An Expert System for Asset Reconciliation.
Abstract
Expert system technology appears to hold considerable promise for enhancing productivity and promoting better decision-making. The purpose of this study was to determine if an expert system application for asset reconciliation could improve inventory management procedures and potentially produce savings for the Government while alleviating manpower shortages. The primary objective of this research was to validate and extend a previous research finding that documented a 15 percent increase in the effectiveness of inventory managers when assisted by an expert system. Research was conducted to develop an expert system for a different task and to measure the performance level of this expert system, both in terms of the effectiveness and the efficiency of item managers who were assisted by the system. The expert system developed was titled the Manager's Asset Reconciliation System (MARS). MARS improved the overall effectiveness of item managers by 19.45 percent. There appeared to be a reduction in the efficiency of item managers assisted by the expert system. User acceptance of MARS was high and recommendations for further testing of MARS are provided. Keywords: Theses; Artificial intelligence.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1987
- Accession Number
- ADA186984
Entities
People
- Steven A. Mccain
Organizations
- Air Force Institute of Technology