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Nelson P. Repenning. Dogan, Gokhan Sloan School of Management. Sloan School of Management 2010-08-31T16:17:17Z 2010-08-31T16:17:17Z 2009 2009 http://hdl.handle.net/1721.1/57871 624350627 Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 2009. Cataloged from PDF version of thesis. Includes bibliographical references. By studying a unique data set from a motor vehicle manufacturer, we find that carryover parts, common parts used in successive generations of multi-generational products, are a major source of quality problems, contrary to conventional wisdom. Moreover, the failure rate of carryover parts grows from one generation to the next, a phenomenon known as the carryover spike. Motivated by these results and the need to understand the quality dynamics of multi-generational products, we empirically analyze the field problem-solving process and the new product introduction spike. We attempt to answer the following questions: what factors influence the time required to solve problems? Furthermore, what factors influence the cancellation probability of problem-solving projects? In addition to these questions related to the field problem-solving process, we seek to understand the factors that influence the new product introduction spike. We also investigate various ways to offset the failures of carryover parts. Using a novel simulation model, we test different policies that aim for better prioritization and analysis of carryover problems. Simulation results show that product reliability can be improved drastically using these policies. Our results indicate that managers should expect to witness higher warranty costs related to carryover parts on new products, due to trends in the industry. by Gokhan Dogan. Ph.D. 111 p. eng Massachusetts Institute of Technology M.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. http://dspace.mit.edu/handle/1721.1/7582 Sloan School of Management. Carryover parts and new product reliability Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="62823b19-4ef1-4240-a3ad-8e2777618ff3"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Carryover parts and new product reliability</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2009</PublicationDate> <Authors> <Author> <DisplayName>Dogan, Gokhan</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Sloan School of Management.</Keyword> <Abstract>By studying a unique data set from a motor vehicle manufacturer, we find that carryover parts, common parts used in successive generations of multi-generational products, are a major source of quality problems, contrary to conventional wisdom. Moreover, the failure rate of carryover parts grows from one generation to the next, a phenomenon known as the carryover spike. Motivated by these results and the need to understand the quality dynamics of multi-generational products, we empirically analyze the field problem-solving process and the new product introduction spike. We attempt to answer the following questions: what factors influence the time required to solve problems? Furthermore, what factors influence the cancellation probability of problem-solving projects? In addition to these questions related to the field problem-solving process, we seek to understand the factors that influence the new product introduction spike. We also investigate various ways to offset the failures of carryover parts. Using a novel simulation model, we test different policies that aim for better prioritization and analysis of carryover problems. Simulation results show that product reliability can be improved drastically using these policies. Our results indicate that managers should expect to witness higher warranty costs related to carryover parts on new products, due to trends in the industry.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>