University of Illinois Urbana-Champaign

Optimal scheduling and resource utilization for repetitive construction projects

Altuwaim, Ayman Abdullah

Content Files
ALTUWAIM-DISSERTATION-2018.pdf

Permalink

https://hdl.handle.net/2142/101757

Description

Title
Optimal scheduling and resource utilization for repetitive construction projects
Author(s)
Altuwaim, Ayman Abdullah
Issue Date
2018-07-05
Director of Research (if dissertation) or Advisor (if thesis)
El-Rayes, Khaled
Doctoral Committee Chair(s)
El-Rayes, Khaled
Committee Member(s)
  • Liu, Liang Y.
  • Golparvar-Fard, Mani
  • El-Gohary, Nora
  • Elbanna, Ahmed
Department of Study
Civil & Environmental Eng
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2018-09-27T16:45:31Z
Keyword(s)
  • Repetitive Construction
  • Linear Scheduling
  • Resource-Driven Scheduling
  • Optimization
  • Genetic Algorithms
  • Construction Management
  • Multi-Objective Genetic Algorithms
  • Overtime
  • Crew Work Continuity
  • Scheduling Algorithms
Abstract
Repetitive construction projects require construction crews to repeat their work in a number of locations in the same project, moving from one location to the next. Scheduling this type of projects often requires maximizing work continuity for these crews while reducing the project duration and the use of overtime. The main goal of this study is to present the development of novel models for optimizing the scheduling of repetitive construction projects that is capable of accomplishing these planning objectives. To achieve this goal, the research objectives of this study are to develop (1) a novel heuristic and computationally-efficient scheduling model for repetitive projects that minimizes both the project duration and crew work interruptions; (2) an innovative optimization model for scheduling repetitive construction projects that is capable of searching for and identifying optimal schedules that minimize project duration, work interruptions, and interruption costs; and (3) a novel multi-objective optimization model for repetitive construction projects that generates optimal tradeoffs among project duration, work interruptions, and overtime use. The performance of these developed models was analyzed and verified by comparing their results to those generated by existing models. The results of this analysis illustrates the novel and unique capabilities of the developed models in generating optimal tradeoffs among project duration, work interruptions, and overtime use. These novel capabilities are expected to provide much needed support to planners of repetitive construction projects and enable them to (i) minimize project duration, (ii) maximize crew work continuity, (iii) minimize interruption costs, (iv) minimize the use of overtime hours; and (v) reduce the required time and effort to perform the scheduling computations for large-scale repetitive construction projects by using a computationally efficient heuristic scheduling model.
Graduation Semester
2018-08
Type of Resource
text
Permalink
http://hdl.handle.net/2142/101757
Copyright and License Information
Copyright 2018 Ayman Altuwaim

Owning Collections

Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois
Dissertations and Theses - Civil and Environmental Engineering