Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty
ABSTRACT: This paper proposes a novel fuzzy mathematical model for a distribution network design problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode of transportation green supply chain system. The three purposes of the model are to minimise total network...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co. Ltd.
2022-01-01
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| Series: | Sustainable Operations and Computers |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666412722000058 |
| _version_ | 1828086143785107456 |
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| author | Azam Boskabadi Mirpouya Mirmozaffari Reza Yazdani Ali Farahani |
| author_facet | Azam Boskabadi Mirpouya Mirmozaffari Reza Yazdani Ali Farahani |
| author_sort | Azam Boskabadi |
| collection | DOAJ |
| description | ABSTRACT: This paper proposes a novel fuzzy mathematical model for a distribution network design problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode of transportation green supply chain system. The three purposes of the model are to minimise total network cost, maximise net profit per capita for each human resource, and diminish CO2 emission throughout the network. P-hub median location with multiple allocations is used for locating the distribution centres. One scenario is designed for fuzzy customer demands with a trapezoidal membership function. Furthermore, the model determines the design of the network (selecting the optimum numbers, locations of plants, and distribution centres to open), finding the best strategy for material transportation through the network with the availability of different transportation modes, the capacities level of the facilities (plants or distribution centres (DCs)), and the number of outsourced products. Finally, all uncertain customer demands for all product types can be satisfied based on the methods mentioned above. This multi-objective mixed-integer non-linear mathematical model is solved by NSGA-II, MOPSO and a hybrid meta-heuristic algorithm. The results show that NSGA-II is the exclusive algorithm that obtains the best result according to the evaluation criteria. |
| first_indexed | 2024-04-11T04:51:14Z |
| format | Article |
| id | doaj.art-9676b0064a074ec7b8545f65c073c558 |
| institution | Directory Open Access Journal |
| issn | 2666-4127 |
| language | English |
| last_indexed | 2024-04-11T04:51:14Z |
| publishDate | 2022-01-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Sustainable Operations and Computers |
| spelling | doaj.art-9676b0064a074ec7b8545f65c073c5582022-12-27T04:37:44ZengKeAi Communications Co. Ltd.Sustainable Operations and Computers2666-41272022-01-013226237Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand UncertaintyAzam Boskabadi0Mirpouya Mirmozaffari1Reza Yazdani2Ali Farahani3Department of Finance and Management Science, Carson College of Business, Washington State University, Pullman, WA, USADepartment of Industrial Engineering, Dalhousie University, 5269 Morris Street, Halifax, NS B3H 4R2, Canada; Corresponding author.Technical and Vocational University (TVU), Department of Accounting, Tehran, IranComputational Analysis and Modelling, Louisiana Tech University, Ruston, LA, USAABSTRACT: This paper proposes a novel fuzzy mathematical model for a distribution network design problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode of transportation green supply chain system. The three purposes of the model are to minimise total network cost, maximise net profit per capita for each human resource, and diminish CO2 emission throughout the network. P-hub median location with multiple allocations is used for locating the distribution centres. One scenario is designed for fuzzy customer demands with a trapezoidal membership function. Furthermore, the model determines the design of the network (selecting the optimum numbers, locations of plants, and distribution centres to open), finding the best strategy for material transportation through the network with the availability of different transportation modes, the capacities level of the facilities (plants or distribution centres (DCs)), and the number of outsourced products. Finally, all uncertain customer demands for all product types can be satisfied based on the methods mentioned above. This multi-objective mixed-integer non-linear mathematical model is solved by NSGA-II, MOPSO and a hybrid meta-heuristic algorithm. The results show that NSGA-II is the exclusive algorithm that obtains the best result according to the evaluation criteria.http://www.sciencedirect.com/science/article/pii/S2666412722000058Supply Chain ManagementDistribution NetworkHub LocationHuman ResourceNSGA-II, hybrid meta-heuristic and MOPSO algorithmsCO2 emission |
| spellingShingle | Azam Boskabadi Mirpouya Mirmozaffari Reza Yazdani Ali Farahani Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty Sustainable Operations and Computers Supply Chain Management Distribution Network Hub Location Human Resource NSGA-II, hybrid meta-heuristic and MOPSO algorithms CO2 emission |
| title | Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty |
| title_full | Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty |
| title_fullStr | Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty |
| title_full_unstemmed | Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty |
| title_short | Design of a Distribution Network in a Multi-product, Multi-period Green Supply Chain System Under Demand Uncertainty |
| title_sort | design of a distribution network in a multi product multi period green supply chain system under demand uncertainty |
| topic | Supply Chain Management Distribution Network Hub Location Human Resource NSGA-II, hybrid meta-heuristic and MOPSO algorithms CO2 emission |
| url | http://www.sciencedirect.com/science/article/pii/S2666412722000058 |
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