Suchergebnisse

We study a new supply chain configuration problem to optimize the amount of carbon emission in the context of a service guarantee modelling framework, called supply chain configuration problem with low carbon emission (SCCP-LCE). A novel feature of our addressed problem is the explicit consideration of carbon emission cap and trading price in the supply chain configuration setting with operating capacity. The problem is formulated as a mixed-integer nonlinear programming (MINLP) model, and optimally solved by a custom designed dynamic programming algorithm. A case study and computational experiment are performed to examine the behaviour of optimal SCCP-LCE configurations, and the effects of key input parameters: carbon emission cap, trading price, and operating capacity. Our results suggest that government-imposed carbon emission policies, in terms of emission cap and trading price, have significant impacts and interactive effects on the optimal supply chain configuration and performance, including the safety stock cost and carbon emission cost. Our model and methodology offer a new analytical framework to prescribe data-driven decision support for both firms and governmental/environmental agencies to control carbon emission, while achieving optimal business and social benefits. (C) 2020 Elsevier Ltd. All rights reserved. ; Funding Agencies|Guangdong Natural Science FoundationNational Natural Science Foundation of Guangdong Province [2017A030313401]; China Scholarship CouncilChina Scholarship Council [201807630004]; Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51875251]; Guangdong Special Support Talent Program - Innovation and Entrepreneurship Leading Team [2019BT02S593]; 2018 Guangzhou Leading Innovation Team Program (China) [201909010006]; Blue Fire Project (Huizhou) Industry-University-Research Joint Innovation Fund of the Ministry of Education (China) [CXZJHZ201722]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [11618401] The accepted version of this artice is available on the author's personal web page.