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Pareto-efficient coordination of the contract-based MTO supply chain under flexible cap-and-trade emission constraint

机译:灵活的总量管制和贸易排放约束下基于合同的MTO供应链的帕累托效率协调

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Low-carbon production is key to both economic and environmental sustainability. It is, however, inadequate to meet the low-carbon targets by the manufacturing industry alone. Current research on emission reduction targets mainly at individual optimality, with little consideration of the synergistic benefits achievable through coordination among supply chain players. This paper fills this gap by incorporating Pareto improvement to ensure that all members are likely to gain in emission reduction through coordination. It gives the emission-dependent manufacturers theoretical basis and managerial insights to go through the stringent emission-limited market, especially under a new proposed low-carbon policy of flexible cap-and-trade, which will soon be deployed for emissions trading in China. This flexible cap-and-trade policy aligns emission reduction with capacity adjustments, but its impact has rarely been investigated. Considering the complexity of the supply chain structure, this paper simplifies the problem to two stages: manufacturer and retailer. While the demand uncertainty is considered with Newsvendor models, Stackelberg game is exploited to solve this problem with three contracts, namely revenue sharing, cost sharing, and two-part tariff. Analytical and numerical studies show that the profitability and greenness of the supply chain are increased by coordination with revenue sharing and two-part tariff contracts. The Pareto improvement encourages cooperation between the supply chain members. Managerial insights are given to help emission-dependent manufacturers compete in the increasingly stringent low-carbon environment. The novelty of this paper lies in the investigation of synergistic benefits achievable through coordination under the new flexible cap-and-trade emission policy, and the Pareto-improving conditions with several contracts are analyzed by Newsvendor models. (C) 2019 Elsevier Ltd. All rights reserved.
机译:低碳生产是经济和环境可持续发展的关键。然而,仅靠制造业不足以满足低碳目标。当前关于减排目标的研究主要集中在个体的最优性,很少考虑通过供应链参与者之间的协调可获得的协同效益。本文通过结合帕累托改进来填补这一空白,以确保所有成员都有可能通过协调实现减排。它为依赖排放的制造商提供了理论基础和管理见解,可以通过严格的排放限制市场,尤其是在新提议的灵活的限额交易的低碳政策下,该政策很快将在中国进行排放交易。这种灵活的总量管制和交易政策使排放量减少与容量调整保持一致,但其影响很少得到研究。考虑到供应链结构的复杂性,本文将问题简化为两个阶段:制造商和零售商。尽管Newsvendor模型考虑了需求不确定性,但利用Stackelberg博弈通过三项合同来解决此问题,即收益共享,成本共享和两部分费率。分析和数值研究表明,通过收益共享和两部分电价合同的协调,可以提高供应链的盈利能力和绿色程度。 Pareto的改进鼓励了供应链成员之间的合作。提供管理见解,以帮助依赖排放的制造商在日益严格的低碳环境中竞争。本文的新颖之处在于研究在新的限额与交易的灵活排放政策下通过协调可获得的协同效益,并通过Newsvendor模型分析了具有多个合同的帕累托改进条件。 (C)2019 Elsevier Ltd.保留所有权利。

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