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Article: Data-driven research in retail operations—A review
Title | Data-driven research in retail operations—A review |
---|---|
Authors | |
Keywords | machine learning optimization retail operations supply chain management data-driven research |
Issue Date | 2020 |
Citation | Naval Research Logistics, 2020, v. 67, n. 8, p. 595-616 How to Cite? |
Abstract | We review the operations research/management science literature on data-driven methods in retail operations. This line of work has grown rapidly in recent years, thanks to the availability of high-quality data, improvements in computing hardware, and parallel developments in machine learning methodologies. We survey state-of-the-art studies in three core aspects of retail operations—assortment optimization, order fulfillment, and inventory management. We then conclude the paper by pointing out some interesting future research possibilities for our community. |
Persistent Identifier | http://hdl.handle.net/10722/296010 |
ISSN | 2023 Impact Factor: 1.9 2023 SCImago Journal Rankings: 1.260 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Qi, Meng | - |
dc.contributor.author | Mak, Ho Yin | - |
dc.contributor.author | Shen, Zuo Jun Max | - |
dc.date.accessioned | 2021-02-11T04:52:38Z | - |
dc.date.available | 2021-02-11T04:52:38Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Naval Research Logistics, 2020, v. 67, n. 8, p. 595-616 | - |
dc.identifier.issn | 0894-069X | - |
dc.identifier.uri | http://hdl.handle.net/10722/296010 | - |
dc.description.abstract | We review the operations research/management science literature on data-driven methods in retail operations. This line of work has grown rapidly in recent years, thanks to the availability of high-quality data, improvements in computing hardware, and parallel developments in machine learning methodologies. We survey state-of-the-art studies in three core aspects of retail operations—assortment optimization, order fulfillment, and inventory management. We then conclude the paper by pointing out some interesting future research possibilities for our community. | - |
dc.language | eng | - |
dc.relation.ispartof | Naval Research Logistics | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | machine learning | - |
dc.subject | optimization | - |
dc.subject | retail operations | - |
dc.subject | supply chain management | - |
dc.subject | data-driven research | - |
dc.title | Data-driven research in retail operations—A review | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1002/nav.21949 | - |
dc.identifier.scopus | eid_2-s2.0-85091816565 | - |
dc.identifier.volume | 67 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 595 | - |
dc.identifier.epage | 616 | - |
dc.identifier.eissn | 1520-6750 | - |
dc.identifier.isi | WOS:000574532100001 | - |
dc.identifier.issnl | 0894-069X | - |