文献类型：会议论文

英文题名：Incorporation of life cycle emissions and carbon price uncertainty into the supply chain network management of PVC production

作者：Ren, Hongtao[1];Zhou, Wenji[2,3];Makowski, Marek[2,4];Yan, Hongbin[1];Yu, Yadong[1];Ma, Tieju[1,2]

机构：[1]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;[2]Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria;[3]Norwegian Univ Sci & Technol, Dept Mfg & Civil Engn, Teknologivn 22, N-2815 Gjovik, Norway;[4]Polish Acad Sci, Syst Res Inst, Newelska 6, PL-01447 Warsaw, Poland

会议论文集：6th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM)

会议日期：MAR 15-17, 2018

会议地点：Hanoi, VIETNAM

语种：英文

外文关键词：Green supply chain management; Emissions trading scheme; Life cycle analysis; Carbon price uncertainty; PVC production

摘要：Emissions trading schemes have been widely implemented by many countries to enforce the "cap and trade" concept for mitigating CO2 emissions. Thus, the carbon price influences the manufacturing costs in all stages of production, recycling, and disposal. Consideration of the carbon price is especially important for the economic efficiency of the downstream manufacturing sectors, such as in plastic product manufacturing, to substantially reduce their costs through the design and management of networked supply chains, which results in purchasing feedstocks from different technological routes, as well as choosing plants, warehouses and various transportation modes with diverse CO2 emission intensities. Supporting the decision-making in such situations requires the integration of life cycle analysis and networked supply chain management methodologies with an analysis of the carbon-market uncertainties. Such approaches have not been sufficiently quantified in the existing literature. This study presents a stochastic mixed-integer linear programming model developed for polyvinyl chloride pipe manufacturing in China, which is used to evaluate the effects of the life cycle emissions of procurement on the whole supply chain under carbon market uncertainty. Our results illustrate that the carbon market uncertainty would not only significantly influence the carbon-intensive production sectors but also the downstream manufacturing sectors. The five scenarios with carbon price variation exhibit distinctively different choices in procurement and supply chain configurations, as well as in their performances regarding total emissions and associated costs.