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Intelligent Jig System to Automate Flexible Manufacturing System

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Abstract

Jig pallet systems are intended for the automatic, complete machining or assembly of parts families in the area of medium and large scale manufacturing. Their distinctive feature is that several machine tools, or assembly machines, are linked together to generate an overall system by means of common tool and workpiece supply with integrated computer control. A jig pallet system is considered to be intelligent, if its central processor is equipped with a knowledge-base and an inference-engine. A jig pallet system was structured. It consists of a central processor, tools supply system, workpiece supply system, manufacturing cell which includes four work stations and a local area network. A knowledge-base and inference-engine were developed to reason the next position of jig pallet systems. The jig pallet system, with its incorporated knowledge-base and inference-engine, was tested for a large variety of operational parameters to explore the ability of the central processor to control participant's operations. The conclusion which is derived from these tests is that the central processor can control and optimize participant's operation in real time with minor effects on the system efficiency.

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References

  1. Cencik, P.: Robotics, motion and machine vision in manufacturing, in: 27th Internat. Dedicated Conf. on Super-Computer Applications in the Transportation Industries, 1994.

  2. D'Angelo, A., Gustaldi, M., and Levialdi, N.: Dynamic analysis of the performance of a flexible manufacturing system: A real case application, Computer Integrated Manufacturing Systems 9(2) (1996), 101–110.

    Google Scholar 

  3. Feldman, K., Schnur, C., and Colombo, W.: Modularised, distributed real-time control of flexible production cells, using Petri-nets, Control Eng. Pract. (UK) 4(8) (1996), 1067–1078.

    Google Scholar 

  4. Frankovic, B.: The survey about the role of modeling, simulation, reasoning and decision in the design of FMS protocol, in: 4th Internat. Sympos. on Measurement and Control in Robotics, 1995, pp. 51–59.

  5. Gown, J. A. and Mathieu, R. G.: Critical factors in information system development for a flexible manufacturing system, Computers in Industry 28(3), 173–183.

  6. Hughes, D.: The use of A.I. techniques and animated graphical simulation to control manufacturing cell, in: 3rd Internat. Conf. on Automation, Robotics and Computer Vision, Vol. 1, 1994, pp. 357–363.

    Google Scholar 

  7. Macchiatoli, R. and Riemma, S.: Clustering algorithms to optimize the tool handling system management in the FMS, Internat. J. Flexible Manufacturing Systems 8(2) (1996), 183–201.

    Google Scholar 

  8. Najjari, H. and Steiner, S. J.: An intelligent software system for a robotics assembly cell, in: 12th Internat. Conf. on Computer Aided Production Engineering 61(1/2) (1996), 8–23.

    Google Scholar 

  9. Neve, J. J. L. and Plasschaert, A. W. A.: Application of manufacturing message specification for flexible manufacturing system control, Computers in Industry, 1996, pp. 159–168.

  10. Robinson, P.: Flexible automation system (FAS) simulation, An affordable solution, in: 3rd Internat. Conf. on Automation, Robotics and Computer Vision, Vol. 3, 1994, pp. 1573–1577.

    Google Scholar 

  11. Wen, H. J., Smith, C. H., and Minor, E. D.: Formation and dynamic routing of part families among flexible manufacturing cells, Internat. J. Production Res. 34(8) (1996), 2229–2245.

    Google Scholar 

  12. Xiaogi Chen, Gay, R., and Lim, R.: Design and implementation of an integrated shop floor control system, in: 3rd Internat. Conf. on Automation, Robotics and Computer Vision, Vol. 2, 1994, pp. 793–797.

    Google Scholar 

  13. Zhiming Wu: FMS simulator for implementing job-shop scheduling and floor monitoring, in: Internat. Conf. on Data and Knowledge Systems for Manufacturing and Engineering, Vol. 2, 1994, pp. 491–496.

    Google Scholar 

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Authors and Affiliations

  1. Rafael, P.O. Box 2250, Haifa, 31021, Israel

    Gideon Cohen

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  1. Gideon Cohen
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Cohen, G. Intelligent Jig System to Automate Flexible Manufacturing System. Journal of Intelligent and Robotic Systems 25, 61–77 (1999). https://doi.org/10.1023/A:1008065227528

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