Facility Location Decisions with Random Disruptions and Imperfect Estimation
Published Online:14 Dec 2012https://doi.org/10.1287/msom.1120.0413
References
- . On correlated failures in survival storage systems. (2002) . Technical Report CMU-CS-02-129, Carnegie Mellon University, PittsburghGoogle Scholar
- . A reliability model applied to emergency service vehicle location. Oper. Res. (1993) 41(1):18–36Link, Google Scholar
- . Facility location with stochastic demand and constraints on waiting time. Manufacturing Service Oper. Management (2008) 10(3):484–505Link, Google Scholar
- . Covering-location models for emergency situations that require multiple response units. Management Sci. (1990) 36(1):16–23Link, Google Scholar
- . Location Theory (1968) (Random House, New York) Google Scholar
- . Robust optimization for emergency logistics planning: Risk mitigation of humanitarian relief supply chains. Transportation Res. B. (2011) 45(8):1177–1189Crossref, Google Scholar
- . Facility reliability issues in network p-median problems: Strategic centralization and co-location effects. Oper. Res. (2007) 55(2):332–350Link, Google Scholar
- . Locating facilities in the presence of disruptions and incomplete information. Decision Sci. (2009) 40(4):845–868Crossref, Google Scholar
- . Managing risk to avoid supply-chain breakdown. MIT Sloan Management Rev. (2004) 46(1):53–61Google Scholar
- . The importance of decoupling recurrent and disruption risks in a supply chain. Naval Res. Logist. (2007) 54(5):544–555Crossref, Google Scholar
- . Protecting critical assets: The r-interdiction median problem with fortification. Geographical Anal. (2007) 39(2):129–146Crossref, Google Scholar
- . Reliable facility location design under the risk of disruptions. Oper. Res. (2010) 58(4):998–1011Link, Google Scholar
- . Logistics System Analysis (2005) 4th ed.(Springer, Berlin) Google Scholar
- . On Planning and Design of Logistics Systems for Uncertain Environments, in New Trends in Distribution Logistics (1999) (Springer, Berlin) Google Scholar
- . A continuous model for production-distribution system design. Eur. J. Oper. Res. (2001) 129(2):287–298Crossref, Google Scholar
- . Facility Location: Applications and Theory (2002) (Springer, Berlin) Crossref, Google Scholar
- . Travel distance through transportation terminals on a rectangular grid. J. Oper. Res. Soc. (1984) 35(12):1067–1078Crossref, Google Scholar
- . An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production Oper. Management (2005) 14(1):35–52Crossref, Google Scholar
- . Managing disruption risks in supply chains. Production Oper. Management (2005) 14(1):53–68Crossref, Google Scholar
- . Continuous approximation models in freight distribution: An overview. Transportation Res. B. (1996) 30(3):163–188Crossref, Google Scholar
- . A continuum approximation approach to reliable facility location design under correlated probabilistic disruptions. Transportation Res. B. (2010) 44(4):535–548Crossref, Google Scholar
- . Risk Management of Supply and Cash Flows in Supply Chains (2011) (Springer, New York) Crossref, Google Scholar
- . A facility reliability problem: Formulation, properties and algorithm. Naval Res. Logist. (2010) 57(1):58–70Crossref, Google Scholar
- . Agility and proximity considerations in supply chain design—An analytical approach. (2011) . Working paper, Hong Kong University of Science and Technology, Hong KongGoogle Scholar
- Munich Re Group Topics Geo natural catastrophes 2007. (2008) . Report. Accessed August 2011, http://www.munichre.com/publications/302-05699_en.pdfGoogle Scholar
- . Scheduling, location, transportation and continuous mechanics: Some simple approximations to optimization problems. SIAM J. Appl. Math. (1973) 25(3):346–360Crossref, Google Scholar
- . Discretization and validation of the continuum approximation scheme for terminal system design. Transportation Sci. (2006) 40(1):89–98Link, Google Scholar
- . The siting of emergency service facilities with workload capacities and backup service. Management Sci. (1988) 34(7):896–908Link, Google Scholar
- . Building a secure and resilient supply network. Supply Chain Management Rev. (2003) 7(5):22–30Google Scholar
- . A supply chain view of the resilient enterprise. MIT Sloan Management Rev. (2005) 47(1):41–48Google Scholar
- . Reliability models for facility location: The expected failure cost case. Transportation Sci. (2005) 39(3):400–416Link, Google Scholar
- . Stochastic p-robust location problems. IIE Tran. (2006) 38(11):971–985Crossref, Google Scholar
- . Sigma report: Natural catastrophes and Man-made disasters. (2009) . Report. Accessed August 2011, http://www.swissre.com/resources/dd6346004d4e9669ac76eecedd316cf3-sigma2_2009_e.pdfGoogle Scholar
- . The Black Swan: The Impact of the Highly Improbable (2007) (Random House, New York) Google Scholar
- . Perspectives in supply chain risk management. Internat. J. Production Econom. (2006) 103(2):451–488Crossref, Google Scholar
- . On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Sci. (2006) 52(5):639–657Link, Google Scholar
- . Reliability modeling in spatially distributed logistics systems. IEEE Tran. Reliability (2006) 55(3):525–534Crossref, Google Scholar

