For an organisation to sustain its competitive advantage, there is a strong need for timely adjustment to ever rapidly changing customer demands. To achieve this goal, known customer needs must be prioritised and transformed into organised down stream design requirements. This paper describes how a spreadsheet framework has been developed which incorporates a modified Quality Function Deployment (QFD) and Systems Engineering Process (SEP) for product development and planning. The application of Analytic Hierarchy Process (AHP) is used as a means of ranking top level user requirements. The methodology provides a pro‐active means and a strong link between quantified user requirements that are prioritised and product design/performance requirements, by assuring that down‐stream design requirements are incorporated into trade‐off decisions. An example is also presented to test and evaluate the spreadsheet approach in heavy engineering projects.
For an organisation to sustain its competitive advantage, there is a strong need for timely adjustment to ever rapidly changing customer demands. To achieve this goal, known customer needs must be prioritised and transformed into organised down stream design requirements. This paper describes how a spreadsheet framework has been developed which incorporates a modified Quality Function Deployment (QFD) and Systems Engineering Process (SEP) for product development and planning. The application of Analytic Hierarchy Process (AHP) is used as a means of ranking top level user requirements. The methodology provides a pro-active means and a strong link between quantified user requirements that are prioritised and product design/performance requirements, by assuring that down-stream design requirements are incorporated into trade-off decisions. An example is also presented to test and evaluate the spreadsheet approach in heavy engineering projects.
Abstract. The central theme to this paper is to provide the research outcome on the application of a software model developed for effective transfer of user requirements into product design features including cost analysis, with built-in scientific decision making support tool. In the extremely competitive global environment, there is a need for integrating cost evaluation and deployment into the design process in a systematic way for up front identification of cost while maintaining a balance of quality and performance requirements. The developed model is Excel® based and tested with actual industry based case studies as applied to Australian manufacturing and industry. The proposed model will establish measures of World Best Practice with minimum complexity to improve product design and project management.
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