May 2015
Intermediate to advanced
790 pages
37h 28m
English
Content preview from Electronic Engineering and Information Science
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779
Electronic Engineering and Information Science – Wang (Ed.)
© 2015 Taylor & Francis Group, London, ISBN: 978-1-138-02772-5
Reinforcement learning of fuzzy joint replenishment problem in
supplychain
C.Y. Li, S.H. Zhao, T.W. Zhang & X.T. Wang
School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China
ABSTRACT: The solution to the Joint Replenishment Problem (JRP) with fuzzy constraint resource was
studied by learning algorithm. The fuzzy programming model was constructed to minimize the sum of invento-
ry holding cost, using trapezium fuzzy numbers to represent the fuzzy resource constraints and all of ...
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