Advertisement
Published in:
2008 | OriginalPaper | Chapter
Compatibility Knowledge in Fuzzy Front End
Authors : Julie Hohenegger, Ahmed Bufardi, Paul Xirouchakis
Published in: Methods and Tools for Effective Knowledge Life-Cycle-Management
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
During the early stages of the new product development, several decisions related to design, manufacturing, supply chain, etc. have to be made. This paper presents a framework for generating compatibility knowledge from data about new product development activities to help companies in making such decisions. This framework comprises two main approaches: an approach for information search and an approach for evaluating compatibility between alternatives. Compatibility knowledge is obtained through the investigation of the compatibility between information from the internal and external environments of the company. A case study illustrating the evaluation of compatibility between alternatives is provided.