Analytical framework for evaluating and optimizing the performance of structurally controlled flexible manufacturing systems

S. A. Reveliotis, P. M. Ferreira

Research output: Contribution to journalConference article

Abstract

Defining the capacity of the structurally controlled FMS [1] is an extremely involved task. Most existing evaluation models fail to capture all these features that define the effective capacity of such a system. Recognizing that, under the assumption of exponential processing times, the structurally controlled FMS behaves like a Continuous-Time Markov Chain, this paper proposes an analytical framework for evaluating and optimizing its attained performance. Due to its nonpolynomial computational cost, the approach is applicable only to small FMS configurations, but it seems to be the only known framework able to support the exact solution of the considered problem. Furthermore, it can provide the insight needed for the development of valid approximating techniques that are computationally tractable.

Original languageEnglish (US)
Pages (from-to)864-869
Number of pages6
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume1
StatePublished - Jan 1 1996
EventProceedings of the 1996 13th IEEE International Conference on Robotics and Automation. Part 1 (of 4) - Minneapolis, MN, USA
Duration: Apr 22 1996Apr 28 1996

Fingerprint

Flexible manufacturing systems
Markov processes
Processing
Costs

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Cite this

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