Development of a Data Mining Driven Forecasting Software Tool for Quality Function Deployment

Recently solicitation of Quality Function Deployment (QFD) has been extensively emerged in the product development market. Customer Requirements (CRs) and Design Requirements (DRs) are the two chief entity of the QFD process. However, variegation of marketplace directly influence CRs and DRs in making them more varying: that prompts the need of forecasting in QFD for gaining enhanced customer satisfaction. It can be attained by using Data Mining techniques of forecasting. As various forecasting techniques arc available. selection of most efficient method is highly desired for evaluating out the most effective result. This paper offers an innovative software tool that precisely forecasts future values in QFD. The tool enables forecasting using several time series analysis techniques of data mining drat sturdily lend a hand in carrying comparative analysis and assessing out the efficient technique. The tool is designed using VB.Net and MS-Access. Lastly, an example is show n to exhibit the workability of proposed forecasting tool.