Factors for Generating Initial Construction Schedules

Abstract

This report outlines a Knowledge-Based Systems (KBS) approach to acquiring, formalizing, and representing construction scheduling knowledge. This process formalizes key factors that experienced schedulers use to develop initial construction schedules. This study focused on identifying the factors used to logically sequence construction activities. Four such major factors are: (1) physical relationships among building components (e.g., supported-by, embedded-in,etc.); (2) interaction among crews, equipment, materials, etc.; (3) requirement of an interference-free path for components and their installation; and (4) code regulations that ensure the safety of construction operations and the ability to supervise and inspect installed components. These factors were used to develop a KBS prototype, CASCH, (Computer-assisted Scheduling) computer program that helps formalize and represent the acquired knowledge. This prototype demonstrates the feasibility of delivering scheduling knowledge in a way that enables user interaction. CASCH uses object-oriented and rule-based knowledge representation tools to state typical sequencing rules that help to generate macro-level schedules for typical mid-rise commercial building construction.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1991
Accession Number
ADA243662

Entities

People

  • Diego Echeverry

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Civil Engineering
  • Cognition
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Construction
  • Electrical Equipment
  • Engineers
  • Excavation
  • Expert Systems
  • Groundwater
  • Knowledge Based Systems
  • Lisp Programming Language
  • Medical Personnel
  • Urban Areas

Fields of Study

  • Computer science
  • Engineering

Readers

  • Artificial Intelligence
  • Industrial Economics
  • Instructional Design and Training Evaluation.