Abstract
Production planning and scheduling (PPS) requires human decision making. In this chapter, we introduce two theoretical models of Naturalistic Decision Making (NDM). Their applicability to the PPS domain has not been investigated to date. A field study in a Swiss manufacturing company is described, using existing NDM methods to study ‘real world’ decision making. The findings indicate that planners are using substantial amounts of general production and business-related knowledge to identify and solve decision problems. In their daily work, they are very much dependent on a supportive socio-technical environment that allows efficient information provision, diagnosis and interpretation of the state of affairs, and the development of expertise. The chapter closes with a discussion of NDM-related theoretical and methodological issues, as well as some implications of our research for decision support design.
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References
Benz, M. (2007). The relevance of procedural utility for economics. In B. S. Frey & A. Stutzer (Eds.), Economics and Psychology. Cambridge, MA: MIT.
Betsch, T. (2005). Preference theory. In T. Betsch & S. Haberstroh (Eds.), The routines of decision making (pp. 39–66). Mahwah: Lawrence Erlbaum.
Crawford, S., MacCarthy, B., Wilson, J. R., & Vernon, C. (1999). Investigating the work of industrial schedulers through field study. Cognition, Technology & Work, 1(2), 63–77.
Gigerenzer, G., & Todd, P. M. (1999). Simple heuristics that make us smart. New York: Oxford University Press.
Gilovich, T., Griffin, D., & Kahneman, D. (2002). Heuristics and biases: The psychology of intuitive judgement. Cambridge: Cambridge University Press.
Hamm, R. M. (2003). Medical decision scripts: Combining cognitive scripts and judgment strategies to account fully for medical decision making. In D. Hardman & L. Macchi (Eds.), Thinking (pp. 315–345). Chichester: Wiley.
Hardman, D., & Macchi, L. (2003). Thinking: Psychological perspectives on reasoning, judgment and decision making. Chichester: Wiley.
Klein, G. (1998). Sources of power: How people make decisions. Cambridge, MA: MIT.
Klein, G. (2009). Streetlights and shadows: Searching for the keys to adaptive decision making. Cambridge, MA: MIT.
Lipshitz, R., & Strauss, O. (1997). Coping with uncertainty: A Naturalistic decision-making analysis. Organizational Behavior and Human Decision Processes, 69, 149–163.
Payne, J. W., Bettman, J. R., & Johnson, E. J. (1993). The adaptive decision maker. Cambridge: Cambridge University Press.
Plessner, H., Betsch, C., & Betsch, T. (2008). Intuition in judgement and decision making. New York: Lawrence Erlbaum.
Rasmussen, J., Pejtersen, A. M., & Goodstein, L. P. (1994). Cognitive systems engineering. New York: Wiley.
Svenson, O. (1996). Decision making and the search for fundamental psychological regularities: What can be learned from a process perspective? Organizational Behavior and Human Decision Processes, 65, 225–267.
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185, 1124–1131.
Vicente, K. (1999). Cognitive work analysis. London: Routledge.
Wäfler, T. (2001). Planning and scheduling in secondary work systems. In B. L. MacCarthy & J. R. Wilson (Eds.), Human performance in planning and scheduling (pp. 411–448). London: Taylor & Francis.
Wäfler, T. (2002). Verteilt koordinierte Autonomie und Kontrolle. Doctoral thesis, Universität Zürich, Zürich.
Zambok, C. E., & Klein, G. (1997). Naturalistic decision making. Mahwah: Lawrence Erlbaum.
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Gasser, R., Fischer, K., Wäfler, T. (2010). Decision Making in Planning and Scheduling: A Field Study of Planning Behaviour in Manufacturing. In: Fransoo, J., Waefler, T., Wilson, J. (eds) Behavioral Operations in Planning and Scheduling. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13382-4_2
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