A Multi-stage Stochastic Programming Approach for Pre-positioning of Relief Supplies

Pre-positioning of relief supplies is an important aspect of disaster operations management that aims at decreasing the response time by advancing procurement and storage of needed supplies. In this paper we consider commodity life-time period with the related costs in keeping the commodity and remo...

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Published inarXiv.org
Main Authors Oluwasegun Olanrewaju, Hu, Shaolong, Dong, Zhijie Sasha
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 14.04.2022
Subjects
Commodities
Operations management
Response time
Stochastic models
Stochastic programming
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Abstract Pre-positioning of relief supplies is an important aspect of disaster operations management that aims at decreasing the response time by advancing procurement and storage of needed supplies. In this paper we consider commodity life-time period with the related costs in keeping the commodity and removing it from the storage when it is close to expiration (i.e. holding and removal cost). We develop a multi-stage stochastic programming model for pre-positioning of relief supplies, which provides relief agencies insight on how to have dynamically control inventories due to uncertain demands when disasters (e.g., hurricane or earthquake) occur. We also present a case study based on mainland United States to illustrate the proposed model as well as provide managerial insights to relief agencies.
AbstractList Pre-positioning of relief supplies is an important aspect of disaster operations management that aims at decreasing the response time by advancing procurement and storage of needed supplies. In this paper we consider commodity life-time period with the related costs in keeping the commodity and removing it from the storage when it is close to expiration (i.e. holding and removal cost). We develop a multi-stage stochastic programming model for pre-positioning of relief supplies, which provides relief agencies insight on how to have dynamically control inventories due to uncertain demands when disasters (e.g., hurricane or earthquake) occur. We also present a case study based on mainland United States to illustrate the proposed model as well as provide managerial insights to relief agencies.
Author Oluwasegun Olanrewaju
Hu, Shaolong
Dong, Zhijie Sasha
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Operations management
Response time
Stochastic models
Stochastic programming
Title A Multi-stage Stochastic Programming Approach for Pre-positioning of Relief Supplies
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