Simulation system for the control of manufacturing lines

ABSTRACT

LMA (Line Manager Advisor) is a hybrid application to perform process control and scheduling in a manufacturing system. It combines both procedural and declarative approaches. The simulation model embedded in LMA enables to study the behavior of the target system and to determine the different critical parameters. It is used for the design of the target system as well as for the evaluation of the decision actions. This paper describes the concepts and the features used in the simulation model and how they have been implemented.

REFERENCES

• 1: Andersen M. An object oriented modelling environment. SCS Roma 1989
• 2: Biggs J A, Hall L M, Mixed model line balancing concept. IBM Technical Publication, TN45-4004, 1967
• 3: Bruck J, Sanz J, A study on neural networks. IBM Computer Science, RJ5403 (55354), 1986
• 4: Cavaille J B, Proth J M, SIPRODIS: Pratique de la simulation en production discontinue. Colection NOVOTIQUE. Edition EC2.
• 5: Chappaz E, Giambiasi N, Massotte P, PIAUL: a knowledge based system for process control and monitoring of a mfg line. SCS Nice 1988.
• 6: Chappaz E, Giambiasi N, Massotte P, Feldman G, Antonsanti P, Simulator for control of manufacturing lines. SCS Roma 1989.
• 7: Fayex A M, Vanteenkiste G C, Simulation environments for process control and real time simulation. SCS Roma 1989.
• 8: Fogelman-Soulie F. Le Connexionisme, MARI 1987 Machines et reseaux intelligents COGNITIVA 1987.
• 9: Lewis W, Barash M M, Solberg J J, Computer Integrated Manufacturing system control: A data flow approach, Journal of Manufacturing system, volume 6, Number 3.
• 10: Mc Gee B, Giambiasi N, et al. An adaptative and evolutive tool for describing a general hierarchical models based on frames and demons. Proc 22nd DAC Las Vegas, 1985.
• 11: Ohhata M, Line optimization by elimination of wastes. IBM Technical Report, TR81-0026, 1986
• 12: Ousslah C, Giambiasi N, Bath R, A framework for modelling and linking the structure of a system. IMAC'88, Paris, 1988
• 13: Stefik M, Bobrow D G, Object oriented programming: themes and variations. AI Magazine, 1984
• 14: Stendel H J, Simshop: A tool shop/cellular manufacturing simulator. Journal of Manufacturing systems. Vol 5, Number 3.
• 15: Annual Simulation Symposium. Edition S. TABAKA 1986.
• 16: Vaucher G, Views of modelling: Comparing the simulation and al approaches, P 3--7, Artificial Intelligence, Graphics and simulation. SCS publication, edited by Graham Birtwistle, 1985.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE

Additional Classification:
  F. Theory of Computation
  F.2 ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY
      F.2.2 Nonnumerical Algorithms and Problems
          Subjects: Sequencing and scheduling

  G. Mathematics of Computing
  G.2 DISCRETE MATHEMATICS

  I. Computing Methodologies
  I.6 SIMULATION AND MODELING

  J. Computer Applications
  J.7 COMPUTERS IN OTHER SYSTEMS
      Subjects: Industrial control

General Terms:
Algorithms, Design, Performance