Combining a Smart Pricing Policy with a Simple Replenishment Policy: Managing Uncertainties in the Presence of Stochastic Purchase Returns

Published Online:https://doi.org/10.1287/moor.2022.0172

References

  • [1] Abdulla H, Ketzenberg M, Abbey JD (2019) Taking stock of consumer returns: A review and classification of the literature. J. Oper. Management 65(6):560–605.CrossrefGoogle Scholar
  • [2] Altug M, Aydinliyim T (2016) Counteracting strategic purchase deferrals: The impact of online retailers’ return policy decisions. Manufacturing Service Oper. Management 18(3):276–294.LinkGoogle Scholar
  • [3] Barclaycard (2018) Return to sender: Retailers face a ‘phantom economy’ of £7bn each year as shopper returns continue to rise. Press release, Barclaycard, London, https://channelx.world/2018/06/retailers-face-phantom-economy-7bn-year-shopper-returns-continue-riseon-back-growing-ecommerce/.Google Scholar
  • [4] Bernstein F, Li Y, Shang K (2016) A simple heuristic for joint inventory and pricing models with lead time and backorders. Management Sci. 62(8):2358–2373.LinkGoogle Scholar
  • [5] Brightpearl (2018) Try Before you buy: A returns tsunami for retail. White paper, Brightpearl, Bristol, UK.Google Scholar
  • [6] Bruzzone A, Cimino A, Diaz R, Longo F (2010) Inventory control with products returns: A state of the art overview. SpringSim’10: Proc. 2010 Spring Simulation Multiconf. (Society for Computer Simulation International, San Diego), 1–7.Google Scholar
  • [7] Chen J, Bell PC (2009) The impact of customer returns on pricing and order decisions. Eur. J. Oper. Res. 195(1):280–295.CrossrefGoogle Scholar
  • [8] Chen B, Chao X (2019) Parametric demand learning with limited price explorations in a backlog stochastic inventory system. IISE Trans. 51(6):605–613.CrossrefGoogle Scholar
  • [9] Chen X, Simchi-Levi D (2012) Pricing and inventory management. Özer Ö, Phillips R, eds. The Oxford Handbook of Pricing Management (Oxford Academic, Oxford, UK), 784–824.CrossrefGoogle Scholar
  • [10] Chen B, Chao X, Ahn HS (2019a) Coordinating pricing and inventory replenishment with nonparametric demand learning. Oper. Res. 67(4):1035–1052.AbstractGoogle Scholar
  • [11] Chen B, Chao X, Shi C (2021a) Nonparametric learning algorithms for joint pricing and inventory control with lost sales and censored demand. Math. Oper. Res. 46(2):726–756.LinkGoogle Scholar
  • [12] Chen Q, Jasin S, Duenyas I (2016b) Real-time dynamic pricing with minimal and flexible price adjustment. Management Sci. 62(8):2437–2455.LinkGoogle Scholar
  • [13] Chen Q, Jasin S, Duenyas I (2019b) Nonparametric self-adjusting control for joint learning and optimization of multiproduct pricing with finite resource capacity. Math. Oper. Res. 44(2):601–631.LinkGoogle Scholar
  • [14] Chen Q, Jasin S, Duenyas I (2021b) Joint learning and optimization of multi-product pricing with finite resource capacity and unknown demand parameters. Oper. Res. 69(2):560–573.LinkGoogle Scholar
  • [15] Chen L, Mislove A, Wilson C (2016a) Analyzing and modeling price dynamics on Amazon. Proc. 25th Internat. Conf. World Wide Web (International World Wide Web Conferences Steering Committee, Geneva), 1339–1349.Google Scholar
  • [16] Chen X, Stolyar A, Xin L (2023) Asymptotic optimality of constant-order policies in joint pricing and inventory control models. Math. Oper. Res. 49(1):557–577.LinkGoogle Scholar
  • [17] Chopra S, Meindl P (2007) Supply chain management. Strategy, planning & operation. Boersch C, Elschen R, eds. Das Summa Summarum Des Management (Gabler, Wiesbaden), 265–275.CrossrefGoogle Scholar
  • [18] Cohen MA, Pierskalla WP, Nahmias S (1980) A dynamic inventory system with recycling. Naval Res. Logist. Quart. 27(2):289–296.CrossrefGoogle Scholar
  • [19] Damodaran A (2025) Margins by sector (US). Accessed April 25, 2025, https://pages.stern.nyu.edu/∼adamodar/New_Home_Page/datafile/margin.html.Google Scholar
  • [20] Ellis J (2017) Online retailers are desperate to stem a surging tide of returns. Bloomberg Businessweek (November 3), https://www.bloomberg.com/news/articles/2017-11-03/online-retailers-are-desperate-to-stem-a-surging-tide-of-returns.Google Scholar
  • [21] Enright T (2014) Returns – The ticking time bomb of multichannel retailing. Report G00267240, Gartner Research, Stamford, CT.Google Scholar
  • [22] Ertekin LP, Agrawal N (2020) How does a return-period policy change affect multichannel retailer profitability? J. Retailing 96(1):128–143.Google Scholar
  • [23] Fisher M, Rajaram K, Raman A (2001) Optimizing inventory replenishment of retail fashion products. Manufacturing Service Oper. Management 3(3):230–241.LinkGoogle Scholar
  • [24] Fleischmann M, Kuik R, Dekker R (2002) Controlling inventories with stochastic item returns: A basic model. Eur. J. Oper. Res. 138(1):63–75.CrossrefGoogle Scholar
  • [25] Friend SC, Walker PH (2001) Welcome to the new world of merchandising. Harvard Bus. Rev. 79(10):133–139.Google Scholar
  • [26] Gallego G, Topaloglu H (2019) Revenue Management and Pricing Analytics, vol. 209 (Springer, New York).CrossrefGoogle Scholar
  • [27] Gallego G, Van Ryzin G (1994) Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Sci. 40(8):999–1020.LinkGoogle Scholar
  • [28] Geršgorin SA (1931) Uber die abgrenzung der eigenwerte einer matrix. Izv. Akad. Nauk. SSSR Otd. Fiz.-Mat. Nauk. 7:749–754.Google Scholar
  • [29] Ghoreishi M, Mirzazadeh A, Weber GW (2014) Optimal pricing and ordering policy for non-instantaneous deteriorating items under inflation and customer returns. Optimization 63(12):1785–1804.CrossrefGoogle Scholar
  • [30] Goldberg DA, Katz-Rogozhnikov DA, Lu Y, Sharma M, Squillante MS (2016) Asymptotic optimality of constant-order policies for lost sales inventory models with large lead times. Math. Oper. Res. 41(3):898–913.LinkGoogle Scholar
  • [31] Gruen TW, Corsten DS, Bharadwaj S (2002) Retail out-of-stocks: A worldwide examination of extent, causes and consumer responses. Report, Grocery Manufacturers of America, Washington, DC.Google Scholar
  • [32] Hess JD, Mayhew GE (1997) Modeling merchandise returns in direct marketing. J. Direct Marketing 11(2):20–35.CrossrefGoogle Scholar
  • [33] Heyman DP (1977) Optimal disposal policies for a single-item inventory system with returns. Naval Res. Logist. Quart. 24(3):385–405.CrossrefGoogle Scholar
  • [34] Hilafu H, Letizia P, Roma P (2024) Product customization and returns: The moderating role of national culture. Prod. Oper. Management 34(5):886–903.CrossrefGoogle Scholar
  • [35] Hu X, Wan Z, Murthy NN (2019) Dynamic pricing of limited inventories with product returns. Manufacturing Service Oper. Management 21(3):501–518.LinkGoogle Scholar
  • [36] Huh WT, Janakiraman G, Muckstadt JA, Rusmevichientong P (2009) Asymptotic optimality of order-up-to policies in lost sales inventory systems. Management Sci. 55(3):404–420.LinkGoogle Scholar
  • [37] Jasin S (2014) Reoptimization and self-adjusting price control for network revenue management. Oper. Res. 62(5):1168–1178.LinkGoogle Scholar
  • [38] JRJ.com (2020) Smart supply chain boosts jd.com’s revenue: 95% in-stock rate and 93% direct orders arriving in 24 hours. Accessed December 5, 2020, https://www.sohu.com/a/431326965_114984. [In Chinese.]Google Scholar
  • [39] Kapner S, Ziobro P (2021) Amazon, Walmart tell consumers to skip returns of unwanted items. Wall Street J. (January 10), https://www.wsj.com/articles/amazon-walmart-tell-consumers-to-skip-returns-of-unwanted-items-11610274600.Google Scholar
  • [40] Kiesmüller GP, Van der Laan EA (2001) An inventory model with dependent product demands and returns. Internat. J. Production Econom. 72(1):73–87.CrossrefGoogle Scholar
  • [41] Klarna (2019) Re-thinking returns: The new norm. And it’s here to stay. White paper, Klarna, London.Google Scholar
  • [42] Klein R, Koch S, Steinhardt C, Strauss AK (2020) A review of revenue management: Recent generalizations and advances in industry applications. Eur. J. Oper. Res. 284(2):397–412.CrossrefGoogle Scholar
  • [43] Lei Y, Jasin S (2020) Real-time dynamic pricing for revenue management with reusable resources, advance reservation, and deterministic service time requirements. Oper. Res. 68(3):676–685.LinkGoogle Scholar
  • [44] Lei Y, Jasin S, Sinha A (2018) Joint dynamic pricing and order fulfillment for e-commerce retailers. Manufacturing Service Oper. Management 20(2):269–284.LinkGoogle Scholar
  • [45] Levy D, Bergen M, Dutta S, Venable R (1997) The magnitude of menu costs: Direct evidence from large US supermarket chains. Quart. J. Econom. 112(3):791–825.CrossrefGoogle Scholar
  • [46] Li Y, Hou Y (2019) Joint pricing and inventory replenishment decisions with returns and expediting under reference price effects. Math. Problems Engrg. 2019(1):3479678.CrossrefGoogle Scholar
  • [47] Lokad (2014) Service level (supply chain). Accessed December 5, 2020, https://www.lokad.com/service-level-definition#Diminishing_returns_on_high_service_levels_3.Google Scholar
  • [48] McKinsey (2021) Returning to order: Improving returns management for apparel companies high levels of retail returns. McKinsey Company (May 25), https://www.mckinsey.com/industries/retail/our-insights/returning-to-order-improving-returns-management-for-apparel-companies.Google Scholar
  • [49] Muckstadt JA, Isaac MH (1981) An analysis of single item inventory systems with returns. Naval Res. Logist. Quart. 28(2):237–254.CrossrefGoogle Scholar
  • [50] Nahmias S, Olsen TL (2015) Production and Operations Analysis (Waveland Press, Long Grove, IL).Google Scholar
  • [51] Nahmiasj S, Rivera H (1979) A deterministic model for a repairable item inventory system with a finite repair rate. Internat. J. Production Res. 17(3):215–221.CrossrefGoogle Scholar
  • [52] Narvar (2018) The state of returns: What today’s shoppers expect. White paper, Narvar, San Mateo, CA.Google Scholar
  • [53] National Retail Federation (2021) Customer returns in the retail industry. White paper, National Retail Federation, Washington, DC.Google Scholar
  • [54] National Retail Federation (2023) Shifting the mindset around retail returns. National Retail Federation (March 6), https://nrf.com/blog/shifting-mindset-around-retail-returns#:∼:text=Returns%20in%20retail%20are%20unavoidable,profit%2C%20that’s%20a%20big%20concern.Google Scholar
  • [55] Pang Z, Chen FY, Feng Y (2012) A note on the structure of joint inventory-pricing control with leadtimes. Oper. Res. 60(3):581–587.LinkGoogle Scholar
  • [56] Petersen JA, Kumar V (2009) Are product returns a necessary evil? Antecedents and consequences. J. Marketing 73(3):35–51.CrossrefGoogle Scholar
  • [57] Schrady DA (1967) A deterministic inventory model for reparable items. Naval Res. Logist. Quart. 14(3):391–398.CrossrefGoogle Scholar
  • [58] Shang G, Ferguson ME, Galbreth MR (2019) Where should I focus my return reduction efforts? Empirical guidance for retailers. Decision Sci. 50(4):877–909.CrossrefGoogle Scholar
  • [59] Shang G, McKie EC, Ferguson ME, Galbreth MR (2020) Using transactions data to improve consumer returns forecasting. J. Oper. Management 66(3):326–348.CrossrefGoogle Scholar
  • [60] Simpson VP (1978) Optimum solution structure for a repairable inventory problem. Oper. Res. 26(2):270–281.LinkGoogle Scholar
  • [61] Su X (2009) Consumer returns policies and supply chain design. Manufacturing Service Oper. Management 11(4):595–612.LinkGoogle Scholar
  • [62] Swisslog (2016) Returns: The dark side of e-commerce. Report, Swisslog, Buchs, Switzerland.Google Scholar
  • [63] UPS (2019) UPS pulse of the online shopper report–A customer experience study. White paper, UPS, Atlanta. https://goodbusinessnetwork.org/wp-content/uploads/2020/06/2019-Pulse-of-Online-Shopper.pdf.Google Scholar
  • [64] U.S. Postal Service (2018) Riding the returns wave: Reverse logistics and the U.S. Postal Service. Report No. RARC-WP-18-008, U.S. Postal Service, Washington, DC.Google Scholar
  • [65] Vlachos D, Dekker R (2003) Return handling options and order quantities for single period products. Eur. J. Oper. Res. 151(1):38–52.CrossrefGoogle Scholar
  • [66] von Zahn M, Bauer K, Mihale-Wilson C, Jagow J, Speicher M, Hinz O (2024) Smart green nudging: Reducing product returns through digital footprints and causal machine learning. Marketing Sci. 44(4):954–969.LinkGoogle Scholar
  • [67] Wagner L, Martínez-de Albéniz V (2020) Pricing and assortment strategies with product exchanges. Oper. Res. 68(2):453–466.AbstractGoogle Scholar
  • [68] Wall Street Journal (2015) Struggling Toys ‘R’ Us tries fuller stores. Wall Street J. (December 15), https://www.wsj.com/articles/toys-r-us-plays-with-a-fresh-strategy-1450141526.Google Scholar
  • [69] Wei L, Jasin S, Xin L (2021) On a deterministic approximation of inventory systems with sequential service-level constraints. Oper. Res. 69(4):1057–1076.LinkGoogle Scholar
  • [70] Whitin TM (1955) Inventory control and price theory. Management Sci. 2(1):61–68.LinkGoogle Scholar
  • [71] Xin L (2022) 1.79-approximation algorithms for continuous review single-sourcing lost-sales and dual-sourcing inventory models. Oper. Res. 70(1):111–128.Google Scholar
  • [72] Xin L, Goldberg DA (2016) Optimality gap of constant-order policies decays exponentially in the lead time for lost sales models. Oper. Res. 64(6):1556–1565.LinkGoogle Scholar
  • [73] Zbaracki MJ, Ritson M, Levy D, Dutta S, Bergen M (2004) Managerial and customer costs of price adjustment: Direct evidence from industrial markets. Rev. Econom. Statist. 86(2):514–533.CrossrefGoogle Scholar
  • [74] Zhu SX (2012) Joint pricing and inventory replenishment decisions with returns and expediting. Eur. J. Oper. Res. 216(1):105–112.CrossrefGoogle Scholar
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