An integrated QFD and fuzzy TOPSIS approach for supplier evaluation and selection

IF 3.8 Q2 MANAGEMENT
J. Sharma, B. B. Tripathy
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引用次数: 1

Abstract

PurposeSupplier evaluation and selection is an essential (multi-criteria decision-making) MCDM process that considers qualitative and quantitative factors. This research work attempts to use a MCDM technique based on merging fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS) and Quality Function Deployment (QFD) ideas. The study attempts to find the supplier's attributes (HOWs) to accomplish its goals after determining the product's characteristics to suit the company's needs (WHATs).Design/methodology/approachThe proposed research methodology comprises the following four steps: Step 1: Determine the product purchase requirements (“WHATs”) and those pertinent to supplier evaluation (“HOWs”). In Step 2, the relative importance of the “WHAT-HOW” correlation scores is determined and also the resulting weights of “HOWs”. In Step 3, linguistic evaluations of possible suppliers in comparison to subjective criteria are given to the decision-makers. Step 4 combines the QFD and F-TOPSIS techniques to select suppliers.FindingsA fuzzy MCDM method based on fusing and integrating fuzzy information and QFD is presented to solve the drawbacks of conventional decision-making strategies used in supplier selection. Using the F-TOPSIS method, fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS), the relative closeness coefficient values for all alternatives are computed. The suppliers are ranked by relating the closeness of coefficient values. This method permits the combination of ambiguous and subjective data expressed as fuzzy-defined integers or linguistic variables.Originality/valueQFD and TOPSIS, two widely used approaches, are combined in this article to rank and evaluate suppliers based on the traits that the suppliers choose to prioritize. This study demonstrates that the method employed could address multiple-criteria decision-making scenarios in a computationally efficient manner. The effectiveness and applicability of the method are illustrated using an example.
供应商评价与选择的QFD与模糊TOPSIS集成方法
目的供应商评价和选择是一个重要的(多标准决策)MCDM过程,它考虑了定性和定量因素。本研究尝试使用一种基于融合模糊理想解相似性排序偏好技术(F-TOPSIS)和质量功能部署(QFD)思想的MCDM技术。该研究试图在确定产品的特征以满足公司的需求(what)之后,找到供应商的属性(how)来实现其目标。设计/方法/方法建议的研究方法包括以下四个步骤:步骤1:确定产品采购需求(“what”)和与供应商评估相关的需求(“how”)。在步骤2中,确定“WHAT-HOW”相关分数的相对重要性以及“how”的结果权重。在步骤3中,将可能的供应商的语言评价与主观标准进行比较,提供给决策者。第四步,结合QFD和F-TOPSIS技术选择供应商。针对传统的供应商选择决策策略存在的不足,提出了一种基于模糊信息与QFD融合和集成的模糊MCDM方法。利用F-TOPSIS法、模糊正理想解(FPIS)和模糊负理想解(FNIS),计算了各方案的相对接近系数值。根据系数值的接近程度对供应商进行排名。这种方法允许用模糊定义的整数或语言变量表示的模糊和主观数据的组合。本文将原创性/价值qfd和TOPSIS这两种广泛使用的方法结合起来,根据供应商选择优先考虑的特征对供应商进行排名和评估。本研究表明,所采用的方法可以解决多标准决策场景在计算效率的方式。通过算例说明了该方法的有效性和适用性。
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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来源期刊
TQM Journal
TQM Journal Business, Management and Accounting-Business, Management and Accounting (all)
CiteScore
9.10
自引率
0.00%
发文量
114
期刊介绍: Commitment to quality is essential if companies are to succeed in a commercial environment which will be virtually unrecognizable in less than a decade. Changing attitudes, changing perspectives and changing priorities will revolutionise the structure and philosophy of future business practice - and TQM will be at the heart of that metamorphosis. All aspects of preparing for, developing, introducing, managing and evaluating TQM initiatives.
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