Show simple item record

dc.contributor.advisorWarren P. Seering and Eric Rebentisch.en_US
dc.contributor.authorGupta, Nisheethen_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2010-10-12T18:51:32Z
dc.date.available2010-10-12T18:51:32Z
dc.date.copyright2010en_US
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/59236
dc.descriptionThesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2010.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.abstractProduct Development consists of activities to transforms a market opportunity and technological innovation into successful products. Several waves of improvements in technological innovation and product development have already substantially enhanced companies' ability to deliver differentiated products to markets faster, more efficiently, and with higher quality. However, the degree of success achieved has varied greatly between companies and even among units within individual companies. Determining important processes in the product development and their relationships with organizational and project performance are crucial to sustainable success in product development. Studying these relationships would give us insights into the product development dynamics. The objectives of this research are to determine important product development processes and their relationship with each other and organizational capabilities. To achieve the objectives of this research, a step-based approach was adopted. First, understand relationship between processes and firm's actual financials such as Sales, R&D Expenditure, and COGS. Second, identify relationship between processes and self-reported performance on Financials, Operational Effectiveness, Product Performance, and Customer Satisfaction. Third, identify relationship among different performance parameters to unearth indirect impact of processes on performance. In each step, processes were studied at three levels. Processes were combined based on our classification and the way they statistically cluster. Research used Linear Regression Analysis, ANOVA Analysis, Principal Component Analysis, and Cluster Analysis. Fourth, test four hypotheses based on statistics. The work in this thesis illustrates how various product development practices may influence performance measures of organization. While we focused on companies in the Automotive, Hi-Tech and Medical-device industries, I believe that product makers of all stripes could benefit from this work.en_US
dc.description.statementofresponsibilityby Nisheeth Gupta.en_US
dc.format.extent120 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleProduct development practices that matteren_US
dc.title.alternativeIdentifying supply chain strageties of firms with best supply chain performanceen_US
dc.typeThesisen_US
dc.description.degreeS.M.in System Design and Managementen_US
dc.contributor.departmentSystem Design and Management Program.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc666483902en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record