A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm
This paper discusses the integrated scheduling of production and distribution operations in a multifactory supply chain with make-to-order production system. For the production side of the supply chain, we considered distributed parallel-established factories with identical parallel machines availab...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/5120640 |
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| author | Vahid Abdollahzadeh Isa Nakhaikamalabadi Seyyed Mohammad Hajimolana Seyyed Hesamoddin Zegordi |
| author_facet | Vahid Abdollahzadeh Isa Nakhaikamalabadi Seyyed Mohammad Hajimolana Seyyed Hesamoddin Zegordi |
| author_sort | Vahid Abdollahzadeh |
| collection | DOAJ |
| description | This paper discusses the integrated scheduling of production and distribution operations in a multifactory supply chain with make-to-order production system. For the production side of the supply chain, we considered distributed parallel-established factories with identical parallel machines available at each factory. We assumed that the factories could produce all customers’ orders with different production rates and costs. For the distribution side of the supply chain, we considered a limited number of homogeneous vehicles that immediately distribute the finalized orders to the customers. Then, a mixed-integer nonlinear programming model is developed to determine the detailed scheduling of production and distribution that minimizes the total costs of the supply chain including production, distribution, and late delivery costs. To solve the real-world scale problems, we developed a new whale optimization algorithm (WOA). Moreover, we conducted computational experiments by generating several test problems to evaluate the proposed algorithm. Statistical analysis showed that the proposed algorithm has better performance than traditional WOA for different scales of the problem. Moreover, it confirms the capability of the improved whale optimization algorithm (IWOA) to solve the medium-scale instances; however, the results indicate the better performance of genetic algorithm (GA) for the large-scale instances. |
| format | Article |
| id | doaj-art-a96352dcd07247f6a21d7f7ffb17aa67 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-a96352dcd07247f6a21d7f7ffb17aa672025-02-03T01:10:56ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/51206405120640A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization AlgorithmVahid Abdollahzadeh0Isa Nakhaikamalabadi1Seyyed Mohammad Hajimolana2Seyyed Hesamoddin Zegordi3Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Industrial Engineering, University of Kurdistan, Sanandaj, IranDepartment of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Industrial Engineering, Tarbiat Modares University (TMU), Tehran, IranThis paper discusses the integrated scheduling of production and distribution operations in a multifactory supply chain with make-to-order production system. For the production side of the supply chain, we considered distributed parallel-established factories with identical parallel machines available at each factory. We assumed that the factories could produce all customers’ orders with different production rates and costs. For the distribution side of the supply chain, we considered a limited number of homogeneous vehicles that immediately distribute the finalized orders to the customers. Then, a mixed-integer nonlinear programming model is developed to determine the detailed scheduling of production and distribution that minimizes the total costs of the supply chain including production, distribution, and late delivery costs. To solve the real-world scale problems, we developed a new whale optimization algorithm (WOA). Moreover, we conducted computational experiments by generating several test problems to evaluate the proposed algorithm. Statistical analysis showed that the proposed algorithm has better performance than traditional WOA for different scales of the problem. Moreover, it confirms the capability of the improved whale optimization algorithm (IWOA) to solve the medium-scale instances; however, the results indicate the better performance of genetic algorithm (GA) for the large-scale instances.http://dx.doi.org/10.1155/2018/5120640 |
| spellingShingle | Vahid Abdollahzadeh Isa Nakhaikamalabadi Seyyed Mohammad Hajimolana Seyyed Hesamoddin Zegordi A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm Complexity |
| title | A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm |
| title_full | A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm |
| title_fullStr | A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm |
| title_full_unstemmed | A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm |
| title_short | A Multifactory Integrated Production and Distribution Scheduling Problem with Parallel Machines and Immediate Shipments Solved by Improved Whale Optimization Algorithm |
| title_sort | multifactory integrated production and distribution scheduling problem with parallel machines and immediate shipments solved by improved whale optimization algorithm |
| url | http://dx.doi.org/10.1155/2018/5120640 |
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