Data-driven research in retail operations - a review
| Autor: | Meng Qi, Zuo-Jun Max Shen, Ho-Yin Mak |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
021103 operations research
Science literature Supply chain management Computer science 0211 other engineering and technologies Ocean Engineering 02 engineering and technology Management Science and Operations Research 01 natural sciences Data-driven 010104 statistics & probability Inventory management Engineering management Work (electrical) Modeling and Simulation Order fulfillment 0101 mathematics |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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