Abstract: A computerized method of evaluating a questionnaire comprising a set of questions of a category, wherein the method comprises the step of requesting a response for each question of the set of questions from an auditee, wherein each response is given in form of a quantitative value. The method further comprises the steps of determining an auditee specific statistics value from each quantitative value of each response given by the auditee and of requesting a response for each question of the set of questions from at least one auditor, wherein each response is given by the at least one auditor in form of the quantitative value, and wherein to each auditor an auditor weight factor is assigned which is specific for the auditor and for the category. For each auditor an auditor specific statistics value is determined from each quantitative value of each response given by the auditor.

Abstract: A system handling fully automated supplier quality control and enabling quality improvement by using supplier raw data as well as manufacturer manufacturing in-line data is described. The system not only maintains fully automated data transfers and handling, but also enables immediate automated reporting for both the manufacturer and the supplier. Based on this automated notification, communication between sides is thus introduced. The system also enables the transfer from reactive into preventive working mode, concerning supplier quality, giving advantages like early warning, fast feedback. Beyond the so-called automated quality control features, the system supports quality improvement enabling advanced analysis features like yield prediction, specification validation, best of breed analysis, and the like. These capabilities include a close feedback control loop with an adaptation feature to correct the prediction in case of a deviation and/or trend.