NDLI: Complex scheduling strategy for dynamic environment in digitalization-production shop

Content Provider	IEEE Xplore Digital Library
Author	Gong Lin Sun Houfang Xu Qian
Copyright Year	2007
Description	Author affiliation: Beijing Inst. of Technol., Beijing (Gong Lin; Sun Houfang; Xu Qian)
Abstract	The digitalization-production shop is a very complex and dynamic production environment. It a task-oriented production organization, so its production scale and machining ability should be dynamic too. This paper presents a two-hierarchical strategy to analyze the machine load balance and machinability so as to obtain a feasible schedule with minimum total tardiness and maximum machines utilizations. In the first hierarchy, using fuzzy judgment, the substitution of equipment or combination of equipment can be found, which has similar functions with the bottleneck equipment. The tasks in the bottleneck equipment can be dispatched to the substitutable equipment in order to achieve load balance. The second hierarchy is an optimization part. A new scheduling algorithm, which integrates genetic algorithm and particle swarm optimization algorithm, is adapted to solve scheduling problem. It is more effective than genetic algorithm. The validity and feasibility of the strategy is verified by the final experiment.
Starting Page	699
Ending Page	703
File Size	371823
Page Count	5
File Format	PDF
ISBN	9781424415281
DOI	10.1109/IEEM.2007.4419280
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-02
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Job shop scheduling Computer aided manufacturing Machining Dynamic scheduling Scheduling Vehicle dynamics Particle swarm optimization Scheduling algorithm Genetic algorithms Particle swarm algorithm Genetic algorithm Production Digitalization-Production Manufacturing automation
Content Type	Text
Resource Type	Article

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