OM Forum—OM Research: From Problem-Driven to Data-Driven Research

References

• Braca J, Bramel J, Posner B, Simchi-Levi D (1997) A computerized approach to the New York City school bus routing problem. IIE Trans. 29(8):693–702.Crossref, Google Scholar
• Bramel J, Simchi-Levi D (1995) A location based heuristic for general routing problems. Oper. Res. 43(4):649–660.Link, Google Scholar
• Bramel J, Simchi-Levi D (1996) Probabilistic analyses and practical algorithms for the vehicle routing problem with time windows. Oper. Res. 44(3):501–509.Link, Google 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.Link, Google Scholar
• Corbett CJ, Van Wassenhove LN (1993) The natural drift: What happened to operations research? Oper. Res. 41(4):625–640.Link, Google Scholar
• Graves SC (2008) Flexibility principles. Chhajed D, Lowe TJ, eds. Building Intuition: Insights from Basic Operations Management Models and Principles, Chap. 3 (Springer, New York), 33–51.Crossref, Google Scholar
• Haimovich M, Rinnooy Kan AHG (1985) Bounds and heuristics for capacitated routing problems. Math. Oper. Res. 10(4):527–542.Link, Google Scholar
• Hopp WJ, Tekin E, Van Oyen MP (2004) Benefits of skill chaining in serial production lines with cross-trained workers. Management Sci. 50(1):83–98.Link, Google Scholar
• Johnson K, Lee A, Simchi-Levi D (2013). Analytics in online retailing: Demand forecasting and price optimization. Working paper, MIT, Cambridge, MA.Google Scholar
• Jordan WC, Graves SC (1995) Principles on the benefits of manufacturing process flexibility. Management Sci. 41(4):577–594.Link, Google Scholar
• Karp RM (1977) Probabilistic analysis of partitioning algorithms for the traveling salesman problem in the plane. Math. Oper. Res. 2(3):209–224.Link, Google Scholar
• Larson RC (1990) The queue inference engine: Deducing queue statistics from transactional data. Management Sci. 36(5):586–601.Link, Google Scholar
• Larson RC (2013) Private email to the author on September 22.Google Scholar
• Morse PM, Kimball GE (1951) Methods of Operations Research (Technology Press of MIT, Cambridge, MA). [Reprinted in 2003 by Dover Publications, Mineola, NY.]Google 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 designs in process flexibility. Oper. Res. 60(5):1125–1141.Link, Google Scholar
• Simchi-Levi D, Chen X, Bramel J (2013) The Logic of Logistics: Theory, Algorithms and Applications for Logistics Management, 3rd ed. (Springer-Verlag, New York).Google Scholar
• Simchi-Levi D, Schmidt W, Wei Y (2014) From superstorms to factory fires: Managing unpredictable supply chain disruptions. Harvard Bus. Rev. (January–February).Google Scholar
• Simchi-Levi D, Wang H, Wei Y (2013) Increasing supply chain robustness through process flexibility and strategic inventory. Working paper, MIT, Cambridge, MA.Google Scholar
• Simchi-Levi D, Wang H, Weinstein AM (2013) Dynamic pricing and demand learning with limited price experimentation. Working paper, MIT, Cambridge, MA.Google Scholar