Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/74014
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Logistics and Maritime Studies | en_US |
dc.creator | Ni, W | en_US |
dc.creator | Shu, J | en_US |
dc.creator | Song, M | en_US |
dc.date.accessioned | 2018-03-29T07:15:56Z | - |
dc.date.available | 2018-03-29T07:15:56Z | - |
dc.identifier.issn | 1059-1478 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/74014 | - |
dc.language.iso | en | en_US |
dc.publisher | Wiley-Blackwell | en_US |
dc.rights | © 2017 Production and Operations Management Society | en_US |
dc.rights | This is the peer reviewed version of the following article: Ni, W., Shu, J., & Song, M. (2018). Location and emergency inventory pre‐positioning for disaster response operations: Min‐max robust model and a case study of Yushu earthquake. Production and Operations Management, 27(1), 160-183, which has been published in final form at https://doi.org/10.1111/poms.12789. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. | en_US |
dc.subject | Disaster relief | en_US |
dc.subject | Facility location | en_US |
dc.subject | Inventory pre-positioning | en_US |
dc.subject | Min-max robust optimization | en_US |
dc.subject | Network flow | en_US |
dc.title | Location and emergency inventory pre-positioning for disaster response operations : min-max robust model and a case study of Yushu earthquake | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 160 | en_US |
dc.identifier.epage | 183 | en_US |
dc.identifier.volume | 27 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1111/poms.12789 | en_US |
dcterms.abstract | Pre-positioning emergency inventory in selected facilities is commonly adopted to prepare for potential disaster threat. In this study, we simultaneously optimize the decisions of facility location, emergency inventory pre-positioning, and relief delivery operations within a single-commodity disaster relief network. A min-max robust model is proposed to capture the uncertainties in both the left- and right-hand-side parameters in the constraints. The former corresponds to the proportions of the pre-positioned inventories usable after a disaster attack, while the latter represents the demands of the inventories and the road capacities in the disaster-affected areas. We study how to solve the robust model efficiently and analyze a special case that minimizes the deprivation cost. The application of the model is illustrated by a case study of the 2010 earthquake attack at Yushu County in Qinghai Province of PR China. The advantage of the min-max robust model is demonstrated through comparison with the deterministic model and the two-stage stochastic model for the same problem. Experiment variants also show that the robust model outperforms the other two approaches for instances with significantly larger scales. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Production and operations management, Jan. 2018, v. 27, no. 1, p. 160-183 | en_US |
dcterms.isPartOf | Production and operations management | en_US |
dcterms.issued | 2018-01 | - |
dc.identifier.scopus | 2-s2.0-85032377820 | - |
dc.identifier.eissn | 1937-5956 | en_US |
dc.identifier.rosgroupid | 2017001773 | - |
dc.description.ros | 2017-2018 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 201802 bcrc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | LMS-0352 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6792443 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Song_Location_Emergency_Inventory.pdf | Pre-Published version | 1.62 MB | Adobe PDF | View/Open |
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