考虑能源成本与环境的生产路线问题双目标优化

Besma Zeddam, F. Belkaid, M. Bennekrouf
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引用次数: 3

摘要

集成供应链及其效益正在被越来越多地研究,优化具有相同目标的不同过程的不同活动,特别是成本最小化,由于其对任何商业公司的价值而成为感兴趣的中心。本文从经济、环境和能源三个方面出发,提出了解决生产、储存和分配活动的综合问题之一“生产路线问题”的新方法,并提出了三个数学模型:其中一个目标是最小化生产、库存和配送成本的总成本,第二个目标是最小化这三个活动的总碳排放,然后提出了一个多目标模型,将两个目标合并为一个目标,使用LP-metric,不仅如此,在能源容量约束和不同的生产系统加工速度下解决了这个问题。最后,给出了实验结果,并对其进行了讨论,以说明这两个方面之间的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bi-objective optimization for the Production-Routing problem Cost vs Environment with energy consideration
The integrated supply chain and its benefits are being studied increasingly, optimizing the different activities of different processes which have the same objective, especially cost minimization which became a center of interest because of its value for any commercial company. This paper has the purpose of developing a new approach to solve one of the integrated problems which concerns production, storage and distribution activities “Production-Routing Problem”, treating the economic, environmental and energetic aspects, three mathematical models are then proposed: one of them aims to minimize the total costs including production, inventory and distribution costs, the second one aims to minimize the total carbon emissions of the three activities, then a multi-objective model is proposed to join both objectives in only one using LP-metric, not only that but this problem is solved under an energy capacity constraints and with different processing speeds for the production system. Finally, experimental results are presented and discussed to show the tradeoff between the aspects.
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