Disruption management considering real-world behavioral participators in permutation flowshop
WANG Jian-jun1, LIU Ya-jing1, LIU Feng2, LI Ting-ting2
1. School of Management Science and Engineering, Dalian University of Technology, Dalian 116024, China; 2. School of Management Science and Engineering, Dongbei University of Finance & Economics, Dalian 116025, China
Abstract:For disruption problems of unexpected new arrival orders in permutation flowshop, this paper focuses on the main behavioral participators in the manufacturing systems: enterprise managers, shop floor workers and customers to measure deviations based on prospect theory, and formulates the bi-criteria model which considers both the original objective and the deviation objective. The original objective is measured by the total completion times of all orders, while the deviation objective is measured by the behavioral participators' non-satisfaction based on behavioral operations management. It is found out that the problem is NP-hard. A single meta-heuristic's efficiency excessively depends on the quality of the initial solutions and is greatly affected by lack of local search, so algorithm hybridization is needed. With regards to improving initial solutions and strengthening local search, a universal hybridization strategy is proposed, and four hybrid meta-heuristic algorithms are designed accordingly. Finally in order to verify the proposed hybridization strategy, we design computational study by integrating benchmark flowshop testing dataset Taillard (Ta) and randomly generated new order data. The advantage of deviation measure based on prospect theory over existing measures is shown, and by analysis of proximity and diversity of obtained Pareto front, the proposed hybridization strategy is as well demonstrated to be effective.
王建军, 刘亚净, 刘锋, 李婷婷. 考虑行为主体的置换流水车间干扰管理研究[J]. 系统工程理论与实践, 2015, 35(12): 3092-3106.
WANG Jian-jun, LIU Ya-jing, LIU Feng, LI Ting-ting. Disruption management considering real-world behavioral participators in permutation flowshop. Systems Engineering - Theory & Practice, 2015, 35(12): 3092-3106.
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