Abstract
Computer aided process planning is a key part of bridging the link between design and manufacturing. Case-based reasoning provides an attractive paradigm for process planning as it combines the generative and variant approaches and improves the effectiveness of the planner by applying old experiences to solving new planning problems. We present a new case-based planning methodology that extends the capability and effectiveness of previous approaches by incorporating the ability to learn new domain knowledge from other planners via an integrated knowledge sharing mechanism. In addition, our planner has the capability to use multiple cases in the process of constructing a new plan, providing more effective utilization of the planner's previous experiences. The planning algorithm is based on domain-independent partial-order planning, and provides a formal approach to case-based process planning.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the IEEE International Symposium on Assembly and Task Planning |
| Pages | 107-112 |
| Number of pages | 6 |
| State | Published - 1995 |
| Event | Proceedings of the IEEE International Symposium on Assembly and Task Planning - Pittsburgh, PA, USA Duration: Aug 10 1995 → Aug 11 1995 |
Other
| Other | Proceedings of the IEEE International Symposium on Assembly and Task Planning |
|---|---|
| City | Pittsburgh, PA, USA |
| Period | 8/10/95 → 8/11/95 |
Fingerprint
ASJC Scopus subject areas
- Engineering(all)
Cite this
Case-based manufacturing process planning with integrated support for knowledge sharing. / Britanik, J.; Marefat, Michael Mahmoud.
Proceedings of the IEEE International Symposium on Assembly and Task Planning. 1995. p. 107-112.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Case-based manufacturing process planning with integrated support for knowledge sharing
AU - Britanik, J.
AU - Marefat, Michael Mahmoud
PY - 1995
Y1 - 1995
N2 - Computer aided process planning is a key part of bridging the link between design and manufacturing. Case-based reasoning provides an attractive paradigm for process planning as it combines the generative and variant approaches and improves the effectiveness of the planner by applying old experiences to solving new planning problems. We present a new case-based planning methodology that extends the capability and effectiveness of previous approaches by incorporating the ability to learn new domain knowledge from other planners via an integrated knowledge sharing mechanism. In addition, our planner has the capability to use multiple cases in the process of constructing a new plan, providing more effective utilization of the planner's previous experiences. The planning algorithm is based on domain-independent partial-order planning, and provides a formal approach to case-based process planning.
AB - Computer aided process planning is a key part of bridging the link between design and manufacturing. Case-based reasoning provides an attractive paradigm for process planning as it combines the generative and variant approaches and improves the effectiveness of the planner by applying old experiences to solving new planning problems. We present a new case-based planning methodology that extends the capability and effectiveness of previous approaches by incorporating the ability to learn new domain knowledge from other planners via an integrated knowledge sharing mechanism. In addition, our planner has the capability to use multiple cases in the process of constructing a new plan, providing more effective utilization of the planner's previous experiences. The planning algorithm is based on domain-independent partial-order planning, and provides a formal approach to case-based process planning.
UR - http://www.scopus.com/inward/record.url?scp=0029194966&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029194966&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0029194966
SP - 107
EP - 112
BT - Proceedings of the IEEE International Symposium on Assembly and Task Planning
ER -