DocumentCode :
977467
Title :
Performability studies of automated manufacturing systems with multiple part types
Author :
Viswanadham, N. ; Pattipati, Krishna R. ; Gopalakrishna, V.
Author_Institution :
Dept. of Comput. Sci. & Autom., Indian Inst. of Sci., Bangalore, India
Volume :
11
Issue :
5
fYear :
1995
fDate :
10/1/1995 12:00:00 AM
Firstpage :
692
Lastpage :
709
Abstract :
We consider the transient performance analysis of failure-prone manufacturing systems producing multiple part types. We decompose the exact monolithic model into: 1) a slower time scale structure state process modeling the failure and repair, and 2) a faster time scale performance model describing the part processing and the material movement. We combine the solution of these two models to show that the accumulated reward over a given time interval is a solution of a set of forward or adjoint multidimensional linear hyperbolic partial differential equations. This result generalizes the existing results on composite performance-dependability analysis of manufacturing systems. We also present efficient numerical methods for computing the distribution of the cumulative operational time, and the mean and variance of the cumulative production over a given time interval. Further, we bring out the significance of these results in the manufacturing systems context through several examples
Keywords :
factory automation; manufacturing industries; partial differential equations; performance evaluation; probability; production control; reliability; automated manufacturing systems; failure-prone manufacturing systems; hyperbolic partial differential equations; material movement; multiple part types; part processing; performability; performance model; performance-dependability; time interval; transient performance analysis; Automatic control; Computer aided manufacturing; Control systems; Manufacturing systems; Multidimensional systems; Partial differential equations; Performance analysis; Production systems; Robotic assembly; Transient analysis;
fLanguage :
English
Journal_Title :
Robotics and Automation, IEEE Transactions on
Publisher :
ieee
ISSN :
1042-296X
Type :
jour
DOI :
10.1109/70.466614
Filename :
466614
Link To Document :
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