Accession Number : ADA134948

Title :   Exploring the Feasibility of Developing an Automated Work Estimation System for the Air Force Communications Command Engineering and Installation Function.

Descriptive Note : Master's thesis,

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

Personal Author(s) : Kelly,B J ; Ward,C L

PDF Url : ADA134948

Report Date : Sep 1983

Pagination or Media Count : 131

Abstract : Air Force Communications Command accomplishes more than 2,500 installations, modifications, and removals of ground communications-electronics equipment and system each year. The responsibility for this mission is assigned to the Engineering Installation Center (EIC). Since its inception in 1981, the EIC has witnessed numerous instances where target completion dates were not met and unprogrammed resources were consumed. Although many factors contribute to these problems, the root issue can be traced to the original man-hour projections annotated during the request for technical assistance process. Specifically, man-hour estimates are made solely on the subjective judgement and experience of scheme engineers. This research explores the feasibility of developing an automated work estimation system which, as a component of the EI Management System (EIMS), could be applied to arrive at man-hour estimates. This paper evaluates the existing EIMS data base and applies multiple regression analysis to a set of explanatory variables. The research concludes that the existing data base does not lend itself to an automated estimating system due to the paucity of germane physical and performance characteristic data to set up an estimating relationship. (Author)

Descriptors :   *Work measurement, *Management information systems, *Data bases, Planning programming budgeting, Feasibility studies, Linear regression analysis, Estimates, Limitations, Air Force planning, Automatic, Warning systems, Command and control systems, Communication and radio systems, Theses

Subject Categories : Administration and Management
      Information Science
      Personnel Management and Labor Relations

Distribution Statement : APPROVED FOR PUBLIC RELEASE