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Planning and Scheduling Based on an Explicit Representation of the State of the Design

[+] Author Affiliations
Andrés Felipe Melo, P. John Clarkson

University of Cambridge, Cambridge, UK

Paper No. DETC2002/DTM-34008, pp. 89-98; 10 pages
  • ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 4: 14th International Conference on Design Theory and Methodology, Integrated Systems Design, and Engineering Design and Culture
  • Montreal, Quebec, Canada, September 29–October 2, 2002
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 0-7918-3624-X
  • Copyright © 2002 by ASME


This paper describes a computational model that provides planning information useful for scheduling the design process. The model aims to reduce uncertainty in the design process and with it the risk of rework. The view is taken that planning is concerned with choosing between alternative actions and action sequences, but not with resource allocation. The planning model is based on an explicit representation of the state of the design process, the definition of the design capabilities as a pool of tasks, and on the generation and selection of plans by evaluating their reliability. Classical decision theory is used for evaluating the plans: a state-action net is built and analyzed as a Markov decision process. The model produces plans based on qualified task dependencies. These plans can be used as a basis for manual and automated scheduling. In an example industrial case study, a reduction of over 30% in the expected rework was predicted.

Copyright © 2002 by ASME
Topics: Design



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