Abstract: A network-based method and system for analyzing and displaying reliability data from a user is provided. The method includes recording reliability data, obtaining unreliability plots, obtaining Weibull distribution parameters, creating control charts for those parameters over time, and obtaining hypothesis tests to ensure reliability has not changed due to process variation.

Abstract: A quality management system and computer based process for managing quality are disclosed. The quality management system includes a set of networked operator stations for entering data including critical to quality customer information and information relating to the equipment to be monitored on a quality basis. The system further includes an application server on the network for running the programs of the system such as critical to quality setup, report generation, logging to the database, and maintenance events. A database server is further included on the network for storing the local database. A web server holding a capability warehouse connects to the local database over a web connection.

Abstract: A network-based method and system for analyzing and displaying reliability data from a user records reliability data, obtains unreliability plots, obtains Weibull distribut9ion parameters, creates control charts for those parameters over time, and obtains hypothesis tests to ensure reliability has not changed due to process variation.

Abstract: A quality management system and computer based process for managing quality are disclosed. The quality management system includes a set of networked operator stations for entering data including critical to quality customer information and information relating to the equipment to be monitored on a quality basis. The system further includes an application server on the network for running the programs of the system such as critical to quality setup, report generation, logging to the database, and maintenance events. A database server is further included on the network for storing the local database. A web server holding a capability warehouse connects to the local database over a web connection.

Abstract: A method of developing a confidence level in reliability or producibility prediction scores that includes generating data for a set of factors, inserting the data into scorecards and dashboards, and calculating an overall Z score and Z confidence range. The scorecards and dashboards are used to calculate the confidence level in reliability scores. Each reliability or producibility factor may be weighted as to its importance to the overall confidence level. Factors included in the method include accuracy of the critical to quality flowdown; completeness of the critical to quality flowdown; percentage of the design analyzed; comprehensiveness of the design analysis; risk assessment analysis; percentage of component. subassembly or product reuse from other projects; percentage of the design complete; verification of the process capability; plant integration; order to remittance process integration; extent of pilot run; and effectiveness of a test plan.