ERA

Download the full-sized PDF of PROACTIVE LAYDOWN YARD MANAGEMENT USING GENETIC ALGORITHM FULLY-INTEGRATED WITH SIMULATIONDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R37M3C

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

PROACTIVE LAYDOWN YARD MANAGEMENT USING GENETIC ALGORITHM FULLY-INTEGRATED WITH SIMULATION Open Access

Descriptions

Other title
Subject/Keyword
Material handling
Simulation
Optimization
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Alanjari, Pejman
Supervisor and department
AbouRizk, Simaan (Department of Civil and Environmental Engineering)
Examining committee member and department
Yasser Mohamed (Department of Civil and Environmental Engineering)
Yaman Boluk (Department of Civil and Environmental Engineering)
Department
Department of Civil and Environmental Engineering
Specialization
Construction Engineering and Management
Date accepted
2013-05-07T13:33:43Z
Graduation date
2013-11
Degree
Master of Science
Degree level
Master's
Abstract
Laydown yard management is comprised of planning and controlling of all necessary efforts to ensure that the correct quantity of materials are available where and when they are needed on construction storage yards. Applying the right material management methodology in construction projects would result in real savings, improved labor productivity and reduced surplus. An integrated framework which performs dynamic layout optimization of materials arriving at construction yards is presented in this research. Process improvement in the field of material handling is achieved in this study by evaluating two policies in yard laydown management, namely, proactive and reactive material placement policies. Analytical optimization methods are implemented to compare and contrast such placement policies through case studies from the steel fabrication industry where tight consumption schedule, frequent change orders and revisions and late design drawings provide a sensitive environment in which an effective materials handling method could be of great significance.
Language
English
DOI
doi:10.7939/R37M3C
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2014-05-01T01:06:32.978+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 4658476
Last modified: 2015:10:12 13:25:55-06:00
Filename: Alanjari_Pejman_Fall 2013.pdf
Original checksum: 6d6482f4b023ef70d8a126c7aa174b94
Well formed: false
Valid: false
Status message: Invalid page tree node offset=3490924
Status message: Unexpected error in findFonts java.lang.ClassCastException: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject cannot be cast to edu.harvard.hul.ois.jhove.module.pdf.PdfDictionary offset=4648246
Page count: 100
Activity of users you follow
User Activity Date