摘要
本研究针对铝供应链中日益凸显的碳排放问题和水资源消耗问题,建立了一套决策模型框架,该框架由生命周期分析、绿色供应链网络优化模型和基于epsilon约束方法的多目标优化模型组成,同时考虑煤电、生物质发电、光伏+储能的组合等多种电力供应方式选择以及碳市场不确定性的影响,对铝供应链在多种资源约束下的多目标优化问题进行了深入分析.模型计算结果表明:经济成本和水资源消耗是一对彼此矛盾的目标;决策偏好以及碳市场不确定性会影响供应商的选择;资源约束更加严格的情况下倾向于选择低碳技术,同时产生减少水资源消耗的协同效应.高碳价下所有的帕累托解都不会选择煤电,而更多地倾向于选择光伏加储能的电力供应模式.案例研究证明了该模型在资源产业链多目标决策方面的有效性.本文提出的模型方法为环境资源约束下的资源型制造业决策提供了理论支持.
Aiming to address the imminent issues such as carbon dioxide emissions and water consumption in the supply chain of aluminum production,this study proposes a decision making support framework that consists of three components,namely,the life cycle analysis,the optimization model of green supply chain network,and the multi-objective optimization based on the augmented epsilon-constraint method.The integrated decision making support method is employed for deep analysis of multi-objective optimization problem with multiple resource constraints,by taking into account various technological combination of electricity production,including conventional coal-fired generation,biomass,and photovoltaic(PV)plus electricity storage,as well as the effect of carbon market uncertainty.The results of the case study show that:The economics objective and the objective of water resource saving are contradictory in the model solutions.The choices of suppliers are affected by preference of decision making as well as the uncertainty of carbon price.Under higher stringent constraints of resource,low-carbon generation technologies are more likely opted for,which also leads to the co-benefit of water resource saving.Coal-fired power generation is opted out in all the Pareto solutions under high carbon price,being replaced by the PV plus power storage system.The study demonstrates the effectiveness of the proposed framework in the multi-objective optimization problem of resource supply chain,and provides support for devising the relevant strategies under the multi-faceted constraints of resource and environmental impact.
作者
任宏涛
郭颖
周文戟
余亚东
马铁驹
REN Hongtao;GUO Ying;ZHOU Wenji;YU Yadong;MA Tieju(School of Business,East China University of Science and Technology,Shanghai 200237,China;School of Energy Science and Engineering,Central South University,Changsha 410083,China;Department of Manufacturing and Civil Engineering,Norwegian University of Science and Technology,Trondheim,Norway)
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2020年第8期2090-2103,共14页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(71961137012,71704055,71874055)。
