期刊刊名：正修學報 　 卷期：30期

篇名出版日期：2017年10月1日

作者：蔣治平,王在德,Chih-Ping Chiang, Tzai-Der Wang

語言：English

關鍵字：cellular manufacturing system, uncertainty, stochastic, cycle time, reliability,單元製造,不確定性,週期時間,可靠度

被點閱次數：3次

閱讀時間：556sec

摘要：
This paper presents a stochastic model to deal with the designing of flowline cellular manufacturing systems considering uncertainty in machine reliability and demand lots size variation. The objective is to minimize the total cost consisting of operational cost and breakdown cost in the duration of cycle time. A new deterministic flowline cell formation model is established firstly, and then that is extended to a scenario-based stochastic model. Two index, the expected value of perfect information (EVPI) and the value of stochastic solution (VSS), are employed to evaluate the added-value of incorporating uncertainties into the models. An array of computational experiments is conducted for verifying the model's effectiveness. The experimental results show the proposed models are available and effective in finding optimal solutions in diverse scenarios, and the figures of EVPI and VSS are in a tendency of getting larger when the number of cells gains increasingly, which reveals the impact of uncertainties is getting more significant in larger scale of flowline manufacturing system than in smaller one. The proposed stochastic model incorporating uncertain issues is capable of designing flowline manufacturing cells which perform well under all possible situations rather than one that is optimal for one possible scenario but does poorly in other possible scenarios.

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