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A fuzzy AHP and fuzzy multi-objective linear programming model for order allocation in a sustainable supply chain : a case study

机译:可持续供应链中订单分配的模糊层次分析法和模糊多目标线性规划模型:案例研究

摘要

Supplier selection is a critical process in sustainable supply chain management. Increased pressure from stakeholders has forced companies to search for methodologies that help in arriving at intelligent supplier selection decisions. This is a unique study as it illustrates how to optimise orders among various suppliers while taking into consideration all three dimensions of sustainability -economic, social, and environmental. Previous studies have mostly relied on simple ranking of suppliers on the basis of past performance for selection. Those studies that did emphasise on optimisation of orders among suppliers, did not consider all three dimensions of sustainability. To establish an improved sustainable supply chain, this study uses integrated fuzzy AHP and fuzzy multi-objective linear programming approach for order allocation among suppliers. fuzzy AHP has been used for weighing various factors such as quality, lead time, cost, energy use, waste minimisation, emission, and social contribution, and weights of the factors have been considered for developing linear programming. Demand has been taken as a fuzzy variable in this model. The case of an Indian automobile company has been taken as illustration.
机译:供应商选择是可持续供应链管理中的关键过程。利益相关者的压力越来越大,迫使公司寻找有助于做出明智的供应商选择决策的方法。这是一项独特的研究,因为它说明了如何在考虑可持续性的所有三个方面(经济,社会和环境)的同时优化各个供应商的订单。先前的研究主要依赖于根据过去的选择绩效对供应商进行简单排名。那些强调在供应商之间优化订单的研究并未考虑可持续性的所有三个方面。为了建立改进的可持续供应链,本研究使用集成的模糊层次分析法和模糊多目标线性规划方法对供应商之间的订单进行分配。模糊层次分析法已被用于权衡各种因素,例如质量,交货时间,成本,能源使用,废物最小化,排放和社会贡献,并且考虑了这些因素的权重以发展线性规划。在此模型中,需求已被视为模糊变量。以印度一家汽车公司的案例为例。

著录项

  • 作者

    Kumar D; Rahman Z; Chan FTS;

  • 作者单位
  • 年度 2017
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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