Pub Date : 2022-05-14DOI: 10.36647/ijsem/09.05.a003
Harvinder Gaddu
The aim of this study was to see how certain yoga exercises affected right and left eye visual acuity. A total of twenty people (N=20) from Ludhiana were chosen to participate in the study. The study was done on a random basis, with participants aged 40 and above. All eyesight samples were taken by an optometrist and assessed in a fully computerized ophthalmology clinic to determine the effect of yoga exercises on right eye visual acuity. Palming, blinking, sideways viewing, rotational viewing, up and down viewing close and far, Tratak, Bhramari pranayama, Neti (jal and raber) The t–test, mean, and standard deviation were used. To test the hypotheses, the level of significance was fixed at 0.05, and P<0.05 was used. The study's findings were explained. Results of the study explicated statistically that there was insignificant difference in Right Eye Female.
{"title":"Effect of selected Yogic Techniques on Visual Acuity among the Rural Adult Population of Ludhiana, Punjab","authors":"Harvinder Gaddu","doi":"10.36647/ijsem/09.05.a003","DOIUrl":"https://doi.org/10.36647/ijsem/09.05.a003","url":null,"abstract":"The aim of this study was to see how certain yoga exercises affected right and left eye visual acuity. A total of twenty people (N=20) from Ludhiana were chosen to participate in the study. The study was done on a random basis, with participants aged 40 and above. All eyesight samples were taken by an optometrist and assessed in a fully computerized ophthalmology clinic to determine the effect of yoga exercises on right eye visual acuity. Palming, blinking, sideways viewing, rotational viewing, up and down viewing close and far, Tratak, Bhramari pranayama, Neti (jal and raber) The t–test, mean, and standard deviation were used. To test the hypotheses, the level of significance was fixed at 0.05, and P<0.05 was used. The study's findings were explained. Results of the study explicated statistically that there was insignificant difference in Right Eye Female.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"275 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2022-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76378205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The organization of physics education based on information and communication technologies helps to create conditions for the effective manifestation of patterns of thinking, to excite the cognitive process. The factor that allows this to be done is the visualization of basic mathematical and physical concepts, processes and phenomena using a computer.
{"title":"Information and Communication Technologies in Physics Lessons","authors":"Yerzhenbek Bulbul, Mukhambetzhan Aisulu, Atabayeva Aruzhan","doi":"10.36647/ijsem/09.04.a002","DOIUrl":"https://doi.org/10.36647/ijsem/09.04.a002","url":null,"abstract":"The organization of physics education based on information and communication technologies helps to create conditions for the effective manifestation of patterns of thinking, to excite the cognitive process. The factor that allows this to be done is the visualization of basic mathematical and physical concepts, processes and phenomena using a computer.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"70 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74128651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-25DOI: 10.36647/ijsem/09.04.a003
Rebika Baruah, A. Das
Bionanocomposites materials are the ideal alternative for petroleum-based products. They solve not only the global warming issue but also the problems of multidrug-resistant pathogens. We have synthesized a biopolymer-based ZnO nanocomposites film by using cellulose as supporting agent and the extract of Livistona jekinsiana as reducing agents. We also utilized the antibacterial property of chitosan and superior delivery property of -cyclodextrin in the synthesis of bionanocomposites. The new and novel cellulose/chitosan/-cyclodextrin/ Livistona jekinsiana/ZnO bionanocomposites film (CCCLZF) as a promising biomedical applicant was utilized for the first time. Several characteristics were performed to confirm the shape, size, structure, chemical composition, morphology, thermal properties, stability of the films, they are UV-Visible spectroscopy, FTIR spectroscopy, XRD pattern, SEM, and TEM images, EDS, TGA, DTA, DLS, and Zeta potential. To study the biomedical property of the CCCLZF; the antimicrobial, antioxidant, and anti-inflammatory activity of the film was examined. Drug delivery of the film was also investigated. All the experiments obtained good purposeful results. Therefore, CCCLZF will be a promising material in the pharmaceutical and food packaging industry
{"title":"Evaluation of Biomedical Activity of ZnO Coated Bionanocomposites Film","authors":"Rebika Baruah, A. Das","doi":"10.36647/ijsem/09.04.a003","DOIUrl":"https://doi.org/10.36647/ijsem/09.04.a003","url":null,"abstract":"Bionanocomposites materials are the ideal alternative for petroleum-based products. They solve not only the global warming issue but also the problems of multidrug-resistant pathogens. We have synthesized a biopolymer-based ZnO nanocomposites film by using cellulose as supporting agent and the extract of Livistona jekinsiana as reducing agents. We also utilized the antibacterial property of chitosan and superior delivery property of -cyclodextrin in the synthesis of bionanocomposites. The new and novel cellulose/chitosan/-cyclodextrin/ Livistona jekinsiana/ZnO bionanocomposites film (CCCLZF) as a promising biomedical applicant was utilized for the first time. Several characteristics were performed to confirm the shape, size, structure, chemical composition, morphology, thermal properties, stability of the films, they are UV-Visible spectroscopy, FTIR spectroscopy, XRD pattern, SEM, and TEM images, EDS, TGA, DTA, DLS, and Zeta potential. To study the biomedical property of the CCCLZF; the antimicrobial, antioxidant, and anti-inflammatory activity of the film was examined. Drug delivery of the film was also investigated. All the experiments obtained good purposeful results. Therefore, CCCLZF will be a promising material in the pharmaceutical and food packaging industry","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"1 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82343755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-25DOI: 10.36647/ijsem/09.04.a004
Yeshwanth S, Bhavana U
This paper focuses on effective inventory management procedures and techniques that can be incorporated in manufacturing sectors. Inventory acts as a backbone of every business operation. It serves as a link between distributors and production line, but because of the COVID -19 pandemic and lockdown imposed, it has disrupted industry operations and also seen disruptions in the availability of raw materials due to lack of supplies from outside vendors. There is a huge impact on production of goods due to delay in supply of raw materials. These disruptions have made companies to have a clear and efficient management of their inventories. This study focuses on several research that suggest various methods and techniques which industries adopt such as ABC, JIT, FSN etc. to manage their inventory in an effective manner and to suggest the best methods that can be used in the tough times of pandemic. Also, this study focuses on different case studies that were carried out in various industries and tries to conclude a best strategy that can be followed during these tough times of the pandemic to maintain a better and optimum inventory without disturbing the company’s production and supply of finished goods.
{"title":"Inventory Management Practices in Manufacturing Industries during the COVID 19: A review","authors":"Yeshwanth S, Bhavana U","doi":"10.36647/ijsem/09.04.a004","DOIUrl":"https://doi.org/10.36647/ijsem/09.04.a004","url":null,"abstract":"This paper focuses on effective inventory management procedures and techniques that can be incorporated in manufacturing sectors. Inventory acts as a backbone of every business operation. It serves as a link between distributors and production line, but because of the COVID -19 pandemic and lockdown imposed, it has disrupted industry operations and also seen disruptions in the availability of raw materials due to lack of supplies from outside vendors. There is a huge impact on production of goods due to delay in supply of raw materials. These disruptions have made companies to have a clear and efficient management of their inventories. This study focuses on several research that suggest various methods and techniques which industries adopt such as ABC, JIT, FSN etc. to manage their inventory in an effective manner and to suggest the best methods that can be used in the tough times of pandemic. Also, this study focuses on different case studies that were carried out in various industries and tries to conclude a best strategy that can be followed during these tough times of the pandemic to maintain a better and optimum inventory without disturbing the company’s production and supply of finished goods.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"92 1","pages":""},"PeriodicalIF":4.8,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83775516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-25DOI: 10.1080/17509653.2022.2055672
S. A. Torabzadeh, Erfan Nejati, A. Aghsami, M. Rabbani
ABSTRACT One of the most critical issues for any production organization to compete in the current competitive business environment is supply chain network design (SCND). Besides, by increasing greenhouse gas emissions, various organizations have imposed many restrictions to prevent the overproduction of these gases in their production planning. This study develops a mathematical model for the location-allocation-inventory problem based on a real case study to design a three-echelon coffee supply chain network. The primary purpose of the problem is to minimize supply chain costs. Minimizing the CO2 emission was also considered to address the increasing eco-friendly challenges. The problem includes various strategic and tactical decisions, such as the number and capacity of manufacturing centers (MCs) and distribution centers (DCs) to be established, how to allocate factories to distribution centers and DCs to customers, material flow throughout the system, and the number of products stored in warehouses. It should be noted the problem's parameters are considered fuzzy to get closer to reality. Finally, by performing several sensitivity analyses, valuable managerial insights were obtained. Applying the developed model to the case study of a coffee company assisted managers in making optimal strategic decisions to establish new MCs and DCs, and reduce CO2 emissions.
{"title":"A dynamic multi-objective green supply chain network design for perishable products in uncertain environments, the coffee industry case study","authors":"S. A. Torabzadeh, Erfan Nejati, A. Aghsami, M. Rabbani","doi":"10.1080/17509653.2022.2055672","DOIUrl":"https://doi.org/10.1080/17509653.2022.2055672","url":null,"abstract":"ABSTRACT One of the most critical issues for any production organization to compete in the current competitive business environment is supply chain network design (SCND). Besides, by increasing greenhouse gas emissions, various organizations have imposed many restrictions to prevent the overproduction of these gases in their production planning. This study develops a mathematical model for the location-allocation-inventory problem based on a real case study to design a three-echelon coffee supply chain network. The primary purpose of the problem is to minimize supply chain costs. Minimizing the CO2 emission was also considered to address the increasing eco-friendly challenges. The problem includes various strategic and tactical decisions, such as the number and capacity of manufacturing centers (MCs) and distribution centers (DCs) to be established, how to allocate factories to distribution centers and DCs to customers, material flow throughout the system, and the number of products stored in warehouses. It should be noted the problem's parameters are considered fuzzy to get closer to reality. Finally, by performing several sensitivity analyses, valuable managerial insights were obtained. Applying the developed model to the case study of a coffee company assisted managers in making optimal strategic decisions to establish new MCs and DCs, and reduce CO2 emissions.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"17 1","pages":"220 - 237"},"PeriodicalIF":4.8,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43259866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-21DOI: 10.1080/17509653.2022.2064356
M. Bhuvanesh Kumar, J. Antony, E. Cudney, S. Furterer, J. Garza‐Reyes, S. Senthil
ABSTRACT Similarity in prioritization of lean tools (LTs) by different frameworks on the same problem is a point of contention. The goal of the present research is to address LT selection problem through two commonly used multi-criteria decision-making approaches, namely the technique for order preference by similarity to ideal solution (TOPSIS) and complex proportional assessment (COPRAS). A framework involving value stream mapping and plant layout through TOPSIS and COPRAS approaches to find the best possible LTs for an automotive accessories manufacturing plant is developed and assessed in this research. The obtained similarity of rankings betweenTOPSIS and COPRAS is 71.42%, and the difference is 28.58%. Based on the assessment, systematic layout planning (SLP) is selected as the most suitable LT and its implementation is elaborated in detail. Significant reductions were obtained in lead time (16.44%), non-value added time (61.03%), transportation distances (40.42%), and waiting time (86%). Additionally, lean implementation resulted in reduced inventory, reduced internal traffic, improved productivity, and improved customer service. The LT selection framework presented in this research work addresses the computational complexity associated with the existing models and allows the segregation of the most preferable and the least preferable criteria which eliminate the criteria weight generation methods.
{"title":"Decision-making through fuzzy TOPSIS and COPRAS approaches for lean tools selection: A case study of automotive accessories manufacturing industry","authors":"M. Bhuvanesh Kumar, J. Antony, E. Cudney, S. Furterer, J. Garza‐Reyes, S. Senthil","doi":"10.1080/17509653.2022.2064356","DOIUrl":"https://doi.org/10.1080/17509653.2022.2064356","url":null,"abstract":"ABSTRACT Similarity in prioritization of lean tools (LTs) by different frameworks on the same problem is a point of contention. The goal of the present research is to address LT selection problem through two commonly used multi-criteria decision-making approaches, namely the technique for order preference by similarity to ideal solution (TOPSIS) and complex proportional assessment (COPRAS). A framework involving value stream mapping and plant layout through TOPSIS and COPRAS approaches to find the best possible LTs for an automotive accessories manufacturing plant is developed and assessed in this research. The obtained similarity of rankings betweenTOPSIS and COPRAS is 71.42%, and the difference is 28.58%. Based on the assessment, systematic layout planning (SLP) is selected as the most suitable LT and its implementation is elaborated in detail. Significant reductions were obtained in lead time (16.44%), non-value added time (61.03%), transportation distances (40.42%), and waiting time (86%). Additionally, lean implementation resulted in reduced inventory, reduced internal traffic, improved productivity, and improved customer service. The LT selection framework presented in this research work addresses the computational complexity associated with the existing models and allows the segregation of the most preferable and the least preferable criteria which eliminate the criteria weight generation methods.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"7 1","pages":"26 - 35"},"PeriodicalIF":4.8,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60059447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-20DOI: 10.1080/17509653.2022.2057366
Chuluunsukh Anudari, YoungSu Yun, M. Gen
ABSTRACT In this paper, a supply chain network (SCN) model which simultaneously considers the disruption risks of facility and route is proposed. As most of conventional studies have focused either on facility disruption solely or on route disruption solely, simultaneously considering the disruption risks of facility and route in the SCN model can reinforce the efficiency and stability for its implementation. The SCN model with the disruption risks is formulated as a nonlinear 0–1 integer programming model, and a hybrid metaheuristic (pGA-VNS) approach which combines genetic algorithm (GA) with variable neighborhood search (VNS) is used for solving the nonlinear 0–1 integer programming model. In numerical experiment, various-sized SCN models with the disruption risks at each stage are presented and they are used for comparing the performance of the pGA-VNS approach with those of some conventional approaches (GA and VNS as single metaheuristic approaches and various GA-VNSs as hybrid metaheuristic approaches). Experimental results show that the pGA-VNS approach outperforms conventional GA, VNS and GA-VNS approaches, and the efficiency and stability of the SCN model with the disruption risks are also proved.
{"title":"Applying GA-VNS approach to supply chain network model with facility and route disruptions","authors":"Chuluunsukh Anudari, YoungSu Yun, M. Gen","doi":"10.1080/17509653.2022.2057366","DOIUrl":"https://doi.org/10.1080/17509653.2022.2057366","url":null,"abstract":"ABSTRACT In this paper, a supply chain network (SCN) model which simultaneously considers the disruption risks of facility and route is proposed. As most of conventional studies have focused either on facility disruption solely or on route disruption solely, simultaneously considering the disruption risks of facility and route in the SCN model can reinforce the efficiency and stability for its implementation. The SCN model with the disruption risks is formulated as a nonlinear 0–1 integer programming model, and a hybrid metaheuristic (pGA-VNS) approach which combines genetic algorithm (GA) with variable neighborhood search (VNS) is used for solving the nonlinear 0–1 integer programming model. In numerical experiment, various-sized SCN models with the disruption risks at each stage are presented and they are used for comparing the performance of the pGA-VNS approach with those of some conventional approaches (GA and VNS as single metaheuristic approaches and various GA-VNSs as hybrid metaheuristic approaches). Experimental results show that the pGA-VNS approach outperforms conventional GA, VNS and GA-VNS approaches, and the efficiency and stability of the SCN model with the disruption risks are also proved.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"17 1","pages":"151 - 165"},"PeriodicalIF":4.8,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43421991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-03DOI: 10.1080/17509653.2021.1982423
J. Delaram, M. Houshmand, Farid Ashtiani, Omid Fatahi Valilai
ABSTRACT Public platforms are one of the most important Cloud Manufacturing modes. Public platforms enable an environment for manufacturers and demanders to freely and directly connect with each other. Exploiting the high potentials of public platforms depends on final matching. This paper has developed a multi-phase matching mechanism for stable and optimal resource allocation in public platform. The proposed mechanism grades the demanders using an intuitionistic fuzzy VIKOR method using three measures of quality, time, and sustainability. Then, the mechanism clusters the demanders based on these three measures; and finally, allocates the clusters using the Deferred Acceptance (DA) algorithm to the manufacturers. The mechanism is examined using a case study from the Iranian automotive industry. The paper has extended and examined the model under three directions of: the grading method impact, clustering analysis impact, and the platform mode impact. Based on the experiments, the intuitionistic fuzzy TOPSIS-DA results on average 4.34% better outcome rather than the intuitionistic fuzzy VIKOR-DA. The proposed heuristic and optimized clustering method results on average 1.09% better solution rather than the KM clustering method. Also, the analysis of the PoS reveals that a private platform yields on average 10% better utility rather than a public platform.
{"title":"Multi-phase matching mechanism for stable and optimal resource allocation in cloud manufacturing platforms Using IF-VIKOR method and deferred acceptance algorithm","authors":"J. Delaram, M. Houshmand, Farid Ashtiani, Omid Fatahi Valilai","doi":"10.1080/17509653.2021.1982423","DOIUrl":"https://doi.org/10.1080/17509653.2021.1982423","url":null,"abstract":"ABSTRACT Public platforms are one of the most important Cloud Manufacturing modes. Public platforms enable an environment for manufacturers and demanders to freely and directly connect with each other. Exploiting the high potentials of public platforms depends on final matching. This paper has developed a multi-phase matching mechanism for stable and optimal resource allocation in public platform. The proposed mechanism grades the demanders using an intuitionistic fuzzy VIKOR method using three measures of quality, time, and sustainability. Then, the mechanism clusters the demanders based on these three measures; and finally, allocates the clusters using the Deferred Acceptance (DA) algorithm to the manufacturers. The mechanism is examined using a case study from the Iranian automotive industry. The paper has extended and examined the model under three directions of: the grading method impact, clustering analysis impact, and the platform mode impact. Based on the experiments, the intuitionistic fuzzy TOPSIS-DA results on average 4.34% better outcome rather than the intuitionistic fuzzy VIKOR-DA. The proposed heuristic and optimized clustering method results on average 1.09% better solution rather than the KM clustering method. Also, the analysis of the PoS reveals that a private platform yields on average 10% better utility rather than a public platform.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"17 1","pages":"103 - 111"},"PeriodicalIF":4.8,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43067618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-25DOI: 10.1080/17509653.2021.1937366
Anis Saadi, P. Fattahi, Donya Rahmanii, Seyed Mohammad Hassan Hosseini, S. Sana
ABSTRACT The study proposes an exact method based on the Benders decomposition approach to solve the sequencing problem of the mixed-model assembly line considering feeding lines. A mathematical model is presented and linearized that is capable of solving the small-size scales of the problem. Since the problem is well known as a strongly NP-hard problem, appropriate methods can improve the effectiveness of the outcomes of the model. Therefore, we introduce a Benders decomposition method, which can solve the proposed problem on the medium and large scales. Moreover, a proper accelerator is presented to enhance the performance of the proposed method and to reduce computational time. The outcomes show that the proposed method can provide solutions with a maximum of 4.47% deviation from the optimal for small-scale instances. The result indicates the success of this exact method in solving the problem with different dimensions. In addition, comparing results emphasized that the accelerator used can reduce iterations up to 24% to provide the final solution.
{"title":"An exact method for job sequencing in a mixed-model assembly line considering feeding lines based on the Benders decomposition approach","authors":"Anis Saadi, P. Fattahi, Donya Rahmanii, Seyed Mohammad Hassan Hosseini, S. Sana","doi":"10.1080/17509653.2021.1937366","DOIUrl":"https://doi.org/10.1080/17509653.2021.1937366","url":null,"abstract":"ABSTRACT The study proposes an exact method based on the Benders decomposition approach to solve the sequencing problem of the mixed-model assembly line considering feeding lines. A mathematical model is presented and linearized that is capable of solving the small-size scales of the problem. Since the problem is well known as a strongly NP-hard problem, appropriate methods can improve the effectiveness of the outcomes of the model. Therefore, we introduce a Benders decomposition method, which can solve the proposed problem on the medium and large scales. Moreover, a proper accelerator is presented to enhance the performance of the proposed method and to reduce computational time. The outcomes show that the proposed method can provide solutions with a maximum of 4.47% deviation from the optimal for small-scale instances. The result indicates the success of this exact method in solving the problem with different dimensions. In addition, comparing results emphasized that the accelerator used can reduce iterations up to 24% to provide the final solution.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"17 1","pages":"79 - 92"},"PeriodicalIF":4.8,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42714212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-17DOI: 10.1080/17509653.2022.2043196
Atieh Namazi, M. Khodabakhshi
ABSTRACT The present study is concerned with fair allocation of a resource to sectors to achieve the best accomplishments based on some criteria divided into merits and demerits of the sectors. There is a method similar to the idea of -value in cooperative games with a selfish-modest approach that allows the sectors to selfishly and modestly choose their shares. In order to improve this method, another method using the Shapley value approach is proposed in this study that allows the sectors in different orders to selfishly or modestly choose their shares. These two methods are applied to invest among economic sectors in Iran. To compare the methods, the distance of their solutions to the Pareto frontier of the multi-objective problem is measured while considering the allocation fairness. It was concluded that the solution of the proposed method is greatly close to the Pareto frontier.
{"title":"A novel game theoretic method on fair economic resource allocation with multiple Criteria","authors":"Atieh Namazi, M. Khodabakhshi","doi":"10.1080/17509653.2022.2043196","DOIUrl":"https://doi.org/10.1080/17509653.2022.2043196","url":null,"abstract":"ABSTRACT The present study is concerned with fair allocation of a resource to sectors to achieve the best accomplishments based on some criteria divided into merits and demerits of the sectors. There is a method similar to the idea of -value in cooperative games with a selfish-modest approach that allows the sectors to selfishly and modestly choose their shares. In order to improve this method, another method using the Shapley value approach is proposed in this study that allows the sectors in different orders to selfishly or modestly choose their shares. These two methods are applied to invest among economic sectors in Iran. To compare the methods, the distance of their solutions to the Pareto frontier of the multi-objective problem is measured while considering the allocation fairness. It was concluded that the solution of the proposed method is greatly close to the Pareto frontier.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":"18 1","pages":"170 - 176"},"PeriodicalIF":4.8,"publicationDate":"2022-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60059245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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