Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA Approach
A comprehensive and integrated study of any supply chain (SC) environment is a vital requirement that can create various advantages for the SC owners. This consideration causes productive managing of the SC through its whole wide components from upstream suppliers to downstream retailers and custome...
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| Format: | Article |
| Language: | English |
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Islamic Azad University, Qazvin Branch
2014-12-01
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| Series: | Journal of Optimization in Industrial Engineering |
| Subjects: | |
| Online Access: | http://www.qjie.ir/article_166_6438c67491afd5cd17a2feef05b9635e.pdf |
| _version_ | 1817991492566777856 |
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| author | Seyed Habib A. Rahmati Abbas Ahmadi Behrooz Karimi |
| author_facet | Seyed Habib A. Rahmati Abbas Ahmadi Behrooz Karimi |
| author_sort | Seyed Habib A. Rahmati |
| collection | DOAJ |
| description | A comprehensive and integrated study of any supply chain (SC) environment is a vital requirement that can create various advantages for the SC owners. This consideration causes productive managing of the SC through its whole wide components from upstream suppliers to downstream retailers and customers. On this issue, despite many valuable studies reported in the current literature, considerable gaps still prevail. These gaps include integration and insertion of basic concepts, such as queuing theory, facility location, inventory management, or even fuzzy theory, as well as other new concepts such as strategic planning, data mining, business intelligence, and information technology. This study seeks to address some of these gaps. To do so, it proposes an integrated four-echelon multi-period multi-objective SC model. To make the model closer to the real world problems, it is also composed of inventory and facility location planning, simultaneously. The proposed model has a mixed integer linear programming (MILP) structure. The objectives of the model are reducing cost and minimizing the non-fill rate of customer zones demand. The cost reduction part includes cost values of raw material shipping from suppliers to plants, plant location, inventory holding costs in plants, distribution cost from plants to warehouses or distribution centers (DCs), and shipping costs from DCs to customer zones. Finally, since the literature of SC lacks efficient Pareto-based multi-objective evolutionary algorithms (MOEAs), a new multi-objective version of the biogeography-based optimization algorithm (MOBBO) is introduced to the literature of the SC. The efficiency of the algorithm is proved through its comparison with an existing algorithm called multi-objective harmony search (MOHS). |
| first_indexed | 2024-04-14T01:14:02Z |
| format | Article |
| id | doaj.art-40def1ab03e14cd7ae921fb9feb52731 |
| institution | Directory Open Access Journal |
| issn | 2251-9904 2423-3935 |
| language | English |
| last_indexed | 2024-04-14T01:14:02Z |
| publishDate | 2014-12-01 |
| publisher | Islamic Azad University, Qazvin Branch |
| record_format | Article |
| series | Journal of Optimization in Industrial Engineering |
| spelling | doaj.art-40def1ab03e14cd7ae921fb9feb527312022-12-22T02:20:56ZengIslamic Azad University, Qazvin BranchJournal of Optimization in Industrial Engineering2251-99042423-39352014-12-017168399166Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA ApproachSeyed Habib A. Rahmati0Abbas Ahmadi1Behrooz Karimi2PhD Candidate, Industrial Engineering Department, Amirkabir University of Technology, Tehran, IranAssistant Professor, Industrial Engineering Department, Amirkabir University of Technology, Tehran, IranAssociate Professor, Industrial Engineering Department, Amirkabir University of Technology, Tehran, IranA comprehensive and integrated study of any supply chain (SC) environment is a vital requirement that can create various advantages for the SC owners. This consideration causes productive managing of the SC through its whole wide components from upstream suppliers to downstream retailers and customers. On this issue, despite many valuable studies reported in the current literature, considerable gaps still prevail. These gaps include integration and insertion of basic concepts, such as queuing theory, facility location, inventory management, or even fuzzy theory, as well as other new concepts such as strategic planning, data mining, business intelligence, and information technology. This study seeks to address some of these gaps. To do so, it proposes an integrated four-echelon multi-period multi-objective SC model. To make the model closer to the real world problems, it is also composed of inventory and facility location planning, simultaneously. The proposed model has a mixed integer linear programming (MILP) structure. The objectives of the model are reducing cost and minimizing the non-fill rate of customer zones demand. The cost reduction part includes cost values of raw material shipping from suppliers to plants, plant location, inventory holding costs in plants, distribution cost from plants to warehouses or distribution centers (DCs), and shipping costs from DCs to customer zones. Finally, since the literature of SC lacks efficient Pareto-based multi-objective evolutionary algorithms (MOEAs), a new multi-objective version of the biogeography-based optimization algorithm (MOBBO) is introduced to the literature of the SC. The efficiency of the algorithm is proved through its comparison with an existing algorithm called multi-objective harmony search (MOHS).http://www.qjie.ir/article_166_6438c67491afd5cd17a2feef05b9635e.pdfIntegrated supply chain managementProduction-distributionFacility location probleminventory balancingPlanning problemMOBBOMOHS |
| spellingShingle | Seyed Habib A. Rahmati Abbas Ahmadi Behrooz Karimi Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA Approach Journal of Optimization in Industrial Engineering Integrated supply chain management Production-distribution Facility location problem inventory balancing Planning problem MOBBO MOHS |
| title | Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA Approach |
| title_full | Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA Approach |
| title_fullStr | Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA Approach |
| title_full_unstemmed | Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA Approach |
| title_short | Facility Location and Inventory Balancing in a Multi-period Multi-echelon Multi-objective Supply Chain: An MOEA Approach |
| title_sort | facility location and inventory balancing in a multi period multi echelon multi objective supply chain an moea approach |
| topic | Integrated supply chain management Production-distribution Facility location problem inventory balancing Planning problem MOBBO MOHS |
| url | http://www.qjie.ir/article_166_6438c67491afd5cd17a2feef05b9635e.pdf |
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