A Multi-Objective Optimization Model For Location-Inventory-Routing Problem in a Multi-Echelon Supply Chain Network Considering Maximum Demand Coverage
Today, intense competition in global markets has forced companies to design and manage of supply chains in a better way. Since the role of three factors: location, routing and inventory is important to continue the life of a supply chain so, integration of these three elements will create an efficie...
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2019-03-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_9612_eaa903d1a99451c5cb7cad481ec603b7.pdf |
| _version_ | 1827391913972465664 |
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| author | Behnam Vahdani محمد حسین طاهروردی |
| author_facet | Behnam Vahdani محمد حسین طاهروردی |
| author_sort | Behnam Vahdani |
| collection | DOAJ |
| description | Today, intense competition in global markets has forced companies to design and manage of supply chains in a better way. Since the role of three factors: location, routing and inventory is important to continue the life of a supply chain so, integration of these three elements will create an efficient and effective supply chain. In this study, we investigate the problem of supply chain network design that including routing and inventory problem consist of flow allocation, vehicle routing between facilities, locating distribution centers and also consider the maximum coverage for respond to customer demand. Proposed mathematical model is a nonlinear mixed integer programming model for location-routing-inventory problem in the four-echelon supply chain by considering the multiple conflicting goals of total cost, travel time and maximum coverage. In order to solve the proposed model, three meta-heuristic algorithms (MOPSO, MSGA_II and NRGA) has been used. The accuracy of mathematical model and proposed algorithms are evaluated through numerical examples |
| first_indexed | 2024-03-08T17:22:16Z |
| format | Article |
| id | doaj.art-f085075b75304d76847438ead0894fe5 |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:22:16Z |
| publishDate | 2019-03-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-f085075b75304d76847438ead0894fe52024-01-03T04:45:17ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2019-03-01175223928610.22054/jims.2017.19172.16809612A Multi-Objective Optimization Model For Location-Inventory-Routing Problem in a Multi-Echelon Supply Chain Network Considering Maximum Demand CoverageBehnam Vahdani0محمد حسین طاهروردی1هیئت علمی دانشگاه آزاد اسلامی قزوین، دانشکده مهندسی صنایع و مکانیککارشناسی ارشد، مهندسی صنایع، دانشکده مهندسی صنایع و مکانیک، دانشگاه آزاد اسلامی، واحد قزوینToday, intense competition in global markets has forced companies to design and manage of supply chains in a better way. Since the role of three factors: location, routing and inventory is important to continue the life of a supply chain so, integration of these three elements will create an efficient and effective supply chain. In this study, we investigate the problem of supply chain network design that including routing and inventory problem consist of flow allocation, vehicle routing between facilities, locating distribution centers and also consider the maximum coverage for respond to customer demand. Proposed mathematical model is a nonlinear mixed integer programming model for location-routing-inventory problem in the four-echelon supply chain by considering the multiple conflicting goals of total cost, travel time and maximum coverage. In order to solve the proposed model, three meta-heuristic algorithms (MOPSO, MSGA_II and NRGA) has been used. The accuracy of mathematical model and proposed algorithms are evaluated through numerical exampleshttps://jims.atu.ac.ir/article_9612_eaa903d1a99451c5cb7cad481ec603b7.pdflocationroutingsupply chaininventorymeta-heuristic algorithm |
| spellingShingle | Behnam Vahdani محمد حسین طاهروردی A Multi-Objective Optimization Model For Location-Inventory-Routing Problem in a Multi-Echelon Supply Chain Network Considering Maximum Demand Coverage Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī location routing supply chain inventory meta-heuristic algorithm |
| title | A Multi-Objective Optimization Model For Location-Inventory-Routing Problem in a Multi-Echelon Supply Chain Network Considering Maximum Demand Coverage |
| title_full | A Multi-Objective Optimization Model For Location-Inventory-Routing Problem in a Multi-Echelon Supply Chain Network Considering Maximum Demand Coverage |
| title_fullStr | A Multi-Objective Optimization Model For Location-Inventory-Routing Problem in a Multi-Echelon Supply Chain Network Considering Maximum Demand Coverage |
| title_full_unstemmed | A Multi-Objective Optimization Model For Location-Inventory-Routing Problem in a Multi-Echelon Supply Chain Network Considering Maximum Demand Coverage |
| title_short | A Multi-Objective Optimization Model For Location-Inventory-Routing Problem in a Multi-Echelon Supply Chain Network Considering Maximum Demand Coverage |
| title_sort | multi objective optimization model for location inventory routing problem in a multi echelon supply chain network considering maximum demand coverage |
| topic | location routing supply chain inventory meta-heuristic algorithm |
| url | https://jims.atu.ac.ir/article_9612_eaa903d1a99451c5cb7cad481ec603b7.pdf |
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