Multi-Objective Inventory-Location-Routing Problem, with Multiple Suppliers and Perishable Products using Scenario-Based Approach
In this paper, a three-echelon supply chain, consisting a number of suppliers, distribution centers (DCs), and retailers (customers) is modeled as an integrated bi-objective inventory- location – routing problem (ILRP) which, perishable products are delivered to the customers through DCs in a limite...
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2020-03-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| Subjects: | |
| Online Access: | https://jims.atu.ac.ir/article_10972_90077631c52be9459e5e64f611a02907.pdf |
| _version_ | 1797367675370864640 |
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| author | Zahra Rafiee-Majd Hamidreza Pasandideh |
| author_facet | Zahra Rafiee-Majd Hamidreza Pasandideh |
| author_sort | Zahra Rafiee-Majd |
| collection | DOAJ |
| description | In this paper, a three-echelon supply chain, consisting a number of suppliers, distribution centers (DCs), and retailers (customers) is modeled as an integrated bi-objective inventory- location – routing problem (ILRP) which, perishable products are delivered to the customers through DCs in a limited time horizon, consisting of several time periods. The retailers’ demand is stochastic and is applied on the model by the concept of discrete scenario. The transportation fleet is heterogeneous, and distribution centers use a timetable, which will prevent interference of the vehicles operation and allocation of a vehicle to more than one distribution center in each time period. Three methods of calculating the distance to the ideal point are used in to solve and analysis the model. At the end, besides concluding the discussion, recommendations are made for future studies. |
| first_indexed | 2024-03-08T17:20:42Z |
| format | Article |
| id | doaj.art-4f5194aa005d497c8d0d20d54e05e75c |
| institution | Directory Open Access Journal |
| issn | 2251-8029 2476-602X |
| language | fas |
| last_indexed | 2024-03-08T17:20:42Z |
| publishDate | 2020-03-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
| spelling | doaj.art-4f5194aa005d497c8d0d20d54e05e75c2024-01-03T04:45:37ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2020-03-01185617120710.22054/jims.2017.24916.185910972Multi-Objective Inventory-Location-Routing Problem, with Multiple Suppliers and Perishable Products using Scenario-Based ApproachZahra Rafiee-Majd0Hamidreza Pasandideh1Kharazmi University,Faculty of Engineering,Department of industrial engineeringAssociate Professor, Faculty of Industrial Engineering, University of Kharazmi, Tehran, IranIn this paper, a three-echelon supply chain, consisting a number of suppliers, distribution centers (DCs), and retailers (customers) is modeled as an integrated bi-objective inventory- location – routing problem (ILRP) which, perishable products are delivered to the customers through DCs in a limited time horizon, consisting of several time periods. The retailers’ demand is stochastic and is applied on the model by the concept of discrete scenario. The transportation fleet is heterogeneous, and distribution centers use a timetable, which will prevent interference of the vehicles operation and allocation of a vehicle to more than one distribution center in each time period. Three methods of calculating the distance to the ideal point are used in to solve and analysis the model. At the end, besides concluding the discussion, recommendations are made for future studies.https://jims.atu.ac.ir/article_10972_90077631c52be9459e5e64f611a02907.pdfintegrated inventory-location-routing problemperishable productsscenariomulti-objective optimization |
| spellingShingle | Zahra Rafiee-Majd Hamidreza Pasandideh Multi-Objective Inventory-Location-Routing Problem, with Multiple Suppliers and Perishable Products using Scenario-Based Approach Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī integrated inventory-location-routing problem perishable products scenario multi-objective optimization |
| title | Multi-Objective Inventory-Location-Routing Problem, with Multiple Suppliers and Perishable Products using Scenario-Based Approach |
| title_full | Multi-Objective Inventory-Location-Routing Problem, with Multiple Suppliers and Perishable Products using Scenario-Based Approach |
| title_fullStr | Multi-Objective Inventory-Location-Routing Problem, with Multiple Suppliers and Perishable Products using Scenario-Based Approach |
| title_full_unstemmed | Multi-Objective Inventory-Location-Routing Problem, with Multiple Suppliers and Perishable Products using Scenario-Based Approach |
| title_short | Multi-Objective Inventory-Location-Routing Problem, with Multiple Suppliers and Perishable Products using Scenario-Based Approach |
| title_sort | multi objective inventory location routing problem with multiple suppliers and perishable products using scenario based approach |
| topic | integrated inventory-location-routing problem perishable products scenario multi-objective optimization |
| url | https://jims.atu.ac.ir/article_10972_90077631c52be9459e5e64f611a02907.pdf |
| work_keys_str_mv | AT zahrarafieemajd multiobjectiveinventorylocationroutingproblemwithmultiplesuppliersandperishableproductsusingscenariobasedapproach AT hamidrezapasandideh multiobjectiveinventorylocationroutingproblemwithmultiplesuppliersandperishableproductsusingscenariobasedapproach |