A Model of the Base Civil Engineering Work Request/Work Order Processing System.

Abstract

Base Civil Engineering is tasked with constructing, repairing, maintaining, and operating real property facilities. Within these areas falls most of the work which is accomplished by work order. Presently, Civil Engineering has no model for estimating work order completion time or for testing changes to the work order processing system. This research identifies the variables that significantly affect the accomplishment time and proposes a prototype model designed to predict this completion time. An extensive analysis was conducted to systematize the general structure of the work request/work order processing system and its behavior with respect to work order processing time. A conceptual model was developed to describe the work request/work order processing system as a stochastic queueing system in which the processing times and the various distributions are treated as random variables. Historical data was collected from Barksdale Air Force Base. An attempt was made to operationalize the conceptual model using the Q-GERT Network Analysis Program. The results of the model were inconclusive due to limits the Q-GERT object program. However, the procedures to overcome these limitations are presented and discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1979
Accession Number
ADA075590

Entities

People

  • Dean G. Fogleman
  • Walter A. Arnold

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Civil Engineering
  • Computer Programs
  • Databases
  • Engineering
  • Engineers
  • Industrial Engineering
  • Ions
  • Mathematical Models
  • Organizational Structure
  • Production Control
  • Social Sciences
  • Statistical Analysis
  • Statistics
  • Systems Engineering
  • War Colleges

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Nuclear Civil Defense.
  • Systems Analysis and Design