NDLI: Research on dual-resource multi-objective flexible job shop scheduling under uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Maotao Lang Hua Li
Copyright Year	2011
Description	Author affiliation: School of Economics and Management, Xidian University, Xi'an, China (Maotao Lang; Hua Li)
Abstract	The actual flexible job-shop scheduling problem usually involves multiple objectives optimization, more than one resource constraint and uncertain operation time. The model of dual-resource multi-objective flexible job shop scheduling problem, which considers dual-resource constraints of machines and workers and uncertain operation time constraint, is established, and it takes delivery satisfaction, cost, energy consumption and noise pollution as the optimized objects based upon the actual situation of flexible job shop. Then, an algorithm that combines grey simulation technology and non-dominated sorting genetic algorithm II (NSGA-II) is designed according to the character of the model, and the algorithm process is presented.
Starting Page	1375
Ending Page	1378
File Size	215418
Page Count	4
File Format	PDF
ISBN	9781457705359
e-ISBN	9781457705366
DOI	10.1109/AIMSEC.2011.6010821
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption NSGA-II Job shop scheduling Uncertainty Noise Stochastic processes Flexible Job-shop Scheduling Programming Grey Simulation Dual-resource Multi-objective Optimization Mathematical model
Content Type	Text
Resource Type	Article

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