Hierarchical decision making in computer integrated manufacturing systems

G. Harhalakis, C. P. Lin, R. Nagi, J. M. Proth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a hierarchical approach for decision making and production management in manufacturing systems. Decision making problems in such an environment are complex owing to large dimensionality, wide variety of decisions of varying scope, focus and time-horizon, as well as the presence of random disturbances. A hierarchical approach decomposes the global problem into a series of top-down sub-problems. We propose a multi-layer hierarchical decomposition which is dependent on the complexity of the problem. Aggregation schemes for model reduction have been developed and blended with the time-scale decomposition of activities to provide the basis of the architecture. We present a systematic stepwise design methodology for the construction of the decision making hierarchy, and explain the subsequent operation of the hierarchy in an unreliable environment. Finally, the integration of this architecture with a CIM information system as a means to effectuate timely and consistent decisions.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd International Conference on Cormputer Integrated Manufacturing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages15-24
Number of pages10
ISBN (Electronic)0818626151, 9780818626159
DOIs
StatePublished - 1992
Externally publishedYes
Event3rd International Conference on Cormputer Integrated Manufacturing, CIM 1992 - Troy, United States
Duration: May 20 1992May 22 1992

Publication series

NameProceedings of the 3rd International Conference on Computer Integrated Manufacturing

Conference

Conference3rd International Conference on Cormputer Integrated Manufacturing, CIM 1992
Country/TerritoryUnited States
CityTroy
Period5/20/925/22/92

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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