Template-Type: ReDIF-Article 1.0
Author-Name: Alok Kumar Sharma
Author-X-Name-First: Alok Kumar
Author-X-Name-Last: Sharma
Author-Name: Li-Hua Li
Author-X-Name-First: Li-Hua
Author-X-Name-Last: Li
Author-Name: Bhartrihari Pandiya
Author-X-Name-First: Bhartrihari
Author-X-Name-Last: Pandiya
Author-Name: Ashish Dwivedi
Author-X-Name-First: Ashish
Author-X-Name-Last: Dwivedi
Title: Identifying the implementation of neural network approaches in peer-to-peer lending research: a bibliometric-based thematic approach
Abstract:
Peer-to-peer (P2P) lending market has exploded in popularity since the last decade. The proliferation of data has given opportunities to prediction models, such as neural network (NN), to analyse and forecast risk assessment. The objective of this research is to explore the intersection of NN models in P2P lending and identify future trends for NN in this field. A systematic literature review (SLR) was conducted using the PRISMA model and bibliometric analysis, which included network and thematic investigation approaches for the NN in P2P lending research published over the last decade. The study analysed the key trends in select research domains, identifying four themes: predictive analysis, financial risk, convolutional neural networks, and P2P networks. The research also identified citation networks with four clusters: investor behaviour, borrower behaviour, classification models for credit scoring, and borrower default prediction. Further, analysis was performed on the most cited documents, emphasising the research methods, models, and datasets used in the articles.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 153-179
Issue: 2
Volume: 48
Year: 2024
Keywords: neural networks; decision analytics; bibliometric analysis; P2P lending; credit risk assessment.
File-URL: http://www.inderscience.com/link.php?id=141591
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:2:p:153-179

Template-Type: ReDIF-Article 1.0
Author-Name: Shiqiang Zhang
Author-X-Name-First: Shiqiang
Author-X-Name-Last: Zhang
Author-Name: Zidong Liu
Author-X-Name-First: Zidong
Author-X-Name-Last: Liu
Author-Name: Dongya Zhao
Author-X-Name-First: Dongya
Author-X-Name-Last: Zhao
Title: Decentralised control of heterogeneous interconnected systems with asynchronous sampling
Abstract:
In this paper, the asynchronous sampling control problem for linear heterogeneous interconnected systems has been investigated. By utilising the Lyapunov-Krasovskii approach and robust control theory, some sufficient conditions based on linear matrix inequalities (LMIs) are presented such that the stability and performance of closed-loop system can be guaranteed. On the basis of these conditions, a novel decentralised algorithm based on relaxation and successive distributed decomposition (RSDD) method is proposed to calculate the state feedback gains over the systems, which significantly reduces the computational complexity. The effectiveness of the proposed schemes are verified via some simulations.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 180-197
Issue: 2
Volume: 48
Year: 2024
Keywords: heterogeneous interconnected systems; asynchronous sampling; computational complexity.
File-URL: http://www.inderscience.com/link.php?id=141592
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:2:p:180-197

Template-Type: ReDIF-Article 1.0
Author-Name: Swati V. Narwane
Author-X-Name-First: Swati V.
Author-X-Name-Last: Narwane
Author-Name: Irfan Siddavatam
Author-X-Name-First: Irfan
Author-X-Name-Last: Siddavatam
Author-Name: Mahesh S. Kavre
Author-X-Name-First: Mahesh S.
Author-X-Name-Last: Kavre
Title: Determinants of blockchain-machine learning adoption in additive manufacturing
Abstract:
This work concentrates on determining, inspecting, as well as ranking the critical barriers and alternatives to help the adoption of BC-ML practices in additive manufacturing (ADM). AHP-VIKOR methodology was applied to examine 20 identified barriers within the BC-ML adoption in ADM. The findings of the study reveal the rankings of the significant barriers as well as alternatives aimed at the trouble-free adoption of BC-ML practices in the ADM industry. 'Higher build time' and 'complicated design process of blockchain-based platforms' emerge as the most critical barriers, with a higher value of weights by using the AHP approach. The outcome of the alternative evaluation shows that the 'vat polymerisation' process ranks at the topmost position. The findings of this study can be useful to practitioners and policymakers to develop proper understanding, alleviation approaches, and make well-informed decisions.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 198-227
Issue: 2
Volume: 48
Year: 2024
Keywords: machine learning; additive manufacturing; ADM; blockchain; vlekriterijumsko kompromisno rangiranje; VIKOR; analytical hierarchy process; AHP; implementation barriers.
File-URL: http://www.inderscience.com/link.php?id=141593
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:2:p:198-227

Template-Type: ReDIF-Article 1.0
Author-Name: Ruyi Fan
Author-X-Name-First: Ruyi
Author-X-Name-Last: Fan
Author-Name: Junmin Yi
Author-X-Name-First: Junmin
Author-X-Name-Last: Yi
Title: A logistics planning model for dual tank-containers combined-transport network
Abstract:
A combined-transport network model with dual tank-containers of IBC and ISO Tank by both trucking and waterborne is created to optimise the route planning and resource allocation of the dual tank-containers, which cares the cost of refilling liquid from Tank to IBC, refilling facility cost and inventory limit on the water-land transfer nodes. Also, the transport service level of the model is monitored by proportional transportation fulfilment and vehicle loading rate. The instance results and sensitivity analysis show that the model has optimal transportation cost, more proportional and robust network planning. Thus, it is a good reference for managers to design a more suitable dual tank-container combined-transport network planning according to the real logistics situation and actual needs.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 259-275
Issue: 2
Volume: 48
Year: 2024
Keywords: transport; tank-container; logistics planning; sensitivity analysis.
File-URL: http://www.inderscience.com/link.php?id=141595
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:2:p:259-275

Template-Type: ReDIF-Article 1.0
Author-Name: Seleman Kalinga Hussein
Author-X-Name-First: Seleman Kalinga
Author-X-Name-Last: Hussein
Author-Name: Ismail W.R. Taifa
Author-X-Name-First: Ismail W.R.
Author-X-Name-Last: Taifa
Title: Six Sigma methodology implementation for minimising yarn breakages in the apparel industry
Abstract:
This research applied the Six Sigma methodology (SSM), mainly the define-measure-analyse-improve-control (DMAIC) approach to minimise the yarn breakages in the weaving loom during the woven fabric manufacturing. The product rejects were 512,000 metres, and the production quantities were 13,273,512 metres of fabrics. The calculated sigma level was 4.84, and the cost of poor quality (COPQ) was 14.36%. After the improving and control phases, the company implemented the solutions for four months, thus leading to a COPQ of 7.18%. The potential solutions include the effective performance of the weaving preparatory process, analysis of material parameters and yarn unevenness testing, and improving the adequate weaving loom's atmospheric condition. Other recommendations include regular machine maintenance, installation of stretch control devices on warping machines and tension control device (tensiometer) on a sizing machine, proper weaving machine setting and providing technical skills to operators and quality control staff about weaving production and quality management techniques.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 228-258
Issue: 2
Volume: 48
Year: 2024
Keywords: Six Sigma; SS; Six Sigma methodology; SSM; DPMO; DMAIC; cost of poor quality; COPQ; yarn breakage minimisation; weaving loom; fabric weaving; apparel industry.
File-URL: http://www.inderscience.com/link.php?id=141596
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:2:p:228-258

Template-Type: ReDIF-Article 1.0
Author-Name: Alakshendra Joshi
Author-X-Name-First: Alakshendra
Author-X-Name-Last: Joshi
Author-Name: Eduardo Pérez
Author-X-Name-First: Eduardo
Author-X-Name-Last: Pérez
Author-Name: Francis A. Méndez-Mediavilla
Author-X-Name-First: Francis A.
Author-X-Name-Last: Méndez-Mediavilla
Title: An empirical analysis of forecasting methods for trauma injuries in rural areas - a case study
Abstract:
Trauma is an essential aspect that must be considered by governing bodies when providing and expanding healthcare services across their jurisdiction. This study focuses on analysing and forecasting physical trauma sustained from accidents, in environments both personal and work related, pertaining to individual injuries but not excluding the scope of large-scale natural disasters. The goal of the study is to better understand the limitations faced by the existing trauma healthcare infrastructure by forecasting the expected number of people requiring the services of trauma facilities in rural areas. Five types of forecasting methods were analysed to determine the best option to utilise for forecasting for individual datasets. Out of these models, ARIMA proved to be the best performing method for a significant majority of the individual datasets.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 276-300
Issue: 2
Volume: 48
Year: 2024
Keywords: trauma; time series forecasting; patients; facilities; autoregressive integrated moving averages; ARIMA.
File-URL: http://www.inderscience.com/link.php?id=141597
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:2:p:276-300

Template-Type: ReDIF-Article 1.0
Author-Name: Parames Chutima
Author-X-Name-First: Parames
Author-X-Name-Last: Chutima
Author-Name: Chayanee Prakong
Author-X-Name-First: Chayanee
Author-X-Name-Last: Prakong
Title: In-house part supply logistics optimisation based on the workforce's ergonomic strain and environmental considerations
Abstract:
This paper focused on in-house part supply logistics adopted by an automotive manufacturer to make just-in-time deliveries of parts from a supermarket to mixed-model serpentine-shaped assembly lines without shortage. Five objectives are optimised simultaneously, i.e., minimising the total number of tours, minimising the number of tow train drivers, minimising the energy expenditure load discrepancy among tow train drivers, minimising the total inventory kept at the border of the line and minimising the total PM2.5 emission released by a fleet of tow trains. The mathematical model is formulated for the problem. Due to its NP-hard in nature, multi-objective metaheuristics have to be developed for solving practical-sized problem instances. As a result, the non-dominated sorting teaching-learning-based optimisation III (NSTLBO III) which is a hybrid of the non-dominated sorting genetic algorithm III (NSGA III) and teaching-learning-based optimisation (TLBO) is proposed to solve the problem. The results show that NSTLBO III outperforms NSGA III and the multi-objective evolutionary algorithm based on decomposition (MOEA/D) in terms of qualitative, convergence-related and comprehensive metrics.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 271-310
Issue: 3
Volume: 47
Year: 2024
Keywords: part feeding; automotive industry; multi-objective optimisation; NSGA III; TLBO.
File-URL: http://www.inderscience.com/link.php?id=139553
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:3:p:271-310

Template-Type: ReDIF-Article 1.0
Author-Name: Xiao Xu
Author-X-Name-First: Xiao
Author-X-Name-Last: Xu
Author-Name: Hwan-Seong Kim
Author-X-Name-First: Hwan-Seong
Author-X-Name-Last: Kim
Author-Name: Truong Ngoc Cuong
Author-X-Name-First: Truong Ngoc
Author-X-Name-Last: Cuong
Author-Name: Sam-Sang You
Author-X-Name-First: Sam-Sang
Author-X-Name-Last: You
Title: Active stabilisation of seaports co-evolution system for port throughput with time delay
Abstract:
This paper aims to investigate co-evolution dynamics with decision-making policy for seaport throughput subjected to the time-delayed interactions. To explore interaction relationships among seaports, dynamical behaviours of co-evolution system are demonstrated using Lotka-Volterra model. Due to the time delay of interactions, the co-evolution dynamics exhibits strong fluctuations and undesirable behaviours leading to system instabilities. Adaptive fractional order sliding mode control is implemented to achieve robust stabilisation of the nonlinear co-evolution system with time delay under disturbances. The numerical simulations are presented to validate the effectiveness of the proposed control algorithm. This study systematically explains how time delays in the supply chains affect seaport co-evolution behaviours for cargo throughput and how they can be actively managed by decision-making strategy. The results reveal that the proposed methodology can provide a resilience strategy under market uncertainty. Finally, conclusions are made regarding the manageable side of the time-delay problems.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 457-474
Issue: 4
Volume: 46
Year: 2024
Keywords: seaport co-evolution; port throughput; time-delay; Lotka-Volterra model; adaptive fractional order sliding mode.
File-URL: http://www.inderscience.com/link.php?id=138022
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:4:p:457-474

Template-Type: ReDIF-Article 1.0
Author-Name: Austin R. Kost
Author-X-Name-First: Austin R.
Author-X-Name-Last: Kost
Author-Name: Hector A. Vergara
Author-X-Name-First: Hector A.
Author-X-Name-Last: Vergara
Author-Name: J. David Porter
Author-X-Name-First: J. David
Author-X-Name-Last: Porter
Title: A quantitative analysis of simultaneous supply and demand disruptions on a multi-echelon supply chain
Abstract:
This research aimed to uncover how different features of simultaneous supply and demand disruptions impact the performance of a multi-echelon supply chain. A discrete event simulation model was developed in ARENA and a full factorial designed experiment was conducted to understand how different disruption characteristics affect key supply chain performance metrics. Historical data was obtained for a four-echelon supply chain owned by a single company using the guaranteed service model inventory policy. Results showed that the severity of a demand disruption had considerable impact on performance during the disruption period. Furthermore, disruptions that occurred further upstream in the supply chain were more likely to translate into a decrease in overall performance in the post-disruption period when compared to disruptions located elsewhere. It was also found that additional inventory can be expected to accumulate at a disrupted node which, in turn, could translate into inventory reductions immediately upstream of the disrupted node.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 556-583
Issue: 4
Volume: 46
Year: 2024
Keywords: discrete event simulation; guaranteed service model; GSM; supply chain disruption; SCD; mitigation strategies; multi-echelon supply chain.
File-URL: http://www.inderscience.com/link.php?id=138023
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:4:p:556-583

Template-Type: ReDIF-Article 1.0
Author-Name: Ziyad Bahou
Author-X-Name-First: Ziyad
Author-X-Name-Last: Bahou
Author-Name: Issam Krimi
Author-X-Name-First: Issam
Author-X-Name-Last: Krimi
Author-Name: Abdessamad Ait El Cadi
Author-X-Name-First: Abdessamad Ait El
Author-X-Name-Last: Cadi
Author-Name: Nizar El Hachemi
Author-X-Name-First: Nizar El
Author-X-Name-Last: Hachemi
Title: Integrating non-cyclical preventive maintenance scheduling and production planning for a series-parallel production line with stochastic dependence
Abstract:
This paper investigates the integrated non-cyclical preventive maintenance scheduling and production planning for a series-parallel production line. We consider the stochastic dependence between the components of each subsystem. This problem has not been studied so far in the literature even though it represents a realistic configuration. First, we compute the available production capacity restricted by the stochastic dependence. Then, an integer linear program is used to determine the optimal production plan and preventive maintenance schedule. The results show that ignoring the stochastic dependence effect causes many unexpected consequences and additional production and maintenance costs. This work provides practitioners with a set of managerial insights to develop adequate integrated production and maintenance policies.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 354-381
Issue: 3
Volume: 47
Year: 2024
Keywords: production planning; maintenance scheduling; integer programming; series-parallel production; stochastic dependence.
File-URL: http://www.inderscience.com/link.php?id=139559
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:3:p:354-381

Template-Type: ReDIF-Article 1.0
Author-Name: Misbah Anjum
Author-X-Name-First: Misbah
Author-X-Name-Last: Anjum
Author-Name: A.H.S. Garmabaki
Author-X-Name-First: A.H.S.
Author-X-Name-Last: Garmabaki
Author-Name: P.K. Kapur
Author-X-Name-First: P.K.
Author-X-Name-Last: Kapur
Author-Name: Sunil Kumar Khatri
Author-X-Name-First: Sunil Kumar
Author-X-Name-Last: Khatri
Author-Name: Vernika Agarwal
Author-X-Name-First: Vernika
Author-X-Name-Last: Agarwal
Title: A framework for optimal patch release time using G-DEMATEL and multi-attribute utility theory
Abstract:
The primary focus of the present work is to determine the optimal vulnerability patch release time using multi-attribute utility theory (MAUT) by considering two objectives that are cost minimisation and reliability maximisation. The novelty of the study lies in multi-phased research methodology for identifying the attributes affecting the software patch release time through a combination of literature review and the grey-Delphi approach for guiding the optimisation process. The literature has directly considered the weights of the attributes without emphasising their interrelationships, which is overcome by the use of the DEMATEL methodology under the grey environment in the current study for the evaluation of weights of selected attributes. The implications of the study will help in achieving the sustainable development goals pertaining to innovation and infrastructure. A numerical example is used to demonstrate the relevance of the optimisation problem.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 531-555
Issue: 4
Volume: 46
Year: 2024
Keywords: vulnerabilities; patch release; multi-attribute utility theory; MAUT; reliability; cost; sustainable development goals; SDGs.
File-URL: http://www.inderscience.com/link.php?id=138024
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:4:p:531-555

Template-Type: ReDIF-Article 1.0
Author-Name: In-Ju Kim
Author-X-Name-First: In-Ju
Author-X-Name-Last: Kim
Title: Ergonomic assessment for work-related musculoskeletal disorders: a case study on office workers in two government organisations in the United Arab Emirates
Abstract:
This study investigated the pervasiveness of work-related musculoskeletal disorders (WMSDs) amongst office workers from two government organisations (A and B) in the United Arab Emirates. The primary data were collected by self-administrative questionnaire (SAQ), Nordic musculoskeletal survey, and ergonomic assessments with the Rapid Office Strain Assessment (ROSA) checklists. The SAQ survey from organisation A showed that the respondents' most common pain was the neck (80.00%), whilst organisation B was lower back (78.57%). According to the ROSA results, 86.49% of the respondents in organisation B required ergonomic investigations, whilst 61.76% in organisation A worked under the risk warning regions.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 334-353
Issue: 3
Volume: 47
Year: 2024
Keywords: ergonomic assessment; musculoskeletal disorders; MSDs; Rapid Office Strain Assessment; ROSA; work-related musculoskeletal disorders; WMSD; office workers; United Arab Emirates; UAE.
File-URL: http://www.inderscience.com/link.php?id=139560
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:3:p:334-353

Template-Type: ReDIF-Article 1.0
Author-Name: A. Ramachandra Rao
Author-X-Name-First: A. Ramachandra
Author-X-Name-Last: Rao
Author-Name: P.S. Tide
Author-X-Name-First: P.S.
Author-X-Name-Last: Tide
Author-Name: Benny K. George
Author-X-Name-First: Benny K.
Author-X-Name-Last: George
Author-Name: A.R. Ajith Prasad
Author-X-Name-First: A.R. Ajith
Author-X-Name-Last: Prasad
Author-Name: Jojo Mathew
Author-X-Name-First: Jojo
Author-X-Name-Last: Mathew
Title: Optimisation of reactive precipitation for processing reject brine in ammonium perchlorate manufacture
Abstract:
Ammonium perchlorate (AP) is the most widely used oxidiser for solid rocket propellant formulations. AP manufacture generates a reject brine with 7-8% perchlorates by weight. An optimisation study of reactive precipitation for transforming reject brine into an admixture of AP with ammonium chloride and sodium bicarbonate was conducted at 0.3 m<SUP align="right"><SMALL>3</SMALL></SUP>/batch capacity. The operating conditions play a crucial role in the kinetics of reactive precipitation. Taguchi design and statistical ANOVA were applied to estimate significant operating conditions and their contributions to process performances. The study reveals the potential impact of mixing, type of impeller configuration, and temperature on the process efficiency. A regression model was developed to predict process performances and Taguchi optimum conditions used for getting desirable performances. Subsequently, a multi-response optimiser was applied to find out a set of operating conditions for improving process performance. Experimental validation trials and characterisation were conducted with modified operating parameters and results show considerable improvement in process efficiency.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 382-403
Issue: 3
Volume: 47
Year: 2024
Keywords: Taguchi design; ammonium perchlorate; sodium bicarbonate; reactive precipitation; reject brine; optimisation; mixing; regression analysis.
File-URL: http://www.inderscience.com/link.php?id=139561
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:3:p:382-403

Template-Type: ReDIF-Article 1.0
Author-Name: Imane Zahri
Author-X-Name-First: Imane
Author-X-Name-Last: Zahri
Author-Name: Mohamed Rhazzaf
Author-X-Name-First: Mohamed
Author-X-Name-Last: Rhazzaf
Author-Name: Souhail Sekkat
Author-X-Name-First: Souhail
Author-X-Name-Last: Sekkat
Author-Name: Mohammed Douimi
Author-X-Name-First: Mohammed
Author-X-Name-Last: Douimi
Title: Product to process: an ontology-based approach for product manufacturing process in flexible manufacturing system
Abstract:
Given the importance and gain of acquiring flexibility and interoperability, the reconfigurability of manufacturing systems remains an active subject of industry research. We propose, in this paper, an ontology-based model for the product's process for a flexible manufacturing system. This model avoids the technical difficulties related to the product manufacturing design and offers a conversion of the product manufacturing process semantic description to its technical implementation inside the manufacturing system. The ontology is based primarily on the components of the production system and the product life cycle process. We have tested our approach in a flexible cell case study to have the new product manufacturing process using a depth first search-based algorithm applied to the proposed ontology.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 475-494
Issue: 4
Volume: 47
Year: 2024
Keywords: product lifecycle management; PLM; new product development; NPD; reconfigurability; ontology; depth first search; DFS; Semantic Web; flexible manufacturing system; FMS.
File-URL: http://www.inderscience.com/link.php?id=140329
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:4:p:475-494

Template-Type: ReDIF-Article 1.0
Author-Name: Ye Li
Author-X-Name-First: Ye
Author-X-Name-Last: Li
Author-Name: Ning Wang
Author-X-Name-First: Ning
Author-X-Name-Last: Wang
Author-Name: Kun Xu
Author-X-Name-First: Kun
Author-X-Name-Last: Xu
Title: Modified ant colony algorithm for job shop scheduling problem
Abstract:
In this work, we proposed a modified ant colony algorithm (ACA) for job shop scheduling problem (JSSP) with make-span, and constraints such as machine selection, time lags, and holding times, process, and sequence are taken into account. The two-stage setup of the pheromone update mechanism allows for a combination of local and global pheromone updates. In the first stage, the pheromone is updated locally for each completed process, and after the set iteration conditions have been met, the second stage is entered. To overcome the initial reliance on pheromones in the ACA, the pheromones are initialised using a genetic algorithm (GA). The optimal convergence ratio is obtained through the design of a genetic operator based on the procedure principle to accelerate the convergence effect of the whole algorithm and improve the global searching ability of ACA. Taking an engine company as an example, several simulation experiments are carried out for GA, ACA, and modified ant colony algorithm (MACA) based on the standard dataset to verify the effectiveness of proposed algorithms.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 475-508
Issue: 4
Volume: 46
Year: 2024
Keywords: job shop scheduling problem; JSSP; ant colony algorithm; ACA; genetic algorithm; modified ant colony algorithm; MACA; optimal convergence ratio.
File-URL: http://www.inderscience.com/link.php?id=138026
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:4:p:475-508

Template-Type: ReDIF-Article 1.0
Author-Name: Nandani Singh
Author-X-Name-First: Nandani
Author-X-Name-Last: Singh
Author-Name: Vinod Yadava
Author-X-Name-First: Vinod
Author-X-Name-Last: Yadava
Author-Name: Pragya Shandilya
Author-X-Name-First: Pragya
Author-X-Name-Last: Shandilya
Title: Experimental modelling and multi-objective optimisation of electrochemical discharge peripheral surface grinding process during machining of alumina epoxy nanocomposites
Abstract:
Machining electrically non-conductive materials is still a very challenging task. So far, electrochemical discharge machining (ECDM) and its configurations, such as drilling-ECDM, TW-ECDM, and milling-ECDM, have been developed for machining such materials. Hence, an in-depth experimental analysis of grinding-ECDM is also required. In the present work, the mathematical models have been formulated using response surface methodology based on Box-Behnken design on the peripheral surface configuration of grinding-ECDM (electrochemical discharge peripheral surface grinding process). Experiments were carried out on alumina-reinforcement epoxy nanocomposites considering supply voltage, pulse on-time, electrolyte concentration, and wheel rotation as input process parameters and MRR and R<SUB align="right"><SMALL>a</SMALL></SUB> as output performance parameters. The multi-objective optimisation has been done using desirability function analysis (DFA) and grey relational analysis (GRA). The input process parametric conditions obtained from both optimisation methods are different. It has been found that DFA shows slightly better results than GRA for both MRR and R<SUB align="right"><SMALL>a</SMALL></SUB>.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 404-420
Issue: 3
Volume: 47
Year: 2024
Keywords: desirability function analysis; DFA; ECDM; ECDPSG; Grey relational analysis; GRA; grinding; multi-objective optimisation; polymer nanocomposite; PSN; response surface methodology; RSM.
File-URL: http://www.inderscience.com/link.php?id=139562
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:3:p:404-420

Template-Type: ReDIF-Article 1.0
Author-Name: Amjad Khalili
Author-X-Name-First: Amjad
Author-X-Name-Last: Khalili
Title: An empirical investigation of lean manufacturing dimensions through structural equation modelling
Abstract:
This paper aims to recognise lean manufacturing (LM) two dimensions namely soft (SLM) and hard lean (HLM). It empirically examines the linkages between these perspectives and contributes to operations management literature by focusing on the aspects managers attempt to embrace in their industries. It censoriously examines these practices as scarce research discussed these together. Besides, the importance of their adoption is reflected and relevant key factors introduced. To achieve this, a conceptual model is established and its applicability explored. The postulated hypothesis is further tested through data gathered from Palestinian industries through the developed questionnaire and both SPSS 23 and AMOS 23 are considered for analysis. Findings imply that both can be found together and their linkages are supported. Manufacturers may apply these models to establish a better implementation environment in their manufacturing facilities using the appropriate integrated LM frameworks.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 452-474
Issue: 4
Volume: 47
Year: 2024
Keywords: soft lean; hard lean; importance; model; applicability; AMOS 23.
File-URL: http://www.inderscience.com/link.php?id=140330
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:4:p:452-474

Template-Type: ReDIF-Article 1.0
Author-Name: Tatiana Balbi Fraga
Author-X-Name-First: Tatiana Balbi
Author-X-Name-Last: Fraga
Author-Name: Aldênia Karla Barrêto Candido
Author-X-Name-First: Aldênia Karla Barrêto
Author-X-Name-Last: Candido
Author-Name: Marcos Luiz Henrique
Author-X-Name-First: Marcos Luiz
Author-X-Name-Last: Henrique
Author-Name: Abdeladhim Tahimi
Author-X-Name-First: Abdeladhim
Author-X-Name-Last: Tahimi
Title: Elaboration of water distribution schedules in periods of scarcity
Abstract:
Scarcity of treated water is a global problem that directly impacts the quality of life and, therefore, brings to light the need for more careful management of water resources in locations that are affected. Although there is a vast literature on the problem of design and operation of treated water distribution networks, few studies consider the issue of scarcity. In the present paper, we carry out a study on the real water distribution problem of a city located in Northeastern Brazil. In this study, we conceptually and mathematically model the problem addressed as a new specific water distribution optimisation problem, and implement the model developed using LINGO software from LINDO systems. We conclude the study showing that the developed solver is a practical, effective and efficient tool, which can be easily used by a suitably qualified employee.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 495-517
Issue: 4
Volume: 47
Year: 2024
Keywords: mathematical modelling; water distribution schedules; water distribution system; WDS; water scarcity; LINGO.
File-URL: http://www.inderscience.com/link.php?id=140331
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:4:p:495-517

Template-Type: ReDIF-Article 1.0
Author-Name: Syed Imran Zaman
Author-X-Name-First: Syed Imran
Author-X-Name-Last: Zaman
Author-Name: Md. Ramjan Ali
Author-X-Name-First: Md. Ramjan
Author-X-Name-Last: Ali
Author-Name: Sharfuddin Ahmed Khan
Author-X-Name-First: Sharfuddin Ahmed
Author-X-Name-Last: Khan
Title: Just-in-time and supply chain finance: a hierarchal model development
Abstract:
This study aims to investigate whether or not just-in-time (JIT) and supply chain finance (SCF) have a synergistic impact on overall organisation performance. The purpose of this study is to help address this knowledge gap and shed light on the role that JIT tools plays in optimising the benefits that SCF offers to an organisation as a whole. Interpretive structural modelling (ISM) and decision making trial and evaluation laboratory (DEMATEL) has been used to explore relationship, contextual link and hierarchical interpretation between JIT and SCF characteristics. Results shows that, the variables with the highest rankings in ISM and DEMATEL are <i>employee attitude, embeddedness of continuity practice</i>, and <i>changing level and position of inventory maintained by businesses</i>. Integration of JIT and SCF will help organisations to increase in revenues, a reduction in waste, an improvement in cash flow, and a reduction in supply chain hazards.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 518-556
Issue: 4
Volume: 47
Year: 2024
Keywords: supply chain finance; SCF; just-in-time; organisational performance; interpretive structural modelling; ISM; DEMATE; FMCG industry.
File-URL: http://www.inderscience.com/link.php?id=140332
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:4:p:518-556

Template-Type: ReDIF-Article 1.0
Author-Name: Mingyue Yu
Author-X-Name-First: Mingyue
Author-X-Name-Last: Yu
Author-Name: Jinghan Zhang
Author-X-Name-First: Jinghan
Author-X-Name-Last: Zhang
Author-Name: Liqiu Liu
Author-X-Name-First: Liqiu
Author-X-Name-Last: Liu
Title: Rub-impact fault identification based on EMD and stochastic resonance
Abstract:
An approach combining empirical mode decomposition (EMD) and adaptive stochastic resonance (SR) has been brought forward to make effective identification of rub-impact fault. Firstly, vibration signals were decomposed by EMD to obtain intrinsic modal function (IMF). Secondly, concerning about the different sensibility of IMFs to fault characteristic information, two signal evaluation indexes, margin factor and information entropy, have been brought in to choose the sensitive IMFs from the wear degree and uncertainty of signal, which can embody fault characteristic information better and make signal reconstruction. Thirdly, to further strengthen the characteristic information of fault, information entropy was chosen as fitness function of artificial fish swarm algorithm (AFSA) to optimise the parameter of adaptive SR and give SR treatment to reconstructed signals. Finally, according to the frequency spectrum of signal after SR, rub-impact fault is identified. The result indicates that the proposed method can correctly identify rub-impact faults.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 509-530
Issue: 4
Volume: 46
Year: 2024
Keywords: stochastic resonance; rub-impact fault; information entropy; margin factor; feature extraction.
File-URL: http://www.inderscience.com/link.php?id=138029
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:4:p:509-530

Template-Type: ReDIF-Article 1.0
Author-Name: Mahmoud Awad
Author-X-Name-First: Mahmoud
Author-X-Name-Last: Awad
Author-Name: Yassir Shanshal
Author-X-Name-First: Yassir
Author-X-Name-Last: Shanshal
Title: Comparative study of risk management in new product development
Abstract:
New product development (NPD) is a volatile and challenging process carrying many uncertainties resulting in great amount of risk. The aim of this article is to identify critical risk factors contributing to NPD project success and to identify any major differences between different industries in terms of these critical risk factors. Such objectives will enable decision-makers in NPD projects to plan and mitigate risks accordingly. An online survey targeting NPD programs stakeholders is utilised to investigate the association of more than 24 risk factors and project success/failure. Results suggest that success of a project is strongly associated with requirement definition, risk management, and verification and validation process. Moreover, there is evidence that different industries share some common risk factors and differ in terms of importance/rankings of these factors. Finally, results suggest significant statistical difference between auto and oil and gas industries in terms of missed and mismanaged risks.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 433-456
Issue: 4
Volume: 46
Year: 2024
Keywords: risk management; new product development; NDP; product cycle development plan.
File-URL: http://www.inderscience.com/link.php?id=138031
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:4:p:433-456

Template-Type: ReDIF-Article 1.0
Author-Name: Boppana V. Chowdary
Author-X-Name-First: Boppana V.
Author-X-Name-Last: Chowdary
Author-Name: Stefan Harrison
Author-X-Name-First: Stefan
Author-X-Name-Last: Harrison
Title: Lean practices: assessing the relationship among manufacturing and service firms
Abstract:
The paper seeks to identify relationships among firms in the manufacturing and service organisations with respect to the selection of lean practices. Bibliometric analysis was applied to data from 91 lean case studies and statistical analysis conducted to assess trends in the selection of lean practices. Articles were limited to English-Language journals, conference papers and non-profit as well as government reports. Critical insights included the holistic nature of applying lean practices, the importance of lean accounting, continuous flow and work simplification to service operations and the lack of significant differences in lean practice application between job shops and service operations. Firms categorised as mass production were 27% as likely as service operations to select continuous flow, 20% as likely for work simplification and 26% as likely to select design for Six Sigma. The study could not show any significant differences in lean practice selection among job shops and service operations.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 421-451
Issue: 4
Volume: 47
Year: 2024
Keywords: job shops; mass production; service operations; lean practices.
File-URL: http://www.inderscience.com/link.php?id=140340
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:4:p:421-451

Template-Type: ReDIF-Article 1.0
Author-Name: Kejia Chen
Author-X-Name-First: Kejia
Author-X-Name-Last: Chen
Author-Name: Xiaoqing Guo
Author-X-Name-First: Xiaoqing
Author-X-Name-Last: Guo
Author-Name: Haiyan Wang
Author-X-Name-First: Haiyan
Author-X-Name-Last: Wang
Title: Multi-objective collaborative slot secondary allocation model with curfew restriction
Abstract:
The paper explores the flight recovery problem of flight delay and violation of airport curfew due to the decline of airport capacity under the collaborative decision making. A multi-objective collaborative slot secondary allocation model is proposed to minimise the total delay cost of airlines and the total delay time of passengers. Three multi-objective decision-making (MODM) techniques are introduced, and the displaced ideal solution (DIS) method is used to select the optimal solution technique. The results show that the weighting method (WM) can generate high-quality solutions in the test data set. Finally, combined with the delayed flight data of an airport, LINGO software is used to solve the model, the sensitivity and the complexity is analysed. The results show that the collaborative scheduling strategy proposed in this paper can provide airlines with scientific and reasonable slot secondary allocation scheme under the condition of limited airport capacity.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 311-333
Issue: 3
Volume: 47
Year: 2024
Keywords: flight recovery; airport curfew; slot secondary allocation; multi-objective programming.
File-URL: http://www.inderscience.com/link.php?id=139596
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:3:p:311-333

Template-Type: ReDIF-Article 1.0
Author-Name: Niguss Haregot Hatsey
Author-X-Name-First: Niguss Haregot
Author-X-Name-Last: Hatsey
Author-Name: Amanuel Amare Gebrekidan
Author-X-Name-First: Amanuel Amare
Author-X-Name-Last: Gebrekidan
Title: Failure function matrix for interconnected equipment failure analysis
Abstract:
Failure is an inevitable phenomenon, therefore, it is essential to develop state-of-the-art failure analysis tools that are able to deal with it. Even though there are several failure analysis tools, they lack the ability to analyse the failure interdependence in a complex system. In this study, a new failure function matrix (FFM) is proposed to analyse the cause, effect, and solution of equipment by considering both the internal and external interdependencies. An empirical study is conducted on the electrical infrastructure failure of Raya Azebo Ground water, Ethiopia. The study revealed that there is failure interdependency among devices interconnected in a complex system. The FFM can be applied to analyse failure of various infrastructures at a system level rather than a specific piece of equipment. This study contributes a novel FFM tool that is able to analyse comprehensively overall failure function (cause, effect, and solution) and to analyse failure from end-to-end at a system level by considering the failure interdependency among interconnected equipment.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 321-337
Issue: 3
Volume: 48
Year: 2024
Keywords: equipment failure; failure analysis; interconnected equipment; complex system.
File-URL: http://www.inderscience.com/link.php?id=142678
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:3:p:321-337

Template-Type: ReDIF-Article 1.0
Author-Name: Samarth Singh
Author-X-Name-First: Samarth
Author-X-Name-Last: Singh
Title: Electric two-wheelers: the future of short hauls
Abstract:
This article looks at the elements, which impact individuals' decisions to acquire electric two-wheelers. It also evaluates the many aspects of electric two-wheelers that customers like before making a purchase. An online poll was used to gather primary data. A total of 204 answers were collected and regression analysis was performed using SPSS version 22.0. This article shows that the general public is willing to switch to electronic vehicles as a daily commute if their value increases. India, as a potential market, offers large markets for electronic vehicles to cater to clients ready to use electric two-wheelers as a daily commute, resulting in a win-win situation for all parties involved. This study is unique as it assesses customers' impressions of electric two-wheelers as a daily commute, which is backed up by robust empirical evidence acquired through primary data collection and the new road ahead in the coming time.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 338-349
Issue: 3
Volume: 48
Year: 2024
Keywords: electric two-wheelers; customer perception; features; buying action/behaviour; regression.
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:3:p:338-349

Template-Type: ReDIF-Article 1.0
Author-Name: Youhong Liao
Author-X-Name-First: Youhong
Author-X-Name-Last: Liao
Author-Name: Sifan Tu
Author-X-Name-First: Sifan
Author-X-Name-Last: Tu
Author-Name: Yongzhong Wu
Author-X-Name-First: Yongzhong
Author-X-Name-Last: Wu
Title: Evaluating impacts of anchorages re-provisioning scheme on mega port operations: simulation approach
Abstract:
Anchorages play important parts in both vessels waiting for berth and cargo handling at sea. As a kind of public marine resource, anchorages often need to be reallocated for different reasons including land reclamation. The usage of the anchorage area is considered to be a complex queuing system. Therefore, building a simulation model to evaluate the impacts of the reallocated anchorages is a relatively practicable and accurate method. This article explores the impacts of the reduced anchorages in Hong Kong's Central Water due to land reclamation project, by establishing a simulation model. The analysis of the model helps to evaluate the impacts and suggest on the anchorage re-provisioning scheme. Relative simulation models and methods provide a scientific basis for the analysis, design, and planning of anchorages in other ports.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 301-320
Issue: 3
Volume: 48
Year: 2024
Keywords: simulation; port operations; anchorage capacity; service management; queuing system.
File-URL: http://www.inderscience.com/link.php?id=142680
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:3:p:301-320

Template-Type: ReDIF-Article 1.0
Author-Name: Ajit R. Laware
Author-X-Name-First: Ajit R.
Author-X-Name-Last: Laware
Author-Name: Sanjay B. Joshi
Author-X-Name-First: Sanjay B.
Author-X-Name-Last: Joshi
Author-Name: Vitthal S. Bandal
Author-X-Name-First: Vitthal S.
Author-X-Name-Last: Bandal
Author-Name: Dhananjay B. Talange
Author-X-Name-First: Dhananjay B.
Author-X-Name-Last: Talange
Title: Design and experimental validation of normal terminal sliding mode control for level tank system
Abstract:
The paper explores the design of a normal terminal sliding mode controller (normal TSMC) for a nonlinear uncertain laboratory level tank system. The reachability condition of closed-loop system has been deduced from direct Lyapunov candidate function. The proposed design method has been compared with proportional, integral and derivative (PID) controller and typical sliding mode control (SMC). Normal TSMC and classical SMC are verified by using simulation as well as real-time experimentation while PID controller has been validated via experimental tests. The simulation and experimental result investigates that normal TSMC algorithm is more superior than PID and SMC strategies for estimated plant parameters, switching the set-point from one level to the other and internal, and external disturbances. It explores the better improvement in time-domain specifications such as response speed, settling time, overshoot in percentage, rise time and error performance indices.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 405-418
Issue: 3
Volume: 48
Year: 2024
Keywords: level tank system; normal terminal sliding mode control; proportional; integral and derivative controller; real-time experimentation.
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:3:p:405-418

Template-Type: ReDIF-Article 1.0
Author-Name: Yongzhong Wu
Author-X-Name-First: Yongzhong
Author-X-Name-Last: Wu
Author-Name: Zhijie Zhu
Author-X-Name-First: Zhijie
Author-X-Name-Last: Zhu
Author-Name: Yan Li
Author-X-Name-First: Yan
Author-X-Name-Last: Li
Title: Impacts of logistics models and freight subsidy on the possibility of consumers using cross-border e-commerce platform
Abstract:
The cross-border e-commerce platform led by Shopee has adopted two logistics models, overseas warehouse and cross-border direct mail, and implemented a freight subsidy policy to increase users' purchase intention, but the large amount of freight subsidy has also caused the company to lose money year after year. Based on the above background, this paper explores the impact of logistics models and freight subsidies on the demand of bilateral cross-border e-merchants by using Shopee, a representative company of China-Southeast Asia cross-border e-merchants, as the research object. On this basis, the model is used to calculate user demand in two logistics modes and further compare the probability of user purchase choice in two typical regions under different logistics modes. Finally, the changes of e-commerce demand under the platform as a whole and different logistics modes are explored when the freight subsidy strength is retreated through the introduction of freight subsidy strength.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 419-439
Issue: 3
Volume: 48
Year: 2024
Keywords: Shopee; binary logit model; logistics model; freight subsidy.
File-URL: http://www.inderscience.com/link.php?id=142683
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:3:p:419-439

Template-Type: ReDIF-Article 1.0
Author-Name: Junxiang Li
Author-X-Name-First: Junxiang
Author-X-Name-Last: Li
Author-Name: Xiaran Gao
Author-X-Name-First: Xiaran
Author-X-Name-Last: Gao
Author-Name: Xinping Shao
Author-X-Name-First: Xinping
Author-X-Name-Last: Shao
Title: Resilience optimisation of contact centre during emergencies
Abstract:
Emergencies can easily block or paralyse the traditional contact centre system, and the routing strategy of the contact centre affects the ability of the system to deal with emergencies. In order to improve the handling capacity of the contact centre for emergencies and reduce economic losses, from the perspective of improving the resilience of the contact centre, a resilience index for quantitatively evaluating the resilience of the contact centre system during emergencies is proposed. In addition, a new multi-channel contact centre model with distributed agents and artificial intelligence channels is established with the goal maximising the resilience index. The numerical simulation analysis and comparison of this model are carried out by ProModel, a simulation software package. The results show that the new model can reduce the number of customers who give up, improve the system resilience and cut the cost.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 350-376
Issue: 3
Volume: 48
Year: 2024
Keywords: emergencies; contact centre; resilience; distributed agent; ProModel.
File-URL: http://www.inderscience.com/link.php?id=142686
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:3:p:350-376

Template-Type: ReDIF-Article 1.0
Author-Name: Muhammad Ahmed Kalwar
Author-X-Name-First: Muhammad Ahmed
Author-X-Name-Last: Kalwar
Author-Name: Asif Nawaz Wassan
Author-X-Name-First: Asif Nawaz
Author-X-Name-Last: Wassan
Author-Name: Waleed Ahmed Sheikh
Author-X-Name-First: Waleed Ahmed
Author-X-Name-Last: Sheikh
Author-Name: Muhammad Ali Khan
Author-X-Name-First: Muhammad Ali
Author-X-Name-Last: Khan
Author-Name: Hussain Bux Mari
Author-X-Name-First: Hussain Bux
Author-X-Name-Last: Mari
Title: System dynamics costing model for the capital cost estimation of electric vehicle batteries refurbishing facility
Abstract:
Electric vehicles (EVs) are considered sustainable vehicles due to low carbon emissions. Lithium-ion batteries (LIBs) are expensive electrical vehicle batteries (EVBs) due to their expensive rare raw materials, i.e., lithium, nickel and cobalt. With increased production of EVs, authors warned of the expected huge quantity of dismantled EVBs shortly and so explored their reusability. An in-depth review is conducted, and system dynamics (SD) model was developed in Anylogic whereas origin was used for graphs. The capital costs dynamics of the refurbishing facility were evaluated and the model was validated and initialised. The analysis was conducted in three sales scenarios: 1) locally; 2) regionally; 3) nationally. This paper provides a framework for entrepreneurs. The results indicated scenario-2 as more suitable with a maximum return on investment (ROI) (80.26%) and minimum payback period (626 weeks). Therefore, it is concluded that it would be feasible for the refurbishing facility to operate regionally rather than locally/nationally.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 377-404
Issue: 3
Volume: 48
Year: 2024
Keywords: electric vehicles; EVs; electric vehicle batteries; lithium-ion batteries; LIBs; batteries; refurbishment; recycling; sustainability; carbon; carbon emissions; infrastructural cost; capital cost; environment; refurbished EVBs; retired EVs; system dynamics.
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:3:p:377-404

Template-Type: ReDIF-Article 1.0
Author-Name: Marc Fischer
Author-X-Name-First: Marc
Author-X-Name-Last: Fischer
Author-Name: Bryan Jones
Author-X-Name-First: Bryan
Author-X-Name-Last: Jones
Title: Advanced delay-time analysis applied to carbon black powder production
Abstract:
Delay time models (DTM) for series systems divide the failure of a system into the appearance of defects and the delay until the breakdown. During this work, we developed four new DTM whose main novelty consists of considering cheaper online inspections preceding offline inspections. Our numerically tested models were applied to a previously published study about a carbon black factory. After the improvement of problematic assumptions, the optimal inspection period turns out to be considerably larger than in the previous study, which emphasises the need to flexibly develop new delay-time models when facing unusual situations and to avoid a reliance on black boxes. The correct handling of environmental consequences has a tremendous impact upon the optimal maintenance decision.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-21
Issue: 1
Volume: 48
Year: 2024
Keywords: delay time; Poisson process; maintenance; Monte-Carlo.
File-URL: http://www.inderscience.com/link.php?id=140668
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:1:p:1-21

Template-Type: ReDIF-Article 1.0
Author-Name: Showkat Ahmad Lone
Author-X-Name-First: Showkat Ahmad
Author-X-Name-Last: Lone
Author-Name: Intekhab Alam
Author-X-Name-First: Intekhab
Author-X-Name-Last: Alam
Author-Name: Sabir Ali Siddiqui
Author-X-Name-First: Sabir Ali
Author-X-Name-Last: Siddiqui
Author-Name: Ritu Rathee
Author-X-Name-First: Ritu
Author-X-Name-Last: Rathee
Title: Quality assurance using accelerated life testing via rebate warranty
Abstract:
Accelerated life testing (ALT) has now become the primary method for rapidly assessing product reliability. Designing highly effective test models is a vital step in ensuring that ALT can properly, quickly, and economically assess product reliability. These tests subject the sample to high levels of stress. Then, based on the stress-life relationship, the failure data can be extrapolated from a sample at a high-stress level to a normal level to calculate product life at usual operating conditions. The study is an advanced proposal to analyse ALT schemes for the quality improvement and reliability of modern products. The problem is investigated using constant stress, assuming that the unit lifetimes follow the power-function distribution. Furthermore, as a procedure that employs ALT to predict the cost of age replacement of goods covered by a warranty agreement. A mathematical example is also used to demonstrate theoretical findings. The result will prove an asset for marketing providers in estimating the various costs associated with the product under the warranty policy. Hence, it can help manufacturers to increase the reliability/quality of their products to achieve consumer satisfaction.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 37-51
Issue: 1
Volume: 48
Year: 2024
Keywords: product life acceleration; age-replacement warranty; power-function model; simulation analysis; accelerated life testing; ALT.
File-URL: http://www.inderscience.com/link.php?id=140669
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:1:p:37-51

Template-Type: ReDIF-Article 1.0
Author-Name: Nosi Keorapetse Patric Moakofi
Author-X-Name-First: Nosi Keorapetse Patric
Author-X-Name-Last: Moakofi
Author-Name: Jerekias Gandure
Author-X-Name-First: Jerekias
Author-X-Name-Last: Gandure
Author-Name: Venkata Parasuram Kommula
Author-X-Name-First: Venkata Parasuram
Author-X-Name-Last: Kommula
Title: Value chain analysis of biodiesel production from animal fat: a case of Botswana
Abstract:
Botswana as a developing country, is currently investing in biodiesel production, however, no data on biodiesel value chain characterisation is available to establish viability and sustainability of biodiesel production. This study characterised the value chain of animal fat biodiesel in respect of feedstock supply, production, and end use. The purpose of the study was to assess potential of animal fat feedstock to sustain envisaged biodiesel industry in Botswana. Methods used in the study include questionnaire surveys and interviews. Key findings of the study indicate that animal fat-based biodiesel value chain is unstructured, stakeholders are disintegrated and unregulated, and the country produces enough fat to yield tallow potential to produce 205,345 litres of biodiesel per month. The findings indicate the need for regulating and promoting animal fat-based biodiesel value chain with policies and establishment of entities to integrate value chain stakeholders as well as exploring all opportunities within the value chain.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 52-82
Issue: 1
Volume: 48
Year: 2024
Keywords: value chain; biodiesel; animal fat; production; Botswana.
File-URL: http://www.inderscience.com/link.php?id=140670
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:1:p:52-82

Template-Type: ReDIF-Article 1.0
Author-Name: Deepak Kumar
Author-X-Name-First: Deepak
Author-X-Name-Last: Kumar
Author-Name: Debasis Jana
Author-X-Name-First: Debasis
Author-X-Name-Last: Jana
Author-Name: Suprakash Gupta
Author-X-Name-First: Suprakash
Author-X-Name-Last: Gupta
Author-Name: Pawan Kumar Yadav
Author-X-Name-First: Pawan Kumar
Author-X-Name-Last: Yadav
Title: Reliability assessment of dragline's subsystem using dynamic Bayesian network
Abstract:
Draglines are very complex in design and consist of hundreds of components. Ensuring the high reliability of a dragline is essential for the economic sustainability of a surface mining project. This study proposes a methodology for the reliability assessment of the dragline's subsystem using the dynamic Bayesian network (DBN). The reliability of the dragging subsystem highly depends on the reliability of the drag brake, drag socket, and power failure. The dragging subsystem reliability is 84.29% at 1 <i>hr</i>. of machine operation. This study provides useful data for dragline maintenance planning and a reliability design.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 22-36
Issue: 1
Volume: 48
Year: 2024
Keywords: dynamic Bayesian network; DBN; reliability; dragline; opencast mine; mining machine.
File-URL: http://www.inderscience.com/link.php?id=140671
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:1:p:22-36

Template-Type: ReDIF-Article 1.0
Author-Name: Song Thanh Quynh Le
Author-X-Name-First: Song Thanh Quynh
Author-X-Name-Last: Le
Author-Name: June Ho
Author-X-Name-First: June
Author-X-Name-Last: Ho
Author-Name: Thi Kim Hue Trinh
Author-X-Name-First: Thi Kim Hue
Author-X-Name-Last: Trinh
Title: A forecast model for workers' performance in mass customised production
Abstract:
There has been a shift to mass customisation production for most of the manufacturing systems in recent decades. This leads to the need of predicting workers' performance for task assignments for all the main steps in manufacturing. However, the literature review shows that while most scholars pay more attention to the investigation of factors impacting worker performance; how these factors can be used to support decision making in task allocation is still in its infancy. This paper will propose a new method for determining the workers' performance by devising a rule-based system for the assembly manufacturing line. The application of previous experience, scientific knowledge, and historical data will increase the accuracy of the productivity and quality predictions.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 125-152
Issue: 1
Volume: 48
Year: 2024
Keywords: workers' performance; rule-based systems; decision tree; decision support technique.
File-URL: http://www.inderscience.com/link.php?id=140672
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:1:p:125-152

Template-Type: ReDIF-Article 1.0
Author-Name: Kai Sun
Author-X-Name-First: Kai
Author-X-Name-Last: Sun
Author-Name: Jiehua Feng
Author-X-Name-First: Jiehua
Author-X-Name-Last: Feng
Author-Name: Dongya Zhao
Author-X-Name-First: Dongya
Author-X-Name-Last: Zhao
Title: Decentralised sliding mode control for a class of nonlinear interconnected systems with unstable internal dynamic
Abstract:
In this paper, the problem of decentralised sliding mode control for nonlinear interconnected systems with unstable internal dynamic is studied. For each subsystem whose internal dynamic is unstable and can be linearised, a sliding surface composed of corresponding subsystem state variables is designed and the stability of sliding mode dynamic is analysed. Under a reachability condition, a decentralised sliding mode control is designed to force the interconnected system states to the sliding surface in finite time and maintain a sliding motion thereafter. The proposed method is proved effective through a simulation example of double translational oscillator with rotational actuator (TORA).
Journal: Int. J. of Industrial and Systems Engineering
Pages: 83-99
Issue: 1
Volume: 48
Year: 2024
Keywords: nonlinear interconnected systems; unstable internal dynamic; decentralised sliding mode control.
File-URL: http://www.inderscience.com/link.php?id=140673
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:1:p:83-99

Template-Type: ReDIF-Article 1.0
Author-Name: Binay Kumar
Author-X-Name-First: Binay
Author-X-Name-Last: Kumar
Title: Unreliable queue model with multi-phases of services, delay repair and single vacation
Abstract:
In the present paper, we investigate a bulk queue model with unreliable server. The service is provided in multi phase; the first phase of service is essential for the entire arriving unit while remaining (<i>l</i> - 1) services are optional and are provided as per demand of unit. The second phase of service is followed by first phase, third is followed by second and so on. The server may stops working during any phase of service due to random failure. The repair work starts immediately as soon as server fails, provided the repair facility is available, otherwise there may be delay in repair. The server takes single vacation as soon system becomes empty. After completion of vacation the server may turns on with probability p if there are <i>N</i> customers accumulated in the system, otherwise it may remain idle with probability (1 - <i>p</i>). If there are more than <i>N</i> customers in the system then server immediately starts serving the waiting customer. The supplementary variable technique is applied to derive the server's state queue size distribution and queue size distribution at random epoch. The various performance measures of the system are obtained in explicit form. A numerical illustration is provided to verify the validity and sensitivity analysis of these performance measures.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 100-124
Issue: 1
Volume: 48
Year: 2024
Keywords: optional phase service; supplementary variable; unreliable server; delay repair; (<i>p</i>&#44; <i>N</i>) policy.
File-URL: http://www.inderscience.com/link.php?id=140682
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Handle: RePEc:ids:ijisen:v:48:y:2024:i:1:p:100-124

Template-Type: ReDIF-Article 1.0
Author-Name: Parikshit Dinesh Sarulkar
Author-X-Name-First: Parikshit Dinesh
Author-X-Name-Last: Sarulkar
Author-Name: S. Kumar
Author-X-Name-First: S.
Author-X-Name-Last: Kumar
Author-Name: Anish Kumar
Author-X-Name-First: Anish
Author-X-Name-Last: Kumar
Author-Name: Vineet Kumar Yadav
Author-X-Name-First: Vineet Kumar
Author-X-Name-Last: Yadav
Title: Implementation of internet of things in micro, small, and medium enterprises: a case study
Abstract:
Micro, small, and medium enterprises (MSMEs) play a vital role in India's economic growth. MSMEs operating in the scrap management sector encounter two main concerns about the transportation cost and scheduling of vehicles. To solve these issues, MSMEs are trying to adopt emerging technologies such as automatic scrap storage, inventory control, and retrieval systems. However, MSMEs are reluctant to implement these technologies due to their pre-assumption of high adoption costs and expected benefits. The present study focused on the effective IoT implementation in vehicle loading to reduce transportation costs and trips in MSMEs. The case study of the scrap managing company has been considered to show the benefits of IoT implementation in MSMEs. The simulation was performed using FlexSim, and the results have confirmed that the IoT implementation can improve vehicle loading by 38% and reduce transportation costs by 38.6%. The outcomes highlight the benefits of IoT deployment in MSMEs.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 160-175
Issue: 2
Volume: 47
Year: 2024
Keywords: micro&#44; small&#44; and medium enterprises; MSMEs; scrap management; IoT implementation; transportation; FlexSim simulation.
File-URL: http://www.inderscience.com/link.php?id=138891
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:2:p:160-175

Template-Type: ReDIF-Article 1.0
Author-Name: Wang Hong
Author-X-Name-First: Wang
Author-X-Name-Last: Hong
Author-Name: Wen Kun
Author-X-Name-First: Wen
Author-X-Name-Last: Kun
Author-Name: Shouqian Kang
Author-X-Name-First: Shouqian
Author-X-Name-Last: Kang
Title: Dynamic futures margin setting method under state dependence
Abstract:
Margin is not only a basic risk control system for futures trading, but also an important part of the cost of futures trading, and its fundamental position is very important. This paper presents a dynamic margin setting method for futures based on market state, which considers extreme risk control and opportunity cost. In different market conditions, we choose different margin levels to better balance spillover probability and opportunity cost. Using machine learning, we sample the sugar futures traded on the Dalian Commodity Exchange between January 6, 2006, and May 29, 2020. The market is divided into three categories by the hidden Markov model: highly volatile, volatile, and stable. We compare margin level under VaR, CVaR, MMVaR, EWMA and improved EWMA risk standards. Comparative analysis and retrospective test show that the current fixed margin ratio is unreasonable, and the margin level under the single risk criterion cannot balance risk control and opportunity cost well. We recommend that market regulators dynamically adjust margin setting levels according to different market states, thereby luring more investors to invest and boosting the liquidity of the futures market.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 176-193
Issue: 2
Volume: 47
Year: 2024
Keywords: dynamic margin level; risk criteria; machine learning; market status.
File-URL: http://www.inderscience.com/link.php?id=138892
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:2:p:176-193

Template-Type: ReDIF-Article 1.0
Author-Name: Ying Chen
Author-X-Name-First: Ying
Author-X-Name-Last: Chen
Author-Name: Mei Han
Author-X-Name-First: Mei
Author-X-Name-Last: Han
Title: Efficient Bayesian optimisation of bounded general loss function for robust parameter design
Abstract:
Robust parameter design (RPD) has been generally employed to minimise the system quality loss caused by noise perturbation via setting control factors in engineering design. Bayesian optimisation algorithms have received increasing attention for RPD, which includes establishing the Kriging model and developing acquisition functions (AFs). In RPD, the quality loss function method is a common method to calculate the response deviation from a target value. The existing literature mainly focuses on setting the loss function as a quadratic function for easier calculation, while it is not always reasonable due to its unboundedness. In this paper, we propose three efficient Bayesian algorithms for bounded general loss functions for finding the optimal design of control factors based on a Kriging model. We develop a Monte Carlo sampling method to approximate the proposed AFs. Three numerical examples and a rocket injector case are used to demonstrate the effectiveness of the proposed algorithms.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 194-215
Issue: 2
Volume: 47
Year: 2024
Keywords: Bayesian optimisation; robust parameter design; RPD; bounded general loss function; acquisition function; Gaussian process model.
File-URL: http://www.inderscience.com/link.php?id=138893
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:2:p:194-215

Template-Type: ReDIF-Article 1.0
Author-Name: Subburaman Karthik
Author-X-Name-First: Subburaman
Author-X-Name-Last: Karthik
Author-Name: Balaji Kuppusamy
Author-X-Name-First: Balaji
Author-X-Name-Last: Kuppusamy
Title: Integration of modified FMEA approach with Industry 4.0 technologies to improve reliability of lean systems
Abstract:
Many organisations are using lean tools with Industry 4.0 technology these days to enhance the sustainability of their lean manufacturing systems. This article contributes by combining a lean tool (modified FMEA) with Industry 4.0 technologies to improve the dependability of lean systems. Under the four lean subsystems of personnel, equipment, materials, and schedules, a redesigned FMEA framework incorporating Industry 4.0 technologies is proposed. From the mapping of lean wastes, inventory accounts for 39% of total waste, overproduction accounts for 23% of total waste, defects account for 22% of total waste, non-utilised talent accounts for 16% of total waste based on RAV calculation from modified FMEA table. Also based on RPN calculation from the modified FMEA table, Inventory accounts for 45% of total waste, overproduction accounts for 23%, of total waste, defects account for 19% of total waste, non-utilised talent accounts for 13% of total waste.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 216-236
Issue: 2
Volume: 47
Year: 2024
Keywords: lean; Industry 4.0; personnel; equipment; materials; schedules.
File-URL: http://www.inderscience.com/link.php?id=138895
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:2:p:216-236

Template-Type: ReDIF-Article 1.0
Author-Name: Jianjun Yu
Author-X-Name-First: Jianjun
Author-X-Name-Last: Yu
Author-Name: Liqian Wang
Author-X-Name-First: Liqian
Author-X-Name-Last: Wang
Author-Name: Yongwu Zhou
Author-X-Name-First: Yongwu
Author-X-Name-Last: Zhou
Author-Name: Hongkai Fang
Author-X-Name-First: Hongkai
Author-X-Name-Last: Fang
Title: Contract design and order decision of online retailer's sharing surplus demand with offline retailer
Abstract:
With the gradual slowdown in the growth rate of e-commerce transaction volume, some online retailers choose to cooperate with offline retailers to jointly explore a profit increment path and achieve a new round of profits. In this cooperation mode, the online retailer will share his surplus demand with the offline retailer to complete. This paper designs two kinds of contracts to distribute the cooperative income. In contract 1, the online retailer will return a certain proportion of the cooperative profit to the offline retailer. While in contract 2, the online retailer will provide certain subsidies to the offline retailer according to his order quantity. The results show that contract 1 is dominant when the offline retailer is faced with high demand or slow-volatile demand. However, contract 2 outperforms in the contrary situation. Through sensitivity analysis, it is found that changing the cost or price of the offline retailer can improve the performance of both retailers.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 143-159
Issue: 2
Volume: 47
Year: 2024
Keywords: random demand; Stackelberg game; transshipment; revenue sharing contract; ordering decision.
File-URL: http://www.inderscience.com/link.php?id=138896
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:2:p:143-159

Template-Type: ReDIF-Article 1.0
Author-Name: Sapna Saini
Author-X-Name-First: Sapna
Author-X-Name-Last: Saini
Author-Name: Jitender Kumar
Author-X-Name-First: Jitender
Author-X-Name-Last: Kumar
Author-Name: M.S. Kadyan
Author-X-Name-First: M.S.
Author-X-Name-Last: Kadyan
Title: Profit analysis of utensils manufacturing system of steel industry
Abstract:
The objective of the present study is to deal with the profit analysis of utensils manufacturing system of steel industry which has six subsystems: 'hot rolling and annealing', 'washing machine', 'sheet gridding', 'cold rolling', 'circle cutting and pressing machine' and 'machining, annealing and designing'. These subsystems are connected in series pattern. Subsystems 'hot rolling and annealing', 'sheet gridding', 'circle cutting and pressing machine' and 'machining, annealing and designing' consist a single unit. Subsystem 'washing machine' contains three identical units: two units are working in parallel and other unit is hold in cold standby. The subsystem 'cold rolling' has two similar units: one is operative and other is in cold standby. Failure rates and repair rates are follows general distributions. Supplementary variable technique is used to analyse the utensils manufacturing system. The behaviour of the utensils manufacturing system has been evaluated by considering arbitrary parametric values for exponential, Rayleigh and Weibull distributions.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 237-270
Issue: 2
Volume: 47
Year: 2024
Keywords: profit analysis; steel industry; availability analysis; supplementary variable technique; utensils manufacturing system.
File-URL: http://www.inderscience.com/link.php?id=138897
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:2:p:237-270

Template-Type: ReDIF-Article 1.0
Author-Name: Ibrahim H. Garbie
Author-X-Name-First: Ibrahim H.
Author-X-Name-Last: Garbie
Author-Name: Abdelrahman I. Garbie
Author-X-Name-First: Abdelrahman I.
Author-X-Name-Last: Garbie
Title: Toward smart manufacturing systems incorporating reconfiguration issues
Abstract:
Nowadays, Industry 4.0 will become urgently implemented in most developed countries, although it is still mainly conceptual. As there are three different aspects making up Industry 4.0 (I4.0), such as digital systems, biological systems, and physical systems, most of the research published works were focused on mainly the first one. The smart manufacturing system (SMS) is not an invention, although it is representing the heart of I4.0. The SMS is a rebirth of a new version and innovation of production systems taken into consideration reconfiguring the existing manufacturing systems through adding machines with sensors, actuators, and control architectures for achieving the ultimate goals of I4.0. There are many challenges when reconfiguring these systems as an essential requirement to implement I4.0, representing the degree of individual system complexity, reconfigurable machines, material handling systems, system layout, competitive manufacturing strategies, leanness agility, and embedded systems (cyber-physical systems). In this paper, a new perspective of reconfiguring manufacturing systems will be figured out, and the reconfigurability level toward I4.0 will be presented.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-33
Issue: 1
Volume: 46
Year: 2024
Keywords: Industry 4.0; smart manufacturing systems; SMSs; reconfiguration.
File-URL: http://www.inderscience.com/link.php?id=135826
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:1:p:1-33

Template-Type: ReDIF-Article 1.0
Author-Name: Xu Ma
Author-X-Name-First: Xu
Author-X-Name-Last: Ma
Author-Name: Zhenyu Zhao
Author-X-Name-First: Zhenyu
Author-X-Name-Last: Zhao
Title: Investment efficiency evaluation of electric power substation projects by stages using the EWM-DEA model
Abstract:
Power grid construction projects are crucial for national industrial development. To improve the investment efficiency (IE) of substation engineering construction, this study determines the influencing factors of the input and output of substation construction projects through the entropy weight method (EWM) principle and constructs the evaluation model of IE of substation engineering construction by using data envelopment analysis (DEA) theory. Considering substation projects of a power grid company as an example, this article evaluates and compares the investment economy of one-time and phased construction to maximise the economic efficiency of substation project construction. Hence, our study provides scientific reference for investment decision-making involving substation projects and promotes collaborative planning of various regions, projects, and assets under the construction of substation projects. The results show that the IE of phased substation construction projects is higher than that of one-time construction. This effectively improves the IE of power grid companies.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 34-57
Issue: 1
Volume: 46
Year: 2024
Keywords: substation project; data envelopment analysis; DEA; entropy weight method; EWM; input-output index; construction by stages; investment efficiency; IE.
File-URL: http://www.inderscience.com/link.php?id=135828
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:1:p:34-57

Template-Type: ReDIF-Article 1.0
Author-Name: Karim Dahech
Author-X-Name-First: Karim
Author-X-Name-Last: Dahech
Author-Name: Moez Allouche
Author-X-Name-First: Moez
Author-X-Name-Last: Allouche
Author-Name: Tarak Damak
Author-X-Name-First: Tarak
Author-X-Name-Last: Damak
Title: A robust non-singular fast terminal sliding mode controller for optimising a wind energy process
Abstract:
This paper deals with the development of a non-singular fast terminal sliding mode controller for maximum power point tracking of wind energy conversion system. The studied system is made up of a wind turbine coupled to a permanent magnet synchronous generator, a three-phase diode rectifier and supplying through a boost converter, a resistive load. The principle of the control scheme is based on electrical measurements and the choice of a suitable sliding surface. This approach presents a good transition response, a low tracking error and a very fast reaction against wind speed variations compared to the traditional sliding mode controller. The effectiveness of the proposed control scheme is demonstrated by numerical simulations under different climatic conditions.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 107-125
Issue: 1
Volume: 46
Year: 2024
Keywords: wind energy process; maximum power point tracking; robust control; non-singular fast terminal sliding mode controller; Lyapunov function.
File-URL: http://www.inderscience.com/link.php?id=135829
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:1:p:107-125

Template-Type: ReDIF-Article 1.0
Author-Name: Henk &#118;an &#100;en Heever
Author-X-Name-First: Henk &#118;an &#100;en
Author-X-Name-Last: Heever
Author-Name: Rudolph Oosthuizen
Author-X-Name-First: Rudolph
Author-X-Name-Last: Oosthuizen
Title: Application of cognitive work analysis in support of systems engineering of a socio-technical system
Abstract:
This paper presents a validation workflow to support system requirements analysis. Systems engineering supports the development of socio-technical systems. However, the traditional systems engineering approach of reducing the system to component level to perform detailed designs and integrate them into a solution system may miss unexpected emergent behaviour when introducing a new technology into a socio-technical system. It may require changes in the socio-technical system's information flows, processes and procedures. Ignoring these emerging requirements may result in undesirable results or failures in the system. Cognitive work analysis, with work domain analysis in particular, provides a framework for analysing, modelling and designing socio-technical systems. The output abstraction hierarchy models were evaluated using a focus group approach for perceived utility in uncovering potential design emergence. The focus groups supported both the models and the proposed method. This structured approach will support requirements capturing and analysis for developing and engineering socio-technical systems.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 90-106
Issue: 1
Volume: 46
Year: 2024
Keywords: cognitive work analysis; CWA; systems engineering; requirements analysis; work domain analysis; WDA; emergence; socio-technical.
File-URL: http://www.inderscience.com/link.php?id=135830
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:1:p:90-106

Template-Type: ReDIF-Article 1.0
Author-Name: Yiran Xiang
Author-X-Name-First: Yiran
Author-X-Name-Last: Xiang
Author-Name: Zhe Zhang
Author-X-Name-First: Zhe
Author-X-Name-Last: Zhang
Author-Name: Xue Gong
Author-X-Name-First: Xue
Author-X-Name-Last: Gong
Author-Name: Yong Yin
Author-X-Name-First: Yong
Author-X-Name-Last: Yin
Title: A VNS-IG algorithm for dynamic <i>seru</i> scheduling problem with sequence-dependent setup time and resource constraints
Abstract:
This paper is concerned with the unspecified dynamic scheduling problem by consideration of sequence-dependent setup time and resource constraints in the setups (UDSS-SR) in a new-type &lt;i&gt;seru&lt;/i&gt; production system (SPS). The UDSS-SR problem is formulated as a mixed integer linear programming (MILP) model to minimise the makespan, and an iterative greedy algorithm based on variable neighbourhood search (VNS-IG) is designed subsequently to facilitate decision-making in the real environment to rationalise operations and additional resources. A set of test problems is generated, and computational experiments with different instance sizes are finally made. The results indicate that the proposed VNS-IG algorithm has good performance in solving &lt;i&gt;seru&lt;/i&gt; scheduling problem in terms of solution quality and efficiency.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 58-89
Issue: 1
Volume: 46
Year: 2024
Keywords: scheduling; <i>seru</i> production; sequence-dependent setup time; resource constraint; hybrid intelligent algorithm.
File-URL: http://www.inderscience.com/link.php?id=135831
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:1:p:58-89

Template-Type: ReDIF-Article 1.0
Author-Name: Nitish Joshi
Author-X-Name-First: Nitish
Author-X-Name-Last: Joshi
Author-Name: Tejaswi Khanna
Author-X-Name-First: Tejaswi
Author-X-Name-Last: Khanna
Author-Name: Vikram Bali
Author-X-Name-First: Vikram
Author-X-Name-Last: Bali
Author-Name: Shivani Bali
Author-X-Name-First: Shivani
Author-X-Name-Last: Bali
Title: NBSOC framework for team structure to develop blockchain-based applications
Abstract:
For the development of blockchain applications, platforms have been implemented by corporates like IBM, Oracle, Amazon, etc. Blockchain comprises smart contract development, which gets deployed over a peer-to-peer network. Basic skills about blockchain are still lacking amongst the developer community and all the people involved in developing blockchain applications. This paper proposes an NBSOC framework for organising teams to build blockchain-based applications. This framework has been used to create a team structure for implementing a land record management system. The authors have addressed the implementation challenges, cost, roles and responsibilities of an individual in the blockchain development environment.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 126-149
Issue: 1
Volume: 46
Year: 2024
Keywords: blockchain; team structure; smart contract; decentralised applications; software engineering.
File-URL: http://www.inderscience.com/link.php?id=135832
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:1:p:126-149

Template-Type: ReDIF-Article 1.0
Author-Name: Taher Ahmadi
Author-X-Name-First: Taher
Author-X-Name-Last: Ahmadi
Author-Name: Jack A.A. &#118;an &#100;er Veen
Author-X-Name-First: Jack A.A. &#118;an &#100;er
Author-X-Name-Last: Veen
Author-Name: V. Venugopal
Author-X-Name-First: V.
Author-X-Name-Last: Venugopal
Author-Name: Mehdi A. Kamran
Author-X-Name-First: Mehdi A.
Author-X-Name-Last: Kamran
Title: Conditions for viable horizontal collaborative transport: insights from a stylised model
Abstract:
Recent developments such as increased volatility and sustainability requirements, lead to added pressure on supply chain performance. This is frequently considered a reason for firms to engage in collaboration. However, in practice the level of collaboration lags behind the expectations. To contribute to closing this gap between theory and practice, in this paper, the conditions for establishing a viable horizontal transport collaboration are studied. To this end, a stylised quantitative model of two supply chains, each comprising a single buyer and a single supplier located in different geographical regions is modelled. A horizontal logistics collaboration (HLC) scenario is investigated. It is demonstrated that due to hidden coordination costs in terms of inventory and warehousing costs, forming a viable HLC is not straightforward. This adds to the literature in the sense that in evaluating the viability of HLCs hardly ever trade-offs between different organisational functions are addressed.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-35
Issue: 5
Volume: 47
Year: 2024
Keywords: emission tax policy; greenhouse gas emissions; horizontal logistics collaboration; HLC; joint inventory; transport planning.
File-URL: http://www.inderscience.com/link.php?id=139945
File-Format: text/html
File-Restriction: Open Access
Handle: RePEc:ids:ijisen:v:47:y:2024:i:5:p:1-35

Template-Type: ReDIF-Article 1.0
Author-Name: Nasser Ramsawak
Author-X-Name-First: Nasser
Author-X-Name-Last: Ramsawak
Author-Name: Boppana V. Chowdary
Author-X-Name-First: Boppana V.
Author-X-Name-Last: Chowdary
Title: Development of a face shield concept to protect against COVID-19 infection using integrated CAD and CAE tools and sustainable design techniques: deployment of international standards
Abstract:
To this day, the COVID-19 pandemic has infected hundreds of millions of persons globally. Counter measures to combat this virus have been orchestrated by major health enterprises that have approved solutions including vaccines, social distancing and facial protection. As such, this paper focuses on the development of a COVID-19 preventative face shield concept using integrated computer-aided design and engineering (CAD and CAE or CAD/E) tools alongside sustainable design techniques to generate a virtual model in compliance with the safety standards as recommended by the major international health organisations. The study will employ an extensive review of literature, standard product development practices, CAD drawings, and CAE simulations and analysis to facilitate the concept's evolution. This proposal can prove highly valuable to sanitation companies owing to the recently exorbitant market demands for face shields because of the pandemic, which can in turn provide substantial profit to both a business and daily consumer.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 46-83
Issue: 1
Volume: 47
Year: 2024
Keywords: COVID-19; face shield concept; computer aided design; CAD; computer aided engineering; CAE; sustainable design techniques; safety standards; product development practices; health organisations; virtual model; sanitation companies.
File-URL: http://www.inderscience.com/link.php?id=138158
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:1:p:46-83

Template-Type: ReDIF-Article 1.0
Author-Name: Sreyneath Chhun
Author-X-Name-First: Sreyneath
Author-X-Name-Last: Chhun
Author-Name: Saowanit Lekhavat
Author-X-Name-First: Saowanit
Author-X-Name-Last: Lekhavat
Author-Name: Mohammad Alghababsheh
Author-X-Name-First: Mohammad
Author-X-Name-Last: Alghababsheh
Title: A multi-objective optimisation for green supply chain network design problem considering economic and environmental sustainability
Abstract:
The aim of this study is to develop a multi-objective optimisation for the green supply chain network design (GSCND) problem considering economic and environmental sustainability. The economic and environmental sustainability of different facilities (i.e., suppliers, plants and distribution centres) and allocation routes under five different scenarios of demand, capacity, distance, and area were evaluated. The economic sustainability was assessed in terms of four supply chain costs (i.e., establishment, transportation, production and holding costs). Environmental sustainability was measured using the ReCipe method &#45; a method of life cycle assessment (LCA). The result revealed an interesting practical solution to the scenarios considered.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 20-45
Issue: 1
Volume: 47
Year: 2024
Keywords: environmental sustainability; green supply chain; multi-commodity; multi-objective optimisation; particle swarm optimisation; supply chain network design problem.
File-URL: http://www.inderscience.com/link.php?id=138159
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:1:p:20-45

Template-Type: ReDIF-Article 1.0
Author-Name: Lubna A. Baqleh
Author-X-Name-First: Lubna A.
Author-X-Name-Last: Baqleh
Author-Name: Hala AlSliti
Author-X-Name-First: Hala
Author-X-Name-Last: AlSliti
Author-Name: Mohammed Said Obeidat
Author-X-Name-First: Mohammed Said
Author-X-Name-Last: Obeidat
Author-Name: Samir Khrais
Author-X-Name-First: Samir
Author-X-Name-Last: Khrais
Title: Lean manufacturing implementation in the food industry in Jordan
Abstract:
Lean manufacturing philosophy aims to enhance operation efficiency by eliminating wastes, which are considered non-value added activities that increase costs and reduce profits in the competitive marketplace. In this study, the lean manufacturing concepts were used using the value stream mapping, to highlight areas of improvement and eliminate wastes in a thyme manufacturing line in a food factory in Jordan. The data were collected using motion and time study concepts from the factory, and both the current and future state value stream maps were constructed. The results showed that when joining packing and labelling operations in the thyme manufacturing line, the lead time was successfully reduced by 13.57%.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 84-97
Issue: 1
Volume: 47
Year: 2024
Keywords: lean manufacturing; value stream mapping; VSM; thyme; food industry; Jordan.
File-URL: http://www.inderscience.com/link.php?id=138160
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:1:p:84-97

Template-Type: ReDIF-Article 1.0
Author-Name: Adewole Adegbola
Author-X-Name-First: Adewole
Author-X-Name-Last: Adegbola
Author-Name: Venkat Allada
Author-X-Name-First: Venkat
Author-X-Name-Last: Allada
Title: A revenue-based decision-making approach for evaluating modular product release plans under resource constraints
Abstract:
This study introduces the module substitution concept to develop an approach for assessing different strategies for modular product release in a technology-receptive market. We consider a situation where product variants emerge from modules which have varying modular relationships, and each module is defined by specific attributes. The statistical program evaluation and review technique (statistical PERT) was then adopted to address the uncertainties associated with module attributes. A practical example involving the development of modules, product families and their product variants is used to demonstrate the applicability of the approach in which feasible strategies that satisfy the development resource constraint were identified. We then introduced a substitute module to yield a product variant and re-evaluated the strategies. The results obtained shows that the approach is instrumental in assessing various alternatives based on launch timings and revenue generation and can be adopted by managers in deciding on the appropriate product release plan.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 1-19
Issue: 1
Volume: 47
Year: 2024
Keywords: product release; product variants; resource constraint; module substitution; statistical PERT.
File-URL: http://www.inderscience.com/link.php?id=138162
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:1:p:1-19

Template-Type: ReDIF-Article 1.0
Author-Name: Nur Nadia Nadirah Yusuf
Author-X-Name-First: Nur Nadia Nadirah
Author-X-Name-Last: Yusuf
Author-Name: Shaliza Azreen Mustafa
Author-X-Name-First: Shaliza Azreen
Author-X-Name-Last: Mustafa
Author-Name: Rosmaini Ahmad
Author-X-Name-First: Rosmaini
Author-X-Name-Last: Ahmad
Title: Ergonomics intervention with DMAIC methodology application &#45; a case study in the food manufacturing industry
Abstract:
This study aims to assess the level of ergonomics risk factors (ERFs) in production workstations using ergonomics assessment tools and provide an appropriate solution to improve the safety and health of the workers. A systematic approach using define-measure-analyse-improve-control (DMAIC) methodology was applied. Initial assessment found that awkward posture was the main ERF emerging in the company. Under the Measure and Analyse phases, the rapid upper limb assessment (RULA) and rapid entire body assessment (REBA) tools were applied to further assess of the identified ERFs. Results found that the filling task is the highest risk condition. Improve phase involved improvements action based on simple invention using a wooden step stool to provide a neutral working posture and the REBA has showed the signs of low risk comparatively. Related recommendations based on hazard identification, risk assessment and risk control (HIRARC) were then given in the control phase for future work planning.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 125-141
Issue: 1
Volume: 47
Year: 2024
Keywords: ergonomics assessment; musculoskeletal disorders; MSD; DMAIC; RULA; REBA; food industry.
File-URL: http://www.inderscience.com/link.php?id=138163
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:1:p:125-141

Template-Type: ReDIF-Article 1.0
Author-Name: Jae-Yong Yang
Author-X-Name-First: Jae-Yong
Author-X-Name-Last: Yang
Author-Name: Geun-Wan Park
Author-X-Name-First: Geun-Wan
Author-X-Name-Last: Park
Author-Name: Kwangtae Park
Author-X-Name-First: Kwangtae
Author-X-Name-Last: Park
Author-Name: Rajesh Piplani
Author-X-Name-First: Rajesh
Author-X-Name-Last: Piplani
Title: Development of a prescription framework for supply chain risk management: cases of Asian MNCs
Abstract:
We use the level of impact and duration of risk to classify types of supply chain risks and their effective prescriptions using case studies of multi-national companies. The classification of supply chain risks and countermeasures for each risk type are presented as a risk diagnosis and prescription matrix. The companies adopt a risk acceptance strategy when the impact is low and the duration short. When impact is high and the duration short, substitute raw materials (or production sites) are considered under risk avoidance strategy. New suppliers and technologies are developed for complete replacement for risk mitigation when the duration of risk is long but the impact low. For risk-sharing, new demand sources are developed, and diversification of suppliers and production sites pursued when the risk duration is long and the impact high. Novelty of our study is in considering risk duration as an additional variable in risk management strategy.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 98-124
Issue: 1
Volume: 47
Year: 2024
Keywords: supply chain risk; prescription matrix; Asian MNC.
File-URL: http://www.inderscience.com/link.php?id=138164
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Handle: RePEc:ids:ijisen:v:47:y:2024:i:1:p:98-124

Template-Type: ReDIF-Article 1.0
Author-Name: Olfa Harrabi
Author-X-Name-First: Olfa
Author-X-Name-Last: Harrabi
Author-Name: Jouhaina Chaouachi Siala
Author-X-Name-First: Jouhaina Chaouachi
Author-X-Name-Last: Siala
Author-Name: Mehdi Mrad
Author-X-Name-First: Mehdi
Author-X-Name-Last: Mrad
Title: An optimisation-based system for the university course timetabling: a novel integer linear programming model
Abstract:
University course timetabling is an ongoing challenge that most of educational institutions face when scheduling courses. The problem assigns lectures to specific numbers of time slots and rooms while taking several conflicting constraints into account. Hence, effective decision making is strongly required to provide the timetabler's a useful toolkit. This article integrates a user friendly decision support system for the university course timetabling problem. The system employs a novel linear programming formulation that provides constraints for a great number of operational rules and requirements. Treated as an optimisation problem, the objective is to provide a best solution satisfying at most teachers' preferences. The case of the High Institute of Business Studies of Carthage with a huge number of courses and teachers is treated along. The computational results of our system demonstrate a significant performance over the manual process on both computation time and solution quality.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 195-214
Issue: 2
Volume: 46
Year: 2024
Keywords: course timetabling; teacher preference; decision support system; DSS; sum colouring problem; integer linear programming; ILP.
File-URL: http://www.inderscience.com/link.php?id=136412
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:2:p:195-214

Template-Type: ReDIF-Article 1.0
Author-Name: Shan Hu
Author-X-Name-First: Shan
Author-X-Name-Last: Hu
Author-Name: Liyan Zhang
Author-X-Name-First: Liyan
Author-X-Name-Last: Zhang
Author-Name: Weiqi Guo
Author-X-Name-First: Weiqi
Author-X-Name-Last: Guo
Author-Name: Dong Zhang
Author-X-Name-First: Dong
Author-X-Name-Last: Zhang
Author-Name: Qi Jia
Author-X-Name-First: Qi
Author-X-Name-Last: Jia
Author-Name: Zitong Yang
Author-X-Name-First: Zitong
Author-X-Name-Last: Yang
Author-Name: Min Guo
Author-X-Name-First: Min
Author-X-Name-Last: Guo
Title: Research on the design of smart sleep aid interactive products
Abstract:
The purpose of this research is to solve their problems of being uncomfortable, easy to lose, and unable to accurately determine the user's sleep state to cause second awakening, so as to maximise the needs of users and improve the user experience. The research uses the analytic hierarchy process (AHP), quality function deployment (QFD), and function behaviour structure (FBS) models to integrate an innovative design method. This method first extracts user needs and calculates weights through an AHP. The results use convolutional neural networks to build a user sleep state model with personal sleep characteristics to achieve effective transformation of user requirements to design results. This method can improve the user experience of intelligent sleep aid products from the perspective of user needs and provide a feasible reference for the design research of intelligent sleep aid products.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 151-168
Issue: 2
Volume: 46
Year: 2024
Keywords: smart products; sleep aid; analytic hierarchy process; AHP; quality function deployment; QFD; function behaviour structure; FBS model; intelligent monitoring.
File-URL: http://www.inderscience.com/link.php?id=136413
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:2:p:151-168

Template-Type: ReDIF-Article 1.0
Author-Name: Giannis A. Kechagias
Author-X-Name-First: Giannis A.
Author-X-Name-Last: Kechagias
Author-Name: Alexandros C. Diamantidis
Author-X-Name-First: Alexandros C.
Author-X-Name-Last: Diamantidis
Author-Name: Theodosis D. Dimitrakos
Author-X-Name-First: Theodosis D.
Author-X-Name-Last: Dimitrakos
Title: A semi-Markov decision model for the optimal control of an emergency medical service system
Abstract:
A mathematical model for the analysis of an emergency medical service (EMS) system with a specific number of advanced life support units (ALS) and a specific number of basic life support (BLS) units is presented in this paper. The system admits incoming emergency calls which are divided into two classes: 1) urgent, high-priority calls for which the patient's life is potentially at risk; 2) less urgent low-priority calls. Under a suitable cost structure, the system is modelled using an appropriate Markov decision process in continuous time for which we seek a stationary policy that minimises a predefined optimality criterion for vehicle mixes over a set of candidate ambulance fleets. Based on this formulation, it is possible to implement standard Markov decision algorithms, such as the standard value-iteration algorithm and the standard policy-iteration algorithm. A sensitivity analysis of some model parameters is provided to examine their effect in the vehicle mix and in the cost of the system. An integer programming formulation is also provided for the corresponding location-allocation problem of the model. Numerical results are also presented for the examined problem.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 169-194
Issue: 2
Volume: 46
Year: 2024
Keywords: emergency medical service system; EMS; vehicle mix; Markov decision process; MDP; integer programming.
File-URL: http://www.inderscience.com/link.php?id=136414
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:2:p:169-194

Template-Type: ReDIF-Article 1.0
Author-Name: Hala Ahmed
Author-X-Name-First: Hala
Author-X-Name-Last: Ahmed
Author-Name: Mahassen Khater
Author-X-Name-First: Mahassen
Author-X-Name-Last: Khater
Author-Name: Raafat Elshaer
Author-X-Name-First: Raafat
Author-X-Name-Last: Elshaer
Title: New order-picking routing heuristics for single block rectangular warehouse
Abstract:
Order picking is the most labour-intensive and costly activity for almost every warehouse. This paper has two main objectives: first, to propose two new routing heuristics for order-picking in a rectangular warehouse, Ascending and Ascending&#43;, and second, to investigate the impact of order region on the performance of routing heuristics. Four experiments based on dividing the warehouse into 12 main regions and large numbers of randomly generated test problems are designed to validate the proposed heuristics' performance. The computational results demonstrate the effectiveness and efficiency of the ascending&#43; heuristic compared to the performance of the previously published heuristics. The statistical analysis reveals the significant impact of the order region on the performance of the routing heuristics. Therefore, each order region is allocated to the best-performed heuristic.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 238-258
Issue: 2
Volume: 46
Year: 2024
Keywords: order picking heuristics; warehouse; logistics.
File-URL: http://www.inderscience.com/link.php?id=136415
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:2:p:238-258

Template-Type: ReDIF-Article 1.0
Author-Name: Faisal S. Alfaiz
Author-X-Name-First: Faisal S.
Author-X-Name-Last: Alfaiz
Author-Name: David S. Kim
Author-X-Name-First: David S.
Author-X-Name-Last: Kim
Author-Name: Hector A. Vergara
Author-X-Name-First: Hector A.
Author-X-Name-Last: Vergara
Title: Assessing process time estimation for job sequencing in moving mixed-model assembly lines
Abstract:
Job sequencing optimisation in moving mixed-model assembly lines has been studied extensively, and many optimisation procedures require average job processing times as input. However, in practice estimating average job processing times can be difficult for multiple reasons. In this study, various factors related to job processing time estimation are investigated to provide insight into more efficient job processing time estimation to support sequencing optimisation. To this end job sequencing optimisation was performed using job processing times representing estimates, where specific differences from assumed true average processing times were controlled, and separately with the assumed true average processing times. Experiments were conducted to identify the characteristics of the estimated processing times having the greatest impact on job sequence performance (i.e., the performance differences between using estimated, and assumed true processing times in job sequencing optimisation). The results indicate that if the estimated processing times used for job sequencing optimisation replicate specific properties (e.g., the rank) of true processing times, which may be different for different assembly systems, then most benefits of job sequencing optimisation may be realised.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 215-237
Issue: 2
Volume: 46
Year: 2024
Keywords: sequencing; job sequencing; assembly lines; assessing processing time; mixed-model assembly lines; MMAL; processing time; processing time estimation; processing time estimation properties; work overload; makespan.
File-URL: http://www.inderscience.com/link.php?id=136416
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:2:p:215-237

Template-Type: ReDIF-Article 1.0
Author-Name: Deepak Bartwal
Author-X-Name-First: Deepak
Author-X-Name-Last: Bartwal
Author-Name: Rohit Sindhwani
Author-X-Name-First: Rohit
Author-X-Name-Last: Sindhwani
Author-Name: Omkarprasad S. Vaidya
Author-X-Name-First: Omkarprasad S.
Author-X-Name-Last: Vaidya
Title: Improving forecast accuracy for seasonal products in FMCG industry: integration of SARIMA and regression model
Abstract:
Increasing forecast accuracy of seasonal products is very critical as production, inventory and customer service depends on it. There has been introduction of new models, techniques and use of advance data analytics in forecasting, however, considering the complexity of the several causal variables and demand, it has been very difficult to get the consistent accuracy. This paper proposes integrated SARIMA (for non-seasonal component of demand) and regression (for seasonal component of demand) models for improving the forecasting accuracy. Further, we evaluate the performance of the proposed model with other known methods such as, SARIMA, ANN and SARIMAX. The performance is evaluated on various parameters of forecasting error. It is seen that for the empirical data, the proposed method outranks the other methods on all the performance metrics. Further, this paper brings into managerial insights, which can be replicated to various industries, indicating the wide scope of the proposed approach.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 259-279
Issue: 2
Volume: 46
Year: 2024
Keywords: forecasting; insecticide; regression; SARIMA; seasonality.
File-URL: http://www.inderscience.com/link.php?id=136417
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:2:p:259-279

Template-Type: ReDIF-Article 1.0
Author-Name: Olubisi L. Aako
Author-X-Name-First: Olubisi L.
Author-X-Name-Last: Aako
Author-Name: Johnson A. Adewara
Author-X-Name-First: Johnson A.
Author-X-Name-Last: Adewara
Author-Name: Kayode S. Adekeye
Author-X-Name-First: Kayode S.
Author-X-Name-Last: Adekeye
Title: Median and interquartile range control charts based on quantiles of Marshall-Olkin inverse log-logistic distribution
Abstract:
The presence of outliers makes process data deviate from normality and reduces the sensitivity of control charting procedures. This paper proposed a robust method of determining the control limits of &lt;i&gt;X&#772;&lt;/i&gt; and &lt;i&gt;R&lt;/i&gt; charts in the presence of outliers when the data deviates from normality. The quantile of Marshall-Olkin inverse log-logistic distribution (MOILLD) is derived. The quantiles of the distribution are then used to estimate the process location and dispersion for the construction of control limits of median and interquartile range control charts. Control limit interval, false alarm rate, and average run length were used to compare the performance of the proposed control charts with similar control charts in the literature. The results showed that the proposed method detects out-of-control faster than the classical Shewhart control chart and robust control charts whose control limits were based on raw data.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 280-293
Issue: 2
Volume: 46
Year: 2024
Keywords: control charts; interquartile range; inverse log-logistic distribution; median; quantiles; Marshall-Olkin inverse log-logistic distribution; MOILLD.
File-URL: http://www.inderscience.com/link.php?id=136419
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:2:p:280-293

Template-Type: ReDIF-Article 1.0
Author-Name: Zakarya Amara
Author-X-Name-First: Zakarya
Author-X-Name-Last: Amara
Author-Name: Latefa Ghomri
Author-X-Name-First: Latefa
Author-X-Name-Last: Ghomri
Author-Name: Ali Rimouche
Author-X-Name-First: Ali
Author-X-Name-Last: Rimouche
Title: Machine learning for optimisation of flow-rack AS/RS performances
Abstract:
In this paper, we are interested in flow-rack automated storage/ retrieval systems (AS/RS), which are compact AS/RS. For this configuration of AS/RS we propose a new storage method based on machine learning (ML), i.e., ML method that assigns to each incoming load a position in the rack, in such a way, that the retrieval time of this same load will be optimal. In other words, we tidy out the loads inside the rack, In order to facilitate access to each type of loads. Consequently, the total (average) retrieval time in the system is minimised. The choice of ML is mainly due to the fact that the output, which is the minimisation of the average retrieval time, cannot be expressed as a function of the input, which is the choice of the most appropriate cell, for the storage of each incoming load. We compared the proposed model results with other basic storage methods. The obtained results were very satisfactory.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 390-403
Issue: 3
Volume: 46
Year: 2024
Keywords: flow rack AS/RS; retrieval time prediction; supervised machine learning; regression; classification.
File-URL: http://www.inderscience.com/link.php?id=137955
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:3:p:390-403

Template-Type: ReDIF-Article 1.0
Author-Name: Ru Zhang
Author-X-Name-First: Ru
Author-X-Name-Last: Zhang
Author-Name: Zhe Zhang
Author-X-Name-First: Zhe
Author-X-Name-Last: Zhang
Author-Name: Xiaoling Song
Author-X-Name-First: Xiaoling
Author-X-Name-Last: Song
Author-Name: Xiaofang Zhong
Author-X-Name-First: Xiaofang
Author-X-Name-Last: Zhong
Author-Name: Yong Yin
Author-X-Name-First: Yong
Author-X-Name-Last: Yin
Title: <i>Seru</i> scheduling problems with learning effect and job deterioration during an increasing adjustment period
Abstract:
This paper focuses on &lt;i&gt;seru&lt;/i&gt; scheduling problems during an increasing adjustment period considering learning effects and job deteriorations, in which the job's processing time is defined by a function of job position in the processing sequence, adjustment position and effects of learning and deterioration. Each &lt;i&gt;seru&lt;/i&gt; has an increasing adjustment period, which means that the later the adjustment, the longer the duration. Moreover, the &lt;i&gt;seru&lt;/i&gt; will return to its original state and the deterioration effect will restart from new position after adjustment, yet the learning effect keeps growing. The objectives are to minimise the total &lt;i&gt;seru&lt;/i&gt; loads (TSL), the total completion times (TC) and the total absolute deviation in completion times (TADC), respectively. A general exact solution method is proposed and optimal solutions for &lt;i&gt;seru&lt;/i&gt; scheduling problems are obtained. The comprehensive experimental analysis is conducted, and the results demonstrate that the proposed method is able to return high-quality solutions for &lt;i&gt;seru&lt;/i&gt; scheduling problems.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 323-354
Issue: 3
Volume: 46
Year: 2024
Keywords: <i>seru</i> scheduling; learning effect; job deterioration; increasing adjustment period; exact solution method.
File-URL: http://www.inderscience.com/link.php?id=137956
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:3:p:323-354

Template-Type: ReDIF-Article 1.0
Author-Name: Jeffin Johnson
Author-X-Name-First: Jeffin
Author-X-Name-Last: Johnson
Author-Name: V.K. Pramod
Author-X-Name-First: V.K.
Author-X-Name-Last: Pramod
Author-Name: V.R. Pramod
Author-X-Name-First: V.R.
Author-X-Name-Last: Pramod
Title: Analytical hierarchy process-based maintenance quality function deployment integrating total quality management with total productive maintenance and its application in dairy industry
Abstract:
Quality enhancement of the products and services provided by manufacturing enterprises is gaining more and more attention from researchers. This research work leads to the development and implementation of AHP-based maintenance quality function deployment (MQFD) model in the dairy industry. It prioritises and identifies the prominent factors which are involved in the quality performance of the organisation. MQFD model is developed by combining TPM and TQM approaches. AHP was adopted for prioritising the decision alternatives on the basis of the main and sub-factors. Through the evaluation, the local sensitivity of critical factors such as 'increased profit' and 'reliability of decisions' were found to be 0.708 and 0.472, and global sensitivity of the factors such as 'quality of products' and 'TQM tools' were obtained as 0.351 and 0.252. The sensitivity analysis will help the organisation to find the optimum parameter in order to achieve its market goals.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 404-432
Issue: 3
Volume: 46
Year: 2024
Keywords: analytical hierarchy process; AHP; quality function deployment; QFD; total productive maintenance; TPM; total quality management; TQM; maintenance quality function deployment; MQFD.
File-URL: http://www.inderscience.com/link.php?id=137957
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:3:p:404-432

Template-Type: ReDIF-Article 1.0
Author-Name: Chowdhury Jony Moin
Author-X-Name-First: Chowdhury Jony
Author-X-Name-Last: Moin
Author-Name: Mohammad Iqbal
Author-X-Name-First: Mohammad
Author-X-Name-Last: Iqbal
Author-Name: A.B.M. Abdul Malek
Author-X-Name-First: A.B.M. Abdul
Author-X-Name-Last: Malek
Author-Name: Mohammad Muhshin Aziz Khan
Author-X-Name-First: Mohammad Muhshin Aziz
Author-X-Name-Last: Khan
Title: Exploring the manufacturing flexibility issues to build a framework to implement the manufacturing flexibility of a supply chain: a review
Abstract:
Manufacturing flexibility is considered one of the most in-demand properties for manufacturing firms in the present highly competitive markets and uncertain business environment. Implementation of manufacturing flexibility is also difficult. This study aimed to minimise the difficulties in understanding the manufacturing flexibility issues through a review of highly cited scientific articles. The period of the selected articles was from the foundation of the topic (1980) to up-to-date (2021). This study explored and organised manufacturing flexibility components; manufacturing flexibility types, their interrelationships, drivers, sources, and relationship with various exogenous and endogenous issues. Finally, the study suggested a generalised framework for implementing and managing manufacturing flexibility for a homogeneous industry, which would be an easy and systematic approach for decision-makers. The study concluded that to implement the manufacturing flexibility, researchers and practitioners should take a single firm or homogeneous industries of a specific supply chain as an entity rather than heterogeneous industries.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 295-322
Issue: 3
Volume: 46
Year: 2024
Keywords: manufacturing flexibility; environmental uncertainty; homogeneous industries.
File-URL: http://www.inderscience.com/link.php?id=137958
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:3:p:295-322

Template-Type: ReDIF-Article 1.0
Author-Name: Ashkan Mohsenzadeh Ledari
Author-X-Name-First: Ashkan Mohsenzadeh
Author-X-Name-Last: Ledari
Author-Name: Alireza Arshadi Khamseh
Author-X-Name-First: Alireza Arshadi
Author-X-Name-Last: Khamseh
Title: Optimal pricing decisions in a two echelon green/non-green resilient supply chain for substitute and complementary products considering disruption risk
Abstract:
In this paper, a pricing model is presented for substitute and complementary products, where the manufacturers 2 and 3 products are alternatives while manufacturer 1 produces a complimentary product for the others. The first manufacturer produces one green product that increases the tendency of customers for buying this product and its substitutes which brings more costs to the supply chain. Hence, the relationship between the manufacturers and the distributor is modelled by both cooperative and non-cooperative games. In the first model, the whole system works integrally, whereas, in the non-cooperative game, the model is analysed by the Stackelberg equilibrium where the manufacturers have disregarded leaders and the distributor is a follower. Moreover, potential disruption risks between the manufacturer and the distributor are considered in the current paper which means only a percentage of the distributor's order quantity can be fulfilled by the manufacturer during disruption conditions. The optimal prices and the green degree for the products have been achieved parametrically using KKT conditions and finally, a numerical example is presented to describe the model.
Journal: Int. J. of Industrial and Systems Engineering
Pages: 355-389
Issue: 3
Volume: 46
Year: 2024
Keywords: green supply chain; GSC; pricing; green product; substitute product; complementary product; game theory; disruption risk.
File-URL: http://www.inderscience.com/link.php?id=137959
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Handle: RePEc:ids:ijisen:v:46:y:2024:i:3:p:355-389