new product development using customer inferences based on bayesian statistical method
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Product Development Decision Support System Customer-Based
Quality Function Deployment (QFD) has been traditionally used as a planning tool primarily for product development and quality improvement. In this context, many people have used QFD for making decisions on how to prioritize critical product areas from a customer perspective. However, it is the position of the author that the QFD process can be viewed as a decision support system that would enc...
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Data Envelopment Analysis (DEA) is a widely used non-parametric method for ranking by Decision-Making Units (DMU). Despite the fact that DEA method does not require numerous preconditions, the necessity of the DMUs to be homogeneous is one of the most important rules in applying this technique. Moreover, in real world problems, due to the nature of DMUs, the need for ranking the grouped data ha...
متن کاملA New Consideration on New Product Development Models
In order to achieve a successful new product, and certainly the successful implementation of a new product into a company, it is necessary to have a structured and documented approach to New Product Development (NPD), therefore providing a clear roadmap for the development of new products.New product development is a multi-stage process. Many different models with a varying number of stages hav...
متن کاملon some bayesian statistical models in actuarial science with emphasis on claim count
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15 صفحه اولAffordance-Based Product Evolution Using Customer Feedback
Overview: Designers can benefit from involving the user in the product development process. Understanding how users perceive products can help designers make decisions that better accommodate user needs. The integration of ABD and genetic algorithms (GAs) is proposed as a way to capture the perceptions from users in the form of affordance quality evaluations. This research investigates how thos...
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عنوان ژورنال:
پژوهشنامه بازرگانیجلد ۱۶، شماره ۶۳، صفحات ۱۰۵-۱۳۵
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