Design Project Scheduling with Probabilistic Iterations: Optimization & Investigation of Robustness

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dc.contributor.advisorLi, Simon
dc.contributor.authorEbufegha, Akposeiyifa Joseph
dc.contributor.committeememberTu, Paul
dc.contributor.committeememberXue, Deyi
dc.contributor.committeememberSadeghpour, Farnaz
dc.date2018-11
dc.date.accessioned2018-09-14T18:02:57Z
dc.date.available2018-09-14T18:02:57Z
dc.date.issued2018-09-05
dc.description.abstractThis research focuses on reliable prediction of product development (PD) project duration within reasonable solution times. It is based on the model of PD projects presented by Smith and Eppinger which suggests that PD projects are akin to Markov reward chains. The research was divided into two phases; the development of a hybrid algorithm to minimize the problem’s solve time without compromising solution quality and the identification of features of a robust PD schedule. The first phase of the research shows that the hybrid algorithm yields similar quality solutions whilst reducing solve times by 50% - 97.4%. The second phase highlights four features that affect robust PD schedule as well as patterns observed in the schedule. In conclusion, this research demonstrates the utility of the developed hybrid algorithm and also illustrates the importance of examining expected project duration and the standard deviation in the results when developing robust PD schedules.en_US
dc.identifier.citationEbufegha, A. J. (2018). Design Project Scheduling with Probabilistic Iterations: Optimization & Investigation of Robustness (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/32906en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/32906
dc.identifier.urihttp://hdl.handle.net/1880/107730
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.facultySchulich School of Engineering
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject.classificationEngineering--Industrialen_US
dc.subject.classificationEngineering--Mechanicalen_US
dc.titleDesign Project Scheduling with Probabilistic Iterations: Optimization & Investigation of Robustness
dc.typemaster thesis
thesis.degree.disciplineMechanical and Manufacturing Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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