Accession Number : ADA186984

Title :   An Expert System for Asset Reconciliation.

Descriptive Note : Masters's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF SYSTEMS AND LOGISTICS

Personal Author(s) : McCain, Steven A

PDF Url : ADA186984

Report Date : Sep 1987

Pagination or Media Count : 191

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.

Descriptors :   *INVENTORY CONTROL, *COMPUTER PROGRAMS, ACCEPTABILITY, ARTIFICIAL INTELLIGENCE, EFFICIENCY, INVENTORY, MANPOWER, PRODUCTIVITY, SHORTAGES, SUPERVISORS, THESES, USER NEEDS, DECISION MAKING

Subject Categories : Logistics, Military Facilities and Supplies
      Computer Programming and Software

Distribution Statement : APPROVED FOR PUBLIC RELEASE