Semi-Structured Recurring Decisions: An Experimental Study of Decision Making Models and Some Suggestions for DSS

Abstract

A key to designing an effective computer-based decision support system is deciding which models best support the decision makers. Since most decision support systems include optimizing rather than tracking models, this experiment examines the evidence for tracking when making a production scheduling decision. The experiment found evidence that tracking behavior was occurring. This suggests the need to support tracking behavior with decision support systems. Approaches to such support are offered.

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