A Study of Estimating Project Design Manhours.

Abstract

The purpose of this thesis was to analyze design variables which affect the time required to design a project and to develop a model for estimating required design time based on these variables. A survey was distributed to all Civil Engineering design sections located in the CONUS. Specific data were requested on previously designed projects and on pertinent factors considered when estimating project design manhours. The results of the survey indicated that the three most important factors were: complexity of the project, estimated cost of the project, and experience of the engineer. Multiple linear regression analysis was used to statistically analyze what effect the independent design variables (cost of project, complexity, number of disciplines, experience of the engineer, type of work, type of funds, modularity, previous similar projects, and drafting work by the engineer) would have on the dependent variable (design manhours). A relationship was found to exist between project design manhours and the independent variables. However, this relationship was too weak to produce an accurate enough model to estimate project design manhours. Although a weak relationship was demonstrated for the composite analysis of all bases, a relatively strong relationship existed for individual bases. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA061340

Entities

People

  • David F. Ruschmann
  • Donald J. Meister
  • Richard N. Moss

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Analysis Of Variance
  • Civil Engineering
  • Computer Programs
  • Data Analysis
  • Databases
  • Descriptive Analytics
  • Engineering
  • Engineers
  • Information Science
  • Linear Regression Analysis
  • Materials
  • New York
  • Regression Analysis
  • Standards
  • Surveys

Fields of Study

  • Computer science

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