Constructing the FCM model of the agile NPD process with a genetic algorithm: the case of Iranian companies
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.
Year of publication: |
2009
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Authors: | Fekri, R. ; Alizadeh, S. |
Published in: |
International Journal of Data Analysis Techniques and Strategies. - Inderscience Enterprises Ltd, ISSN 1755-8050. - Vol. 1.2009, 4, p. 332-354
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Publisher: |
Inderscience Enterprises Ltd |
Subject: | agile NPD | new product development | fuzzy cognitive maps | FCM | learning | genetic algorithms | GAs | distance based algorithm | agility | cause-and-effect relationships | Iran | project management |
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