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Product decomposition strategy for optimization of supply chain planning 被引量:1

Product decomposition strategy for optimization of supply chain planning
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摘要 Optimization of large-scale supply chain planning models requires the application of decomposition strategies to reduce the computational expense. Two major options are to use either spatial or temporal Lagrangean decomposition. In this paper, to further reduce the computational expense a novel decomposition scheme by products is presented. The decomposition is based on a reformulation of knapsack constraints in the problem. The new approach allows for simultaneous decomposition by products and by time periods, enabling the generation of a large number of subproblems, that can be solved by using parallel computing. The case study shows that the proposed product decomposition exhibits similar performance as the temporal decomposition, and that selecting different orders of products and aggregating the linking constraints can improve the efficiency of the algorithm. Optimization of large-scale supply chain planning models requires the application of decomposition strategies to reduce the computational expense. Two major options are to use either spatial or temporal Lagrangean decomposition. In this paper, to further reduce the computational expense a novel decomposition scheme by products is presented. The decomposition is based on a reformulation of knapsack constraints in the problem. The new approach allows for simultaneous decomposition by products and by time periods, enabling the generation of a large number of subproblems, that can be solved by using parallel computing. The case study shows that the proposed product decomposition exhibits similar performance as the temporal decomposition, and that selecting different orders of products and aggregating the linking constraints can improve the efficiency of the algorithm.
出处 《Frontiers of Engineering Management》 2018年第4期466-478,共13页 工程管理前沿(英文版)
基金 financial support from the Center for Advanced Process Decision-making (CAPD) from Carnegie Mellon University the Government of Chile through its Becas Chile program
关键词 supply CHAIN PLANNING Lagrangean DECOMPOSITION MIXED-INTEGER PROGRAMMING supply chain planning Lagrangean decomposition mixed-integer programming
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