Optimization of Apparel Supply Chain Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Optimization of Apparel Supply Chain Using Deep Reinforcement Learning

Published:2022 Issue: Volume:10 Page:100367-100375
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chong Ji Won¹,Kim Wooju¹^ORCID,Hong Juneseok²

Affiliation:

1. Department of Industrial Engineering, Yonsei University, Seodaemun-gu, Seoul, South Korea

2. Department of Management Information Systems, Kyonggi University, Yeongtong-gu, Suwon-si, South Korea

Funder

Jungseok Logistics Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09885193.pdf?arnumber=9885193

Reference27 articles.

1. A mathematical programming-based solution method for the nonstationary inventory problem under correlated demand

2. A deep Q-network for the beer game: A deep reinforcement learning algorithm to solve inventory optimization problems;oroojlooyjadid;arXiv 1708 05924,2017

3. Reinforcement learning approaches for specifying ordering policies of perishable inventory systems

4. Reinforcement learning;sutton;An Introduction Complete Draft,2018

5. Proximal policy optimization algorithms;schulman;arXiv 1707 06347,2017

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