Managing the Personalized Order-Holding Problem in Online Retailing
References
- (2015) Making better fulfillment decisions on the fly in an online retail environment. Manufacturing Service Oper. Management 17(1):34–51.Link, Google Scholar
- (2019) Distributionally robust Markovian traffic equilibrium. Transportation Sci. 53(6):1546–1562.Link, Google Scholar
- (2016) The exponomial choice model: A new alternative for assortment and price optimization. Oper. Res. 64(1):79–93.Link, Google Scholar
- (1996) Cyclic flows, Markov process and stochastic traffic assignment. Transportation Res. Part B: Methodological 30(5):369–386.Crossref, Google Scholar
- (1997) Decomposition of path choice entropy in general transport networks. Transportation Sci. 31(4):349–362.Link, Google Scholar
- (1957) Statistical inference about Markov chains. Ann. Math. Statist. 28(1):89–110.Crossref, Google Scholar
- (2019) Primal-dual algorithms for order fulfillment at Urban Outfitters, Inc. INFORMS J. Appl. Analytics 49(5):355–370.Link, Google Scholar
- (2001) Bandwidth selection for kernel conditional density estimation. Comput. Statist. Data Anal. 36(3):279–298.Crossref, Google Scholar
- (1995) Alternatives to Dial’s logit assignment algorithm. Transportation Res. Part B: Methodological 29(4):287–295.Crossref, Google Scholar
- (2016) A Markov chain approximation to choice modeling. Oper. Res. 64(4):886–905.Link, Google Scholar
- Business Statistics (2021) JD statistics, user counts, and facts. Accessed July 16, 2021, https://expandedramblings.com/index.php/by-the-numbers-15-amazing-jd-com-stats/.Google Scholar
- (2017) Optimal wave release times for order fulfillment systems with deadlines. Transportation Sci. 51(1):52–66.Link, Google Scholar
- (1974) Estimating Markov transition probabilities from micro unit data. J. Royal Statist. Soc. Ser. C. Appl. Statist. 23(3):355–371.Google Scholar
- (2007) Design and control of warehouse order picking: A literature review. Eur. J. Oper. Res. 82(2):481–501.Crossref, Google Scholar
- (2020) The increasing demand of consumer delivery expectations. Retail Technology Review. Accessed July 16, 2021, https://www.retailtechnologyreview.com/articles/2020/02/25/the-increasing-demand-of-consumer-delivery-expectations/.Google Scholar
- eMarketer (2021) Global ecommerce update 2021: Worldwide ecommerce will approach $5 trillion this year. Accessed February 15, 2021, https://www.emarketer.com/.Google Scholar
- (2019) Assortment optimization under the sequential multinomial logit model. Eur. J. Oper. Res. 273(3):1052–1064.Crossref, Google Scholar
- (2020) Approximation algorithms for product framing and pricing. Oper. Res. 68(1):134–160.Link, Google Scholar
- (2020) Data-driven modeling and optimization of the order consolidation problem in e-warehousing. INFORMS J. Optim. 2(4):273–296.Link, Google Scholar
- (2004) Cross-validation and the estimation of conditional probability densities. J. Amer. Statist. Assoc. 99(468):1015–1026.Crossref, Google Scholar
- (2001) A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine Learn. 45(2):171–186.Crossref, Google Scholar
- (2015) An LP-based correlated rounding scheme for multi-item ecommerce order fulfillment. Oper. Res. 63(6):1336–1351.Link, Google Scholar
- (2015) Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (MIT Press, Cambridge, MA).Google Scholar
- (2018) Joint dynamic pricing and order fulfillment for e-commerce retailers. Manufacturing Service Oper. Management 20(2):269–284.Link, Google Scholar
- (2007) Nonparametric Econometrics: Theory and Practice (Princeton University Press, Princeton, NJ).Google Scholar
- (2021) Integrating anticipative replenishment allocation with reactive fulfillment for online retailing using robust optimization. Manufacturing Service Oper. Management 23(6):1616–1633.Link, Google Scholar
- (2020) Assortment optimization under the multinomial logit model with sequential offerings. INFORMS J. Comput. 32(3):835–853.Link, Google Scholar
- (1959) Individual Choice Behavior (John Wiley & Sons, Hoboken, NJ).Google Scholar
- Macrotrends.net (2019) Amazon profit margin 2006-2018. Accessed July 8, 2019, https://www.macrotrends.net/stocks/charts/AMZN/amazon/profit-margins.Google Scholar
- (2005) Predicting good probabilities with supervised learning. Dzeroski S, Raedt LD, Wrobel S, eds. Proc. 22nd Internat. Conf. on Machine Learn. (Association for Computing Machinery, New York), 625–632.Google Scholar
- (2004) Feature selection, L 1 vs. L 2 regularization, and rotational invariance. Brodley C, ed. Proc. 21st Internat. Conf. on Machine Learn. (Association for Computing Machinery, New York), 78.Google Scholar
- (2012) Inbound supply chain optimization and process improvement. Doctoral dissertation, Massachusetts Institute of Technology, Cambridge.Google Scholar
- (2011) Scikit-learn: Machine learning in Python. J. Machine Learn. Res. 12:2825–2830.Google Scholar
- (2019) Amazon’s escalating logistics costs. Statista (March 1), https://www.statista.com/chart/17207/amazon-shipping-and-fulllment-costs/.Google Scholar
- (1969) Conditional probability density and regression estimators. Multivariate Anal. II 25:31.Google Scholar
- (1969) Nonparametric estimation of the transition distribution function of a Markov process. Ann. Math. Statist. 40(4):1386–1400.Crossref, Google Scholar
- (2000) Warehouse design and control: Framework and literature review. Eur. J. Oper. Res. 122(3):515–533.Crossref, Google Scholar
- (2020) JD.com: Transaction level data for the 2020 MSOM Data Driven Research Challenge. Manufacturing Service Oper. Management 26(1):2–10.Google Scholar
- (2009) Parallel large scale feature selection for logistic regression. Apte C, Park H , Wang K , Zaki MJ, eds. Proc. SIAM Internat. Conf. on Data Mining (Society for Industrial and Applied Mathematics, Philadelphia), 1172–1183.Google Scholar
- (2016) Exact analysis of divergent inventory systems with time-based shipment consolidation and compound Poisson demand. Oper. Res. 64(4):906–921.Link, Google Scholar
- (2014) Feature selection for classification: A review. Aggarwal CC, ed. Data Classification: Algorithms and Applications (Chapman and Hall/CRC, Boca Raton), 37.Google Scholar
- (2009) Discrete Choice Methods with Simulation (Cambridge University Press, Cambridge, United Kingdom).Crossref, Google Scholar
- (2021) Shipping consolidation across two warehouses with delivery deadline and expedited options for E-commerce and Omni-channel retailers. Manufacturing Service Oper. Management 23(6):1634–1650.Google Scholar
- (1977) On the formation of travel demand models and economic evaluation measures of user benefit. Environment. Planning A 9(3):285–344.Crossref, Google Scholar
- (2009) Benefits of reevaluating real-time order fulfillment decisions. Manufacturing Service Oper. Management 11(2):340–355.Link, Google Scholar
- (1985) Nonparametric density estimation, prediction, and regression for Markov sequences. J. Amer. Statist. Assoc. 80(389):215–221.Crossref, Google Scholar
- (2020) Pricing with consumer sequential choice model and its application in the design of a threshold-type promotion. Preprint, submitted July 1, https://dx.doi.org/10.2139/ssrn.3623031.Google Scholar
- (2022) A representative consumer model in data-driven multi-product pricing optimization. Management Sci. 68(8):5557–6354.Google Scholar

