Online Demand Fulfillment Under Limited Flexibility

Published Online:https://doi.org/10.1287/mnsc.2019.3449

References

  • Acimovic J, Graves SC (2014) Making better fulfillment decisions on the fly in an online retail environment. Manufacturing Service Oper. Management 17(1):34–51.LinkGoogle Scholar
  • Asadpour A, Wang X, Zhang J (2019) Online resource allocation with limited flexibility. Management Sci., ePub ahead of print September 5, https://pubsonline.informs.org/doi/10.1287/mnsc.2018.3220.Google Scholar
  • Bassamboo A, Mieghem JAV, Randhawa RS (2010) Optimal flexibility configurations in newsvendor networks: Going beyond chaining and pairing. Management Sci. 56(8):1285–1303.LinkGoogle Scholar
  • Bušić A, Meyn S (2015) Approximate optimality with bounded regret in dynamic matching models. ACM SIGMETRICS Performance Evaluation Rev. 43(2):75–77.CrossrefGoogle Scholar
  • Bušić A, Gupta V, Mairesse J (2013) Stability of the bipartite matching model. Adv. Appl. Probab. 45(2):351–378.CrossrefGoogle Scholar
  • Chen X, Zhang J, Zhou Y (2015) Optimal sparse designs for process flexibility via probabilistic expanders. Oper. Res. 63(5):1159–1176.LinkGoogle Scholar
  • Chen X, Ma T, Zhang J, Zhou Y (2019) Optimal design of process flexibility for general production systems. Oper. Res. 67(2):516–531.Google Scholar
  • Chou MC, Teo C-P, Zheng H (2008) Process flexibility: Design, evaluation, and applications. Flexible Services Manufacturing J. 20(1–2):59–94.CrossrefGoogle Scholar
  • Chou MC, Chua GA, Teo C-P, Zheng H (2010) Design for process flexibility: Efficiency of the long chain and sparse structure. Oper. Res. 58(1):43–58.LinkGoogle Scholar
  • Chou MC, Chua GA, Teo C-P, Zheng H (2011) Process flexibility revisited: The graph expander and its applications. Oper. Res. 59(5):1090–1105.LinkGoogle Scholar
  • Deng T (2013) Process flexibility design in unbalanced and asymmetric networks. PhD thesis, University of California, Berkeley.Google Scholar
  • Désir A, Goyal V, Wei Y, Zhang J (2016) Sparse process flexibility designs: Is the long chain really optimal? Oper. Res. 64(2):416–431.LinkGoogle Scholar
  • Ding Y, McCormick S, Nagarajan M (2018) A fluid model for an overloaded bipartite queueing system with heterogeneous matching utility. Working paper, University of British Columbia, Vancouver, BC, Canada.Google Scholar
  • Feldman J, Mehta A, Mirrokni V, Muthukrishnan S (2009) Online stochastic matching: Beating 1-1/e. Proc. 50th Annual IEEE Symp. Foundations Comput. Sci. (FOCS), (IEEE, Piscataway, NJ), 117–126.Google Scholar
  • Graves SC, Tomlin BT (2003) Process flexibility in supply chains. Management Sci. 49(7):907–919.LinkGoogle Scholar
  • Gurumurthi S, Benjaafar S (2004) Modeling and analysis of flexible queueing systems. Naval Res. Logist. 51(5):755–782.CrossrefGoogle Scholar
  • Iravani SMR, Kolfal B, Van Oyen MP (2007) Call-center labor cross-training: It’s a small world after all. Management Sci. 53(7):1102–1112.LinkGoogle Scholar
  • Iravani SMR, Van Oyen MP, Sims KT (2005) Structural flexibility: A new perspective on the design of manufacturing and service operations. Management Sci. 51(2):151–166.LinkGoogle Scholar
  • Jaillet P, Lu X (2013) Online stochastic matching: New algorithms with better bounds. Math. Oper. Res. 39(3):624–646.LinkGoogle Scholar
  • Jasin S, Sinha A (2015) An LP-based correlated rounding scheme for multi-item ecommerce order fulfillment. Oper. Res. 63(6):1336–1351.LinkGoogle Scholar
  • Jordan WC, Graves SC (1995) Principles on the benefits of manufacturing process flexibility. Management Sci. 41(4):577–594.LinkGoogle Scholar
  • Mandelbaum A, Stolyar AL (2004) Scheduling flexible servers with convex delay costs: Heavy-traffic optimality of the generalized c\mu-rule. Oper. Res. 52(6):836–855.LinkGoogle Scholar
  • Manshadi VH, Gharan SO, Saberi A (2012) Online stochastic matching: Online actions based on offline statistics. Math. Oper. Res. 37(4):559–573.LinkGoogle Scholar
  • Shen Z-JM, Deng T (2013) Process flexibility design in unbalanced networks. Manufacturing Service Oper. Management 15(1):24–32.LinkGoogle Scholar
  • Sheng L, Zheng H, Rong Y, Huh WT (2015) Flexible system design: A perspective from service levels. Oper. Res. Lett. 43(3):219–225.CrossrefGoogle Scholar
  • Shi C, Wei Y, Zhong Y (2019) Process flexibility for multiperiod production systems. Oper. Res., ePub ahead of print August 6, https://doi.org/10.1287/opre.2018.1810.LinkGoogle 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
  • Simchi-Levi D, Wei Y (2015) Worst-case analysis of process flexibility designs. Oper. Res. 63(1):166–185.LinkGoogle Scholar
  • Simchi-Levi D, Wang H, Wei Y (2018) Increasing supply chain robustness through process flexibility and inventory. Production Oper. Management 27(8):1476–1491.CrossrefGoogle Scholar
  • Tanrisever F, Morrice D, Morton D (2012) Managing capacity flexibility in make-to-order production environments. Eur. J. Oper. Res. 216(2):334–345.CrossrefGoogle Scholar
  • Tsitsiklis JN, Xu K (2017) Flexible queueing architectures. Oper. Res. 65(5):1398–1413.LinkGoogle Scholar
  • Van Roy B, Bertsekas DP, Lee Y, Tsitsiklis JN (1997) A neuro-dynamic programming approach to retailer inventory management. Proc. 36th IEEE Conf. Decision Control, vol. 4 (IEEE, Piscataway, NJ), 4052–4057.Google Scholar
  • Wallace RB, Whitt W (2005) A staffing algorithm for call centers with skill-based routing. Manufacturing Service Oper. Management 7(4):276–294.LinkGoogle Scholar
  • Wang X, Zhang J (2015) Process flexibility: A distribution-free bound on the performance of k-chain. Oper. Res. 63(3):555–571.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
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.