Presenting a Mixed Meta-Heuristic Method with the Aim of Optimizing Logistics for Production Planning in Industrial Units

Mohammad Taleghani
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Abstract

With the aim of strategic optimization in the design of logistics networks to improve the efficiency of the business space, the author of this paper developed a method called integrative hybrid search and by imposing suitable conditions on the general model, it was applied to various real-world problems of business, production and They used the operation. However, during a planning horizon for a design, various changes usually occur that are assumed to be fixed in such strategic or static considerations. Therefore, in this study, the previous methods have been expanded as much as possible so that we can make a reliable and more reliable and operational decision by considering the dynamic conditions and focusing on the role of warehouse inventory system management in the planning horizon. Finally, it is possible to show the importance of multi-objective programming and the validity of the proposed method in comparison with commercial software through numerical tests and quantitative tests.
提出一种以优化工业单位生产计划物流为目标的元逻辑混合方法
为了在物流网络设计中进行战略优化,以提高业务空间的效率,本文作者开发了一种称为综合混合搜索的方法,并通过对一般模型施加适当的条件,将其应用于各种现实世界中的业务、生产和他们使用的操作问题。然而,在设计的规划期限内,通常会发生各种变化,而这些变化在此类战略或静态考虑中被假定为固定不变的。因此,在本研究中,我们尽可能地扩展了以往的方法,以便通过考虑动态条件,关注仓库库存系统管理在规划期限内的作用,从而做出可靠的、更具操作性的决策。最后,通过数值测试和定量测试,可以说明多目标程序设计的重要性以及所提方法与商业软件比较的有效性。
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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