碳税下基于模糊理论的供应链决策优化模型  

Optimal decision model for supply chain under carbon tax based on fuzzy theory

作　　者：陈玲丽[1] 郭鹏[1] 韩二东[1] CHEN Lingli GUO Peng HAN Erdong(School of Management, Northwestern Polytechnical University, Xi＇an 710129, China)

机构地区：[1]西北工业大学管理学院,陕西西安710129

出　　处：《计算机集成制造系统》2017年第4期860-866,共7页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(71272049;71402142);高等学校博士学科点专项科研基金资助项目(20126102110052)~~

摘　　要：针对供应链成本为模糊参数的情况,在集中决策模式和碳税政策环境下,围绕一个四级供应链如何做出有效决策从而获得最低总成本的问题,构建了模糊规划决策模型,并基于模糊可能性理论对模型进行了求解。通过算例仿真验证了所提模型和方法的有效性与可行性,对算例进行分析后发现,碳税取一定值时可以促使该供应链企业通过改变相关的决策来降低碳排放量,从而实现获取经济利益和承担社会责任的双重目标。To study a four-echelon supply chain with fuzzy costs in the centralized decision mode how to make effec- tive decisions for achieving the objective of minimization total costs under the carbon emission taxation scheme, a fuzzy programming model was developed, and was solved based on fuzzy possibility theory. An example was given to demonstrate the feasibility and effectiveness of the proposed approach. The analysis of a given example showed that a reasonable carbon tax could let this supply chain enterprise change the decision to reduce the carbon emission, so as to achieve the dual goals of economic benefits and social responsibility.

关 键 词：供应链 碳税 碳排放 模糊成本 可能性理论 集中决策 

分 类 号：O159[理学—数学] F27[理学—基础数学]