NDLI: Stochastic scheduling algorithm for multiple mould and die manufacturing projects and its simulation

Content Provider	IEEE Xplore Digital Library
Author	Sha-qing, Zhang Xin-du, Chen
Copyright Year	2011
Description	Author affiliation: School of Management, Guangdong University of Technology, Guangzhou, China (Sha-qing, Zhang) \|\| School of Mechatronics Engineering, Guangdong University of Technology, Guangzhou, China (Xin-du, Chen)
Abstract	Through the analysis of uncertainties of the durations, costs and rewards as well as the characteristic of frequent repairing in the mould and die manufacturing project, this paper proposed a stochastic evolution model of multiple mould and die manufacturing projects, which was on the basis of a discrete time Markov chain. With the aim to overcome the ‘curse of dimensionality’, an algorithm framework combining parallel simulation of heuristic policies with MATLAB Distributed Computing Server and Q-Learning was put forward to solve the above stochastic dynamic programming model. Finally, such an algorithm framework was explained with a sample example. The results show that the model is applicable and the algorithm is reliable and effective as well.
Starting Page	1
Ending Page	6
File Size	345319
Page Count	6
File Format	PDF
ISBN	9781424486915
e-ISBN	9781424486946
DOI	10.1109/ICEBEG.2011.5885289
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Markov chain Parallel simulation of heuristic policies Computational modeling Atmospheric modeling Multiple mould and die manufacturing projects Markov processes Stochastic dynamic programming Q-Learning Manufacturing Computer numerical control MATLAB
Content Type	Text
Resource Type	Article

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