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Computer Science and Information Technology Vol. 1(2), pp. 82 - 89
DOI: 10.13189/csit.2013.010202
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A Bayesian Network Decision Support System for Order Management in New Product Development

Hamed Fazlollahtabar^1,*, Mina Ashena^2
1 Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
² Department of Information Technology Engineering, Mazandaran University of Science and Technology, Babol, Iran

ABSTRACT

Recently, the way firms enter to markets is influenced by the customer requirements applying product improvement. Thus, market-driven product design and development is now a favorite research topic in the literature. Order management prediction for a new product help firms to overcome the future uncertainties. Here, we propose a decision support system for customers’ order management in a new product development process. The drawback of complicated decision support problems are the complexities involved in interpreting causal relationships among decision variables. Therefore, Bayesian Network (BN) has shown excellent decision support competence due to its flexible structure allowing itself to extract appropriate and robust causal relationships among target variable and related explanatory variables. We make use of a decision support BN as a prediction aid for order management in a new product development process.

KEYWORDS
New product development (NPD), Bayesian network (BN), Order management

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Hamed Fazlollahtabar , Mina Ashena , "A Bayesian Network Decision Support System for Order Management in New Product Development," Computer Science and Information Technology, Vol. 1, No. 2, pp. 82 - 89, 2013. DOI: 10.13189/csit.2013.010202.

(b). APA Format:
Hamed Fazlollahtabar , Mina Ashena (2013). A Bayesian Network Decision Support System for Order Management in New Product Development. Computer Science and Information Technology, 1(2), 82 - 89. DOI: 10.13189/csit.2013.010202.