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Optimal policies for the “yield learning” problem in manufacturing systems

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1 Author(s)
Cassandras, C.G. ; Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA

The yield learning problem encountered in many manufacturing systems involves controlling the production rate of a process so as to maximize cumulative rewards over some time interval. Because yield improvement occurs as a result of discrete events coinciding with lot processing completions, a basic tradeoff arises as high production rates increase rewards for a given yield but also cause longer average lot lead times which delay the events that trigger yield improvement. We show that in some cases simple bang-bang solutions can be obtained for this problem through standard optimal control techniques

Published in:
Automatic Control, IEEE Transactions on  (Volume:41 ,  Issue: 8 )

Date of Publication: Aug 1996

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