基于模糊AHP-GP的低碳供应商选择模型

An Integrated Fuzzy AHP-GP Approach for Low Carbon Supplier Selection

为从源头控制碳排放并降低间接碳排放,越来越多的企业开始关注其供应商的碳足迹。以往的供应商选择问题研究多关注成本、质量、服务等等,较少考虑供应商的碳排放问题。为此,本文采用了模糊AHP和模糊GP(Goal Programming)相结合的方法,将供应商的碳排放纳入选择标准之中,解决如何选择供应商和分配订货量的问题。首先,本文根据专家的意见使用模糊AHP方法分析供应商选择标准的重要程度。选择标准具体包括产品价格、产品质量、服务水平和产品的碳排放。其次,根据模糊AHP的分析结果对不同目标赋予不同的权重,再使用模糊GP方法进行供应商选择和订货量分配。算例验证结果表明,将模糊AHP-GP模型应用于低碳供应商的选择有较强的实用性。

To control carbon emission form the beginning and reduce indirect carbon emission,more and more companies begin to pay close attention to carbon footprint of their suppliers.Earlier studies on supplier selection problem have mainly focused on cost,quality,service,etc.,and take little interest in carbon emission of supplies.Hence,this paper presents an integrated approach of fuzzy AHP and fuzzy GP(Goal Programming)and considers carbon emission of suppliers as one important criterion to deal with supplier selection and order quantity allocation problem.At first,fuzzy analytic hierarchy process(AHP)is applied to analyze the weights of multiple criteria of supplier selection based on expert’s opinion.The considered criteria are price,quality,service level and carbon emission of the product.Next,we give different weights to goals of programming based on fuzzy AHP results,and use fuzzy GP to select suppliers and allocate order quantity.The empirical results indicate that the integrated fuzzy AHP-GP model is of good practical value for low carbon supplier selection.