A novel approach toward coordinated inventory management of an agile multi-echelon multi-product supply chain
Inventory control systems development is one of the most appealing issues of the supply chain management which have recently been studied by academicians and practitioners. In this paper, an inventory management framework and deterministic cost models within the context of this framework are structu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2015-12-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311916.2015.1025596 |
| _version_ | 1797766449800937472 |
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| author | Maryam Alimardani Hamed Rafiei Masoud Rabbani |
| author_facet | Maryam Alimardani Hamed Rafiei Masoud Rabbani |
| author_sort | Maryam Alimardani |
| collection | DOAJ |
| description | Inventory control systems development is one of the most appealing issues of the supply chain management which have recently been studied by academicians and practitioners. In this paper, an inventory management framework and deterministic cost models within the context of this framework are structured for effective supply chain (SC) in an agile environment. To do so, we propose a three-echelon multi-product SC including multiple suppliers, multiple manufacturing firms, and multiple retailers. Moreover, a fuzzy-ANP framework is employed to evaluate suppliers’ agility level and to elicit suitable suppliers aiming at achieving an agile network. To develop operational measures of SC flexibility, a cost structure is defined which captures some different operational cost factors including inventory holding, backordering, lost sell, and ordering costs. Furthermore, a hybrid metaheuristic algorithm is developed to tackle the computational complexity of a production-inventory planning task. Finally, numerical experiments validate the proposed solution methodology. |
| first_indexed | 2024-03-12T20:25:28Z |
| format | Article |
| id | doaj.art-7a27bd9d786e4a789f852c269da3cb98 |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-03-12T20:25:28Z |
| publishDate | 2015-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-7a27bd9d786e4a789f852c269da3cb982023-08-02T00:34:53ZengTaylor & Francis GroupCogent Engineering2331-19162015-12-012110.1080/23311916.2015.10255961025596A novel approach toward coordinated inventory management of an agile multi-echelon multi-product supply chainMaryam Alimardani0Hamed Rafiei1Masoud Rabbani2College of Engineering, University of TehranCollege of Engineering, University of TehranCollege of Engineering, University of TehranInventory control systems development is one of the most appealing issues of the supply chain management which have recently been studied by academicians and practitioners. In this paper, an inventory management framework and deterministic cost models within the context of this framework are structured for effective supply chain (SC) in an agile environment. To do so, we propose a three-echelon multi-product SC including multiple suppliers, multiple manufacturing firms, and multiple retailers. Moreover, a fuzzy-ANP framework is employed to evaluate suppliers’ agility level and to elicit suitable suppliers aiming at achieving an agile network. To develop operational measures of SC flexibility, a cost structure is defined which captures some different operational cost factors including inventory holding, backordering, lost sell, and ordering costs. Furthermore, a hybrid metaheuristic algorithm is developed to tackle the computational complexity of a production-inventory planning task. Finally, numerical experiments validate the proposed solution methodology.http://dx.doi.org/10.1080/23311916.2015.1025596inventory managementmulti-echelon multi-product inventory modelsagile supply chainfuzzy analytic network processdifferential evolution algorithmparticle swarm optimization |
| spellingShingle | Maryam Alimardani Hamed Rafiei Masoud Rabbani A novel approach toward coordinated inventory management of an agile multi-echelon multi-product supply chain Cogent Engineering inventory management multi-echelon multi-product inventory models agile supply chain fuzzy analytic network process differential evolution algorithm particle swarm optimization |
| title | A novel approach toward coordinated inventory management of an agile multi-echelon multi-product supply chain |
| title_full | A novel approach toward coordinated inventory management of an agile multi-echelon multi-product supply chain |
| title_fullStr | A novel approach toward coordinated inventory management of an agile multi-echelon multi-product supply chain |
| title_full_unstemmed | A novel approach toward coordinated inventory management of an agile multi-echelon multi-product supply chain |
| title_short | A novel approach toward coordinated inventory management of an agile multi-echelon multi-product supply chain |
| title_sort | novel approach toward coordinated inventory management of an agile multi echelon multi product supply chain |
| topic | inventory management multi-echelon multi-product inventory models agile supply chain fuzzy analytic network process differential evolution algorithm particle swarm optimization |
| url | http://dx.doi.org/10.1080/23311916.2015.1025596 |
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