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首页> 外文期刊>International journal of operations research and information systems >Multi-Objective Artificial Bee Colony Algorithm for Multi-Echelon Supply Chain Optimization Problem: An Indian Case Study
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Multi-Objective Artificial Bee Colony Algorithm for Multi-Echelon Supply Chain Optimization Problem: An Indian Case Study

机译:多级供应链优化问题的多目标人工蜂群算法:印度案例研究

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摘要

Supply Chain Management has become an integrated part of today's industries. Advancement in technology in this field is the key to the successful operation of businesses. Many techniques and algorithms have a risen dealing with the challenging problems of present industry. In this paper, we have deployed an Artificial Bee Colony algorithm to solve a multi-echelon, multi-objective supply chain problem. Also, we have explained the working of the algorithm while applying it to our problem through various mathematical formulations to get a set of results.
机译:供应链管理已成为当今行业不可或缺的一部分。该领域的技术进步是企业成功运营的关键。处理当前行业的挑战性问题的许多技术和算法已经兴起。在本文中,我们部署了人工蜂群算法来解决多级,多目标供应链问题。同样,我们已经解释了算法的工作原理,同时通过各种数学公式将其应用于我们的问题以获得一组结果。

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