Supervisory Control of a Flexible Manufacturing System

Abstract

This paper describes a study that explored human capabilities in supervisory control of a flexible manufacturing system (FMS). Implications of current design strategies concerning the human supervisory role in FMSs are discussed. Also examined are issues in human supervisory control that arise from features characteristic of these types of automated systems. A real-time interactive simulation methodology is described that served as the basis for evaluating human performance. Results are explained in terms of two frameworks: (1) one that incorporated hypothetical dimensions of the mental workload construct into various task conditions; and (2) a simple decision-making model intrinsic to which was the imposition on the human of a relatively well-defined locus of control. The effectiveness of graphics was evaluated as a decision-support device aimed at enhancing human pattern-recognition capabilities.

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References

Bainbridge, L. (1975). The representation of working storage and its use in the organization of behaviour. In W. T. Singleton and P. Spurgeon (Eds.), Measurement of human resources (pp. 165–183). London: Taylor & Francis.

Barash, M. M. (1982). Computerized manufacturing systems for discrete products. In G. Salvendy (Ed.), Handbook of industrial engineering (Chapter 7.9; pp. 1–7). New York: Wiley.

Broadbent, D. E. (1977). Levels, hierarchies, and the locus of control. Quarterly Journal of Experimental Psychology, 29, 181–201.

Edwards, E. , and Lees, F. P. (Eds.). (1974) The human operator in process control. London: Taylor & Francis.

Greenstein, J. S., and Wysk, R. A. (1980). Human-computer interaction in automated manufacturing systems. Unpublished manuscript, Virginia Polytechnic Institute and State University, Department of Industrial Engineering and Operations Research, Blacksburg, VA.

Groover, M. P. (1980). Automation, production systems, and computer-aided manufacturing. Englewood Cliffs, NJ: Prentice-Hall.

Hatvany, J. , Merchant, M. E. , Rathmill, K. , and Yoshikawa, H. (1982). Results of a world survey of computeraided manufacture. In H. Akashi (Ed.), Control science and technology for the progress of society (pp. 2169–2176). Oxford: Pergamon Press.

Honeywell, Inc., Avionics Division . (1980). Human factors affecting integrated computer-aided manufacturing (Second Interim Technical Report). Minneapolis, MN: Author.

Kearney and Trecker Corp. (1976). Understanding manufacturing systems (Vol. I). Milwaukee, WI: Author.

10.

Kegg, R. L. , and Carter, C. F., Jr. (1982). The batch manufacturing factory of the future (Technical Paper, No. MS82–952). Dearborn, MI: Society of Manufacturing Engineers.

11.

Kvälseth, T. 0. , Crossman, E. R. F. W. , and Kum, K. Y. (1976). The effect of cost on the sampling behavior of human instrument monitors. In T. B. Sheridan and G. Johannsen (Eds.), Monitoring behavior and supervisory control (pp. 393–403). New York: Plenum.

12.

Moray, N. (Ed.). (1979). Mental workload. New York: Plenum.

13.

Parkinson, S. T. , and Avlonitis, G. J. (1982). Management attitudes to flexible manufacturing systems. In Proceedings of the First International Conference on Flexible Manufacturing Systems (pp. 405–412). Bedford, England: IFS Publications Ltd.

14.

Rouse, W. B. (1976). Adaptive allocation of decision making responsibility between supervisor and computer. In T. B. Sheridan and G. Johannsen (Eds.), Monitoring behavior and supervisory control (pp. 295–306). New York: Plenum.

15.

Sharit, J. (1984). Supervisory control of a flexible manufacturing system: An exploratory investigation. Unpublished doctoral dissertation, Purdue University, West Lafayette, IN.

16.

Sheridan, T. B. (1976). Toward a general model of supervisory control. In T. B. Sheridan and G. Johannsen (Eds.), Monitoring behavior and supervisory control (pp. 271–281). New York: Plenum.

17.

Sheridan, T. B. (1982). Cognitive models and computer aids for nuclear plant control room operators. In Proceedings of Workshop on Cognitive Modeling of Nuclear Plant Control Room Operators (pp. 52–62). Dedham, MA: Department of Energy.