System dynamics modeling and robustness analysis for capital-constrained supply chain under disruption

稳健性(进化) 现金流 供应链 系统动力学 业务 稳健优化 供应链管理 产业组织 计算机科学 运筹学 微观经济学 经济 财务 数学优化 营销 工程类 数学 生物化学 基因 人工智能 化学
作者
Xiaoming Zhang,Yangyan Shi,Peng Zhang,Fang Xu,Chaozhe Jiang
出处
期刊:Industrial Management and Data Systems [Emerald (MCB UP)]
卷期号:123 (2): 492-514 被引量:4
标识
DOI:10.1108/imds-01-2022-0028
摘要

Purpose The purpose of this study is to explore mitigation measures for cash flow interruption during the epidemic and provide decision support to ensure the regular operation and robustness of the supply chain (SC). Design/methodology/approach Considering the scenarios of production capacity and demand disruption during the epidemic, the authors adopt system dynamics (SD) to construct a three-echelon SC financial system consisting of a core manufacturer, a capital-constrained retailer and the customer. In different interruption scenarios, through the decision adjustments of stakeholders, the differences in performance are compared to explore solutions for SC robust optimization. Findings The results show that partial credit guarantee (PCG) could solve cash flow interruption and maintain the regular operation of the SC. During epidemic, with the product price increases, the revenue of stakeholders and the robustness are generally negatively correlated. But when the manufacturer's production capacity is fully interrupted, increasing product price is the right decision for the retailer and could simultaneously promote performance and robustness. Originality/value This paper primarily focuses on the PCG under the cash flow interruption caused by epidemics. The authors adopt the supply chain finance (SCF) theory and SD method to supplement and expand existing research on interruption management of SC. It is a pioneering study to explore the robustness of the SC financial system under disruptions.
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