Data‐driven research in retail operations—A review-Reference-Cited by-同舟云学术

Data‐driven research in retail operations—A review

Published:2020-10-03 Issue:8 Volume:67 Page:595-616
ISSN:0894-069X
Container-title:Naval Research Logistics (NRL)
language:en
Short-container-title:Naval Research Logistics

Author:

Qi Meng¹,Mak Ho‐Yin²^ORCID,Shen Zuo‐Jun Max¹

Affiliation:

1. Department of Industrial Engineering & Operations Research University of California at Berkeley Berkeley California USA

2. Saïd Business School University of Oxford Oxford UK

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Ocean Engineering,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nav.21949

Reference111 articles.

1. Product life cycle data set: Raw and cleaned data of weekly orders for personal computers;Acimovic J.;Manufacturing & Service Operations Management,2019

2. The Fulfillment-Optimization Problem

3. Making Better Fulfillment Decisions on the Fly in an Online Retail Environment

4. Agrawal S. &Jia R.(2019).Learning in structured mdps with convex cost functions: Improved regret bounds for inventory management. Proceedings of the 2019 ACM Conference on Economics and Computation. pp.743–744.

5. Ammar A. Oh S. Shah D. &Voloch L. F.(2014).What's your choice? Learning the mixed multi‐nomial. In: Proceedings of the 2014 ACM International Conference on Measurement and Modeling of Computer Systems pp.565–566.

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