Affiliation:
1. School of Mechatronics Engineering, China University of Mining and Technology, Xuzhou 221000, China
Abstract
In the background of global carbon-neutral requirements, enterprises need to control carbon emissions in the process of product lifecycles in order to gain market competitive advantages. Previous product configuration studies, mostly focused on minimizing carbon dioxide emissions, have ignored the issue of carbon-neutral costs. This study quantifies the product costs borne by enterprises and the carbon-neutral cost borne by the government, respectively. A carbon-neutral cost model for suppliers, enterprises, customers, and recycling plants in the whole life cycle of products was constructed. The whole life cycle carbon emissions and the unit carbon removal costs were taken into account in the carbon-neutral cost model. By minimizing product and carbon-neutral costs, a bi-objective integer programming model was constructed. The NSGA-II algorithm was introduced to solve the Pareto front of the model. The feasibility and effectiveness of this method were then illustrated through a case study and results comparison. It showed that, compared with the scheme of carbon emissions reduction, the optimization scheme with carbon-neutral costs as the object had a significant change. Integrating carbon-neutral costs into product development activities was effective in reducing the enterprise’s product cost and the government’s financial expenditure on carbon removal simultaneously. The proposed model could provide a win–win product configuration scheme for the government and enterprises.
Funder
National Natural Science Foundation of China
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference40 articles.
1. Design for Mass Customization;Tseng;CIRP Ann.,1996
2. Mass customization: Literature review and research directions;Silveira;Int. J. Prod. Econ.,2000
3. Product Configuration Frameworks-A Survey;Sabin;IEEE Intell. Syst. Appl.,1998
4. Research on customer-oriented optimal configuration of product scheme based on Pareto genetic algorithm;Tong;Proc. Inst. Mech. Eng. Part B J. Eng. Manuf.,2014
5. Joint decision-making of product family configuration and order allocation by coordinating suppliers under disruption risks;Liu;J. Eng. Des.,2021
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献