本研究通过整合排放风险最小化(ERM)来解决供应链管理(SCM)中的关键差距,绿色采购(GP),和利润最大化(PM)。研究的重点是制造商的最优行为,代理商,和零售商在SCM框架内实现碳中和和减少二氧化碳排放(CO2e)。本研究认为广东省,中国,一个在优化能源系统和实现二氧化碳减排目标方面面临挑战的地区。在数学模型中采用基于仿真的优化技术。实验设计(DOE)方法用于探索SCM环境中关键变量的动力学。结果揭示了制造商的最优行为,代理商,零售商,展示利润和定价决策的理想值。制造商优化生产数量,通过ERM实现二氧化碳减排和PM。代理商对GP实践表现出强烈的承诺,加强PM和碳中和目标。零售商比制造商和代理商获得更多的PM,为清洁环境做出贡献。有趣的是,零售商在SCM中不考虑ERM和GP的情况下为清洁环境做出贡献。该研究通过解决SCM研究中发现的差距,贡献了新的见解,强调对机构风险管理的共同考虑,GP,和PM。这项研究帮助制造商,代理商,和零售商在PM方面的经济目标。它通过社会中的碳中和SCM清洁环境。
This study addresses critical gaps in supply chain management (SCM) by integrating emission-risk minimization (ERM), green purchasing (GP), and profit maximization (PM). The research focuses on the optimal behaviors of manufacturers, agents, and retailers within the SCM framework to achieve carbon neutrality and reduce carbon dioxide emissions (CO2e). This study considers Guangdong province,
China, a region facing challenges in optimizing energy systems and meeting CO2e reduction targets. Simulation-based optimization techniques within mathematical models are employed. A design of experiment (DOE) method was used to explore the dynamics of key variables in the SCM environment. Results reveal optimal behaviors for manufacturers, agents, and retailers, demonstrating the ideal values for profit and pricing decisions. Manufacturers optimize production quantity, achieving CO2e reduction and PM through ERM. Agents exhibit a strong commitment to GP practices, enhancing PM and carbon-neutral goals. Retailers get more PM than manufacturers and agents, contributing to a clean environment. Interestingly, retailers make contributions to the clean environment without considering ERM and GP in SCM. The study contributes novel insights by addressing the identified gap in SCM research, emphasizing the joint consideration of ERM, GP, and PM. This research assists manufacturers, agents, and retailers in terms of PM for economic objectives. It cleans the environment through carbon-neutral SCM in society.