Procurement modes for emergency supplies in the presence of disaster and commercial demands

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Xiaochen Sun;Jinghui Zhang;Wei Hu
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引用次数: 4

Abstract

This paper studies alternative procurement modes for emergency supplies in the presence of a public sector and a private supplier. A key feature of such a supply chain is that the private supplier must consider commercial demand in addition to disaster demand. Three procurement modes are analysed: an option mode (OM), an order-before-disaster mode (OBDM) and a procurement-after-disaster mode (PADM). We provide the optimal decisions associated with these three modes. Theoretical results in the OM show that a large order is not always better for the private supplier. From theoretical and numerical comparative analyses, no mode is absolutely superior. For the public sector, there are two thresholds. When the disaster probability is less than the low threshold, the revenues of all procurement modes are the same; when the disaster probability is larger than the high threshold, the OBDM has the highest revenue; otherwise, the OM has the highest revenue. However, for the private supplier, the PADM always has the highest revenue.
发生灾害和商业需求时的应急物资采购模式
本文研究了在公共部门和私营供应商存在的情况下应急物资的替代采购模式。这种供应链的一个关键特征是,私人供应商除了考虑灾难需求外,还必须考虑商业需求。分析了三种采购模式:选择模式(OM)、灾前订单模式(OBDM)和灾后采购模式(PADM)。我们提供了与这三种模式相关的最优决策。OM中的理论结果表明,对于私人供应商来说,大订单并不总是更好的。从理论和数值的比较分析来看,没有一种模式是绝对优越的。对于公共部门,有两个门槛。当灾难概率小于低阈值时,所有采购模式的收入都是相同的;当灾害概率大于高阈值时,OBDM的收益最高;否则,OM的收入最高。然而,对于私人供应商来说,PADM的收入总是最高的。
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
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.
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