Knowledge Acquisition for an Expert System at Retail Stock Points.

Abstract

The job of the retail inventory manager at NAVSUP stock points is laborious and complex. The expertise required to perform the job normally takes years to obtain. Improvements in productivity and training are possible through the application of so-called 'expert systems' programming. This thesis presents the decision-making methodology of experts as they perform two common time consuming tasks of a Navy stock point inventory manager--Delinquent Dues and Variable Ranking List processing. Delinquent Dues Listings alert the inventory manager to potential problem requisitions which are well past their estimated delivery date. Variable Ranking Lists highlight a number of situations requiring inventory manager review, the most common being National Stock Numbers (NSNs) with an excessive amount on order. A narrative, flowcharts, and a summary of inventory manager decision rules of these two functions are provided. Building on the recording for these knowledge factors, the potential for an expert system prototype is suggested. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1986
Accession Number
ADA178866

Entities

People

  • Gary W. Westfall

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Age Groups
  • Application Software
  • Artificial Intelligence
  • California
  • Classification
  • Computer Programming
  • Computer Programs
  • Engineering
  • Expert Systems
  • Information Systems
  • Inventory
  • Procurement
  • Prototypes
  • Security
  • Training
  • United States

Readers

  • Logistics and Supply Chain Management.
  • Systems Analysis and Design