GA-Based Precast Production Planning System
نویسندگان
چکیده
Appropriate production plans can make resources utilized effectively as well as minimize waste. However, currently most of the precast fabricators propose production plans depending on the rule of thumb, resulting in the squander of resources and postponed delivery. Computerized scheduling techniques provide more precise outcomes than those made manually. The goal of this study is to develop a GA-Based Precast Production Planning System to assist production managers arranging production plans. This research first establishes a flow-shop sequencing model based on the current production status by considering the buffer sizes between production stations. Then, a multi-objective genetic algorithm is applied to search for solutions with minimum makespan and tardiness penalty. The performance of the proposed system is verified using two examples. The result of which demonstrates that the proposed system can offer appropriate production plans. Furthermore, by taking buffer sizes into consideration, more reasonable and feasible production sequences can be achieved.
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