The Effect of Supply Disruptions on Supply Chain Design Decisions

Published Online:https://doi.org/10.1287/trsc.1100.0320

References

  • Barrionuevo A., Deutsch C. H. A distribution system brought to its knees. New York Times (2005) September 1):C1Google Scholar
  • Berk E., Arreola-Risa A. Note on “future supply uncertainty in EOQ models”. Naval Res. Logist. (1994) 41:129–132CrossrefGoogle 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):332–350LinkGoogle Scholar
  • Church R. L., Scaparra M. P. Protecting critical assets: The r-interdiction median problem with fortification. Geographical Anal. (2007) 39:129–146CrossrefGoogle Scholar
  • Cui T., Ouyang Y., Shen Z. M. Reliable facility location design under the risk of disruptions. Oper. Res. (2009) . ForthcomingGoogle Scholar
  • Daskin M. S.Network and Discrete Location: Models, Algorithms, and Applications (1995) (John Wiley & Sons, New York) CrossrefGoogle Scholar
  • Daskin M. S., Coullard C., Shen Z. J. An inventory-location model: Formulation, solution algorithm and computational results. Ann. Oper. Res. (2002) 110:83–106CrossrefGoogle Scholar
  • Erlenkotter D. A dual-based procedure for uncapacitated facility location. Oper. Res. (1978) 26(6):992–1009LinkGoogle Scholar
  • Fisher M. L. The Lagrangian relaxation method for solving integer programming problems. Management Sci. (1981) 27(1):1–18LinkGoogle Scholar
  • Greenhouse S. Both sides see gains in deal to end port labor dispute. New York Times (2002) November 25):A14Google Scholar
  • Gupta D. The (Q, r) inventory system with an unreliable supplier. INFOR (1996) 34:59–76Google Scholar
  • Halkias M. Wal-mart lets down its guard. Dallas Morning News (Texas) (2005) September 14Google Scholar
  • Heimann D., Waage F. A closed-form approximation solution for an inventory model with supply disruptions and non-ZIO reorder policy. J. Systemics, Cybernetics Informatics (2007) 5:1–12Google Scholar
  • Kim H., Lu J. C., Kvam P. H. Ordering quantity decisions considering uncertainty in supply-chain logistics operations. (2005) . Working paper, Georgia Institute of Technology, AtlantaGoogle Scholar
  • Parlar M. Continuous-review inventory problem with random supply interruptions. Eur. J. Oper. Res. (1997) 99:366–385CrossrefGoogle Scholar
  • Parlar M., Berkin D. Future supply uncertainty in EOQ models. Naval Res. Logist. (1991) 38:107–121CrossrefGoogle Scholar
  • Parlar M., Perry D. Analysis of a (q, r, t) inventory policy with deterministic and random yields when future supply is uncertain. Eur. J. Oper. Res. (1995) 84:431–443CrossrefGoogle Scholar
  • Qi L., Shen Z. M. A supply chain design model with unreliable supply. Naval Res. Logist. (2007) 54:829–844CrossrefGoogle Scholar
  • Qi L., Shen Z. M., Snyder L. V. A continuous-review inventory model with disruptions at both supplier and retailer. Production Oper. Management (2009) 18:516–532CrossrefGoogle Scholar
  • Ross S. M.Stochastic Processes (1996) 2nd ed.(John Wiley & Sons, Inc., New York) Google Scholar
  • Scaparra M. P., Church R. L. A bilevel mixed-integer program for critical infrastructure protection planning. Comput. Oper. Res. (2008) 35:1905–1923CrossrefGoogle Scholar
  • Schmitt A. J., Snyder L. V., Shen Z. M. Centralization versus decentralization: Risk pooling, risk diversification, and supply uncertainty in a one-warehouse multiple-retailer system. Eur. J. Oper. Res. (2008) . ForthcomingGoogle Scholar
  • Shen Z. M. Integrated supply chain design models: A survey and future research directions. J. Indust. Management Optim. (2007) 3:1–27CrossrefGoogle Scholar
  • Shen Z. M., Qi L. Incorporating inventory and routing costs in strategic location models. Eur. J. Oper. Res. (2007) 179:372–389CrossrefGoogle Scholar
  • Shen Z. M., Coullard C., Daskin M. S. A joint location-inventory model. Transportation Sci. (2003) 37(1):40–55LinkGoogle Scholar
  • Shen Z. M., Zhan R., Zhang J. The reliable facility location problem: Formulations, heuristics, and approximation algorithms. INFORMS J. Comput. (2008) . ForthcomingGoogle Scholar
  • Shu J., Teo C. P., Shen Z. J. Stochastic transportation-inventory network design problem. Oper. Res. (2005) 53(1):48–60LinkGoogle Scholar
  • Silver E. A., Peterson R.Decision Systems for Inventory Management and Production Planning (1985) (John Wiley & Sons, New York) Google Scholar
  • Snyder L. V. A tight approximation for a continuous-review inventory model with supplier disruptions. (2008) . Working paper, Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PAGoogle Scholar
  • Snyder L. V., Daskin M. S. Reliability models for facility location: The expected failure cost case. Transportation Sci. (2005) 39(3):400–416LinkGoogle Scholar
  • Snyder L. V., Daskin M. S., Murray A. T., Grubesic T. H. Models for reliable supply chain network design. Critical Infrastructure: Reliability and Vulnerability (2007) (Springer-Verlag, Berlin) 257–289CrossrefGoogle Scholar
  • Snyder L. V., Daskin M. S., Teo C. P. The stochastic location model with risk pooling. Eur. J. Oper. Res. (2007) 179:1221–1238CrossrefGoogle Scholar
  • Snyder L. V., Scaparra M. P., Daskin M. S., Church R. L., Johnson M. P., Norman B., Secomandi N. Planning for disruptions in supply chain networks. TutORials in Operations Research (2006) (INFORMS, Baltimore) 234–257LinkGoogle Scholar
  • Snyder L. V., Bulut Z., Peng P., Rong Y., Schmitt A. J., Sinsoysal B. Supply chain disruptions: A review. (2009) . Working paper, Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PAGoogle Scholar
  • Tomlin B. T. On the value of mitigation and contingency strategies for managing supply-chain disruption risks. Management Sci. (2006) 52(5):639–657LinkGoogle Scholar
  • Tuy H., Ghannadan S., Migdalas A., Varbrand P. A strongly polynomial algorithm for a concave production-transportation problem with a fixed number of nonlinear variables. Math. Programming (1996) 72:229–258CrossrefGoogle Scholar
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