Research on Model and Algorithm of Location-Inventory-Routing Problem Based on Environmental Protection

Jiacheng Li, M. Noto, Yang Zhang
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Abstract

With the advent of the post-industrial era, the problem of environmental degradation caused by the increase in carbon dioxide has become increasingly prominent. As a main source of greenhouse gas emissions, the operation of the logistics supply chain has been included as a major emission reduction target by the government. Traditional location-inventory-routing problem (LIRP) seldom involves the research of low-carbon development models and are therefore unsuitable for the economic and environmental dual-oriented development strategy advocated by society. On the basis of the traditional LIRP, this paper studies site selection, inventory, and route integration for low-carbon material distribution, constructs a low-carbon supply chain network model, and uses an improved sparrow search algorithm to solve the problem of maximizing the supply chain economy and overall optimization of the environment. Experimental verification shows that the proposed strategy is practical and effective in solving this problem.
基于环境保护的定位-库存-路径问题模型与算法研究
随着后工业时代的到来,二氧化碳增加导致的环境退化问题日益突出。作为温室气体排放的主要来源,物流供应链的运行已被政府列为主要的减排目标。传统的定位-库存-路径问题(LIRP)很少涉及低碳发展模式的研究,因此不适合社会提倡的经济和环境双重导向的发展战略。本文在传统LIRP的基础上,研究低碳物资配送的选址、库存和路径整合,构建低碳供应链网络模型,并采用改进的麻雀搜索算法解决供应链经济最大化和环境整体优化问题。实验验证表明,该策略能够有效地解决该问题。
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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