芯片固件开发工程数字ic设计工程

Mining customer knowledge for tourism new product development and customer relationship management Original Research Article

Expert Systems with Applications

In recent years tourism has become one of the fastest growing sectors of the world economy and is widely recognized for its contribution to regional and national economic development. Tourism product design and development have become important activities in many areas/countries as a growing source

Customer satisfaction targets for vehicle attributes are set at the corporate level with limited consideration of the engineering feasibility and interactions between different product features. This paper presents a comprehensive framework for target planning for customer satisfaction driven quality improvement efforts in the product development process. The proposed framework facilitates a link between corporate decision making and engineering decision making by integrating best practices and structuring technical activities. Potential vehicle attributes are classified and prioritized for further

improvement using Kano model and quality function deployment. Customer satisfaction targets are established based on rigorous business analysis and trade-off studies. These targets are converted into objective engineering metrics using regression models. Transfer function equations are developed to provide a link between higher-level product characteristics and lower-level design variables. The mathematical models are formulated as optimization problems to cascade down top-level targets to lower-level elements within given constraints. A case example is presented to demonstrate the proposed

4.1. Vehicle-level target cascading model

4.2. System-level target cascading model

4.3. Sub-system-level target cascading model

5. Conclusion

Acknowledgements

References

Acknowledgements

References

Vitae

A new mixed integer linear programming model for product development using quality function deployment Original Research Article

Computers & Industrial Engineering

4.1. Constructing the HOQ

4.2. Optimizing the development problem

5. Conclusion and discussion

Appendix A

References

Vitae

A methodology to generate a belief rule base for customer perception risk analysis in new product development Original Research Article

Expert Systems with Applications

Research highlights

► A novel method to generate belief rule base for risk analysis in new product development is developed. ► A new way to quantify the influence of antecedent attributes on the consequence is proposed. ► Biases and inconsistencies can be reduced by the method during the belief rule base generation process. ► A case regarding customer perception risk analysis is then studied using the method proposed in the