Generating and evaluating designs and plans for microwave modules

Authors:
Dana Nau;Michael Ball;John Baras;Abdur Chowdhury;Edward Lin;Jeff Meyer;Ravi Rajamani;John Splain;Vinai Trichur
Affiliations:
Department of Computer Science, University of Maryland and Institute for Systems Research, University of Maryland, College Park, MD 20742, USA;Institute for Systems Research, University of Maryland and Robert H. Smith School of Business, University of Maryland, College Park, MD 20742, USA;Electrical and Computer Engineering Department, University of Maryland, College Park, MD 20742, USA;IITRI, Rockville, MD, USA;Institute for Systems Research, University of Maryland, College Park, MD 20742, USA;GTE/BBN Technologies;RWD Technologies;Mitretek Systems;i2 Technologies
Venue:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Year:
2000

Citing 14
Cited 1

PWA Planner- A rule based system for printed wiring assemblies process planning

Computers and Industrial Engineering - Proceedings of the 9th Annual Conference on Computers and Industrial Engineering
Practical microstrip circuit design

Practical microstrip circuit design
An expert process planning system for electronics PCB assembly

Computers and Electrical Engineering - Special issue on artificial intelligence in engineering design and manufacturing
Task-network planning using total-order forward search, and applications to bridge and to microwave module manufacture

Task-network planning using total-order forward search, and applications to bridge and to microwave module manufacture
Integrating electrical and mechanical design and process planning

Proceedings of the IFIP TC5/WG5.2 international conference on Knowledge intensive CAD volume 2
Control strategies in HTN planning: theory versus practice

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
HICAP: an interactive case-based planning architecture and its application to noncombatant evacuation operations

AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Advances in Feature-Based Manufacturing

Advances in Feature-Based Manufacturing
An Introduction to Automated Process Planning Systems

An Introduction to Automated Process Planning Systems
On the Use of Integer Programming Models in AI Planning

IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
SHOP: Simple Hierarchical Ordered Planner

IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Assembly Automation and Product Design, Second Edition (Manufacturing Engineering and Materials Processing)

Assembly Automation and Product Design, Second Edition (Manufacturing Engineering and Materials Processing)
Ten challenges in propositional reasoning and search

IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
AI planning versus manufacturing-operation planning: a case study

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2

A Multi-agent Approach to Process Design

KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference

Quantified Score

Hi-index	0.02

Visualization

Abstract

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.