ABSTRACT
After a presentation of predicted reliability estimation applied on main frame computer system developed and manufactured at Bull S.A., this paper describes the tracking of field results, the comparison between operational and predicted reliability and the method of adjustment in modeling. The product on which this approach is applied is the Bull DPS 7000, a mainframe computer system, and its components.
After explaining quickly the general feedback method used to determine predicted reliability, the method of reliability prediction is described; for components it is based on realistic, simple and dynamic modeling; for products it takes into account reliability growth approach and for systems both system availability and intrinsic reliability are integrated. Then the method used for tracking field data, data collection, data analysis, data computation is described. Finally, these operational results are compared with predicted estimates and permit to make the improvements for manufacturing, design and suppliers, and to dynamically adjust modeling.
