当前位置: X-MOL 学术Expert Syst. Appl. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Two-sided matching decision-making model for complex product system based on Life-cycle sustainability assessment
Expert Systems with Applications ( IF 8.5 ) Pub Date : 2022-07-20 , DOI: 10.1016/j.eswa.2022.118184
Peng Jiang, Shunsheng Guo, Baigang Du, Jun Guo

Since the different matching schemes between manufacturing tasks and services have a great influence on the life cycle sustainability of complex product system (CoPS), the strategy used to find cost-effective, environmentally friendly, and socially acceptable matching results is essential for sustainable development. This paper proposed a novel two-sided matching model for CoPS based on life-cycle sustainability assessment (TSMM-CoPS-LCSA). First, the two-sided matching model based on the life-cycle sustainability assessment of manufacturing tasks and services for CoPS is presented. Then, a bi-level decision-making method is proposed, where learning and synergy effect are considered to ensure stability in the matching process. Sequentially, to facilitate the optimization solution, the Karush-Kuhn-Tucker (KKT) conditions are adopted to convert the bi-level model to a single model which aims to minimize the total cost, environmental impact, and social impact. Subsequently, for solving this nonlinear and complex multi-objective decision-making model, an improved hybrid algorithm that integrated Tabu Search and non-dominated sorting genetic algorithm II (TS-NSGA-II) is applied to solve the above model. Finally, a case study of CoPS manufacturing project is illustrated to demonstrate the effectiveness and superiority of the proposed TSMM-CoPS-LCSA model. The results indicate that the proposed method can find a better services scheme in line with actual demand, which provides a guiding significance for promoting the sustainable development of the manufacturing industry.



中文翻译:

基于生命周期可持续性评估的复杂产品系统双边匹配决策模型

由于制造任务和服务之间的不同匹配方案对复杂产品系统(CoPS)的生命周期可持续性有很大影响,因此用于寻找具有成本效益、环境友好和社会可接受的匹配结果的策略对于可持续发展至关重要。本文提出了一种基于生命周期可持续性评估的 CoPS 双边匹配模型 (TSMM-CoPS-LCSA)。首先,提出了基于 CoPS 制造任务和服务生命周期可持续性评估的双边匹配模型。然后,提出了一种双层决策方法,其中考虑了学习和协同效应,以确保匹配过程的稳定性。随后,为了便于优化解决方案,采用 Karush-Kuhn-Tucker (KKT) 条件将双层模型转换为单一模型,旨在最小化总成本、环境影响和社会影响。随后,为了求解这种非线性复杂的多目标决策模型,采用改进的禁忌搜索与非支配排序遗传算法II(TS-NSGA-II)相结合的混合算法对上述模型进行求解。最后,通过一个 CoPS 制造项目的案例研究来证明所提出的 TSMM-CoPS-LCSA 模型的有效性和优越性。结果表明,所提方法能够找到更符合实际需求的服务方案,为促进制造业可持续发展提供指导意义。

更新日期:2022-07-20
down
wechat
bug