供应链中断的灵活构建时间模型

IF 1.9 3区工程技术 Q3 MANAGEMENT

IMA Journal of Management Mathematics Pub Date : 2024-04-09 DOI:10.1093/imaman/dpae007

James Kahn

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引用次数: 0

摘要

本文在一个具有资本货物多阶段生产和灵活的生产时间结构的一般均衡模型中，研究了临时供应链中断的影响。一个或多个阶段的生产中断会导致总体出货量下降，未完成订单和在制品库存与出货量的比率上升。该模型在 Covid-19 大流行期间对耐用品制造行业进行了校准，结果表明该模型能对临时性生产中断产生现实的动态响应。

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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A Flexible Time-to-Build Model of Supply Chain Disruptions

This paper examines the impact of temporary supply chain disruptions in a general equilibrium model with multiple stages of production for capital goods and a flexible time-to-build structure. Production disruptions at one or more stages result in declines in overall shipments and increases in the ratios of unfilled orders and work-in-process inventories to shipments. The model is calibrated to industries in durable goods manufacturing during the Covid-19 pandemic, and is shown to generate realistic dynamic responses to temporary production disruptions.

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来源期刊

IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

CiteScore

4.70

自引率

17.60%

发文量

审稿时长

>12 weeks

期刊介绍： The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.