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Establish An Adaptive (s, S) Production System Under Imperfect Production Conditions By Fuzzy Analytic Hierarchy Process

机译:通过模糊分析层次过程在不完美的生产条件下建立自适应(S,S)生产系统

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摘要

Traditionally, the EPQ model is the most widely used method to solve the production problem. This model is based on ideal production process conditions, with the final products within the specifications and without any defects and the result is significantly different from the actual production system. In reality, a manufacturer encounters a number of uncertainties, such as quality variance, equipment unreliability, and defects and shortage incurred from imperfect production planning, implementation, and processing. Over the past few decades, majority of related EQP studies, based on a single factor or multiple factors, were too complicated to use. This publication is intended to investigate the possible alternatives on imperfect production and quality variance in the production environment by using Fuzzy AHP to evaluate the most critical alternatives. The EPQ model based on these critical factors will determine the alternatives for the optimum Economic Production Quantity, meanwhile an adaptive (s, S) production system can be determined accordingly.
机译:传统上,EPQ模型是解决生产问题最广泛使用的方法。该型号基于理想的生产过程条件,规格内的最终产品且没有任何缺陷,结果与实际生产系统显着差异。实际上,制造商遇到了许多不确定性,例如质量方差,设备不可靠性以及不完美的生产计划,实施和处理产生的缺陷和短缺。在过去的几十年中,基于单一因素或多个因素的大多数相关的EQP研究都太复杂了。本出版物旨在通过使用模糊AHP来调查生产环境中不完美的生产和质量方差的可能替代方案来评估最关键的替代品。基于这些关键因素的EPQ模型将确定最佳经济生产量的替代方案,同时可以相应地确定适应性(S)生产系统。

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