A supplier performance evaluation framework using single and bi-objective DEA efficiency modelling approach: individual and cross-efficiency perspective

排名(信息检索) 计算机科学 供应商评价 数据包络分析 质量(理念) 供应商关系管理 风险分析(工程) 运筹学 可靠性工程 供应链 供应链管理 业务 工程类 数学优化 人工智能 数学 营销 哲学 认识论
作者
Mohit Goswami,Abhijeet Ghadge
出处
期刊:International Journal of Production Research [Taylor & Francis]
卷期号:58 (10): 3066-3089 被引量:28
标识
DOI:10.1080/00207543.2019.1629665
摘要

In view of complexities associated with supplier performance evaluation based on traditional business criterions (such as costs, quality levels, and delivery timelines) and emerging criterions (such as those related to environmental sustainability), we in this research evolve two different supplier efficiency measurement models that unify such criterions possessing characteristics of both desirable and undesirable outputs. The first model is a single-objective DEA efficiency assessment model wherein both types of outputs are integrated into a single composite efficiency measure. Using data from suppliers of Hyundai Steel Company, we determine composite efficiencies of each of these suppliers thus ranking them in terms of an overall efficiency score that would be useful as far as the first-cut supplier discrimination is concerned. However, due to the relative inability of evolved single-objective efficiency model to perform trade-offs amongst desirable and undesirable outputs and, owing to unidimensionality aspects, we evolve a goal programming based bi-objective efficiency model wherein trade-offs can be performed between both conventional and emerging dimensions criterions leading to different supplier evaluations for varied scenarios. We also integrate our evolved models with the cross-efficiency view of efficiency determination in order to enable the decision-makers to achieve peer-to-peer evaluation and maximum discrimination amongst suppliers.
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