A Model for Integrated Inventory and Assortment Planning

Published Online:https://doi.org/10.1287/mnsc.2021.4149

References

  • Aouad A, Levi R, Segev D (2018) Greedy-like algorithms for dynamic assortment planning under multinomial logit preferences. Oper. Res. 66(5):1321–1345.LinkGoogle Scholar
  • Aouad A, Levi R, Segev D (2019) Approximation algorithms for dynamic assortment optimization models. Math. Oper. Res. 44(2):487–511.LinkGoogle Scholar
  • Axsäter S (2006) Inventory Control, vol. 90 (Springer Verlag, New York).Google Scholar
  • Bertsekas DP, Tsitsiklis JN (2002) Introduction to Probability, vol. 1 (Athena Scientific, Belmont, MA).Google Scholar
  • Beyer D, Sethi SP, Sridhar R (2001) Stochastic multiproduct inventory models with limited storage. J. Optim. Theory Appl. 111(3):553–588.CrossrefGoogle Scholar
  • Blanchet J, Gallego G, Goyal V (2016) A Markov chain approximation to choice modeling. Oper. Res. 64(4):886–905.LinkGoogle Scholar
  • Boada-Collado P, Martínez-de Albéniz V (2020) Estimating and optimizing the impact of inventory on consumer choices in a fashion retail setting. Manufacturing Service Oper. Management 22(3):582–597.LinkGoogle Scholar
  • Cachon GP, Gallino S, Olivares M (2019) Does adding inventory increase sales? Evidence of a scarcity effect in US automobile dealerships. Management Sci. 65(4):1469–1485.LinkGoogle Scholar
  • Cachon GP, Terwiesch C, Xu Y (2005) Retail assortment planning in the presence of consumer search. Manufacturing Service Oper. Management 7(4):330–346.LinkGoogle Scholar
  • Caro F, Gallien J (2007) Dynamic assortment with demand learning for seasonal consumer goods. Management Sci. 53(2):276–292.LinkGoogle Scholar
  • Cho GE, Meyer CD (2001) Comparison of perturbation bounds for the stationary distribution of a Markov chain. Linear Algebra Appl. 335(1-3):137–150.CrossrefGoogle Scholar
  • Chong E, Zak S (2001) An Introduction to Optimization (John Wiley & Sons, New York).Google Scholar
  • Davis JM, Gallego G, Topaloglu H (2013) Assortment planning under the multinomial logit model with totally unimodular constraint structures. Working paper, Cornell University, Ithaca, NY.Google Scholar
  • Du C, Cooper WL, Wang Z (2016) Optimal pricing for a multinomial logit choice model with network effects. Oper. Res. 64(2):441–455.LinkGoogle Scholar
  • Farahat A, Lee J (2017) The multiproduct newsvendor problem with customer choice. Oper. Res. 66(1):123–136.LinkGoogle Scholar
  • Feldman JB, Topaloglu H (2017) Revenue management under the Markov chain choice model. Oper. Res. 65(5):1322–1342.LinkGoogle Scholar
  • Gallagher M (1991) Proportionality, disproportionality and electoral systems. Electoral Stud. 10(1):33–51.CrossrefGoogle Scholar
  • Gaur V, Honhon D (2006) Assortment planning and inventory decisions under a locational choice model. Management Sci. 52(10):1528–1543.LinkGoogle Scholar
  • Goyal V, Levi R, Segev D (2016) Near-optimal algorithms for the assortment planning problem under dynamic substitution and stochastic demand. Oper. Res. 64(1):219–235.LinkGoogle Scholar
  • Heese HS, Martínez-de Albéniz V (2018) Effects of assortment breadth announcements on manufacturer competition. Manufacturing Service Oper. Management 20(2):302–316.LinkGoogle Scholar
  • Honhon D, Seshadri S (2013) Fixed vs. random proportions demand models for the assortment planning problem under stockout-based substitution. Manufacturing Service Oper. Management 15(3):378–386.LinkGoogle Scholar
  • Honhon D, Gaur V, Seshadri S (2010) Assortment planning and inventory decisions under stockout-based substitution. Oper. Res. 58(5):1364–1379.LinkGoogle Scholar
  • Hopp WJ, Xu X (2008) A static approximation for dynamic demand substitution with applications in a competitive market. Oper. Res. 56(3):630–645.LinkGoogle Scholar
  • Hübner AH, Kuhn H (2012) Retail category management: State-of-the-art review of quantitative research and software applications in assortment and shelf space management. Omega 40(2):199–209.CrossrefGoogle Scholar
  • Kaplan R (1970) A dynamic inventory model with stochastic lead times. Management Sci. 16(7):491–507.LinkGoogle Scholar
  • Kök AG, Fisher ML (2007) Demand estimation and assortment optimization under substitution: Methodology and application. Oper. Res. 55(6):1001–1021.LinkGoogle Scholar
  • Kök AG, Fisher ML, Vaidyanathan R (2009) Assortment planning: Review of literature and industry practice. Agrawal N, Smith SA, eds. Retail Supply Chain Management (Springer, New York), 99–153.Google Scholar
  • Kunnumkal S, Martínez-de Albéniz V (2019) Tractable approximations for assortment planning with product costs. Oper. Res. 67(2):436–452.AbstractGoogle Scholar
  • Lippman SA, McCardle KF (1997) The competitive newsboy. Oper. Res. 45(1):54–65.LinkGoogle Scholar
  • Mahajan S, van Ryzin G (2001) Stocking retail assortments under dynamic consumer substitution. Oper. Res. 49(3):334–351.LinkGoogle Scholar
  • Martello S, Toth P (1990) Knapsack Problems: Algorithms and Computer Implementations (John Wiley & Sons, New York).Google Scholar
  • Muharremoglu A, Yang N (2010) Inventory management with an exogenous supply process. Oper. Res. 58(1):111–129.LinkGoogle Scholar
  • Musalem A, Olivares M, Bradlow E, Terwiesch C, Corsten D (2010) Structural estimation of the effect of out-of-stocks. Management Sci. 56(7):1180–1197.LinkGoogle Scholar
  • Netessine S, Rudi N (2003) Centralized and competitive inventory models with demand substitution. Oper. Res. 51(2):329–335.LinkGoogle Scholar
  • O’Cinneide CA (1993) Entrywise perturbation theory and error analysis for Markov chains. Numerische Mathematik 65(1993):109–120.CrossrefGoogle Scholar
  • Rusmevichientong P, Shen Z-JM, Shmoys DB (2010) Dynamic assortment optimization with a multinomial logit choice model and capacity constraint. Oper. Res. 58(6):1666–1680.LinkGoogle Scholar
  • Smith SA, Agrawal N (2000) Management of multi-item retail inventory systems with demand substitution. Oper. Res. 48(1):50–64.LinkGoogle Scholar
  • Su X, Zhang F (2008) Strategic customer behavior, commitment, and supply chain performance. Management Sci. 54(10):1759–1773.LinkGoogle Scholar
  • Talluri K, van Ryzin G (2004) Revenue management under a general discrete choice model of consumer behavior. Management Sci. 50(1):15–33.LinkGoogle Scholar
  • Tsay AA, Agrawal N (2000) Channel dynamics under price and service competition. Manufacturing Service Oper. Management 2(4):372–391.LinkGoogle Scholar
  • Urban TL (2005) Inventory models with inventory-level-dependent demand: A comprehensive review and unifying theory. Eur. J. Oper. Res. 162(3):792–804.CrossrefGoogle Scholar
  • van Ryzin G, Mahajan S (1999) On the relationship between inventory costs and variety benefits in retail assortments. Management Sci. 45(11):1496–1509.LinkGoogle Scholar
  • Wang R, Wang Z (2016) Consumer choice models with endogenous network effects. Management Sci. 63(11):3944–3960.LinkGoogle Scholar
  • Zipkin P (2000) Foundations of Inventory Management (Irwin/McGraw-Hill, Boston).Google Scholar
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