Combining scoring method and fuzzy expert systems approach to supplier assessment: a case study

C. Kwong, W. Ip, Joseph W. K. Chan
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引用次数: 133

Abstract

Very often, manufacturing companies have been faced with the problem of assessment and selection of suppliers for their product development. Some methods and techniques have been developed to assist these companies in performing the assessment. However, these methods and techniques lack tge capability to deal with the instrumental and conceptual uncertainties that are involved in the supplier assessment and selection. Fuzzy expert system is an alternative approach from which the heuristics and knowledge of supplier assessment can be captured and the impreciseness and uncertainties due to the human subjectivity, that are common in the process of the supplier assessment, can be handled. In this paper, a combined scoring method with fuzzy expert systems approach is introduced to perform the supplier assessment. With the use of the fuzzy concept, the error due to human judgement in the scoring method could be minimized. First, current methods and techniques of supplier assessment are reviewed in this paper. There follows the description of a case study of combined scoring method and fuzzy expert systems approach to supplier assessment. Some results of the prototype system trial‐run are discussed in the final part of this paper.
结合评分法和模糊专家系统方法进行供应商评价:一个案例研究
制造企业经常面临产品开发供应商的评估和选择问题。已经开发了一些方法和技术来帮助这些公司进行评估。然而,这些方法和技术缺乏处理供应商评估和选择中涉及的工具和概念上的不确定性的能力。模糊专家系统是一种可以捕捉供应商评估的启发式和知识,并处理供应商评估过程中常见的由于人为主观性而产生的不准确性和不确定性的替代方法。本文提出了一种与模糊专家系统相结合的评价方法来对供应商进行评价。利用模糊概念,可以最大限度地减少评分方法中人为判断的误差。本文首先对供应商评估的方法和技术进行了综述。然后介绍了一个将综合评分法和模糊专家系统方法应用于供应商评价的案例研究。本文最后讨论了样机系统试运行的一些结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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