不同竞争结构下闭环供应链碳减排和低碳推广决策

Decisions of carbon emission reduction and low-carbon promotion in closed-loop supply chain under different competitive structures

中文关键词  碳减排  低碳推广  竞争  闭环供应链  

英文关键词  carbon emission reduction  low-carbon promotion  competition  closed loop supply chain  

中文摘要

      为了研究闭环供应链的竞争减排和竞争低碳推广问题,分别构建了两个制造商和一个零售商分散决策结构(模型HR)、一个制造商和两个零售商分散决策结构(模型MH),两个制造商和两个零售商分散决策结构(模型HH)和两个制造商和两个零售商纵向合作结构(模型CC),通过对比前三种结构(模型HR、MH和HH)的决策结果,研究制造商竞争和零售商竞争对不同供应链结构决策的影响。通过对比后两种结构(模型HH和CC)的决策结果,研究供应链企业纵向合作对供应链竞争决策的影响。研究表明：零售商之间的横向竞争能够提高制造商的废旧产品回收水平。两个制造商和两个零售商纵向合作结构的回收水平和低碳推广努力程度最高以及市场需求最大,该结构的减排水平高低受到制造商的竞争强度和零售商的竞争强度影响。最后,结合算例分析,进一步对比四种不同供应链结构的决策结果和利润。

英文摘要

      In order to study the competitive decision problem of the carbon emission reduction and the low-carbon promotion in closed loop supply chain, the different structures are developed, i.e., the decentralized decision structure of two manufacturers and one retailer (Model HR), the decentralized decision structure of one manufacturer and two retailers (Model MH)，the decentralized decision structure of two manufacturers and two retailers (Model HH), as well as the horizontal and vertical cooperation structure of two manufacturers and two retailers (Model CC). The impact of different structures on the manufacturers’ competition and the retailers’ competition are studied by comparing the decision results of three structures (Model HR, MH, HH). The impact of the competitive decision on the horizontal cooperation of the supply chain’s members is studied by comparing the decisions of the Model HH and the Model CC. It shows that the collection level of used-products is increased by the horizontal competition of the retailer. Under the Model CC, the collection level, the low-carbon promotion effort and the market demand are best, but the level of carbon emission reduction is affected by the competitive strength of the manufacturers and the retailers. Finally, the decisions results and the profits of the four different structures in supply chain are further compared by numerical analysis.