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A relief supplies purchasing model based on a put option contract

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Author:

Hu, Zhongquan (Hu, Zhongquan.) | Tian, Jun (Tian, Jun.) | Feng, Gengzhong (Feng, Gengzhong.)

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EI SSCI SCIE Scopus Download Full text

Abstract:

Relief supply management is one of the most important parts in emergency management. Because of high uncertainty and time urgency, relief supplies should be purchased in advance as stock before disasters occurs. The purchasers of relief supplies are mainly governments. As in commercial supply management, governments face inventory risk and stock-out risk in their management of relief supplies. Stock-out risk can be solved by spot markets and in-kind donations, while there is no good solution to inventory risk. It is highly possible that pre-reserved relief supplies are not used within their validity periods because of the low frequency of disasters, which causes huge losses to governments. To solve the problem, we introduce a put option contract into relief supply management by considering the system as a relief supply chain. We explore the characteristics of the put option contract and prove that it can provide coordination of the relief supply chain. Furthermore, we make comparison between the put option contract, wholesale price contract and buyback contract under the same conditions to show the superiority of the put option contract. Meanwhile, we also present the condition that both a government and a supplier conduct transactions and achieve a win-win situation based on the put option contract. © 2018 Elsevier Ltd

Keyword:

Buy-back contracts Emergency management Low-frequency Model-based OPC Put options Supply chain coordination Supply management Wholesale price contract

Author Community:

  • [ 1 ] [Hu, Zhongquan;Tian, Jun;Feng, Gengzhong]School of Management, Xi'an Jiaotong University, No. 28 at, Xianning West Road of Xi'an City, Shaanxi Province; 710049, China
  • [ 2 ] [Hu, Zhongquan]Xi An Jiao Tong Univ, Sch Management, 28,Xianning West Rd, Xian 710049, Shaanxi, Peoples R China
  • [ 3 ] [Tian, Jun]Xi An Jiao Tong Univ, Sch Management, 28,Xianning West Rd, Xian 710049, Shaanxi, Peoples R China
  • [ 4 ] [Feng, Gengzhong]Xi An Jiao Tong Univ, Sch Management, 28,Xianning West Rd, Xian 710049, Shaanxi, Peoples R China

Reprint Author's Address:

  • Xi An Jiao Tong Univ, Sch Management, 28,Xianning West Rd, Xian 710049, Shaanxi, Peoples R China.

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Related Article:

Source :

Computers and Industrial Engineering

ISSN: 0360-8352

Year: 2019

Volume: 127

Page: 253-262

4 . 1 3 5

JCR@2019

5 . 4 3 1

JCR@2020

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:93

JCR Journal Grade:2

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 20

SCOPUS Cited Count: 68

30 Days PV: 5

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