考虑环境污染的木材供应链库存管理新模型:遗传算法

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Foundations of Computing and Decision Sciences Pub Date : 2022-12-01 DOI:10.2478/fcds-2022-0021
A. Babaeinesami, P. Ghasemi, Adel Pourghader Chobar, M. R. Sasouli, Masoumeh Lajevardi
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引用次数: 7

摘要

摘要如今,公司需要承担起应对不断增长的市场和客户日益增长的期望的责任,以在每天都在进步的高度竞争环境中生存。快速的经济变化和全球市场日益增长的竞争压力促使公司特别关注其供应链。因此,在本研究中,提出了一个考虑环境影响的闭环供应链成本最小化的数学模型。因此,供应商首先将木材作为原材料从森林运往工厂。在加工木材并将其制成产品后,工厂将木材送到零售商那里。然后,零售商将产品发送给顾客。最后,客户将退回的产品送到回收中心。处理完产品后,回收中心将产品送到工厂。考虑的创新包括:设计一个关于环境影响的木制品供应链,定制遗传解决方案方法来解决所提出的模型3-考虑木制品的流动,并确定发送和接收的原材料和产品的数量。
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A New Wooden Supply Chain Model for Inventory Management Considering Environmental Pollution: A Genetic algorithm
Abstract Nowadays, companies need to take responsibility for addressing growing markets and the growing expectations of their customers to survive in a highly competitive context that is progressing on a daily basis. Rapid economic changes and increasing competitive pressure in global markets have led companies to pay special attention to their supply chains. As a result, in this research, a mathematical model is proposed to minimize closed loop supply chain costs taking into account environmental effects. Thus, suppliers first send wood as raw materials from forests to factories. After processing the wood and turning it into products, the factories send the wood to retailers. The retailers then send the products to the customers. Finally, customers send returned products to recovery centers. After processing the products, the recovery centers send their products to the factories. The considered innovations include: designing a supply chain of wood products regarding environmental effects, customizing the genetic solution approach to solve the proposed model 3-Considering the flow of wood products and determining the amount of raw materials and products sent and received.
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
期刊最新文献
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