NDLI: Intelligent scheduling based on start time adjustment for advanced sequential control systems

Content Provider	IEEE Xplore Digital Library
Author	Aizono, T. Kikuno, T.
Copyright Year	2000
Description	Author affiliation: Syst. Dev. Lab., Hitachi Ltd., Kawasaki, Japan (Aizono, T.)
Abstract	High productivity is required for industrial systems that are to produce large amounts of low-price products. Most industrial systems are sequentially controlled because materials and parts are processed and constructed step by step. A new method of sequential control is needed to increase productivity, and a new technique to schedule the start time of each process is also needed because of frequent adjustment of production lines and their equipment. Intelligent devices such as intelligent sensors and actuators used in the latest industrial systems have embedded high-performance processors and contain software modules. These devices cooperate and control processing robots and production lines. Advanced sequential control is proposed for sequential control systems consisting of distributed software modules. Processing time can be minimized and productivity increased by intelligent scheduling for advanced sequential control, and this paper describes a new method for adjusting the starting times of production processes automatically. This method shortens the time margin and decreases the total processing time. This paper also describes a processing flow diagram that makes it easy to adjust the starting time of each process. The effectiveness of this intelligent scheduling and start-time-adjustment has been demonstrated by using them to optimize the operation of a system for testing disk plates.
Starting Page	138
Ending Page	145
File Size	58876
Page Count	8
File Format	PDF
ISBN	0769506070
DOI	10.1109/ISORC.2000.839521
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-03-17
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Job shop scheduling Automatic control Productivity Electrical equipment industry Control systems Production Intelligent sensors Intelligent actuators Processor scheduling Intelligent robots
Content Type	Text
Resource Type	Article

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