双碳目标下绿色供应商多属性决策及评价研究  

Research on Multi-attribute Decision-making and Evaluation of Green Suppliers with Strategic Target of Carbon Peak and Carbon Neutrality

作　　者：张俊 毛薇[1] Zhang Jun;Mao Wei(School of Management,Hangzhou Dianzi University,Zhejiang Hangzhou,310018)

机构地区：[1]杭州电子科技大学管理学院,浙江杭州310018

出　　处：《评价与管理》2023年第2期54-59,共6页Evaluation & Management

摘　　要：农产品供应链的低碳减排为实现“碳达峰、碳中和”提供了机会窗口。本文首先搭建了一个基于云计算的碳最小化框架,将碳足迹相关属性与价格、重量和可追溯性等传统标准属性结合生成新的生猪采购标准,以最大限度地减少养殖场的碳排放。其次,为保证将碳足迹纳入标准采购属性的理念有效落地,通过采用在模糊环境下评估低碳供应商的多属性决策方法一一模糊TOPSIS,根据上述标准属性对生猪供应商上传到云端的信息进行处理,选择最接近模糊正理想解的低碳供应商。最后,利用一个算例来验证该方法可以实际应用于生态友好型供应商的评估,帮助供应链的参与者主动做出更环保的决策,为进一步推动整个农产品供应链开展低碳减排研究提供科学依据。Low-carbon emission reductions in the agri-food supply chain provide a window of opportunity to achieve"carbon peaking and carbon neutrality".This paper builds a cloud-based carbon minimization framework that combines carbon footprint related attributes with traditional standard atributes such as price,weight and traceability to generate new pig sourcing standards to minimize the carbon emissions of farms.Secondly,in order to ensure the effective implementation of the concept of incorporating carbon footprint into standard procurement attributes,according to the above standard attributes,this paper processes the information uploaded to the cloud by pig suppliers through a multi-attribute decision-making method for evaluating low-carbon suppliers in a fuzzy environment,fuzzy TOPSIS,and the low-carbon supplier closest to the fuzzy positive ideal solution is selected.Finally,a study is used to verify that the method can be applied to the assessment and selection of eco-friendly suppliers,helping supply chain participants to proactively make more environmentally friendly decisions,as well as providing a scientific basis for further promoting low-carbon emission reduction research in the entire livestock supply chain.

关 键 词：碳足迹 云计算 猪肉供应链 多属性决策 模糊TOPSIS 

分 类 号：F274[经济管理—企业管理]