Synchronized Production and Transportation Planning Using Subcontracted Vehicles in a Production-Distribution Network |
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Authors: | Jiafu Tang Kai-Leung Yung Andrew W. H. Ip Shixin Liu |
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Affiliation: | 1. Key Laboratory of Integrated Automation of Process Industry of MOE , Northeastern University , Shenyang, P. R. China jftang@mail.neu.edu.cn;3. Department of Industrial and Systems Engineering , The Hong Kong Polytechnic University , Hung Hom, Hong Kong;4. Key Laboratory of Integrated Automation of Process Industry of MOE , Northeastern University , Shenyang, P. R. China |
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Abstract: | Abstract Effective management of interfaces between procurement, supply, production and distribution for higher efficiency in the supply chain is an important issue in global manufacturing, where the synchronization of production and transportation planning represents important savings in operational costs. This paper focuses on the synchronization of production planning and transportation planning in a production distribution network, where transportation is subcontracted to a professional transportation enterprise (PTE) for vehicle-hiring. Dynamic and flexible numbers of vehicles are used to cater for fast changing market demands. Thus, the number of vehicles to be hired is viewed from the planning point of view as an operational decision considered simultaneously with production and transportation planning. A mathematical model – SPTP/MTDS – for synchronized production and transportation planning under multiple times and direct shipping strategy (MTDS) is discussed, and a Lagrange relaxation decomposition-based two layer decision procedure (LRD-TLDP) is developed. By introducing artificial decision variables and Lagrange multipliers, SPTP/MTDS is decomposed into a production decision sub-problem (SPTP-PD), and a distribution decision sub-problem (SPTP-DD). A priority-based assignment heuristic and a partial chain-based genetic algorithm are developed to solve SPTP-PD and SPTP-DD, respectively. An illustration of the application of the model in an electronic appliance manufacturing enterprise in China is presented. |
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Keywords: | Supply chain synchronization production-distribution network mixed integer programming flexible vehicle capacity Lagrange relaxation decomposition |
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