期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 10, 页码 12497-12505出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.04.033
关键词
RFID; GA; Stochastic production demand problem
类别
资金
- Research Office of The Hong Kong Polytechnic University [RGMU]
This paper addresses the stochastic production demand problem in a manufacturing company. The objective of this research is to minimize the waiting time of production workstations and reduce stochastic production material problems through coordinating pickup and delivery orders in a warehouse. RFID technology is adopted to visualize the actual status of operations in production and warehouse environments. A mathematical model is developed to address this problem and a meta-heuristic algorithm using genetic algorithm (GA) is also developed to improve performance. Computational experiments are undertaken to examine the performance of the algorithm when dealing with congestion in cases of heavy and normal demand for production material. The overall result shows that the algorithm efficiently minimizes the total makespan of the production shop floor. (C) 2011 Elsevier Ltd. All rights reserved.
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