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Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor.
Chen-Fu Chien
Yun-Siang Lin
Sheng-Kai Lin
Published in:
Int. J. Prod. Res. (2020)
Keyphrases
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reinforcement learning
forecast models
planning horizon
cost savings
distribution network
supply chain
dynamic programming
lead time
market share
markov decision processes
learning algorithm
optimal policy
state space
graphical models