Effects of Process planning Upon Production Scheduling under concurrent Environment

Li, Shujuan; Li, Yan; Liu, Yong

doi:10.1109/wcica.2006.1714500

2006 6th World Congress on Intelligent Control and Automation 2006

DOI: 10.1109/wcica.2006.1714500

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Effects of Process planning Upon Production Scheduling under concurrent Environment

Shujuan Li

Yan Li

Yong Liu

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2008

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Descending Deviation Optimization techniques for scheduling problems

McCarty

Manic

2008

2008 IEEE International Conference on Emerging Technologies and Factory Automation

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In factory automation, production line scheduling entails a number of competing issues. Finding optimal configurations often requires use of local search techniques. Local search looks for a goal state employing heuristics and random local "probes" in order to move from state to state. All local search techniques, however, suffer from problems with local maxima, i.e. have the potential of getting "stuck" in a suboptimal state. While careful introduction of randomizations is certainly a recognized technique, it can also lead the algorithm even more astray. This paper describes a heuristic technique called Descending Deviation Optimizations (DDO) in which a gradually lowering--randomization ceiling allows a local search technique to "bounce" randomly without going too far astray. An example applying the DDO to a local search technique and achieving significant improvement is shown.

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Descending Deviation Optimization techniques for scheduling problems

McCarty

Manic

2008

2008 IEEE International Conference on Emerging Technologies and Factory Automation

View full text Add to dashboard Cite

show abstract

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Effects of Process planning Upon Production Scheduling under concurrent Environment

Cited by 1 publication

References 10 publications

Descending Deviation Optimization techniques for scheduling problems

Descending Deviation Optimization techniques for scheduling problems

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