Constructing the FCM model of the agile NPD process with a genetic algorithm: the case of Iranian companies

R. Fekri and S. Alizadeh

International Journal of Data Analysis Techniques and Strategies, 2009, vol. 1, issue 4, 332-354

Abstract: The agile New Product Development (NPD) process is a complex and integrated process wherein all of its main factors have cause-and-effect relationships. A Fuzzy Cognitive Map (FCM) can be successfully applied to show the cause-and-effect relationships between the essential components in this kind of system and help managers extract a good view of this process and improve their decision quality. In this paper, an FCM model constructed with a Genetic Algorithm (GA) is proposed based on the interviews of NPD project managers in Iranian companies. The efficiency of the proposed model is compared with the FCM model constructed with a distance-based algorithm. The results shows that using a GA to construct the FCM model of the agile NPD process in Iranian companies is the better model compared to using a distance-based algorithm to construct the FCM model of this kind of process.

Keywords: agile NPD; new product development; fuzzy cognitive maps; FCM; learning; genetic algorithms; GAs; distance based algorithm; agility; cause-and-effect relationships; Iran; project management. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=27511 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:injdan:v:1:y:2009:i:4:p:332-354

Access Statistics for this article

More articles in International Journal of Data Analysis Techniques and Strategies from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().