By Topic

PRIAM: polite rescheduler for intelligent automated manufacturing

Sign In

Full text access may be available.

To access full text, please use your member or institutional sign in.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
T. K. Tsukada ; Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA ; K. G. Shin

This paper considers the problem of rescheduling in a decentralized manufacturing system. Flexible manufacturing systems must be able to respond to unexpected disruptions; including schedule disruptions. However, when a cell controller in a decentralized system responds to a disruption, it may disrupt some other cells, because the actions taken at one cell may have some consequence at another cells. In the approach we propose, a controller at a disrupted cell tries to respond in a way which is likely to be least disruptive to other cells, through negotiation with controllers at other cells. This approach, which we call “polite replanning”, has the advantage of retaining much of the original distributed plan, while avoiding wide propagation of the disruption through the rest of the system. We apply this concept to the domain of distributed factory rescheduling, and describe PRIAM (polite rescheduler for intelligent automated manufacturing), a “polite” rescheduling architecture which is currently under development. Simulation results show that the use of negotiation in “polite” rescheduling prevents the wide propagation of disruption from an initial local disruption

Published in:

IEEE Transactions on Robotics and Automation  (Volume:12 ,  Issue: 2 )