Evaluation of Programming Tools for the Development of Data Mining Driven Forecasting Software Tool for Quality Function Deployment

摘要

Quality Function Deployment (QFD) is prominent devising mechanism widely used in product planning phase. It fundamentally converts customer requirements to achieve design endeavours and is enriched with customer satisfaction. However, due to the global competitiveness of marketplace, the requirements are more dynamic. In order to cope up with the dynamics in marketplace, forecasting becomes necessity in QFD. It can be achieved by integrating QFD with time series based data mining techniques of forecasting in order to generate the forecast in QFD for better decision making. As QFD and data mining both involves the complex calculation, thus the development of software tool can be of great help. Development of proposed forecasting software tool can be achieved by opting appropriate programming tool. Evolution of technology breakthrough the terrific explosion in software industry and has accelerated to multiplicity in programming tools. Owing to the availability of pool of programming tools, it becomes crucial to figure out most proficient one among them in viewpoint of proposed software tool. This paper attempts to discover several programming tools, examine them and select the effective one from software perspective by the evaluating these tools comparatively. Recognizing the efficient programming tool for the development of proposed software tool will strongly assist developers to design and implement the system effectively.