Artificial Intelligence and the Management Science Practitioner: Knowledge Enhancements to a Decision Support System for Vehicle Routing

Peter Duchessi, Salvatore Belardo and John P. Seagle
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Peter Duchessi: School of Business, State University of New York at Albany, Albany, New York 12222
Salvatore Belardo: School of Business, State University of New York at Albany, Albany, New York 12222
John P. Seagle: School of Business, State University of New York at Albany, Albany, New York 12222

Interfaces, 1988, vol. 18, issue 2, 85-93

Abstract: The application reported in this paper is a working prototype of a new generation of DSSs that more fully support decision makers. Like many DSSs it uses a general algorithm to solve an abstraction of the real problem. Because only an abstraction was solved, a KBES was used to apply knowledge of the general domain to move to a solution that is feasible and satisfactory for the real problem. This role for a KBES appears to have wide applicability in a setting where a model is insufficient by itself. In addition to demonstrating this role, we have identified two other generalizable roles: model selection and sensitivity analysis. We expect DSSs of the future to use KBESs in all three roles.

Keywords: artificial intelligence; decision analysis systems (search for similar items in EconPapers)
Date: 1988
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