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Generating and evaluating designs and plans for microwave modules

Published online by Cambridge University Press:  26 December 2000

DANA NAU ,
MICHAEL BALL ,
JOHN BARAS ,
ABDUR CHOWDHURY ,
EDWARD LIN ,
JEFF MEYER ,
RAVI RAJAMANI ,
JOHN SPLAIN  and
VINAI TRICHUR
DANA NAU
Affiliation:
Department of Computer Science, University of Maryland, College Park, MD 20742 USA Institute for Systems Research, University of Maryland, College Park, MD 20742 USA
MICHAEL BALL
Affiliation:
Institute for Systems Research, University of Maryland, College Park, MD 20742 USA Robert H. Smith School of Business, University of Maryland, College Park, MD 20742 USA
JOHN BARAS
Affiliation:
Electrical and Computer Engineering Department, University of Maryland, College Park, MD 20742 USA
ABDUR CHOWDHURY
Affiliation:
IITRI, Rockville, MD, USA
EDWARD LIN
Affiliation:
Institute for Systems Research, University of Maryland, College Park, MD 20742 USA
JEFF MEYER
Affiliation:
GTE/BBN Technologies
RAVI RAJAMANI
Affiliation:
RWD Technologies
JOHN SPLAIN
Affiliation:
Mitretek Systems
VINAI TRICHUR
Affiliation:
i2 Technologies
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Abstract

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This paper describes the process planning techniques we developed for use in an Integrated Product and Process Design (IPPD) tool for the design and manufacture of microwave transmit/receive modules. Given a collection of data about the design of a microwave module, the IPPD tool uses a combination of AI planning and OR trade-off analysis to produce a collection of alternative designs and alternative process plans that have Pareto optimal values for manufacturing and purchasing lead time, process yield, cost, and number of suppliers. The IPPD tool provides facilities to enable the user to generate and examine these Pareto optimal alternatives in real time, in order to provide immediate feedback on how to modify the design to improve its cost and productivity.

Keywords

AI PlanningInteger ProgrammingIntegrated Product and Process Design (IPPD)Process PlanningTradeoff Analysis
Type
Research Article
Information
AI EDAM , Volume 14 , Issue 4 , September 2000 , pp. 289 - 304
Copyright
© 2000 Cambridge University Press