Reliable Facility Location Design Under the Risk of Disruptions

References

• Ball M. O., Lin F. L. A reliability model applied to emergency service vehicle location. Oper. Res. (1993) 41(1):18–36Link, Google Scholar
• Batta R., Dolan J. M., Krishnamurthy N. N. The maximal expected covering location problem: Revisited. Transportation Sci. (1989) 23(4):277–287Link, Google Scholar
• Berman O., Krass D., Menezes M. B. C. Facility reliability issues in network p-median problems: Strategic centralization and co-location effects. Oper. Res. (2007) 55(2):332–350Abstract, Google Scholar
• Campbell J. F. Continuous and discrete demand hub location problems. Transportation Res. Part B (1993a) 27(6):473–482Crossref, Google Scholar
• Campbell J. F. One-to-many distribution with transshipments: An analytic model. Transportation Sci. (1993b) 27(4):330–340Link, Google Scholar
• Daganzo C. F. The length of tours in zones of different shapes. Transportation Res. Part B (1984a) 18(2):135–146Crossref, Google Scholar
• Daganzo C. F. The distance traveled to visit N points with a maximum of C stops per vehicle: An analytic model and an application. Transportation Sci. (1984b) 18(4):331–350Link, Google Scholar
• Daganzo C. F.Logistics Systems Analysis (1992) 1st ed.(Springer, Berlin, Germany) Google Scholar
• Daganzo C. F., Erera A. L. On planning and design of logistics systems for uncertain environments. New Trends in Distribution Logistics (1999) (Springer, Berlin) 3–21Crossref, Google Scholar
• Daganzo C. F., Newell G. F. Configuration of physical distribution networks. Networks (1986) 16(2):113–132Crossref, Google Scholar
• Dasci A., Verter V. A continuous model for production-distribution system design. Eur. J. Oper. Res. (2001) 129(2):287–298Crossref, Google Scholar
• Daskin M. S. Application of an expected covering model to emergency medical service system design. Decision Sci. (1982) 13(3):416–439Crossref, Google Scholar
• Daskin M. S. A maximum expected covering location model: Formulation, properties and heuristic solution. Transportation Sci. (1983) 17(1):48–70Link, Google Scholar
• Daskin M. S.Network and Discrete Location: Models, Algorithms, and Applications (1995) (John Wiley, New York) Crossref, Google Scholar
• Drezner Z.Facility Location: A Survey of Applications and Methods (1995) (Springer, New York) Crossref, Google Scholar
• Fisher M. L. The Lagrangian relaxation method for solving integer programming problems. Management Sci. (1981) 27(1):1–18Link, Google Scholar
• Gersho A. Asymptotically optimal block quantization. IEEE Trans. Inform. Theory (1979) IT-25(4):373–380Crossref, Google Scholar
• Goldengorin B., Sierksma G., Tijssen G. A., Tso M. The data-correcting algorithm for the minimization of supermodular functions. Management Sci. (1999) 45(11):1539–1551Link, Google Scholar
• Hall R. W. Travel distance through transportation terminals on a rectangular grid. J. Oper. Res. Soc. (1984) 35(12):1067–1078Crossref, Google Scholar
• Hall R. W. Discrete models/continuous models. OMEGA—Internat. J. Management Sci. (1986) 14(3):213–220Crossref, Google Scholar
• Hall R. W. Configuration of an overnight package air network. Transportation Res. A (1989) 23A(2):139–149Crossref, Google Scholar
• Johnson W.Mathematical and Physical Principles of Engineering Analysis (1944) (McGraw Hill, New York) Google Scholar
• Kuhn H. W. The Hungarian method for the assignment problem. Naval Res. Logist. Quart. (1955) 2(1):83–97Crossref, Google Scholar
• Langevin A., Mbaraga P., Campbell J. F. Continuous approximation models in freight distribution: An overview. Transportation Res. Part B (1996) 30(3):163–188Crossref, Google Scholar
• Lim M., Daskin M. S., Bassamboo A., Chopra S. A facility reliability problem: Formulation, properties, and algorithm. Naval Res. Logist. (2009) 57(1):58–70Google Scholar
• Newell G. F. Dispatching policies for a transportation route. Transportation Sci. (1971) 5(1):91–105Link, Google Scholar
• Newell G. F. Scheduling, location, transportation and continuum mechanics: Some simple approximations to optimization problems. SIAM J. Appl. Math. (1973) 25(3):346–360Crossref, Google Scholar
• Ouyang Y. Design of vehicle routing zones for large-scale distribution systems. Transportation Res. Part B (2007) 41(10):1079–1093Crossref, Google Scholar
• Ouyang Y., Daganzo C. F. Discretization and validation of the continuum approximation scheme for terminal system design. Transportation Sci. (2006) 40(1):89–98Link, Google Scholar
• Qi L., Shen Z.-J. M. A supply chain design model with unreliable supply. Naval Res. Logist. (2007) 54(8):829–844Crossref, Google Scholar
• Qi L., Shen Z.-J. M., Snyder L. V. The effect of supply disruptions on supply chain design decisions. Transportation Sci. (2010) 44(2):274–289Link, Google Scholar
• Revelle C., Hogan K. The maximum availability location problem. Transportation Sci. (1989) 23(3):192–200Link, Google Scholar
• Shen Z.-J. M., Zhan R. L., Zhang J. The reliable facility location problem: Formulations, heuristics, and approximation algorithms. (2009) . Working paper, University of California, Berkeley, BerkeleyGoogle Scholar
• Sherali H. D., Alameddine A. A new reformulation-linearization technique for bilinear programming problems. J. Global Optim. (1992) 2(4):379–410Crossref, Google Scholar
• Snyder L. (2010) . http://www.lehigh.edu/∼lvs2.Accessed March 2010Google Scholar
• Snyder L. V., Daskin M. S. Reliability models for facility location: The expected failure cost case. Transportation Sci. (2005) 39(3):400–416Link, Google Scholar
• Weber A.Theory of the Location of Industries (1957) (University of Chicago Press, IL) Google Scholar