Meta-Heuristic Approaches for Supply Chain Management

S. Srinivasan
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Abstract

Supply chain management (SCM) is essentially a set of approaches utilized to efficiently integrate suppliers, manufacturers, warehouses, and stores, so that merchandise is produced and distributed at the right quantities, to the right locations, and at the right time in order to minimize system-wide costs or maximize profits while satisfying service level requirements. To solve complex problems in SCM and to obtain optimization, various meta-heuristics algorithms can be used. Thus, this chapter discusses the background of meta-heuristics algorithms. The related work and future research direction for using meta-heuristics approaches for supply chain management are addressed in this chapter.
供应链管理的元启发式方法
供应链管理(SCM)本质上是一组用于有效地集成供应商、制造商、仓库和商店的方法,以便在正确的时间以正确的数量、正确的位置生产和分发商品,以便在满足服务水平要求的同时最小化系统范围内的成本或最大化利润。为了解决SCM中的复杂问题并获得优化,可以使用各种元启发式算法。因此,本章讨论了元启发式算法的背景。本章讨论了运用元启发式方法进行供应链管理的相关工作和未来的研究方向。
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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