Optimal Sparse Designs for Process Flexibility via Probabilistic Expanders

Published Online:https://doi.org/10.1287/opre.2015.1416

References

  • Asratian AS, Denley TMJ, Haggkvist R (1998) Bipartite Graphs and Their Applications (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Bassamboo A, Randhawa RS, Van Mieghem JA (2010) Optimal flexibility configurations in newsvendor networks: Going beyond chaining and pairing. Management Sci. 56(8):1285–1303.LinkGoogle Scholar
  • Buzacott JA, Mandelbaum M (2008) Flexibility in manufacturing and services: Achievements, insights and challenges. Flexible Services Manufacturing J. 20(1):13–58.CrossrefGoogle Scholar
  • Chou MC, Teo CP, 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 CP, 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 CP, Zheng H (2011) Process flexibility revisited: The graph expander and its applications. Oper. Res. 59(5):1090–1105.LinkGoogle Scholar
  • Chung FRK (1996) Spectral Graph Theory (American Mathematical Society, Providence, RI).CrossrefGoogle Scholar
  • Deng T, Shen Z-JM (2013) Process flexibility design in unbalanced networks. Manufacturing Service Oper. Managment 15(1):24–32.LinkGoogle Scholar
  • Désir A, Goyal V, Wei Y, Zhang J (2014) Sparse process flexibility designs: Is long chain really optimal? Working paper, Columbia University, New York.Google Scholar
  • Graves S, Tomlin B (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
  • Hopp WJ, Tekin E, Oyen MPV (2004) Benefits of skill chaining in serial production lines with cross-trained workers. Management Sci. 50(1):83–98.LinkGoogle Scholar
  • Jordan W, Graves S (1995) Principles on the benefits of manufacturing process flexibility. Management Sci. 41(4):577–594.LinkGoogle Scholar
  • Lubotzky A, Phillips R, Sarnak P (1988) Ramanujan graphs. Combinatorica 8(3):261–277.CrossrefGoogle Scholar
  • Radhakrishnan J, Ta-Shma A (2000) Bounds for dispersers, extractors, and depth-two superconcentrators. SIAM J. Discrete Math. 13(1):2–24.CrossrefGoogle Scholar
  • Shi D, Daniels RL (2003) A survey of manufacturing flexibility: Implications for e-business. IBM System J. 42(3):414–427.CrossrefGoogle Scholar
  • Simchi-Levi D (2010) Operations Rules: Delivering Customer Value Through Flexible Operations (MIT Press, Cambridge, MA).Google Scholar
  • Simchi-Levi D, Wei Y (2012) Understanding the performance of the long chain and sparse design 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
  • Tsitsiklis JN, Xu K (2013) Queueing system topologies with limited flexibility. Proc. ACM SIGMETRICS (ACM, New York), 167–178.CrossrefGoogle Scholar
  • Upton DM (1994) The management of manufacturing flexibility. California Management Rev. 36(2):72–89.CrossrefGoogle Scholar
  • Wallace RB, Ward W (2005) A staffing algorithm for call centers with skill-based routing. Manufacturing Service Oper. Managment 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
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.