Show simple item record

dc.contributor.advisorChairperson, Graduate Committee: Durward K. Sobek IIen
dc.contributor.authorCosta, Ramonen
dc.date.accessioned2013-06-25T18:39:26Z
dc.date.available2013-06-25T18:39:26Z
dc.date.issued2004en
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/1113en
dc.description.abstractIteration in design has different meanings, ranging from simple task repetition to heuristic reasoning processes. Determining productive iterations is important to improve the design process on cost, time, and quality, but currently there is no categorization of iterations conducive to this goal. After exploring the possible causes and attempts to address them, I propose to classify iterations as rework, design, or behavioral. The framework suggests that design teams, to improve productivity, should try to eliminate rework by increasing the resolution of design information (design iterations) without skipping design levels and by developing alternative solutions (behavioral iterations) in parallel before selecting one. Analysis of journal data from twelve student projects helps identify design processes that achieve higher quality in less time. Factor analysis groups common variability into factors. A multivariate linear regression model of three factors explains 91% of productivity variance within the study sample. Factor scoring coefficients are then used to translate the regression model coefficients back to activities and design levels. Results indicate that generating ideas and defining the problem at a system level are the key discriminating variables between more or less productive design teams in the sample, which supports the recommendation of increasing the resolution of design information without skipping intermediate levels. If we consider selecting an alternative for the final solution as the main design decision students make in the sample projects, then work on non-selected alternatives before selecting the final design can be used as a proxy for effort allocated to behavioral iterations. A linear model using work on non-selected alternatives shows that generating ideas at a system level relates to higher productivity while refining design details and evaluating existing design configurations associate with lower productivity. Then behavioral iteration relates to higher productivity only if alternatives are developed to the system level by generating ideas on how to address interface and configuration issues. The framework presented in this thesis helps differentiate between productive and less productive iteration patterns and provides guidelines to prevent rework by allocating more effort in productive iteration, namely behavioral and design iteration.en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.subject.lcshEngineeringen
dc.subject.lcshDesignen
dc.subject.lcshEducationen
dc.titleProductive iteration in student engineering design projectsen
dc.typeThesisen
dc.rights.holderCopyright 2004 by Ramon Costaen
thesis.catalog.ckey1147045en
thesis.degree.committeemembersMembers, Graduate Committee: Paul L. Schillings; Shi-Jie (Gary) Chenen
thesis.degree.departmentIndustrial Engineering.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage111en


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


MSU uses DSpace software, copyright © 2002-2017  Duraspace. For library collections that are not accessible, we are committed to providing reasonable accommodations and timely access to users with disabilities. For assistance, please submit an accessibility request for library material.