An Efficient Approach for Solving Integrated Production and Distribution Planning Problems: Cost vs. Energy

Besma Zeddam, F. Belkaid, M. Bennekrouf
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引用次数: 6

Abstract

The increasing customer expectations for customized products of high quality in short delays and the worldwide competition in terms of quality and costs have pushed industries to implement new strategies to manage their supply chain decisions. In this context, the integrated planning is becoming the most dominant over the operational research field because of its efficiency and its ability to cover the different aspects of the problem. Production routing problem is one of the problems of the integrated planning that is of interest in optimizing simultaneously production, inventory, and distribution planning. This paper has the purpose of developing two mono-objective models for the production-routing problem; one of them minimizes the total costs, while the other one minimizes the energy consumed by the production system. Finally, a bi-objective model is proposed to combine the two objectives mentioned previously using the LP-metric method in the context of a sustainable supply chain. Experimental results are also presented and discussed through the different scenarios.
解决集成生产和分配计划问题的有效方法:成本与能源
客户对短时间内高质量定制产品的期望越来越高,在质量和成本方面的全球竞争促使行业实施新的战略来管理他们的供应链决策。在此背景下,综合规划由于其效率和涵盖问题的不同方面的能力而成为运筹学领域中最具优势的方法。生产路线问题是集成计划中的一个问题,它涉及到同时优化生产、库存和分配计划。本文的目的是建立生产路线问题的两个单目标模型;其中一个使总成本最小化,而另一个使生产系统消耗的能源最小化。最后,提出了一个双目标模型,将前面提到的两个目标结合起来,在可持续供应链的背景下使用lp度量方法。通过不同的场景给出了实验结果并进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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