Time Series Analysis for Quality Improvement: a Soft Computing Approach.

摘要: Quality improvement provides organizations with significant opportunities to reduce costs, increase sales, provide on time deliveries and foster better customer relationships. The design manufacturing are among the critical processes for continuous quality improvement. Time series data collected from these useful source. While there various techniques explore processes, Neural Networks (NN) approach is deemed as a promising alternative. However, NN relatively new in engineering which traditionally dominated by statistical analysis, still much doubt its effectiveness compared modeling. main focus here then construct statistically reliable neural network model an appropriate architecture conduct analysis. purpose of this paper thus two-fold. Firstly we develop interval analysis models guide towards modeling architecture. Secondly, apply developed industries.