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A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework

机译:实用程序驱动的供应商评估和选择方法:集成解决方案框架的经验验证

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摘要

Supplier evaluation and selection (SES) problems have long been studied, leading to the development of a wide range of individual and hybrid models for solving them. However, the lack of widespread diffusion of existing SES models in the industry points to a need for simpler models that can systematically evaluate both qualitative and quantitative attributes of potential suppliers while enhancing the flexibility decision-makers need to account for relevant situational factors. Furthermore, empirical validations of existing models in SES have been few and far between. With a view to addressing these issues, this paper proposes an integrated solution framework that can be used to evaluate both tangible and intangible attributes of potential suppliers. The proposed framework combines three individual methods, namely the fuzzy analytic hierarchy process, fuzzy complex proportional assessment and fuzzy linear programming. The framework is validated through application in a Turkish textile company. The results generated using the proposed framework is compared with the actual historical data collected from the company. Additionally, a feasibility assessment is conducted on the sample supplier selection criteria employed, as well as assessment of the results generated using the proposed model.
机译:长期以来,对供应商评估和选择(SES)问题进行了研究,从而导致开发了广泛的单个和混合模型来解决这些问题。但是,行业中现有的SES模型缺乏广泛的传播,这表明需要一种更简单的模型,该模型可以系统地评估潜在供应商的定性和定量属性,同时增强决策者需要考虑相关情况因素的灵活性。此外,对SES中现有模型的经验验证很少而且相差甚远。为了解决这些问题,本文提出了一个集成的解决方案框架,可用于评估潜在供应商的有形和无形属性。所提出的框架结合了三种独立的方法,即模糊层次分析法,模糊复比例评估法和模糊线性规划法。该框架通过在一家土耳其纺织公司中的应用进行了验证。将使用建议框架生成的结果与从公司收集的实际历史数据进行比较。此外,将对所采用的样本供应商选择标准进行可行性评估,并评估使用建议模型生成的结果。

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