Evaluation of Goal Programming for the Optimal Assignment of Inspectors to Construction Projects

Abstract

The purpose of this thesis was to evaluate goal programming as a tool to assist the Chief of Construction Management (CM) assign inspectors to construction projects. Air Force construction projects represent a substantial investment. One way the CM can help insure construction projects are cost effective and high quality is through the efficient use of available resources - the abilities and time of his inspectors. Goal programming appeared to be an appropriate method to help assign inspectors so the CM could obtain the most value out of available inspector man-hours. The evaluation of the model involved developing a general model and applying it to a test organization. The analytic hierarchy process (AHP) was used to translate the preferences and judgements of the CM into a form suitable for a mathematical model. The test confirmed goal programming's ability to represent the inspector assignment problem. The AHP was found to be an appropriate way to translate the CM's desires into model inputs. Despite the success of the model's simulation efforts, a basic difference in the model and the actual decision process was highlighted during the test application. In practice, the CM is constrained to the assignments already made and would only make additional assignments as new projects begin. Keywords: Manpower utilization.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA201523

Entities

People

  • James R. Schnoebelen

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Business Administration
  • Civil Engineering
  • Computer Programming
  • Computers
  • Engineers
  • Judgment
  • Management Personnel
  • Manpower
  • Manpower Utilization
  • Mathematical Models
  • Mathematical Programming
  • Operations Research
  • Organizational Structure
  • Personnel Management
  • Simulations

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Defense Financial Management and Audit.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks