Evaluating weapon systems using fuzzy arithmetic operations
Fuzzy Sets and Systems
Organizational Learning: Creating, Retaining, and Transferring Knowledge
Organizational Learning: Creating, Retaining, and Transferring Knowledge
A GP-AHP Method for solving group decision-making fuzzy AHP Problems
Computers and Operations Research
Dynamic Portfolio Selection of NPD Programs Using Marginal Returns
Management Science
A new fuzzy approach to improve fashion product development
Computers in Industry
Managing stakeholder requirements in a product modelling system
Computers in Industry
Towards unified modelling of product life-cycles
Computers in Industry
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A RFID-case-based sample management system for fashion product development
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
A reference framework following a proactive approach for Product Lifecycle Management
Computers in Industry
Review: Supply chain knowledge management: A literature review
Expert Systems with Applications: An International Journal
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When managing the problem of new product development (NPD), a firm needs to cooperate with or compete with its strategic partners in a network to survive in the industry. This paper first discusses the critical success factors (CSF) of NPD in a network, and then simplifies 37 CSFs into 10 items within 3 groups by factor analysis and Delphi method. While analytic hierarchy process (AHP) is capable of dealing with the NPD managerial problems by generalizing subjective judgment of experts, it cannot deal with the inter-relationship among factors or the usually imprecise and vague human judgment. To compensate this deficiency, analytic network process (ANP) incorporated with sensitivity analysis, instead of the popular fuzzy AHP model, is proposed, and a firm can make a decisive evaluation by applying the model. However, developing new products with strategic partners in a network is positively associated with efficiency and effectiveness and negatively with innovation. In order to lead a firm to operate efficiently, effectively and innovatively, the product lifecycle management (PLM) including suitable knowledge management (KM) and process development management is advised for the execution of the selected NPD mix. Balanced scorecard (BSC) using ANP with sensitivity analysis is then suggested to demonstrate the effectiveness of the proposed procedure and models.