Public–private collaborations in humanitarian relief supplies: Incentive reserve contracts

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yijing Cao , Jun Tian , Kai Huang
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Abstract

Collaboration between nonprofit organizations (NPOs) and enterprises plays a crucial role in disaster preparedness. However, the pressures of high risk, high cost, and uncertainty can deter enterprises from maintaining strategic reserves before a disaster, potentially leading to inefficiencies in private enterprise participation in disaster relief. This study develops incentive reserve contracts enhance partnerships between NPOs and enterprise and secure humanitarian supplies. We evaluate two levers widely used by NPOs, physical procurement reserves and incentive coefficient, which jointly influence enterprises’ autonomous production capacity reserves. Importantly, simultaneous reserve and priority reserve are different. Furthermore, disasters often trigger price fluctuations in spot markets, complicating temporary procurement for unmet pre-disaster demands. We focus on the actual demand and market variations for different supplies to design differentiated reserves and incentives. Our findings indicate that incentive contracts are more flexible and cost-effective than advance payments for the same reserves, particularly when NPOs prioritize reserves. We further extend the model to consider corporate social responsibility, probability of emergencies, and different distribution functions of demand to examine the generality and applicability of the proposed approach, which is also verified by numerical experiments. In summary, this study provides better guidance for relief supply chain players dealing with various supplies and disaster environments, increases corporate engagement, and improves the overall efficiency of relief supply reservation.

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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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