Joint inventory-location problem under the risk of probabilistic facility disruptions
This paper studies a reliable joint inventory-location problem that optimizes facility locations, customer allocations, and inventory management decisions when facilities are subject to disruption risks (e.g., due to natural or man-made hazards). When a facility fails, its customers may be reassigned to other operational facilities in order to avoid the high penalty costs associated with losing service. We propose an integer programming model that minimizes the sum of facility construction costs, expected inventory holding costs and expected customer costs under normal and failure scenarios. We develop a Lagrangian relaxation solution framework for this problem, including a polynomial-time exact algorithm for the relaxed nonlinear subproblems. Numerical experiment results show that this proposed model is capable of providing a near-optimum solution within a short computation time. Managerial insights on the optimal facility deployment, inventory control strategies, and the corresponding cost constitutions are drawn.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier
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Authors:
- Chen, Qi
- Li, Xiaopeng
- Ouyang, Yanfeng
- Publication Date: 2011-8
Language
- English
Media Info
- Media Type: Print
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 991-1003
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Serial:
- Transportation Research Part B: Methodological
- Volume: 45
- Issue Number: 7
- Publisher: Elsevier
- ISSN: 0191-2615
- Serial URL: http://www.sciencedirect.com/science/journal/01912615
Subject/Index Terms
- TRT Terms: Costs; Failure analysis; Integer programming; Inventory control; Lagrangian functions; Location; Supply chain management
- Uncontrolled Terms: Business disruption
- Subject Areas: Administration and Management; Freight Transportation; Terminals and Facilities;
Filing Info
- Accession Number: 01350266
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 22 2011 7:51AM