategy for new product and buyback strategy for used product from retailer's point
Abstract:
Today environmental spectrums are much considered while purchasing a new product because of global awareness about sustainability of environment, hence an interest for use of restored products has increased. The retailer is a decision-maker; retailer sells a new product to the consumers and collects the used sold products for reselling. In this deteriorating inventory model, the demand rate of new products is a nonlinear function and demand rate of used buyback products is linear function of selling price and time-dependent respectively. Shortages are allowed and the unsatisfied demand is partially backlogged. The objective is to maximise total profit per time unit for a retailer concerning to optimise selling price, order quantity for a new product, and quantity of used buyback products simultaneously. Global optimality is verified by Hessian matrix method and graphically. This model is explained through a numerical example, sensitivity analysis, and managerial insights. Ultimately, some concluding remarks with future scopes are discussed.
Journal: Int. J. of Operational Research
Pages: 148-169
Issue: 2
Volume: 50
Year: 2024
Keywords: inventory; used buyback product; price dependent demand; deterioration; partial backlogging.
File-URL: http://www.inderscience.com/link.php?id=138923
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:2:p:148-169
Template-Type: ReDIF-Article 1.0
Author-Name: S. Ananthu Krishna
Author-X-Name-First: S. Ananthu
Author-X-Name-Last: Krishna
Author-Name: B.S. Girish
Author-X-Name-First: B.S.
Author-X-Name-Last: Girish
Author-Name: Devendra Prakash Ghate
Author-X-Name-First: Devendra Prakash
Author-X-Name-Last: Ghate
Title: Efficient mixed-integer linear programming formulations for the satellite broadcast scheduling problem
Abstract:
Satellite broadcast scheduling problem (SBSP) is an important optimisation problem in satellite communication systems and is known to be NP-complete. The existing state-of-the-art solution methodologies for the SBSP include neural networks, evolutionary algorithms, and other heuristic approaches. This paper proposes two new mixed-integer linear programming (MILP) formulations for the problem. The performance of the proposed MILP formulations has been evaluated using benchmark problem instances and several other test instances on a commercial MILP solver. Computational results show that the proposed formulations outperform the existing approaches in terms of solution accuracy and computation time.
Journal: Int. J. of Operational Research
Pages: 233-259
Issue: 2
Volume: 51
Year: 2024
Keywords: satellite communications; satellite broadcast scheduling; NP-complete problem; mixed-integer linear programming.
File-URL: http://www.inderscience.com/link.php?id=142251
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:2:p:233-259
Template-Type: ReDIF-Article 1.0
Author-Name: Amir Karbassi Yazdi
Author-X-Name-First: Amir Karbassi
Author-X-Name-Last: Yazdi
Author-Name: Precious Okereke
Author-X-Name-First: Precious
Author-X-Name-Last: Okereke
Author-Name: Peter Fernandes Wanke
Author-X-Name-First: Peter Fernandes
Author-X-Name-Last: Wanke
Author-Name: Seyed Arash Shahr Aeini
Author-X-Name-First: Seyed Arash Shahr
Author-X-Name-Last: Aeini
Author-Name: Amir Mehdiabadi
Author-X-Name-First: Amir
Author-X-Name-Last: Mehdiabadi
Title: Credit rating ranking of Iranian banks based on CAMELS and hybrid multi-criteria decision analysis methods in uncertain environments
Abstract:
This research aims to rank Iranian banks by CAMELS and multi-criteria decision analysis (MCDA) methods in uncertain environments. Ranking banks can lead to a better understanding of how customers select them and use their services. Since there is close competition between private and government banks in Iran, the most popular rating system (CAMELS) can help customers gain a better understanding of their situation. The CAMELS method consists of a rating based on bank performance factors. For finding the best bank in Iran once the CAMELS factors are considered, banks are then ranked by the COmbined COmpromise SOlution (CoCoSo) method, which also requires the stepwise weight assessment ratio analysis (SWARA) method to be used. The environment, however, is changing, thus affecting decision makers (DMs), so using uncertainty methods such as Pythagorean fuzzy numbers (PFN) is essential, which helps DMs make better decisions. The sample population of this research is eight public banks in Iran. The result indicates the best bank based on CAMELS and MCDA methods in uncertain environments with the result also pointing out how banks with a lower performance can do benchmarking to improve their performances according to CAMELS factors.
Journal: Int. J. of Operational Research
Pages: 358-384
Issue: 3
Volume: 49
Year: 2024
Keywords: CoCoSo method; SWARA; CAMELS method; bank credit rating; Pythagorean fuzzy numbers; PFN.
File-URL: http://www.inderscience.com/link.php?id=137132
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:3:p:358-384
Template-Type: ReDIF-Article 1.0
Author-Name: Faezeh Bagheri
Author-X-Name-First: Faezeh
Author-X-Name-Last: Bagheri
Author-Name: Morteza Kazemi
Author-X-Name-First: Morteza
Author-X-Name-Last: Kazemi
Author-Name: Ardavan Asef-Vaziri
Author-X-Name-First: Ardavan
Author-X-Name-Last: Asef-Vaziri
Author-Name: Mahsa Mahdavisharif
Author-X-Name-First: Mahsa
Author-X-Name-Last: Mahdavisharif
Title: An adaptive large neighbourhood search algorithm for blocking flowshop scheduling problem with sequence-dependent setup times
Abstract:
Flowshop scheduling problem (FSP) belongs to the classical combinatorial optimisation problem and takes different forms under different production conditions. To make the general form of FSP closer to the real production environment, two assumptions, including blocking and sequence-dependent setup time, were added. The first attempt of the current research work is proposing a mathematical model according to two different viewpoints about blocking occurrence affected by sequence-dependent setup time that try to use the dead time (blocking or idle time) for setting-up the next job. Due to the complex intrinsic of combinatorial problems, achieving the exact result on a large-scale through a mathematical model is almost complicated. The second attempt is developing an adaptive large neighbourhood search algorithm to solve the problem on a large-scale which is accelerated by a new constructive heuristic algorithm. Extensive computational experiments on various size problems support the efficiency of the proposed algorithms.
Journal: Int. J. of Operational Research
Pages: 209-235
Issue: 2
Volume: 50
Year: 2024
Keywords: flowshop; blocking; sequence-dependent setup time; heuristics algorithm; adaptive large neighbourhood search algorithm; mathematical modelling.
File-URL: http://www.inderscience.com/link.php?id=138924
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:2:p:209-235
Template-Type: ReDIF-Article 1.0
Author-Name: Trevor S. Hale
Author-X-Name-First: Trevor S.
Author-X-Name-Last: Hale
Author-Name: Crystal Welker
Author-X-Name-First: Crystal
Author-X-Name-Last: Welker
Author-Name: Ryan Pepper
Author-X-Name-First: Ryan
Author-X-Name-Last: Pepper
Author-Name: Faizul Huq
Author-X-Name-First: Faizul
Author-X-Name-Last: Huq
Title: Technical note: a closed form solution to the k-centra location problem
Abstract:
This research delineates a new heuristic that solves the <i>k</i>-centra location problem on a simple distribution network. This treatise differs from most location research in that we employ a novel, graph theoretic based <i>k</i>-centra approach that seeks to find the location that minimises the sum of the distances to the k furthest existing facilities. The <i>k</i>-centra problem generalises the classic minimax and minisum location problems: If <i>k</i> = 2, the problem reduces to the centre (minimax) location problem, whereas if <i>k</i> = <i>n</i>, the problem reduces to the median (minisum) location problem. This research has direct application to the location of a distribution centre on a simple origin-to-destination distribution network to improve service levels.
Journal: Int. J. of Operational Research
Pages: 225-232
Issue: 2
Volume: 51
Year: 2024
Keywords: facility location; k-centra location; distribution network.
File-URL: http://www.inderscience.com/link.php?id=142252
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:2:p:225-232
Template-Type: ReDIF-Article 1.0
Author-Name: C.K. Sivashankari
Author-X-Name-First: C.K.
Author-X-Name-Last: Sivashankari
Author-Name: R. Valarmathi
Author-X-Name-First: R.
Author-X-Name-Last: Valarmathi
Title: Three-rates of production inventory models for deteriorating items with constant, linear and quadratic demand - comparative study
Abstract:
Three-rates of production inventory models with constant, linear and quadratic demand for deteriorative items are considered in this study. The demand models found in the literature include constant, linear, quadratic, exponential, price dependent and stock dependent among others. To wit, no study exists that uses three-rates of production inventory models with constant, linear and quadratic demands. The first model uses three-rates of production inventory model with constant demand rate for deteriorative items, the second model uses three-rates of production inventory model with linear demand for deteriorative item, and the third model uses three-rates of production inventory model with quadratic demand for deteriorative item. Mathematical models are delineated for each model and relevant examples are provided to elucidate the proposed procedure. The objective herein is to obtain optimum order quantities and order intervals concerning the overall cost. Sensitivity analysis is provided for each of the three models. The necessary data was generated using Visual Basic 6.0. Three models are developed: the variation in production rate provides a way to result in consumer's gratification and earning potential profit.
Journal: Int. J. of Operational Research
Pages: 326-357
Issue: 3
Volume: 49
Year: 2024
Keywords: constant; linear and quadratic demands; three-rates of productions; optimality; comparative study.
File-URL: http://www.inderscience.com/link.php?id=137133
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:3:p:326-357
Template-Type: ReDIF-Article 1.0
Author-Name: S. Maragathasundari
Author-X-Name-First: S.
Author-X-Name-Last: Maragathasundari
Author-Name: P. Manikandan
Author-X-Name-First: P.
Author-X-Name-Last: Manikandan
Title: Analysis on multi-service interruption in the queuing system
Abstract:
This article is about a queuing system in which the server is interrupted twice and then the repair process is carried out immediately and without delay. After the service ends, if there is no client in the system, the server can choose to take a Bernoulli vacation. In addition, consequent occurrence of interruption of the system is an inevitable feature in our daily life activities. Also, during the repair process of second type interruption, process of Reneging happens. The queuing issue is drawn closer through supplementary variable technique of queuing hypothesis and the comparing framework likelihood producing capacity of the line length and the various queue measures are determined. In addition, the queuing model is well explained by means of real-life application and processed by the way of numerical structure and graphic representation. This model means making a supervisor aware of the structural difficulties of a client-server-based framework and recognising the basic rules of investigation.
Journal: Int. J. of Operational Research
Pages: 188-208
Issue: 2
Volume: 50
Year: 2024
Keywords: web server; reneging; service interruption; repair process.
File-URL: http://www.inderscience.com/link.php?id=138925
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:2:p:188-208
Template-Type: ReDIF-Article 1.0
Author-Name: Arindam Majumder
Author-X-Name-First: Arindam
Author-X-Name-Last: Majumder
Author-Name: Dipak Laha
Author-X-Name-First: Dipak
Author-X-Name-Last: Laha
Title: An improved clustering heuristic in cellular manufacturing systems
Abstract:
This paper presents a construction heuristic in cellular manufacturing systems with the objective of maximising grouping efficacy. The proposed method is derived from three criteria, namely, Pearson correlation coefficient, the concentration of operations for a particular machine cell pair or a part family pair, and the density of operations for a particular machine-part cell comprising a machine cell and a part family. The proposed method consists of two phases. In the first phase, the machine-groups and part-families are constructed using Pearson correlation coefficient clustering technique. The second phase involves in selecting the machine-groups and part-families to build the respective machine-part cells to cluster machines and parts into the corresponding machine-groups and part families for the cellular manufacturing problem. The exhaustive computational results based on a set of different benchmark problem instances demonstrate that the proposed method is relatively superior to some well-known state-of-the-art methods.
Journal: Int. J. of Operational Research
Pages: 189-224
Issue: 2
Volume: 51
Year: 2024
Keywords: cellular manufacturing; group technology; grouping efficacy; construction heuristic; correlation coefficient; concentration of operations; density of operations; optimisation.
File-URL: http://www.inderscience.com/link.php?id=142253
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:2:p:189-224
Template-Type: ReDIF-Article 1.0
Author-Name: Farshid Esmaeili Kakhki
Author-X-Name-First: Farshid Esmaeili
Author-X-Name-Last: Kakhki
Author-Name: Zahra Naji-Azimi
Author-X-Name-First: Zahra
Author-X-Name-Last: Naji-Azimi
Author-Name: Alireza Pooya
Author-X-Name-First: Alireza
Author-X-Name-Last: Pooya
Author-Name: Ahmad Tavakoli
Author-X-Name-First: Ahmad
Author-X-Name-Last: Tavakoli
Title: A new stochastic model in emergency location problem
Abstract:
The problem of emergency location in natural disasters, especially in earthquakes, has been considered in recent decades. In this paper, we consider the demand for emergency shelters as a stochastic parameter and we propose a new hybrid approach for emergency location-allocation problem. This new approach incorporates GIS, system dynamics, Coburn and Spence model, stochastic programming and Monte Carlo simulation. The proposed hybrid model is implemented in a real example of Mashhad City. The scenarios of earthquake have been built based on the maximum speed of the important faults and the time of occurrence. By considering the seismic cycle in Mashhad City, a four year-time horizon for earthquake occurrence has been considered. The results of this hybrid model show that if the south fault of Mashhad is activated in the greatest severity, it has the highest possible casualties, in which more than 45% of the residents will lose their lives. Furthermore, 223 emergency locations have been specified for survivors. Moreover, the results indicate that the solutions of Monte Carlo simulation are improved and converged by increasing the number of scenarios.
Journal: Int. J. of Operational Research
Pages: 285-310
Issue: 3
Volume: 49
Year: 2024
Keywords: emergency location; two-stage stochastic programming; system dynamics; Monte Carlo simulation; Coburn and Spence model; GIS.
File-URL: http://www.inderscience.com/link.php?id=137134
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:3:p:285-310
Template-Type: ReDIF-Article 1.0
Author-Name: Souhail Dhouib
Author-X-Name-First: Souhail
Author-X-Name-Last: Dhouib
Title: Multi-start constructive heuristic through descriptive statistical metrics: the Dhouib-Matrix-4 metaheuristic
Abstract:
In this paper, we design and develop a new metaheuristic named Dhouib-Matrix-4 (DM4). This method is based on a multi-start structure, where in each start a diversification phase is ensured by a constructive heuristic entitled Dhouib-Matrix-TSP1 (DM-TSP1) and an intensification phase is guaranteed by a novel local search method named far-to-near (FtN). Several descriptive statistical metrics (range, mode, standard deviation, etc.) are used in the heuristic DM-TSP1 in order to explore different realisable solutions. Respectively, these realisable solutions are exploited as starting points by the FtN method using several perturbation techniques (insertion, exchange and 2opt). The performance of the proposed method DM4 is tested on the travelling salesman problem using the well-known TSP-LIB benchmark instances with integer and real distances. Experimental results demonstrate that our approach DM4 is very competitive compared to the last developed metaheuristics.
Journal: Int. J. of Operational Research
Pages: 246-265
Issue: 2
Volume: 50
Year: 2024
Keywords: operational research; combinatorial optimisation; optimisation; travelling salesman problem; TSP; metaheuristic; heuristic; Dhouib-Matrix; computer science; artificial intelligence.
File-URL: http://www.inderscience.com/link.php?id=138926
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:2:p:246-265
Template-Type: ReDIF-Article 1.0
Author-Name: Ahmad T. Al-Sultan
Author-X-Name-First: Ahmad T.
Author-X-Name-Last: Al-Sultan
Author-Name: Ahmad Alsaber
Author-X-Name-First: Ahmad
Author-X-Name-Last: Alsaber
Title: Improving passenger satisfaction at Kuwait International Airport by using multi-objective optimisation
Abstract:
Efforts to optimise the quality of services that passengers experience during the check-in process at major airport terminals are important discriminators in deciding the overall quality of the airports themselves. Improvement of passenger services during check-in involves reduction in queues and waiting times. This however, may require additional expansion projects to be undertaken by the authority. Nevertheless, such expansion projects involve conflicting ideas from multiple interest groups due to the absence of any existing efficient simulation model. This paper presents a multi-dimensional approach towards finding an optimal and feasible solution to the resource allocation problem at check-in stages in airports. The proposed methods employ optimisation techniques such as mixed integer goal programming (MIGP) and genetic algorithm (GA) to offer a comparative multi-solution outcome towards optimising the passenger quality of services at airport departure check-in. By adopting the proposed approaches, one can expect to achieve the following objectives: 1) finding an optimum allocation for airlines to different check-in zone area; 2) obtain a feasible planning to undertake decisions concerning check-in area expansion projects reaching their desired goals to improve passenger level of service under limited budget and area space.
Journal: Int. J. of Operational Research
Pages: 166-188
Issue: 2
Volume: 51
Year: 2024
Keywords: airport terminal; integer programming; simulation; mixed integer goal programming; MIGP; Kuwait.
File-URL: http://www.inderscience.com/link.php?id=142254
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:2:p:166-188
Template-Type: ReDIF-Article 1.0
Author-Name: Subhadip Sarkar
Author-X-Name-First: Subhadip
Author-X-Name-Last: Sarkar
Title: ABC classification using MCDA, DDF and TOPSIS approach
Abstract:
This paper outlines the way of classifying stocking items using multi-criteria decision analysis into A, B and C classes. A combination of directional distance function and technique for order of preference by similarity to ideal solution are suggested in this regard to select the pair of ideal points. The prescribed model argues in favour of designing two frontiers to aid in the categorisation of items with an underlying assumption of convexity. Moreover, the proposed approach has a guaranteed solution in the presence of negative data where the conventional data envelopment analysis models find difficulties in measuring the convex efficiency scores for the given set of alternatives. The two frontier approach is meant for enclosing each alternative inside the worst and best frontiers. Unlike the traditional data envelopment analysis models two convex efficiency scores are computed. Inefficiency scores deduced from these two frontiers are then used for measuring a proximity score which ultimately discriminates the items into three categories.
Journal: Int. J. of Operational Research
Pages: 170-187
Issue: 2
Volume: 50
Year: 2024
Keywords: directional distance model; TOPSIS; multi-criteria decision making; MCDM.
File-URL: http://www.inderscience.com/link.php?id=138927
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:2:p:170-187
Template-Type: ReDIF-Article 1.0
Author-Name: Vipin Kumar
Author-X-Name-First: Vipin
Author-X-Name-Last: Kumar
Author-Name: Anupama Sharma
Author-X-Name-First: Anupama
Author-X-Name-Last: Sharma
Author-Name: C.B. Gupta
Author-X-Name-First: C.B.
Author-X-Name-Last: Gupta
Title: A multi-item EOQ model for deterioration items with ramp-type demand and partial backlogging under carbon emission and inflationary environment
Abstract:
Carbon emissions contribute most in the global warming. To minimise the adverse effect of global warming on society, countries are focusing to control CO<SUB align="right"><SMALL>2</SMALL></SUB> and industries are investing in green products. All of this inclined the regulatory authorities and customers towards the environment. Thus, present study considers a novel multi-item inventory model for green products. Here, demand rate is considered as a function of initial inventory level, time, and carbon emission. This study also incorporates the carbon emissions associated with different attributes of inventory management such as procurement, purchasing, and holding inventory. Shortages are allowed and depend on the waiting time. The retailer adopts the supplier's trade credit strategy and study is carried out the inflationary environment. This model aims to optimise the total inventory cost subject to the upper cap of carbon emission. Observation based on analysis indicates some empirical observation. The sensitivity analysis concerning critical parameters showed that the optimal policy for green products is highly sensitive to the costs of shortages, and backlogging. Results indicate that incorporation of carbon issue while modelling for the green products is worthwhile for environment. Around 38% changed is observed in the inventory cost due to the change in scale parameter of demand.
Journal: Int. J. of Operational Research
Pages: 260-296
Issue: 2
Volume: 51
Year: 2024
Keywords: green products; trade credit; partial backlogging; multivariate ramp-type demand; deterioration.
File-URL: http://www.inderscience.com/link.php?id=142255
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:2:p:260-296
Template-Type: ReDIF-Article 1.0
Author-Name: Manika Sharma
Author-X-Name-First: Manika
Author-X-Name-Last: Sharma
Author-Name: Neha Gupta
Author-X-Name-First: Neha
Author-X-Name-Last: Gupta
Author-Name: Mohammad Firoz
Author-X-Name-First: Mohammad
Author-X-Name-Last: Firoz
Title: Examining interrelationship amid behavioural biases affecting investment decisions - using DEMATEL approach
Abstract:
Decision-making in choosing the investment alternative is a tough task. There are several factors that affect the investment decisions. One such factor is the behavioural biases that affect the decision of investor while making the investments. This study aims in studying the cause-and-effect relationship between the various behavioural biases. For this purpose, 11 biases have been identified through the literature review. Then, by using a prepared questionnaire on linguistic scale, data have been collected through 70 portfolio managers and decision-making trial and evaluation laboratory (DEMATEL) technique is used to find the interrelationship between these biases. Identified behavioural biases are also ranked according to the magnitude of influence that affects the investor in the decision-making process. The paper will contribute to the current literature on behavioural finance, and it will also help the portfolio managers to develop a precise strategy whereby they may select a biased free investment avenue and can design a strong portfolio for investors and can save them from making incorrect decisions which result in flawed outcomes.
Journal: Int. J. of Operational Research
Pages: 403-429
Issue: 3
Volume: 49
Year: 2024
Keywords: behavioural biases; decision-making; DEMATEL.
File-URL: http://www.inderscience.com/link.php?id=137141
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:3:p:403-429
Template-Type: ReDIF-Article 1.0
Author-Name: Ichiro Nishizaki
Author-X-Name-First: Ichiro
Author-X-Name-Last: Nishizaki
Author-Name: Tomohiro Hayashida
Author-X-Name-First: Tomohiro
Author-X-Name-Last: Hayashida
Author-Name: Shinya Sekizaki
Author-X-Name-First: Shinya
Author-X-Name-Last: Sekizaki
Author-Name: Naomichi Tani
Author-X-Name-First: Naomichi
Author-X-Name-Last: Tani
Title: Expectation and fractile models for decentralised distribution systems under demand uncertainty and their computational methods
Abstract:
In this study, we deal with the expectation and the fractile models for obtaining a Nash equilibrium point of the two-stage game for describing the competition and cooperation in decentralised distribution systems with stochastic demands, and develop computational methods. In the first stage of the equilibrium problem, each retailer independently determines the inventory level, and in the second stage for the coordination of retailers, the addition profit arising from the transshipment of the leftover inventories of all the retailers is maximised. Formulating the transshipment of the leftover inventories as a two-stage programming problem with simple recourse, we define an allocation rule based on the optimal dual solution of the transshipment problem which belongs to the core of the cooperative game. Using numerical examples, we demonstrate the effectiveness of the expectation and the fractile models, and examine the validity of their computational methods.
Journal: Int. J. of Operational Research
Pages: 446-476
Issue: 4
Volume: 50
Year: 2024
Keywords: decentralised distribution systems; equilibrium points; expectation and fractile models; two-stage games; computational methods.
File-URL: http://www.inderscience.com/link.php?id=140479
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:4:p:446-476
Template-Type: ReDIF-Article 1.0
Author-Name: Saleh Fahed Saleh Alkhatib
Author-X-Name-First: Saleh Fahed Saleh
Author-X-Name-Last: Alkhatib
Title: An advanced fuzzy approach for assessing supply chain resilience in developing economies
Abstract:
This paper aims to develop an advanced fuzzy approach to assess the supply chain resilience (SCRE) in the developing economies under high uncertainty. The new approach incorporates the fuzzy decision-making trial and evaluation laboratory (FDEMATEL), the modified fuzzy best worst method (FBWM), and fuzzy techniques to order preferences by similarity to ideal solution (FTOPSIS) in a novel way to employ their merits. A systematic literature review of the SCRE dimensions was conducted to identify main SCRE factors. The FDEMATEL method obtained the relationships among these dimensions to provide a better understanding of this system. The FBWM weights these dimensions and identify their relative importance, and finally, the SCRE level was evaluated by the FTOPSIS method. A real case of the leading non-financial companies in the Middle East and North Africa (MENA) region were investigated. The research results reveal several findings that provide useful insight for the MENA companies and academia.
Journal: Int. J. of Operational Research
Pages: 401-425
Issue: 4
Volume: 50
Year: 2024
Keywords: supply chain resilience; SCRE; MENA region; fuzzy set theory; FDEMATEL; fuzzy best worst method; FBWM; FTOPSIS.
File-URL: http://www.inderscience.com/link.php?id=140480
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:4:p:401-425
Template-Type: ReDIF-Article 1.0
Author-Name: Sayan Chandra Deb
Author-X-Name-First: Sayan Chandra
Author-X-Name-Last: Deb
Author-Name: Sahidul Islam
Author-X-Name-First: Sahidul
Author-X-Name-Last: Islam
Title: Pythagorean fuzzy goal programming: a novel approach and its application
Abstract:
The present study discusses a novel goal programming technique for solving multi-objective problems. The technique is named Pythagorean fuzzy goal programming. The improved score function of the Pythagorean fuzzy sets has been used to develop the technique. Goal programming (GP) techniques have been proven to be very useful in the field of operations research. GP techniques are used to find the best compromise solutions for a multi-objective programming problem. An example of a supplier selection model is provided where the traditional intuitionistic fuzzy GP technique fails to optimise but the proposed technique provides an optimal solution. This technique is useful for the systems where the other GP techniques fail to provide any results.
Journal: Int. J. of Operational Research
Pages: 477-489
Issue: 4
Volume: 50
Year: 2024
Keywords: Pythagorean fuzzy goal programming; goal programming; Pythagorean fuzzy sets; supplier selection model.
File-URL: http://www.inderscience.com/link.php?id=140481
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:4:p:477-489
Template-Type: ReDIF-Article 1.0
Author-Name: Raghavendra Kumar
Author-X-Name-First: Raghavendra
Author-X-Name-Last: Kumar
Author-Name: Pardeep Kumar
Author-X-Name-First: Pardeep
Author-X-Name-Last: Kumar
Author-Name: Yugal Kumar
Author-X-Name-First: Yugal
Author-X-Name-Last: Kumar
Title: Addressing stock market time series trends and volatility using optimised DE-LSTM model
Abstract:
Accurate time series prediction is the most challenging trend for research communities in the machine learning era. Stock market data is the most dynamic and volatile time series data that holds the world economy. Recent studies proposed various core and hybrid machine learning models to get accurate stock forecasting. Existing work put forward long short-term memory (LSTM) to implement sequential time series data. In this paper, a new nonlinear hybrid model is proposed using customised LSTM and differential evolution (DE) algorithms. DE brings the optimisation of selection of parameters and provides stability between complexity and learning performance of the hybrid model. The paper explores the forecasting accuracy of the stock market trends and volatility using hybrid model DE-LSTM. The proposed hybrid model obtained significant improvement as MAE, RMSE and MAPE are 0.21167, 2.48198 and 2.68331 respectively, practiced for a diversified portfolio of Bombay Stock Exchange, India (BSE30).
Journal: Int. J. of Operational Research
Pages: 426-445
Issue: 4
Volume: 50
Year: 2024
Keywords: stock market trends; volatility; time series data; long short-term memory; LSTM; differential evolution; DE.
File-URL: http://www.inderscience.com/link.php?id=140482
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:4:p:426-445
Template-Type: ReDIF-Article 1.0
Author-Name: Harliza Hanif
Author-X-Name-First: Harliza
Author-X-Name-Last: Hanif
Author-Name: Daud Mohamad
Author-X-Name-First: Daud
Author-X-Name-Last: Mohamad
Author-Name: Rosma Mohd Dom
Author-X-Name-First: Rosma Mohd
Author-X-Name-Last: Dom
Title: A simplified multi-granular linguistic term sets method
Abstract:
The multi-granular concept involves many parts of a complex system or model. Since the late 1990s, many researchers have started to incorporate multi-granular concepts in their research areas. This paper focuses on the use of multi-granular linguistic (MGL) term sets in the decision-making method. The use of the MGL method in decision-making may impose a high level of complexity since it offers flexibility to the decision-maker. The flexibility given is by determining the output of the cardinality. Complexity in a method may impose disadvantages in terms of, for example, inaccuracy of outcomes, loss of information, and time consumption. Hence, a simplified multi-granular linguistic term sets (SMM) method is proposed with a lower complexity level to overcome the disadvantages of complexity. This was achieved by introducing a parallel process of cardinality (PPC) into the simplified multi-granular linguistic term sets method (SMM). After proposing the simplified multi-granular linguistic term sets method, the complexity level of this method is compared with other methods based on the relative complexity index (RCI).
Journal: Int. J. of Operational Research
Pages: 539-558
Issue: 4
Volume: 49
Year: 2024
Keywords: cardinality; multi-granular; parallel-process; simplified.
File-URL: http://www.inderscience.com/link.php?id=137923
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:4:p:539-558
Template-Type: ReDIF-Article 1.0
Author-Name: Arian Nahangi
Author-X-Name-First: Arian
Author-X-Name-Last: Nahangi
Author-Name: Mohamed Awwad
Author-X-Name-First: Mohamed
Author-X-Name-Last: Awwad
Title: A tabu search heuristic for the outsourcing risk management problem in multi-echelon supply chains
Abstract:
Globalisation has made supply chains more vulnerable to risk factors, increasing the associated costs of outsourcing goods. This paper considers a multi-echelon supply chain model with global and domestic raw material suppliers, manufacturing plants, warehouses, and markets. The problem is formulated as a mixed-integer linear programming model. Due to the NP-hard nature of the problem, a tabu search heuristic is proposed to solve small, medium, and large problem instances. A quadratic multi-regression analysis is used to analyse the performance of the proposed tabu search heuristic. The statistical analysis shows that increasing the number of iterations and neighbours will increase run time and reduce total supply chain cost. The proposed tabu search heuristic proved to provide an efficient solution, including large problem instances, in a timely manner.
Journal: Int. J. of Operational Research
Pages: 490-520
Issue: 4
Volume: 50
Year: 2024
Keywords: multi-echelon supply chain; risk management; outsourcing; tabu search; multi-regression.
File-URL: http://www.inderscience.com/link.php?id=140483
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:4:p:490-520
Template-Type: ReDIF-Article 1.0
Author-Name: Ajoy Hatibaruah
Author-X-Name-First: Ajoy
Author-X-Name-Last: Hatibaruah
Author-Name: Sumit Saha
Author-X-Name-First: Sumit
Author-X-Name-Last: Saha
Title: An inventory system using preservation technology investment for ameliorating and deteriorating items with ramp-type demand dependent on price and time and partial backlogging
Abstract:
This article describes an inventory model developed for ameliorating items considering ramp type demand dependent on price and time with partially backlogged shortages. Ameliorating items such as livestock are raised in the farm when their size and quantity are small. The quantity and size of these items increase due to their high growth rate. However, their quantity may decrease due to certain diseases or death. Amelioration rate is described by Weibull distribution. Preservation technology is adopted to reduce the deterioration effect. Ramp type demand results in two possible cases, for which two different models were developed. Our goal is to estimate optimal preservation technology cost, selling price and the time at which maximum inventory and shortage occurs while total cost is minimised. Some numerical examples for two different cases are solved. Impact of the parameters on optimal solution is analysed through sensitivity analysis while the results obtained are discussed accordingly.
Journal: Int. J. of Operational Research
Pages: 431-470
Issue: 4
Volume: 49
Year: 2024
Keywords: inventory? amelioration? deterioration? price and ramp-type time dependent demand? preservation technology investment? partial backlogging.
File-URL: http://www.inderscience.com/link.php?id=137924
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:4:p:431-470
Template-Type: ReDIF-Article 1.0
Author-Name: Ramin Rostamkhani
Author-X-Name-First: Ramin
Author-X-Name-Last: Rostamkhani
Author-Name: Mohammad Hossein Karimi Gavareshki
Author-X-Name-First: Mohammad Hossein Karimi
Author-X-Name-Last: Gavareshki
Author-Name: Morteza Abbasi
Author-X-Name-First: Morteza
Author-X-Name-Last: Abbasi
Author-Name: Mahdi Karbasian
Author-X-Name-First: Mahdi
Author-X-Name-Last: Karbasian
Title: Operational research application to minimise the uncertainty of time and cost in the main domains of industrial engineering by using quality engineering techniques
Abstract:
The present research attempts to introduce an operational research model to minimise the uncertainty of time and cost in the main domains of industrial engineering (IE) by using quality engineering techniques (QET). The research approach is based on three processes. The first process reviews QET among the most important IEF. The second process relates to the influential factors. The third process concentrates on the operational research model by applying the fuzzy multi-objective linear programming. A numerical application for the third process is explained. The assessment results are endorsed by the management representatives' views in the organisation. The first innovative aspect of the research is the combination of QET and IE in the operational research model to save time and cost within the organisation. The second novelty of the current study is the use of quantum mechanics perspectives for the time concept in the long-term.
Journal: Int. J. of Operational Research
Pages: 521-551
Issue: 4
Volume: 50
Year: 2024
Keywords: uncertainty; industrial engineering; quality engineering techniques; QET; multi-objective linear programming.
File-URL: http://www.inderscience.com/link.php?id=140484
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:4:p:521-551
Template-Type: ReDIF-Article 1.0
Author-Name: Mona Avand
Author-X-Name-First: Mona
Author-X-Name-Last: Avand
Author-Name: Saeid Ghobadi
Author-X-Name-First: Saeid
Author-X-Name-Last: Ghobadi
Title: Restructuring of units under inter-temporal dependence: method and application
Abstract:
This paper deals with the generalised restructuring decision making units under inter-temporal dependence data. An important issue for generalised restructuring of a set of decision making units is the estimation of the input and output levels inherited from pre-restructuring decision making units between post-restructuring decision making units to achieve full dynamically efficiency levels. This issue, the input and output-estimation for achieving efficiency targets, is investigated via the inverse data envelopment analysis concept. An effective method is provided that allows managers to incorporate their preference in targets setting of a restructuring for saving/producing specific input/output levels in each time period of the assessment window as much as possible. Sufficient conditions are derived for input and output estimation using multiple-objective programming problems. The applicability of the proposed method is illustrated through a banking sector example.
Journal: Int. J. of Operational Research
Pages: 503-538
Issue: 4
Volume: 49
Year: 2024
Keywords: data envelopment analysis; DEA; inverse DEA; generalised restructuring; inter-temporal dependence; multiple-objective programming; MOP.
File-URL: http://www.inderscience.com/link.php?id=137925
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:4:p:503-538
Template-Type: ReDIF-Article 1.0
Author-Name: Parimah Zandi
Author-X-Name-First: Parimah
Author-X-Name-Last: Zandi
Author-Name: Heibatolah Sadeghi
Author-X-Name-First: Heibatolah
Author-X-Name-Last: Sadeghi
Author-Name: Hiwa Farughi
Author-X-Name-First: Hiwa
Author-X-Name-Last: Farughi
Title: Investigation of production systems for two-level supply planning with breakdown and lead times uncertainties
Abstract:
This paper investigates the supply planning of two-level and multi-period inventory control with stochastic lead time and random machine breakdown. Due to the probability of lead time, the actual lead time may be longer than the planned time in each production cycle, which will delay the delivery of the final product to the final customer. And it is also possible that the final product will be ready to be delivered to the customer sooner than the specified time, in which case the product is maintained and delivered to the customer at the specified time, which imposes additional maintenance cost on the production system. Also, due to the random machine breakdown, the machine may break during production or outside the production cycle. Demand for the final product and the policy of supplying demand is considered as periodic order quantity. The purpose of the problem is to determine the planned lead time and time interval between production orders based on periodic order quantity policy and uses the genetic algorithm to minimise the total system costs. Finally, a numerical example is explained, based on which the main parameters of the proposed model are analysed.
Journal: Int. J. of Operational Research
Pages: 559-581
Issue: 4
Volume: 49
Year: 2024
Keywords: planned lead time; stochastic lead time; order quantity policy; maintenance.
File-URL: http://www.inderscience.com/link.php?id=137926
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:4:p:559-581
Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Saeid Erfannejad
Author-X-Name-First: Mohammad Saeid
Author-X-Name-Last: Erfannejad
Author-Name: Ali Paydar
Author-X-Name-First: Ali
Author-X-Name-Last: Paydar
Author-Name: Salman Safavi
Author-X-Name-First: Salman
Author-X-Name-Last: Safavi
Title: Optimal route selection model in freight transport with customer collection approach using genetic and fuzzy algorithms
Abstract:
In this research, a vehicle routing problem model is presented by considering fuzzy capacity, where vehicles must collect goods from various customers and return them to the central building via the shortest route possible. Since customers inaccurately declare space needed for freight transport and the size of cargo being collected is not clear, hence proving it necessary to use fuzzy logic in modelling the vehicle routing problem. Therefore, after generalising the vehicle routing problem to the fuzzy model and considering the two parameters of remaining capacity and occupied capacity, the details of a framework based on the metaheuristic genetic optimisation algorithm is introduced to solve this optimisation problem. According to the results from ten scenarios where the vehicle problem is obtained through this research via Matlab software, it could be concluded that solutions from the genetic algorithms with crossover and mutation operations are always converged with fuzzy constraints for the vehicle routing problem.
Journal: Int. J. of Operational Research
Pages: 471-502
Issue: 4
Volume: 49
Year: 2024
Keywords: optimal route; genetic algorithms; freight transport; fuzzy; customer.
File-URL: http://www.inderscience.com/link.php?id=137932
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:4:p:471-502
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
Title: Introducing new optimal class of Searls estimators of population mean using powered auxiliary parameters
Abstract:
The sample mean, in addition to being the most appropriate estimator of mean of the population characteristic, has a significant sampling variance. According to Searls (1964), a constant multiple of the sample mean is a better estimator of the population mean. The use of a strongly correlated auxiliary variable often improves the estimator's performance. This article proposes a novel family of ratio estimators of the vernal Searls type that use known powered auxiliary parameters for the population mean. The proposed estimator's sampling properties are investigated up to the first order of approximation. The efficiency conditions are obtained by comparing the mean squared errors (MSE) of the introduced and competing estimators. These efficiency conditions are validated using both real and simulated datasets. The R programming is used to perform the numerical computation.
Journal: Int. J. of Operational Research
Pages: 311-325
Issue: 3
Volume: 49
Year: 2024
Keywords: study variable; auxiliary variable; simple random sampling; bias; mean squared errors; MSE; PRE.
File-URL: http://www.inderscience.com/link.php?id=137182
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:49:y:2024:i:3:p:311-325
Template-Type: ReDIF-Article 1.0
Author-Name: Anil Kumar Agrawal
Author-X-Name-First: Anil Kumar
Author-X-Name-Last: Agrawal
Author-Name: Susheel Yadav
Author-X-Name-First: Susheel
Author-X-Name-Last: Yadav
Author-Name: Amit Ambar Gupta
Author-X-Name-First: Amit Ambar
Author-X-Name-Last: Gupta
Author-Name: Shubhendu Pandey
Author-X-Name-First: Shubhendu
Author-X-Name-Last: Pandey
Title: Examination and class timetabling problem: a case study of an Indian university
Abstract:
Timetabling problem is basically an optimisation problem and is a subset of scheduling problems. A timetabling problem is a problem where events (classes, examination and student) have to be ordered in time slots while satisfying some basic constraints. Here the basic aim is to satisfy various constraints, such as, no student can be scheduled for more than one course at the same time and the maximum number of students that can be scheduled to any particular class must not exceed the sitting capacity of the class. So, the timetabling problem is basically arranging the given set of values (class, subject and students) in such a manner such that the resulting schedule should fulfil all the above stated hard constraints and try to give more close values near to the soft constraints (such as proper distribution of classes over available slots). In the present work, examination timetable and class timetable problems have been considered with several practical features. The problems are formulated as mathematical models and heuristic approach is also proposed to solve them. The heuristic uses the basic framework of genetic algorithm.
Journal: Int. J. of Operational Research
Pages: 291-315
Issue: 3
Volume: 50
Year: 2024
Keywords: timetabling; soft constraints; heuristics; genetic algorithm; mathematical modelling.
File-URL: http://www.inderscience.com/link.php?id=139234
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:3:p:291-315
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 chains created in response to government policy changes in Nebraska
Abstract:
The US Government applied its policy-making power to mitigate the negative impact of COVID-19 on integrated bioethanol-gasoline supply chains (IBGSCs). In order to study the IBGSCs which evolve in response to change of policies, Ghahremanlou and Kubiak (2021) developed an algorithm, referred to as extended lean model (ELM). In this paper, we apply the ELM to real-life data for the State of Nebraska and solve 21,420 alternative policy scenarios to optimality to investigate and compare IBGSCs created due to the changes in policies. The case study shows that minimum tariffs for blending US and non-US bioethanol with gasoline needs to be 0.531 and 0.35
<span class="fraction">
<span class="fup" style="font-size: 8pt;"> $ </span>
<span class="bar"">/</span>
<span class="fdn" style="font-size: 8pt;"> gal</span></span> respectively to permit the government to shift bioethanol production in order to meet demand for ethanol used for producing sanitisers to avert COVID-19 from spreading. Finally, we provide a number of policy recommendations and directions for further research.
Journal: Int. J. of Operational Research
Pages: 267-290
Issue: 3
Volume: 50
Year: 2024
Keywords: COVID-19; oil war; supply chain management; operations management; stochastic programming; location allocation; government policies; sustainability.
File-URL: http://www.inderscience.com/link.php?id=139235
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:3:p:267-290
Template-Type: ReDIF-Article 1.0
Author-Name: Yousra Bouleft
Author-X-Name-First: Yousra
Author-X-Name-Last: Bouleft
Author-Name: Ahmed Elhilali Alaoui
Author-X-Name-First: Ahmed Elhilali
Author-X-Name-Last: Alaoui
Title: Modelling and simulation of multi-compartment vehicle routing problems to transport different types of solid waste
Abstract:
The waste management problem is an important sign of development in every city in the world. In this work, we introduce a new scheme that divides the entire waste management system into three levels: 1) transfer separated solid waste from different sources to the compartmentalised transfer station, each compartment accommodating one or more supplies of the same type of waste; 2) transport the separated solid waste from the transfer station to the treatment plants, each plant belonging to a specific specialty via a compartmentalised fleet; 3) transfer the waste produced from the treatment plants to the nearest landfill. In this context, we present mathematical formulations of the waste management system using linear programs. Since the problem is NP-hard, we adapt a genetic algorithm to solve the second level. Numerical experiments show that after adapting our proposed approach, we get high-quality solutions to collect and transport a large quantity every day.
Journal: Int. J. of Operational Research
Pages: 364-399
Issue: 3
Volume: 50
Year: 2024
Keywords: multi-compartment vehicle routing problems; solid waste management system; separated solid waste transport; genetic algorithm.
File-URL: http://www.inderscience.com/link.php?id=139237
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:50:y:2024:i:3:p:364-399
Template-Type: ReDIF-Article 1.0
Author-Name: Yun-Chia Liang
Author-X-Name-First: Yun-Chia
Author-X-Name-Last: Liang
Author-Name: Vanny Minanda
Author-X-Name-First: Vanny
Author-X-Name-Last: Minanda
Author-Name: Aldy Gunawan
Author-X-Name-First: Aldy
Author-X-Name-Last: Gunawan
Author-Name: Hsiang-Ling Chen
Author-X-Name-First: Hsiang-Ling
Author-X-Name-Last: Chen
Title: Metaheuristics for time-dependent vehicle routing problem with time windows
Abstract:
Vehicle routing problem (VRP), a combinatorial problem, deals with the vehicle's capacity visiting a particular set of nodes while its variants attempt to fit real-world scenarios. Our study aims to minimise total travelling time, total distance, and the number of vehicles under time-dependent and time windows constraints (TDVRPTW). The harmony search algorithm (HSA) focuses on the harmony memory and pitch adjustment mechanism for new solution construction. Several local search operators and a roulette wheel for the performance improvement were verified via 56 Solomon's VRP instances by adding a speed matrix. The performance comparison with a genetic algorithm (GA) was completed with the same number of parameters and ran in the same computer specification to justify its performance. The results show that HSA can outperform the GA in some instances. The research outcomes suggest that HSA can solve TDVRPTW with comparable results to other commonly used metaheuristic approaches.
Journal: Int. J. of Operational Research
Pages: 449-468
Issue: 4
Volume: 51
Year: 2024
Keywords: vehicle routing problem; VRP; time window; harmony search algorithm; HSA; genetic algorithm; metaheuristic.
File-URL: http://www.inderscience.com/link.php?id=143338
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:4:p:449-468
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: A conditional value-at-risk approach to studying the sustainable crude oil supply chains evolved due to change in government policies
Abstract:
Recently US oil and bioethanol industries have faced drastic economic damage due to the 2020 Saudi Arabia-Russia oil price war and coronavirus disease (COVID-19), resulting in many bankruptcies. Government policies have brought these two main industries together to ensure sustainable crude oil supply chains, to combat global warming and energy insecurity. This motivated us to extend the study of Ghahremanlou and Kubiak (2021a) to protect the current and new SCOSCs against financial risks during economic crises by providing insights for the government and the investors, working to rescue the industries. We employ conditional value-at-risk, and develop a two-stage stochastic programming model. We perform a case study of the State of Nebraska by carrying out a computational experiment with 10,710 different policy scenarios. We recommend robust strategic investment decisions to businesses during policy changes within economic crises. We also identify resilient strategic investment decisions.
Journal: Int. J. of Operational Research
Pages: 537-561
Issue: 4
Volume: 51
Year: 2024
Keywords: COVID-19; conditional value-at-risk; CVaR; government policies; economic crises; sustainable crude oil supply chain; two-stage stochastic programming.
File-URL: http://www.inderscience.com/link.php?id=143339
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:4:p:537-561
Template-Type: ReDIF-Article 1.0
Author-Name: Richi Singh
Author-X-Name-First: Richi
Author-X-Name-Last: Singh
Author-Name: Ashok Kumar
Author-X-Name-First: Ashok
Author-X-Name-Last: Kumar
Author-Name: Dharmendra Yadav
Author-X-Name-First: Dharmendra
Author-X-Name-Last: Yadav
Title: A fuzzy economic order quantity model for multiple stage supply chain with fully backlogged shortages derived without derivatives under the effect of human learning
Abstract:
In industries, inventory managers face major difficulties in inventory planning when the available information fluctuates abruptly or is unclear. This ambiguity can be treated appropriately by using fuzzy sets. Moreover, human learning is effective in reducing the level of fuzziness over the infinite horizon. In the present study, a fuzzy three-stage (buyer-distributor-vendor) EOQ model is developed. In this model, all the cost parameters are taken as fuzzy parameters. Shortages are allowed but fully backlogged at the buyer end. The novelty of the paper lies in deriving the fuzzy model by using the arithmetic-geometric inequality method and proposing four theorems based on optimal frequency for vendor and distributor, along with incorporating the concept of learning in fuzziness. Some numerical examples are taken to demonstrate the model in a better way. Also, a comparison among the results of this paper, and other papers are done with the help of an example, which shows that the present model better represents the practical financial situations. At last, sensitivity analysis concerning all parameters and managerial insights are presented to justify the significance of the model.
Journal: Int. J. of Operational Research
Pages: 491-536
Issue: 4
Volume: 51
Year: 2024
Keywords: supply chain; arithmetic geometric inequality; fuzzy costs; learning; backlogging.
File-URL: http://www.inderscience.com/link.php?id=143340
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:4:p:491-536
Template-Type: ReDIF-Article 1.0
Author-Name: Agnivesh Tiwari
Author-X-Name-First: Agnivesh
Author-X-Name-Last: Tiwari
Author-Name: Kabir Chaudhary
Author-X-Name-First: Kabir
Author-X-Name-Last: Chaudhary
Author-Name: Rahul Boadh
Author-X-Name-First: Rahul
Author-X-Name-Last: Boadh
Author-Name: Yogendra Kumar Rajoria
Author-X-Name-First: Yogendra Kumar
Author-X-Name-Last: Rajoria
Title: Comparative study of maximisation assignment model by existing method and newly proposed methods
Abstract:
One of the simplest uses of linear programming is known as the assignment problem, which is a special case of the transportation problem. The assignment problem manages the inquiry about to dole out <i>n</i>-items to <i>m</i>-different items in the most ideal way for production planning, telecommunication, VLSI design, economics, etc. Many researchers developed newly proposed methods for solving assignment problems and others modified the Hungarian method. Therefore, in the present study, an effort has been made to solve the real-life balance and unbalance type profit maximisation assignment problem used by ten newly proposed methods such as MAP, MSEI, ATOC, NAZs and six others methods, and compared results with Hungarian method. This study found that Method 8 takes the least time for computation of both type problems as compared with other methods. This paper advocates that new researchers and scientists may use the newly proposed Method 8 in place of the existing method.
Journal: Int. J. of Operational Research
Pages: 469-490
Issue: 4
Volume: 51
Year: 2024
Keywords: assignment problem; Hungarian method; optimal solution; profit maximisation.
File-URL: http://www.inderscience.com/link.php?id=143341
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:4:p:469-490
Template-Type: ReDIF-Article 1.0
Author-Name: Ashok Kumar Shaw
Author-X-Name-First: Ashok Kumar
Author-X-Name-Last: Shaw
Author-Name: Mostafijur Rahaman
Author-X-Name-First: Mostafijur
Author-X-Name-Last: Rahaman
Author-Name: Sankar Prasad Mondal
Author-X-Name-First: Sankar Prasad
Author-X-Name-Last: Mondal
Author-Name: Banashree Chatterjee
Author-X-Name-First: Banashree
Author-X-Name-Last: Chatterjee
Author-Name: Shariful Alam
Author-X-Name-First: Shariful
Author-X-Name-Last: Alam
Title: Solution of a mining equipment maintenance system model in imprecise environment
Abstract:
In this paper, a mining equipment maintenance system is depicted by a mathematical model described in terms of a pair of differential equations. The impreciseness involved in a real-life situation is accounted in this paper letting the initial condition and associated parameters to be imprecise in nature. Two most popular mathematical knowledge dealing with the sense of uncertainty, namely the fuzzy and interval environments are utilised here to analyse and solve the proposed model under uncertainty. The solutions of the uncertain differential equations (both interval and fuzzy) corresponding to the model are getting inspired by the generalised Hukuhara derivative of a set valued function. Different crispification techniques of converting the fuzzy and interval solutions into their crisp representatives are manifested to compute and compare the score of feasible decisions under uncertainty.
Journal: Int. J. of Operational Research
Pages: 562-598
Issue: 4
Volume: 51
Year: 2024
Keywords: mining equipment maintenance problem; generalised Hukuhara derivative; fuzzy differential equation; FDE; interval differential equation; removal area method; mean of centre method.
File-URL: http://www.inderscience.com/link.php?id=143342
File-Format: text/html
File-Restriction: Access to full text is restricted to subscribers.
Handle: RePEc:ids:ijores:v:51:y:2024:i:4:p:562-598