Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor-Reference-Cited by-同舟云学术

Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor

Published:2020-03-03 Issue:9 Volume:58 Page:2784-2804
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Chien Chen-Fu¹^ORCID,Lin Yun-Siang¹,Lin Sheng-Kai¹

Affiliation:

1. Department of Industrial Engineering & Engineering Management, National Tsing Hua University, Hsinchu, Taiwan, R.O.C

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2020.1733125

Reference88 articles.

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5. A new method to forecast intermittent demand in the presence of inventory obsolescence

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