考虑分销商不确定性的供应链优化数学规划方法设计

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Foundations of Computing and Decision Sciences Pub Date : 2022-12-01 DOI:10.2478/fcds-2022-0022
P. Chetthamrongchai, Johnry Dayupay, Sevdie Alshiqi, T. Alghazali, A. H. Iswanto, Luigi Pio Leonardo Cavaliere, Ahmed Kateb Jumaah Al-Nussairi, Karrar Hatif Mohmmed, M. Kadhim
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引用次数: 0

摘要

摘要随着市场的全球化和全球市场竞争的加剧,组织在这个市场上生存的尝试越来越多,并导致了供应链管理哲学的出现。由于自然灾害、恐怖袭击、劳动力错误和天气条件等原因,供应链设施的可靠性存在不确定性。因此,在做出战略决策时,系统将继续以最小的损害运行。在本研究过程中,对供应链中供应商层的不确定性进行了建模。为了实现这一目标,考虑了包括生产商、仓库、供应商和消费者在内的供应链问题。为了计算由于分销商无法运作而导致的故障成本,采用了情景构建方法。最后,用Gomez软件对期望的模型进行了求解,并给出了结果。研究结果证明了该模型在供应链设施选址决策中的有效性。
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Design a Mathematical Planning Approach to Optimize the Supply Chain Taking Into Account Uncertainties In Distributors
Abstract With the globalization of markets and increasing competition in global markets, the attempts of organizations to survive in this market has increased and has resulted in the emergence of the philosophy of Supply Chain Management. There is uncertainty in the reliability of supply chain facilities for reasons such as natural disasters, terrorist attacks, labor errors, and weather conditions. Therefore, when making strategic decisions, the system will continue to operate with minimal damage. Over the course of this study, the uncertainty of supplier layers in the supply chain has been modeled. To meet that aim, the issue of supply chain, including producers, warehouses, suppliers and consumers are considered. To calculate the cost of breakdowns due to the non-functioning of distributors, the scenario-building method has been utilized. Finally, the desired model is solved with Gomez software and the results are presented. The result of the study demonstrate the efficiency of this model in the facility location decision-making in supply chains.
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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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