We propose an approach for finding an optimal path in a flexible jobshop manufacturing system considering two criteria of time and cost. With rise in demands, advancement in technology and increase in production capacity, the need for more shops persists. Therefore, a flexible jobshop system has more than one shop with the same duty. The difference among shops with the same duty is in their machines with various specifications. A network is configured in which the nodes are considered to be the shops with arcs representing the paths among the shops. An automated guided vehicle functions as a material handling device through the manufacturing network. To account for uncertainty, we consider time to be a triangular fuzzy number and apply an expert system to infer cost. The objective is to find a path minimising both the time and cost criteria, aggregately. Since time and cost have different scales, a normalisation procedure is proposed to remove the scales. The model being biobjective, the analytical hierarchy process weighing method is applied to construct a single objective. Finally, a dynamic programming approach is presented for computing a shortest path in the network. The efficiency of the proposed approach is illustrated by a numerical example.
کلید واژگان :flexible jobshop; AGV; automated guided vehicle; manufacturing systems; fuzzy systems.
ارزش ریالی : 600000 ریال
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جزئیات مقاله
- کد شناسه : 1148290878650866
- سال انتشار : 2013
- نوع مقاله : پذیرفته شده در مجلات Scopus ,ISI با 4>IF>
- زبان : انگلیسی
- محل پذیرش : Industrial and Systems Engineering
- IF مجله : Int. J. Industrial and Systems Engineering
- ISSN :
- تاریخ ثبت : 1395/10/08 10:36:26
- ثبت کننده : حامد فضل الله تبار
- تعداد بازدید : 177
- تعداد فروش : 0