Doctoral Dissertations

Keywords and Phrases

Construction; Scheduling; Semi-conductor

Abstract

“This research examines construction environments within manufacturing facilities, specifically semiconductor manufacturing facilities, and develops a new optimization method that is scalable for large construction projects with multiple execution modes and resource constraints. The model is developed to represent real-world conditions in which project activities do not have a fixed, prespecified duration but rather a total amount of work that is directly impacted by the level of resources assigned. To expand on the concept of resource driven project durations, this research aims to mimic manufacturing construction environments by allowing a non-continuous resource allocation to project tasks. This concept allows for resources to shift between projects in order to achieve the optimal result for the project manager. Our model generates a novel multi-objective resource constrained project scheduling problem. Specifically, two objectives are studied; the minimization of the total direct labor cost and the minimization of the resource leveling. This research will utilize multiple techniques to achieve resource leveling and discuss the advantage each one provides to the project team, as well as a comparison of the Pareto Fronts between the given resource leveling and cost minimization objective functions. Finally, a heuristic is developed utilizing partial linear relaxation to scale the optimization model for large scale projects. The computation results from multiple randomly generated case studies show that the new heuristic method is capable of generating high quality solutions at significantly less computational time”--Abstract, page iv.

Advisor(s)

Qin, Ruwen

Committee Member(s)

Long, Suzanna, 1961-
Dagli, Cihan H., 1949-
Sun, Zeyi
Yu, Vincent (Wen-Bin)
Konur, Dincer
Simon, Helene

Department(s)

Engineering Management and Systems Engineering

Degree Name

Ph. D. in Engineering Management

Comments

This work would not have been possible without the financial support of Intel Corporation.

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2020

Journal article titles appearing in thesis/dissertation

  • Schedule optimization for construction in manufacturing environments
  • Schedule optimization for construction: comparison of resource leveling techniques
  • Integrated project scheduling and worker assignment with cost and labor considerations for a semiconductor manufacturing construction problem

Pagination

xi, 101 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2020 Patrick Dwyer, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11872

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