Joint Dynamic Pricing and Order Fulfillment for E-commerce Retailers

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.Link, Google Scholar
• Acimovic J, Graves SC (2016) Mitigating spillover in online retailing via replenishment. Manufacturing Service Oper. Management 19(3):419–436.Link, Google Scholar
• Agatz NAH, Fleischmann M, van Nunen JA (2008) E-fulfillment and multi-channel distribution: A review. Eur. J. Oper. Res. 187(2):339–356.Crossref, Google Scholar
• Ahn H-S, Jasin S, Kaminsky P, Wang Y (2018) Analysis of deterministic control and its improvements for an inventory problem with multiproduct batch differentiation. Oper. Res. 66(1):58–76.Link, Google Scholar
• Amazon.com (2015) 2014 Amazon.com annual report. Report, Amazon, Seattle. http://phx.corporate-ir.net/phoenix.zhtml?c=97664&p=irol-reportsannual.Google Scholar
• Atar R, Reiman MI (2012) Asymptotically optimal dynamic pricing for network revenue management. Stochastic Systems 2(2):232–276.Link, Google Scholar
• Aydin G, Ziya S (2008) Pricing promotional products under upselling. Manufacturing Service Oper. Management 10(3):360–376.Link, Google Scholar
• Becerril-Arreola R, Leng M, Parlar M (2013) Online retailers promotional pricing, free-shipping threshold, and inventory decisions: A simulation-based analysis. Eur. J. Oper. Res. 230(2):272–283.Crossref, Google Scholar
• Ben-Tal A, Goryashko A, Guslitzer E, Nemirovski A (2004) Adjustable robust solutions of uncertain linear programs. Math. Program. 99(2):351–376.Crossref, Google Scholar
• Bertsimas D, Iancu DA, Parrilo PA (2010) Optimality of affine policies in multistage robust optimization. Math. Oper. Res. 35(2):363–394.Link, Google Scholar
• Boyd EA, Bilegan IC (2003) Revenue management and e-commerce. Management Sci. 49(10):1363–1386.Link, Google Scholar
• Calafiore GC (2009) An affine control method for optimal dynamic asset allocation with transaction costs. SIAM J. Control Optim. 48(4):2254–2274.Crossref, Google Scholar
• Camelcamelcamel.com (2016) Amazon price history for lodge l8sgp3 pre-seasoned cast-iron square grill pan. Accessed March 16, 2016, https://camelcamelcamel.com/Lodge-L8SGP3-Square-Pre-Seasoned-10-5-inch/product/B0000CF66W?context=browse.Google Scholar
• Chen J (2014) Pricing strategies in the electronic marketplace. Martínez-López J, ed. Handbook of Strategic e-Business Management (Springer, New York), 489–522.Crossref, Google Scholar
• Chen Q, Jasin S, Duenyas I (2015) Real-time dynamic pricing with minimal and flexible price adjustment. Management Sci. 62(8):2437–2455.Link, Google Scholar
• Chicago Consulting (2013) Ten best warehouse networks in USA. Accessed March 16, 2016, http://www.chicago-consulting.com/ten-best-warehouse-networks-consultant-usa/.Google Scholar
• Ciocan DF, Farias V (2012) Model predictive control for dynamic resource allocation. Math. Oper. Res. 37(3):501–525.Link, Google Scholar
• Cohen MC, Leung NHZ, Panchamgam K, Perakis G, Smith A (2017) The impact of linear optimization on promotion planning. Oper. Res. 65(2):446–468.Link, Google Scholar
• Dantzig GB, Thapa MN (2006) Linear Programming 1: Introduction (Springer, New York).Google Scholar
• Dinlersoz EM, Li H (2006) The shipping strategies of Internet retailers: Evidence from Internet book retailing. Quant. Marketing Econom. 4(4):407–438.Crossref, Google Scholar
• Doğru MK, Reiman MI, Wang Q (2010) A stochastic programming-based inventory policy for assemble-to-order systems with application to the W model. Oper. Res. 58(4, Part 1):849–864.Link, Google Scholar
• Ferreira KJ, Lee BHA, Simchi-Levi D (2015) Analytics for an online retailer: Demand forecasting and price optimization. Manufacturing Service Oper. Management 18(1):69–88.Link, Google Scholar
• Ferreira KJ, Simchi-Levi D, Wang H (2017) Online network revenue management using Thompson sampling. Working paper, Harvard Business School, Boston.Google Scholar
• Fisher M, Gallino S, Li J (2017) Competition-based dynamic pricing in online retailing: A methodology validated with field experiments. Management Sci., ePub ahead of print June 27, https://doi.org/10.1287/mnsc.2017.2753.Link, Google Scholar
• Gallego G, van Ryzin GJ (1994) Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Sci. 40(8):999–1020.Link, Google Scholar
• Gallego G, van Ryzin GJ (1997) A multiproduct dynamic pricing problem and its applications to network yield management. Oper. Res. 45(1):24–41.Link, Google Scholar
• Garcia A (2015) Amazon “Prime Day” shattered global sales records. CNN Money (July 16), http://cnnmon.ie/29XVIqX.Google Scholar
• Gümüş M, Li S, Oh W, Ray S (2013) Shipping fees or shipping free? A tale of two price partitioning strategies in online retailing. Production Oper. Management 22(4):758–776.Crossref, Google Scholar
• Harsha P, Subramanian S, Uichanco J (2016) Omni-channel revenue management through integrated pricing and fulfillment planning. Working paper, Ross School of Business, University of Michigan, Ann Arbor.Google Scholar
• Howland D (2016) Online operating costs crushing brick-and-mortar retailers. Retail Dive (May 4), http://www.retaildive.com/news/study-online-operating-costs-crushing-brick-and-mortar-retailers/418613/.Google Scholar
• Jasin S (2014) Reoptimization and self-adjusting price control for network revenue management. Oper. Res. 62(5):1168–1178.Link, Google Scholar
• Jasin S, Kumar S (2012) A re-solving heuristic with bounded revenue loss for network revenue management with customer choice. Math. Oper. Res. 37(2):313–345.Link, Google Scholar
• Jasin S, Kumar S (2013) Analysis of deterministic LP-based booking limit and bid price controls for revenue management. Oper. Res. 61(6):1312–1320.Link, Google Scholar
• Jasin S, Sinha A (2015) An LP-based correlated rounding scheme for multi-item ecommerce order fulfillment. Oper. Res. 63(6):1336–1351.Link, Google Scholar
• Leng M, Becerril-Arreola R (2010) Joint pricing and contingent free-shipping decisions in B2C transactions. Production Oper. Management 19(4):390–405.Crossref, Google Scholar
• Maglaras C, Meissner J (2006) Dynamic pricing strategies for multiproduct revenue management problems. Manufacturing Service Oper. Management 8(2):136–148.Link, Google Scholar
• Moallemi CC, Saglam M (2012) Dynamic portfolio choice with linear rebalancing rules. Working paper, Columbia University, New York.Crossref, Google Scholar
• Netessine S, Savin S, Xiao W (2006) Revenue management through dynamic cross selling in e-commerce retailing. Oper. Res. 54(5):893–913.Link, Google Scholar
• Özer Ö, Phillips R (2012) The Oxford Handbook of Pricing Management (Oxford University Press, Oxford, UK).Crossref, Google Scholar
• Plambeck EL, Ward AR (2006) Optimal control of a high-volume assemble-to-order system. Math. Oper. Res. 31(3):453–477.Link, Google Scholar
• Reid B (2014) Avoiding everyday antitrust law violations. Huffington Post (August 17), http://www.huffingtonpost.com/brad-reid/avoiding-everyday-antitru_b_7999742.html.Google Scholar
• Reiman MI, Wang Q (2008) An asymptotically optimal policy for a quantity-based network revenue management problem. Math. Oper. Res. 33(2):257–282.Link, Google Scholar
• Rigby D (2014) Online shopping isn’t as profitable as you think. Harvard Bus. Rev. (August 21), https://hbr.org/2014/08/online-shopping-isnt-as-profitable-as-you-think.Google Scholar
• Secomandi N (2008) An analysis of the control-algorithm re-solving issue in inventory and revenue management. Manufacturing and Service Oper. Management 10(3):468–483.Link, Google Scholar
• Secomandi N, Margot F (2009) Reoptimization approaches for the vehicle-routing problem with stochastic demands. Oper. Res. 57(1):214–230.Link, Google Scholar
• Shpanya A (2014) Why dynamic pricing is a must for ecommerce retailers. Econsultancy (August 18), https://econsultancy.com/blog/65327-why-dynamic-pricing-is-a-must-for-ecommerce-retailers/.Google Scholar
• Sides R, Hogan HK (2015) Deloitte’s 2015 holiday survey: Embracing retail disruption. Deloitte (October 26), https://www2.deloitte.com/tr/en/pages/consumer-business/articles/holiday-retail-sales-consumer-survey.html.Google Scholar
• Simchi-Levi D, Wu SD, Shen ZJM (2004) Handbook of Quantitative Supply Chain Analysis: Modeling in the E-Business Era, Vol. 74 (Springer, New York).Crossref, Google Scholar
• Talluri KT, van Ryzin GJ (2006) The Theory and Practice of Revenue Management, Vol. 68 (Springer, New York).Google Scholar
• Tompkins Supply Chain Consortium (2012) Supply chain metrics: Data for you to compare against. Report, Tompkins Supply Chain Consortium, Raleigh, NC.Google Scholar
• United Parcel Service (UPS) (2016) 2016 UPS rate and service guide. Accessed March 16, 2016, https://www.ups.com/media/en/daily_rates.pdf.Google Scholar
• U.S. Census Bureau (2014) Annual estimates of the resident population: April 1, 2010 to July 1, 2014. Accessed January 2, 2018, United States, micropolitan statistical area, and Puerto Rico. https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk.Google Scholar
• U.S. Census Bureau (2017) Quarterly retail e-commerce sales: 1st quarter 2017. Accessed January 2, 2018, https://www.census.gov/retail/mrts/www/data/pdf/ec_current.pdf.Google Scholar
• Wang Z, Deng S, Ye Y (2014) Close the gaps: A learning-while-doing algorithm for single-product revenue management problems. Oper. Res. 62(2):318–331.Link, Google Scholar
• Xu PJ, Allgor R, Graves SC (2009) Benefits of reevaluating real-time order fulfillment decisions. Manufacturing Service Oper. Management 11(2):340–355.Link, Google Scholar
• Zhan L, Lloyd AE (2014) Customers asymmetrical responses to variable pricing. J. Revenue Pricing Management 13(3):183–198.Crossref, Google Scholar