Dispatching Rule Evaluation in Flexible Manufacturing Systems by a New Fuzzy Decision Model with Possibilistic-Statistical Uncertainties

作者：Foroozesh N; Tavakkoli Moghaddam R; Mousavi S M; Vahdani B

来源：ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2017, 42(7): 2947-2960.

DOI：10.1007/s13369-017-2448-8

• Flexible manufacturing systems
• Scheduling and dispatching rules
• Interval-valued fuzzy sets (IVFSs)
• Multi-criteria group decision analysis model
• Possibilistic mean and standard deviation

Due to the highly focused business strategies, it has become necessary for a manufacturing industry to have quick reaction times and high flexibility. In this manner, the presentation of flexible manufacturing systems (FMSs) has had in number positive effects on the manufacturing technology. FMS scheduling is the most influenced range by the evaluation factors; hence, choosing proper scheduling types or dispatching rules, concerning manufacturing system criteria, is a significant decision note for managers and professional experts. This paper presents a new multi-criteria decision-making approach with similarity to ideal solutions and interval-valued fuzzy sets based on possibilistic-statistical concepts to perfect arrangement group decision-making process. This model introduces new definitions for obtaining ideal solutions with values of possibilistic-interval mean and possibilistic-interval standard deviation, and novel separation measures along with a new interval-valued fuzzy ranking index of integrated relative-closeness coefficients to provide the final preference order of dispatching rule candidates under uncertain conditions. Furthermore, the steps of the proposed interval-valued fuzzy group decision model are implemented to an application case from the recent literature of the FMS scheduling. Finally, discussion of computational results for dispatching rules and comparative analysis are reported.

• 出版日期2017-7