An effective tool for supply chain decision support during new product development process

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Eloranta, Eero, Prof.
dc.contributor.author Tynjälä, Teemu
dc.date.accessioned 2012-08-31T07:39:12Z
dc.date.available 2012-08-31T07:39:12Z
dc.date.issued 2011
dc.identifier.isbn 978-952-60-4255-8 (PDF)
dc.identifier.isbn 978-952-60-4254-1 (printed)
dc.identifier.issn 1799-4942
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/5012
dc.description.abstract The global marketplace has transformed supply chain design into a discipline which requires business sense supported by mathematical expertise. Several methods have been introduced to support supply chain design, most notably mixed integer programming. The current methods are tailor-made for situations where a product's bill-of-material is fixed. However, this assumption does not hold during product development where several competing product designs exist. Therefore this research investigates the question of what is an effective way to support supply chain decisions during new product development. The study is divided into four research questions, corresponding to the articles from which the dissertation is compiled: (1) Does a product structure-driven method exist for modeling and analyzing supply chains? (2) If such a method is discovered, what is its mathematical formulation? (3) Is there evidence to support the theoretical and practical usability of such a method? (4) How can strategic supply chain decisions be validated? Regarding question (1) the research finds that there is a shortage of methods that fulfill supply chain modeling and analysis requirements imposed by new product development process. During the research a Petri-net based method was constructed which satisfies these requirements. For question (2), the formal definitions of the constructed Petri net class are provided. Regarding question (3), the research finds that the created method and associated tool are useful aids when solving the question of the effect of demand variation and the number of product variants on the optimal supply chain. Furthermore, interviews with end users of the tool implementation provide evidence of the Petri net method's practical usefulness. Regarding question (4), the research finds that the validation of strategic supply chain decisions from companies' reporting systems is important, but it has not become a common practice due to the challenges in integrating various IT systems. en
dc.format.extent Verkkokirja (1552 KB, 100 s.)
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Aalto University en
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS , 73/2011 en
dc.relation.haspart [Publication 1]: Teemu Tynjälä. 2005. A formal, product structure driven design of optimized end-to-end demand supply chains. Journal of Systemics, Cybernetics and Informatics, volume 3, number 1, pages 7-11. en
dc.relation.haspart [Publication 2]: Teemu Tynjälä. 2009. Supporting demand supply network optimization with Petri nets. In: Vijayan Sugumaran (editor). Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications. Hershey, PA, USA: IGI Global. Chapter XIX. Pages 366-383. ISBN 978-1-60566-144-5. en
dc.relation.haspart [Publication 3]: T. Tynjälä and E. Eloranta. 2007. Investigating the effect of product variants, and demand distributions on the optimal demand supply network setup. Production Planning & Control, volume 18, number 7, pages 561-572. en
dc.relation.haspart [Publication 4]: Teemu Tynjälä. Validation in supply chain decision support systems. International Journal of Information Systems and Supply Chain Management. Accepted for publication. en
dc.subject.other Industrial engineering
dc.subject.other Management
dc.title An effective tool for supply chain decision support during new product development process en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Perustieteiden korkeakoulu fi
dc.contributor.department Tuotantotalouden laitos fi
dc.contributor.department Department of Industrial Engineering and Management en
dc.subject.keyword supply chain management en
dc.subject.keyword decision support systems en
dc.subject.keyword Petri nets en
dc.identifier.urn URN:ISBN:978-952-60-4255-8
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en
dc.contributor.supervisor Eloranta, Eero, Prof.


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search archive


Advanced Search

article-iconSubmit a publication

Browse

My Account