OM Forum—Practice-Based Research in Operations Management: What It Is, Why Do It, Related Challenges, and How to Overcome Them

References

• Bodea T, Ferguson M, Garrow L (2009) Data set-choice-based revenue management: Data from a major hotel chain. Manufacturing Service Oper. Management 11(2):356–361.Link, Google Scholar
• Bowman EH (1963) Consistency and optimality in managerial decision making. Management Sci. 9(2):310–321.Link, Google Scholar
• Cachon G (2012) What is interesting in operations management? Manufacturing Service Oper. Management 14(2):166–169.Link, Google Scholar
• Cachon G, Lariviere M (2005) Supply chain coordination with revenue-sharing contracts: Strengths and limitations. Management Sci. 51(1):30–44.Link, Google Scholar
• Caro F (2012) ZARA: Staying Fast and Fresh. Case Study 612-006-1, UCLA Anderson School of Management, Los Angeles.Google Scholar
• Caro F, Gallien J (2010) Inventory management of a fast-fashion retail network. Oper. Res. 58(2):257–273.Link, Google Scholar
• Caro F, Gallien J (2012) Clearance pricing for a fast fashion retailer. Oper. Res. 60(6):1404–1422.Link, Google Scholar
• Caro F, Tang CS (2015) The 1st POMS applied research challenge 2014 awards. Production Oper. Management 24(3):359–368.Crossref, Google Scholar
• Corbett C, van Wassenhove L (1993) The natural drift: What happened to operations research? Oper. Res. 41(4):625–640.Link, Google Scholar
• Cox D, Reid N (2000) Theory of the Design of Experiments (Chapman and Hall, London).Crossref, Google Scholar
• Desai P, Bell D, Lilien G, Soberman D (2012) Editorial: The science-to-practice initiative: Getting new marketing science thinking into the real world. Marketing Sci. 31(1):1–3.Link, Google Scholar
• Duflo E, Glennerster R, Kremer M (2007) Using randomization in development economics research: A toolkit. CEPR Working Paper 6059, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
• Fisher M (2007) Strengthening the empirical base of operations management. Manufacturing Service Oper. Management 9(4):368–382.Link, Google Scholar
• Foreman J, Gallien J, Alspaugh J, Lopez F, Bhatnagar R, Teo CC (2010) Implementing supply routing optimization in a make-to-order manufacturing network. Manufacturing Service Oper. Management 12(4):547–568.Link, Google Scholar
• Gallien J, Scheller-Wolf A (2013) Proposal for an M&SOM special issue on practice-focused research. Manufacturing Service Oper. Management 15(2):340–341.Link, Google Scholar
• Gallien J, Weber T (2010) To wave or not to wave? Order release policies for warehouses with an automated sorter. Manufacturing Service Oper. Management 12(4):642–662.Link, Google Scholar
• Gallien J, Mersereau A, Nóvoa M, Dapena A, Garro A (2015) Initial shipment decisions for new products at Zara. Oper. Res. 63(2):269–286.Link, Google Scholar
• Garnett GP, Cousens S, Hallett TB, Steketee R, Walker Net al. (2011) Mathematical models in the evaluation of health programmes. Lancet 378(9790):515–525.Crossref, Google Scholar
• Graves SC, Willems SP (2000) Optimizing strategic safety stock placement in supply chains. Manufacturing Service Oper. Management 2(1):68–83.Link, Google Scholar
• Graves SC, Meal HC, Dasu S, Qiu Y (1986) Two-stage production planning in a dynamic environment. Axsater S, Schneeweiss C, Silver E, eds. Lecture Notes in Economics and Mathematical Systems, Multi-Stage Production Planning and Inventory Control, Vol. 266 (Springer-Verlag, Berlin/Heidelberg), 9–43.Crossref, Google Scholar
• Graves SC, Meal HC, Stefek D, Zeghmi AH (1983) Scheduling of re-entrant flow shops. J. Oper. Management 3(4):197–207.Crossref, Google Scholar
• Guide VD, van Wassenhove L (2007) Dancing with the devil: Partnering with industry but publishing in Academia. Decision Sci. 38(4):531–546.Crossref, Google Scholar
• Hammond J, Raman A (1994) Sport Obermeyer, Ltd. Case 9-695-022, Harvard Business School, Boston.Google Scholar
• Hausman WH (1969) Sequential decision problems: A model to exploit existing forecasters. Management Sci. 16(2):B-93–B-111.Link, Google Scholar
• Heath DC, Jackson PL (1994) Modeling the evolution of demand forecasts with application to safety stock analysis in production/distribution systems. IIE Trans. 26(3):17–30.Crossref, Google Scholar
• Lee H, Kopcak L (1994) Hewlett-Packard Company: The Deskjet Printer Supply Chain (A) and (B). Cases GS3A and GS3B, Stanford Graduate School of Business, Stanford, CA.Google Scholar
• Lee H, Padmanabhan V, Whang S (1997) Information distortion in a supply chain: The bullwhip effect. Management Sci. 43(4):1875–1886.Link, Google Scholar
• Misra S, Nair H (2011) A structural model of sales-force compensation dynamics: Estimation and field implementation. Quant. Marketing Econom. 9(3):211–257.Crossref, Google Scholar
• Mouhot C, Villani C (2011) On Landau damping. Acta Mathematica 207(1):29–201.Crossref, Google Scholar
• Muckstadt J (1973) A model for a multi-item, multi-echelon, multi-indenture inventory system. Management Sci. 20(4):472–481.Link, Google Scholar
• Mumbower S, Garrow LA (2014) Data set-online pricing data for multiple US carriers. Manufacturing Service Oper. Management 16(2):198–203.Link, Google Scholar
• Raman A, Fisher M (1996) Reducing the cost of demand uncertainty through accurate response to early sales. Oper. Res. 44(1):87–99.Link, Google Scholar
• Rao U, Scheller-Wolf A, Tayur S (2000) Development of a rapid-response supply chain at Caterpillar. Oper. Res. 48(2):189–204.Link, Google Scholar
• Roth A (2007) Applications of empirical science in manufacturing and service operations. Manufacturing Service Oper. Management 9(4):353–367.Link, Google Scholar
• Sackett D, Rosenberg W, Gray J, Haynes R, Richardson S (1996) Evidence based medicine: What it is and what it isn’t. British Medical J. 312(7023):71–72.Crossref, Google Scholar
• Sherbrooke C (1968) METRIC: A multi-echelon technique for recoverable item control. Oper. Res. 16(1):122–141.Link, Google Scholar
• Simchi-Levi D (2014) OM research: From problem-driven to data-driven research. Manufacturing Service Oper. Management 16(1):2–10.Link, Google Scholar
• Singhal K, Sodhi MS, Tang CS (2014) POMS initiatives for promoting practice-driven research and research-influenced practice. Production Oper. Management 23(5):725–727.Crossref, Google Scholar
• Sodhi MS, Tang CS (2008) The OR/MS ecosystem: Strengths, weaknesses, opportunities, and threats. Oper. Res. 56(2):267–277.Link, Google Scholar
• Tayur SR (2013) Planned spontaneity for better product availability. Internat. J. Production Res. 51(23–24):6844–6859.Crossref, Google Scholar
• Thompson KM, Duintjer Tebbens RJ, Pallansch MA, Wassilak SGF, Cochi SL (2015) Polio eradicators use integrated analytical models to make better decisions. Interfaces 45(1):5–25.Link, Google Scholar
• van Mieghem J (2013) Three Rs of operations management: Research, relevance, and rewards. Manufacturing Service Oper. Management 15(1):2–5.Link, Google Scholar
• Veeraraghavan S, Scheller-Wolf A (2008) Now or later: A simple policy for effective dual sourcing in capacitated systems. Oper. Res. 56(4):850–864.Link, Google Scholar
• Wan Z, Beil D, Katok E (2012) When does it pay to delay supplier qualification? Theory and experiments. Management Sci. 58(11):2057–2075.Link, Google Scholar
• Willems SP (2008) Data set-real-world multiechelon supply chains used for inventory optimization. Manufacturing Service Oper. Management 10(1):19–23.Link, Google Scholar
• Zhou T, Guo Y, Shu C-W (2001) Numerical study on Landau damping. Physica D 157(4):322–333.Crossref, Google Scholar