Sourcing with Demand Updates

References

• Ansberry C (2002) Deadline scramble—A new hazard for recovery. Wall Street J. (June 25), p. A1.Google Scholar
• Armony M, Israelit S, Mandelbaum A, Marmor YN, Tseytlin Y, Yom-Tov GB (2015) On patient flow in hospitals: A data-based queueing-science perspective. Stochastic Systems 5(1):146–194.Link, Google Scholar
• Arrow KJ, Harris T, Marschak J (1951) Optimal inventory policy. Econometrica 19(3):250–272.Crossref, Google Scholar
• Ban G-Y (2020) Confidence intervals for data-driven inventory policies with demand censoring. Oper. Res. 68(2):309–326.Abstract, Google Scholar
• Ban G-Y, Rudin C (2019) The big data newsvendor: Practical insights from machine learning. Oper. Res. 67(1):90–108.Link, Google Scholar
• Bassamboo A, Harrison JM, Zeevi A (2006) Design and control of a large call center: Asymptotic analysis of an LP-based method. Oper. Res. 54(3):419–435.Link, Google Scholar
• Besbes O, Mouchtaki O (2023) How big should your data really be? Data-driven newsvendor: Learning one sample at a time. Management Sci. 69(10):5848–5865.Link, Google Scholar
• Besbes O, Chaneton JM, Moallemi CC (2022) The exploration-exploitation trade-off in the newsvendor problem. Stochastic Systems 12(4):319–339.Link, Google Scholar
• Brown RG (1959) Statistical Forecasting for Inventory Control (McGraw-Hill, New York).Google Scholar
• Chang JA, Katehakis MN, Shi JJ, Yan Z (2021) Blockchain-empowered newsvendor optimization. Internat. J. Production Econom. 238:108144.Crossref, Google Scholar
• Chen L, Hu B (2017) Is reshoring better than offshoring? The effect of offshore supply dependence. Manufacturing Service Oper. Management 19(2):166–184.Link, Google Scholar
• Donohue KL (2000) Efficient supply contracts for fashion goods with forecast updating and two production modes. Management Sci. 46(11):1397–1411.Link, Google Scholar
• Edgeworth FY (1888) The mathematical theory of banking. J. Roy. Statist. Soc. 51(1):113–127.Google Scholar
• Erlang A (1917) Solution of some problems in the theory of probabilities of significance in automatic telephone exchanges. Post Office Electr. Engrg. J. 10:189–197.Google Scholar
• Federgruen A (1993) Centralized planning models for multi-echelon inventory systems under uncertainty. Graves SC, Rinnooy Kan AHG, Zipkin PH, eds. Logistics of Production and Inventory, Handbooks in Operations Research and Management Science, vol. 4 (North Holland, Amsterdam), 133–173.Crossref, Google Scholar
• Federgruen A, Zipkin P (1984) Computational issues in an infinite-horizon, multiechelon inventory model. Oper. Res. 32(4):818–836.Link, Google Scholar
• Fisher M, Raman A (1996) Reducing the cost of demand uncertainty through accurate response to early sales. Oper. Res. 44(1):87–99.Link, Google Scholar
• Gallego G, Moon I (1993) The distribution free newsboy problem: Review and extensions. J. Oper. Res. Soc. 44(8):825–834.Crossref, Google Scholar
• Gebicki M, Mooney E, Chen S-J, Mazur LM (2014) Evaluation of hospital medication inventory policies. Health Care Management Sci. 17(3):215–229.Crossref, Google Scholar
• Govindarajan A, Sinha A, Uichanco J (2021) Distribution-free inventory risk pooling in a multilocation newsvendor. Management Sci. 67(4):2272–2291.Link, Google Scholar
• Gurnani H, Tang CS (1999) Note: Optimal ordering decisions with uncertain cost and demand forecast updating. Management Sci. 45(10):1456–1462.Link, Google Scholar
• Halfin S, Whitt W (1981) Heavy-traffic limits for queues with many exponential servers. Oper. Res. 29(3):567–588.Link, Google Scholar
• Hammond JH, Raman A (1995) Sport Obermeyer, Ltd. Harvard Business School Case 695-022, Harvard Business School, Boston.Google Scholar
• Harrison JM, Zeevi A (2005) A method for staffing large call centers based on stochastic fluid models. Manufacturing Service Oper. Management 7(1):20–36.Link, 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 ith application to safety stock analysis in production/distribution systems. IIE Trans. 26(3):17–30.Crossref, Google Scholar
• Hu Y, Chan CW, Dong J (2025) Prediction-driven surge planning with application to emergency department nurse staffing. Management Sci. 71(3):1865–1888.Google Scholar
• Keskin NB, Li C, Song J-S (2025) The blockchain newsvendor: Value of freshness transparency and smart contracts. Management Sci. 71(8):6666–6682.Link, Google Scholar
• Koçağa YL, Armony M, Ward AR (2015) Staffing call centers with uncertain arrival rates and co-sourcing. Production Oper. Management 24(7):1101–1117.Crossref, Google Scholar
• Levi R, Perakis G, Uichanco J (2015) The data-driven newsvendor problem: New bounds and insights. Oper. Res. 63(6):1294–1306.Link, Google Scholar
• Li Q, Ha A (2008) Reactive capacity and inventory competition under demand substitution. IIE Trans. 40(8):707–717.Crossref, Google Scholar
• Maggiar A, Muharremoglu A, Sadighian A (2024) Dual-stage procurement with forecast updating for seasonal products at amazon.com. Preprint, submitted July 3, https://doi.org/10.2139/ssrn.4879320.Google Scholar
• Maman S (2009) Uncertainty in the demand for service: The case of call centers and emergency departments. PhD thesis, Technion - Israel Institute of Technology, Haifa, Israel.Google Scholar
• Oh S, Özer O (2013) Mechanism design for capacity planning under dynamic evolutions of asymmetric demand forecasts. Management Sci. 59(4):987–1007.Link, Google Scholar
• Özer O, Uncu O, Wei W (2007) Selling to the “newsvendor” with a forecast update: Analysis of a dual purchase contract. Eur. J. Oper. Res. 182(3):1150–1176.Crossref, Google Scholar
• Petruzzi NC, Dada M (1999) Pricing and the newsvendor problem: A review with extensions. Oper. Res. 47(2):183–194.Link, Google Scholar
• Qin Y, Wang R, Vakharia AJ, Chen Y, Seref MM (2011) The newsvendor problem: Review and directions for future research. Eur. J. Oper. Res. 213(2):361–374.Crossref, Google Scholar
• Sethi SP, Yan H, Zhang H (2003) Inventory models with fixed costs, forecast updates, and two delivery modes. Oper. Res. 51(2):321–328.Link, Google Scholar
• Singh M, Fraiman N, Paris C, Arrington L (2008) Zara. New York: Columbia Business School CaseWorks (July 14), https://caseworks.business.columbia.edu/caseworks/zara.Google Scholar
• Song J-S, Zipkin PH (2012) Newsvendor problems with sequentially revealed demand information. Naval Res. Logist. 59(8):601–612.Crossref, Google Scholar
• Thomas L (2021) Gap shares crater 15% after retailer sees millions in lost sales from delayed product shipments, cuts its forecast. CNBC (November 23), https://www.cnbc.com/2021/11/23/gap-gps-q3-2021-earnings.html.Google Scholar
• Toktay LB, Wein LM (2001) Analysis of a forecasting-production-inventory system with stationary demand. Management Sci. 47(9):1268–1281.Link, Google Scholar
• Wang T, Atasu A, Kurtuluş M (2012) A multiordering newsvendor model with dynamic forecast evolution. Manufacturing Service Oper. Management 14(3):472–484.Link, Google Scholar
• Weissman CG (2022) How fast fashion players like Zara and H&M are staying relevant in 2022. ModernRetail (January 17), https://www.modernretail.co/retailers/how-fast-fashion-players-like-zara-and-hm-are-staying-relevant-in-2022/.Google Scholar
• Whitt W (2007) What you should know about queueing models to set staffing requirements in service systems. Naval Res. Logist. 54(5):476–484.Crossref, Google Scholar
• Xin L, Van Mieghem JA (2023) Dual-sourcing, dual-mode dynamic stochastic inventory models. Research Handbook on Inventory Management (Edward Elgar Publishing, Cheltenham, UK), 165–190.Crossref, Google Scholar
• Xin L, He L, Bewli J, Bowman J, Feng H, Qin Z (2017) On the performance of tailored base-surge policies: Theory and application at walmart.com. Working paper, Cornell University, Ithaca, NY.Google Scholar
• Yan H, Liu K, Hsu A (2003) Optimal ordering in a dual-supplier system with demand forecast updates. Production Oper. Management 12(1):30–45.Crossref, Google Scholar
• Zheng M, Shu Y, Wu K (2015) On optimal emergency orders with updated demand forecast and limited supply. Internat. J. Production Res. 53(12):3692–3719.Crossref, Google Scholar