Abstract
As part of a larger project investigating the nature of planning and scheduling, we conducted an interdisciplinary research agenda focusing on the scheduler and the scheduling task. Preliminary field research resulted in a paradigm being derived for planning and scheduling in industries that are under a state of development or that have a degree of inherent uncertainty (e.g., electronics, ceramics, biotech, and custom job shops). Methods from the social sciences (e.g., Organizational Behavior and Cognitive Science) were then used to gather and analyse information from the field to validate and support the concepts. This paper describes the approach taken for the field research and discusses the benefits that can be obtained when a social science perspective is taken to studying the management of operations.
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Bibliography
Anthony, R.N., Planning and Control Systems: A Framework For Analysis, Harvard Business School Press, Boston (1965).
Anthony, R.N., The Management Control Function, Harvard Business School Press, Boston (1988).
Becker, R.A., “All Factories Are Not the Same,” Interfaces,15(3), 85–93 (1985).
Buxey, G., “Production Scheduling: Practice and theory,” European Journal of Operational Research, 39, 17–31 (1989).
Chase, W.G., and Simon, H.A., “The mind’s eye in chess,” In Visual information processing (W.G. Chase, Ed.), Academic Press, New York, 215–281(1973).
Chi, M.T.H., Feltovich, P.J., and Glaser, R., “Categorization and Representation of Physics Problems by Experts and Novices,” Cognitive Science, 5, 121–152 (1981).
Chi, M.T.H., Glaser, R, and Rees, E., “Expertise in Problem Solving,” In Advances in the psychology of human intelligence (Sternberg, Ed.), 7–75 (1982).
Dertouzos, M.L., Lester, R.K., and Solow, R.M., Made In America, Harper Perennial, New York (1989).
Ericsson, K.A., and Simon, H.A., Protocol Analysis: Verbal Reports as Data,The MIT Press, Cambridge (1984).
Glazer, M., The Research Adventure: Promise and Problems of Field Work, Random House, New York (1972).
Hoch, S.J., and Loewenstein, G.F., “Outcome Feedback: Hindsight and Information,” Working paper: University of Chicago, Graduate School of Business Center for Decision Research (1988).
Jorgensen, D.L., Participant Observation: A Methodology for Human Studies, Sage Publications, London (1989).
Kempf, K.G., Russell, B., Sidhu, S., and Barrett, S., “AI-Based Schedulers in Manufacturing Practice,” AI Magazine, 11(5), 46–55 (1991).
Klein, J.A., Revitalizing Manufacturing, Irwin, Homewood (1990).
Knoeppel, C.E., Maximum Production In Machine-Shop and Foundry, The Engineering Magazine, New York (1911).
Larkin, J., McDermott, J., Simon, D.P., and Simon, H.A., “Expert and Novice Performance in Solving Physics Problems,” Science, 208, 1335–1342 (1980).
Lewin, K., Field Theory in Social Science - Selected Theoretical Papers (D. Cartwright, Ed.), Harper & Row Publishers, New York, (1951).
McKay, K.N., Conceptual Framework For Job Shop Scheduling,Unpublished MASc Dissertation, University of Waterloo, Department of Management Sciences (1987).
McKay, K.N., Production Planning and Scheduling: A Model For Manufacturing Decisions Requiring Judgement, Unpublished PhD Dissertation, University of Waterloo, Department of Management Sciences (1992).
Nachmias, D. and Nachmias, C., Research Methods In The Social Sciences - 3rd Edition, St. Martin’s Press, New York (1987).
Olson, J.R., and Biolsi, K.J., “Techniques for representing expert knowledge,” In Toward a general theory of expertise - Prospects and limits (K.A. Ericsson and J. Smith, Eds.), Cambridge University Press, Cambridge, 240–285 (1991).
Rodammer, F.A., and White, K.P., “A Recent Survey of Production Scheduling,” IEEE Transactions on Systems, Man, and Cybernetics, 18(6), 841–851 (1989).
Simon, H.A., and Chase, W.G., ‘Skill in Chess,’ American Scientist, 61(4), 394–403 (1973).
Synodinos, N.E., “Hindsight Distortion: ‘I knew it all along and I was sure about it’,” Journal Applied Social Psychology, 16(2), 107–117 (1986).
Tversky, A., and Kahneman, D., “Evidential Impact of Base Rates,” In Judgement under uncertainty: Heuristics and biases (D. Kahneman, P. Slovic and A. Tversky, Eds.), Cambridge University Press, Cambridge, 153–160 (1982).
Von Cranach, M., and Kalbermatten, U., “Ordinary Interactive Action: theory, methods, and some empirical findings,” In The Analysis of Action(M. von Cranach and R. Harre, Eds.), Cambridge University Press, London, 115–160 (1982).
Yao, D., and Pei, F.F., “Flexible Parts Routing in Manufacturing Systems,” IIE Transactions, 22(1), 48–55 (1990).
Yin, R.K., Case Study Research: Design and Methods, Sage Publications, London (1989).
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McKay, K.N., Safayeni, F.R., Buzacott, J.A. (1995). Schedulers & Planners: What and How Can We Learn From Them. In: Brown, D.E., Scherer, W.T. (eds) Intelligent Scheduling Systems. Operations Research / Computer Science Interfaces Series, vol 3. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2263-8_2
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DOI: https://doi.org/10.1007/978-1-4615-2263-8_2
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