Abstract
Agile supply chain must possess the ability of utilizing alliance corporations’ production capacity fully in a systematic view, in order to meet the market demands and its changes quickly and economically. Powerful scheduling techniques are the key support for supply chains’ agility. Based on the discontinuous schedulable periods of suppliers, an agile supply chain static scheduling under schedulable periods (ASCSSSP) of multiple optional suppliers for each part is studied. According to the final product’s supplying BOM, this paper sets up a structural framework model for agile supply chains firstly, then analyzes and builds a mathematic model for the task assignment and schedule optimization of ASCSSSP with the supply-demand time and quantity constraints, and especially designs a novel heuristic algorithm of Task Adjusted by Cost (TAC) to solve the model. Finally, by some numerical experiments, the efficiency and practicability of the model and algorithm is verified by contrasting analysis.
Publisher
Trans Tech Publications, Ltd.
Reference14 articles.
1. Chai Yueting, Liu Yi. Agile supply chain management[M]. Beijing: Tsinghua university press, (2001).
2. Chen Xin, Chen Qiushuang etc. Research on integrated scheduling algorithm for 3-tier supply chain[J]. Computer integrated manufaturing systems, 2006, 12(4): 590-595.
3. Sawik Tadeusz. Multi-objective master production scheduling in make-to-order manufacturing [J]. International Journal of Production Research, 2007, 45(12): 2629-2653.
4. Hall Nicholas G., Liu Zhixin. Capacity Allocation and Scheduling in Supply Chains [J]. Operations Research, 2010, 58(6): 1711-1725.
5. Liu Xiaohua, Lin Jie. Scheduling optimization in supply chain based on GA-PSO hybrid algorithm[J]. Control and decision, 2011, 26(4): 501-506.