Pooling and Dependence of Demand and Yield in Multiple-Location Inventory Systems

Published Online:https://doi.org/10.1287/msom.2013.0469

References

  • Benjaafar S, Cooper WL, Kim JS (2005) On the benefits of pooling in production-inventory systems. Management Sci. 51(4):548–565.LinkGoogle Scholar
  • Berman O, Krass D, Tajbakhsh MM (2011) On the benefits of risk pooling in inventory management. Production Oper. Management 20(1):57–71.CrossrefGoogle Scholar
  • Bertsimas D, Popescu I (2004) Optimal inequalities in probability theory: A convex optimization approach. SIAM J. Optim. 15(3):780–804.CrossrefGoogle Scholar
  • Clemen RT, Reilly T (1999) Correlations and copulas for decision and risk analysis. Management Sci. 45(2):208–224.LinkGoogle Scholar
  • Corbett CJ, Rajaram K (2006) A generalization of the inventory pooling effect to nonnormal dependent demand. Manufacturing Service Oper. Management 8(4):351–358.LinkGoogle Scholar
  • Dhaene J, Denuit M (1999) The safest dependence structure among risks. Insurance: Math. Econom. 25(1):11–21.CrossrefGoogle Scholar
  • Eppen GD (1979) Effects of centralization on expected costs on the multi-location newsboy problem. Management Sci. 25(5):498–501.LinkGoogle Scholar
  • Foreman J, Gallien J, Alspaugh J, Lopez F, Bhatnagar R, Teo CC, Dubois C (2010) Implementing supply-routing optimization in a make-to-order manufacturing network. Manufacturing Service Oper. Managment 12(4):547–568.LinkGoogle Scholar
  • Gerchak Y, He QM (2003) On the relation between the benefits of risk pooling and the variability of demand. IIE Trans. 35(11):1027–1031.CrossrefGoogle Scholar
  • Goh J, Sim M (2010) Distributionally robust optimization and its tractable approximations. Oper. Res. 58(4):902–917.LinkGoogle Scholar
  • Gresh DL, Kelton EI (2003) Visualization, optimization, and business strategy: A case study. Turk G, van Wijk JJ, Moorhead R, eds. Proc. 14th IEEE Visualization 2003 (IEEE Computer Society, Los Alamitos, CA), 531–538.CrossrefGoogle Scholar
  • Joe H (1990) Multivariate concordance. J. Multivariate Anal. 35(1):12–30.CrossrefGoogle Scholar
  • Joe H (1997) Multivariate Models and Dependence Concepts (Chapman and Hall, London).CrossrefGoogle Scholar
  • Jordan WC, Graves SC (1995) Principles and benefits of manufacturing process flexibility. Management Sci. 41(4):577–594.LinkGoogle Scholar
  • Mak HY, Shen ZJ (2012) Risk pooling and risk diversification in supply chain design. IIE Trans. 44(8):603–621.CrossrefGoogle Scholar
  • Müller A (1997) Stop-loss order for portfolios of dependent risks. Insurance: Math. Econom. 21(3):219–233.CrossrefGoogle Scholar
  • Müller A, Scarsini M (2000) Some remarks on the supermodular order. J. Multivariate Anal. 73(1):107–119.CrossrefGoogle Scholar
  • Robinson LW (1990) Optimal and approximate policies in multiperiod, multilocation inventory models with transshipments. Oper. Res. 38(2):278–295.LinkGoogle Scholar
  • Shaked M, Shanthikumar JG (2007) Stochastic Orders (Springer, New York).CrossrefGoogle Scholar
  • Shaked M, Shanthikumar JG (1997) Supermodular stochastic orders and positive dependence of random vectors. J. Multivariate Anal. 61(1):86–101.CrossrefGoogle Scholar
  • Simchi-Levi D, Wei Y (2012) Understanding the performance of the long chain and sparse designs in process flexibility. Oper. Res. 60(5):1125–1141.LinkGoogle Scholar
  • Snyder LV, Shen ZJM (2006) Supply and demand uncertainty in multi-echelon supply chains. Working paper, Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA.Google Scholar
  • Tomlin B (2006) On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Sci. 52(5):639–657.LinkGoogle Scholar
  • Topkis DM (1998) Supermodularity and Complementarity (Princeton University Press, Princeton, NJ).CrossrefGoogle Scholar
  • Van Mieghem JA, Rudi N (2002) Newsvendor networks: Inventory management and capacity investments with discretionary activities. Manufacturing Service Oper. Management 4(4):313–335.LinkGoogle Scholar
  • Xu PJ, Allgor R, Graves SC (2009) Benefits of reevaluating real-time order fulfillment decisions. Manufacturing Service Oper. Management 11(2):340–355.LinkGoogle Scholar
  • Zhang J (2005) Transshipment and its impact on supply chain members' performance. Management Sci. 51(10):1534–1539.LinkGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.