Effective Implementation of CSFs in SPC Using Pareto Analysis Approach

Statistical process control (SPC) is an integral part of statistical quality control (SQC) tools. SQC tools are used for finding out the deviations and defects of finished components. Critical success factors (CSFs) provides information regarding decisions in the success of processes, to improve the performance and to maintain the control of processes at top quality levels. Determination of CSFs of SPC implementation mostly were done in empirical approach. From an extensive review of literature of statistical process control implementation, forty three dimensions of statistical process control critical success factors were identified. Statistical analysis of questionnaire responses on the success factors resulted into two distinct sets of critical and useful other factors. This study is motivated to compile and sort the 19 vital CSFs and 24 useful other CSFs from forty three dimensions of statistical process control CSFs by using Pareto analysis approach. This approach shows that top level management involvement and their commitment is most important factor for implementation of SPC at any industry.