An effective tool for supply chain decision support during new product development process
Loading...
URL
Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu |
Doctoral thesis (article-based)
Checking the digitized thesis and permission for publishing
Instructions for the author
Instructions for the author
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Authors
Date
Major/Subject
Mcode
Degree programme
Language
en
Pages
Verkkokirja (1552 KB, 100 s.)
Series
Aalto University publication series DOCTORAL DISSERTATIONS ,
73/2011
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.Description
Supervising professor
Eloranta, Eero, Prof.Thesis advisor
Eloranta, Eero, Prof.Other note
Parts
- [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.
- [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.
- [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.
- [Publication 4]: Teemu Tynjälä. Validation in supply chain decision support systems. International Journal of Information Systems and Supply Chain Management. Accepted for publication.