NDLI: Scheduling and optimization for a class of single-stage hybrid manufacturing systems

Content Provider	IEEE Xplore Digital Library
Author	Jihui Zhang Likuan Zhao Wook Hyun Kwon
Copyright Year	2001
Description	Author affiliation: ERC-ACI, Seoul Nat. Univ., South Korea (Jihui Zhang)
Abstract	A study on modeling, scheduling and optimal control problems for a class of hybrid manufacturing systems is investigated. In this framework, the discrete entities have a state characterized by a temporal component whose evolution is described by event-driven dynamics and a physical component whose evolution is described by continuous time-driven dynamics, thus it is a typical hybrid system. Not only the optimal control for manufacturing processes like that discussed in many references but also the optimal machining sequence are considered. The whole problem is solved by a two-level optimization method: in the inner level, for any given machining sequence of the jobs, the optimal control for the manufacturing process is considered, which is a nonsmooth, nonconvex optimization problem in the general case; while at the outer level, we use an improved genetic algorithm to decide the optimal machining sequence of a batch of jobs to be processed. Finally, some examples are given to illustrate the validity of our algorithm.
Sponsorship	IEEE Robotics & Autom. Soc
Starting Page	3115
Ending Page	3120
File Size	421972
Page Count	6
File Format	PDF
ISBN	0780365763
ISSN	10504729
DOI	10.1109/ROBOT.2001.933096
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Job shop scheduling Manufacturing systems Optimal control Discrete event systems Manufacturing processes Machining Control system synthesis Automata Pulp manufacturing Virtual manufacturing
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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