الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
 |  | from | 77 |  |  |
| | | from | 77 | | |
Abstract
Today’s fierce competition between organizations driven by the globalization of markets and the practice of many competitors to copy successful products make product development process (PDP) crucial for any organization survival. Adding to that, the rapid advance of technology which can make existing products obsolete forces organizations to continuously adapt the new changes. Organizations strive to develop their products in a way that fulfils customers’ requirements and increases their satisfaction in order to have more sales. Many models and techniques were proposed to solve this problem and researchers are still working in providing more suitable ways to fit the changes in the global market and customer behavior. One of these techniques is the traditional Quality Function Deployment (QFD) which enables converting customer requirements into engineering characteristics to drive product design toward customer needs. Using QFD in PDP leads to lower start-up costs and better customer satisfaction. However, it has some drawbacks. one of them is that it requires much time to be implemented. Another one is that it contains huge matrices that are hard to be drawn. Also, it implicates some imprecise data due to the ambiguousness of customer language. To tackle these drawbacks, a proposed model will be implemented based on Blitz QFD; a modern model of the traditional one which is leaner and requires short time to be implemented by focusing on the most important customer requirements. Blitz QFD emphases on beginning the QFD project by determining the strategic targets of the organization and its core competencies and uses Analytical Hierarchy Process (AHP) in order to prioritize customer segments. This model will be integrated with fuzzy logic in order to reduce the problem caused by the vagueness of customer language and improve the resulted data. Fuzzy logic is a mathematical technique that deal with uncertainty in human reasoning, thus better to capture customer requirements. A case study is implemented on the development of a cargo tricycle in an Egyptian company to confirm the usefulness of the model and to point any shortcoming.This model provides a leaner approach that captures the most critical requirements of customers in order to implement them and provides more reasonable values as a result of using fuzzy logic. The short time needed for this model to be implemented helps with bringing products to market faster. The non-complicated nature of the model makes it useful to be used by wide range of organizations.