DocumentCode
2548165
Title
Product family design and logistics decision support system
Author
Helo, Petri ; Xu, Qianli ; Kristianto ; Jiao, Roger Jianxin
Author_Institution
Logistics Syst. Res. Group, Univ. of Vaasa, Vaasa, Finland
fYear
2009
fDate
21-23 Oct. 2009
Firstpage
551
Lastpage
555
Abstract
The purpose of the paper is to present Product Variety Analysis (PVA) approach to coordinated and synchronized flows of information about products and production processes among various supply chain members. The cost based PVA is developed by presenting cost modeling according to three factors in the cost model, namely part cost, development cost, and production cost. The results show that cost based PVA enables a product designer for producing higher commonality product family to reducing total costs per component. Developing commonality metric by including component price should be carried out in the future in considering component support to product family profitability. In terms of managerial implication, coordination between the manufacturing process and product development department facilitate supply chain design. Cost based PVA shows the novelty of this paper.
Keywords
costing; decision support systems; logistics; product design; profitability; commonality metric; component price; coordinated flows; cost modeling; development cost; logistics decision support system; part cost; product family design; product family profitability; product variety analysis; production cost; synchronized flows; Costs; Decision support systems; Information analysis; Logistics; Manufacturing processes; Product design; Production; Profitability; Supply chain management; Supply chains; Analysis; Commonality Metric; Product Design; Product Family; Product Portfolio; Product Variety;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3671-2
Electronic_ISBN
978-1-4244-3672-9
Type
conf
DOI
10.1109/ICIEEM.2009.5344371
Filename
5344371
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