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Sustainable supplier selection and order allocation: a fuzzy approach
Engineering Optimization ( IF 2.7 ) Pub Date : 2019-10-02 , DOI: 10.1080/0305215x.2019.1663185
Sahar Khoshfetrat 1 , Masoud Rahiminezhad Galankashi 2, 3 , Maryam Almasi 1
Affiliation  

ABSTRACT This research develops a fuzzy, multi-objective, multi-product and multi-period mathematical model for sustainable supplier selection and order allocation in the automotive industry. The problem has been investigated in previous studies, but order allocation in fuzzy environments has attracted less attention. To fill this gap, this research integrates sustainable supplier selection and order allocation with inflation, risk and fuzzy uncertainties. The most important criteria of sustainable supplier selection are developed to select the suppliers. The supplier selection process is conducted using an analytical hierarchy process. The order allocation process determines the optimum purchasing quantity of items from each supplier in each period. To achieve this, six objective functions, total cost, economic score, environmental score, social score, inflation rate and risk level, and the related constraints are considered in the model. An approach to a solution and sensitivity analysis are also provided. The results identify the best suppliers and optimum order allocation.

中文翻译:

可持续供应商选择和订单分配:模糊方法

摘要 本研究为汽车行业的可持续供应商选择和订单分配开发了一个模糊、多目标、多产品和多周期的数学模型。之前的研究已经研究过这个问题,但模糊环境中的顺序分配引起的关注较少。为了填补这一空白,本研究将可持续供应商选择和订单分配与通货膨胀、风险和模糊不确定性相结合。制定可持续供应商选择的最重要标准来选择供应商。供应商选择过程是使用层次分析过程进行的。订单分配流程确定每个时期内每个供应商的最佳物料采购数量。为了实现这一点,六个目标函数,总成本、经济得分、环境得分、模型中考虑了社会得分、通货膨胀率和风险水平以及相关约束。还提供了解决方案和敏感性分析的方法。结果确定了最佳供应商和最佳订单分配。
更新日期:2019-10-02
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