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An innovative machine learning model for supply chain management

Crossref DOI link: https://doi.org/10.1016/j.jik.2022.100276

Published Print: 2022-10

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Lin, Haifeng

Lin, Ji

Wang, Fang
Funding

Funding for this research was provided by:

Jiangsu Provincial Agricultural Science and Technology Innovation Fund (NJ2021-19)

National Natural Science Foundation of China (32101535)

China Postdoctoral Science Foundation (2021K112B)

Jiangsu Province Natural Science Foundation (BE2021716)

Jiangsu Postdoctoral Research Foundation

Key Research and Development Program of Jiangxi Province (No.BE2021716)
License Information

Text and Data Mining valid from 2022-10-01

Text and Data Mining valid from 2022-10-01

Version of Record valid from 2022-09-25
More Information

This article is maintained by: Elsevier

Article Title: An innovative machine learning model for supply chain management

Journal Title: Journal of Innovation & Knowledge

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jik.2022.100276

Content Type: article

Copyright: © 2022 The Authors. Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge.