Keywords and Phrases
Product convergence opportunities; Activity-product affiliation
"Competition and rapidly changing customer demands are major drivers for a company to pursue new product development (NPD) projects. A vast majority of new products in the consumer electronics market are marked by improvements to contemporary products. It is reported that companies spend billions of dollars on product convergence projects in an effort to combine existing products. In this paper, a systematic methodology to explore new product convergence opportunities is presented. The proposed methodology consists of the following major steps: (1) Create the activity- product affiliation network and then extract the product network in which products are related to each other by virtue of being affiliated to the same activity (2) Explore the product network to determine the aristocrat products (based on the degree of product connectivity) and products that are affiliated to two or more activities (called as bridge products) (3) Scrutinize and retain products that are both aristocrats and bridge products (called critical bridge products) based on their market potential and network stability (4) Investigate convergence opportunities for these critical bridge products using the Analytical Hierarchical Process (AHP) model and local centrality method. The application of the proposed method is demonstrated using an example case that consists of 16 activities and 232 different consumer products"--Abstract, page iv.
Allada, Venkat Allada
Engineering Management and Systems Engineering
M.S. in Engineering Management
University of Missouri--Rolla
ix, 54 pages
Note about bibliography
Includes bibliographical references (page 38).
© 2004 Faisal Anam, All rights reserved.
Thesis - Restricted Access
New products -- Decision-making
New products -- Development
Print OCLC #
Anam, Faisal, "An activity-product affiliation network approach to study product convergence opportunities" (2004). Masters Theses. 2532.
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This work is supported in part by the National Science Foundation grant DMI #9900226.