Process-Oriented Development of Failure Reporting, Analysis, and Corrective Action System

Although failure reporting, analysis, and corrective action system (FRACAS) has two management perspectives, its tasks and related information, the previous researches and applications mainly have focused on the data management. This study is to develop a process-oriented FRACAS which supports the operation of the failure-related activities. The development procedures are (1) to define the reporting and analysis tasks, (2) to define the information to be used at each task, and (3) to design a computerized business process model and set the attributes such as durations, rules, and document types. This computerized FRACAS process can be activated in a business process management system (BPMS) which employs the enactment functions, deliver tasks to the proper workers, provide the necessary information, and alarm the abnormal status of the tasks (delay, incorrect delivery, cancellation). Through implementing the prototype system, improvements are found for automation of the tasks, prevention of disoperation, and real-time activity monitoring.

[1]  A. Mettas,et al.  Intellectual capital: utilizing the Web for knowledge management and data utilization in reliability engineering , 2002, Annual Reliability and Maintainability Symposium. 2002 Proceedings (Cat. No.02CH37318).

[2]  T. Schick,et al.  Best practices for a FRACAS implementation , 2004, Annual Symposium Reliability and Maintainability, 2004 - RAMS.

[3]  M. Villacourt Failure Reporting, Analysis And Corrective Action System In The US Semiconductor Manufacturing Equipment Industry: A Continuous Improvement Process , 1992, Thirteenth IEEE/CHMT International Electronics Manufacturing Technology Symposium.

[4]  Aarnout Brombacher,et al.  The use of reliability-oriented field feedback information for product design improvement: a case study , 2009, Qual. Reliab. Eng. Int..

[5]  Jing Ling,et al.  Reliability Engineering Practice in the Light Duty Dodge Ram Truck Chassis Program , 2005 .

[6]  Shahram Sarkani,et al.  Application of modern reliability database techniques to military system data , 2008, Reliab. Eng. Syst. Saf..

[7]  C. Intel Military handbook , 1987 .

[8]  Jørgen Møltoft Reliability engineering based on field information—The way ahead , 1994 .

[9]  A. Mukherjee Integrated FRACAS systems for F117 infrared acquisition designation system (IRADS) support yield higher MTBMA , 2005, Annual Reliability and Maintainability Symposium, 2005. Proceedings..

[10]  L.H. Crow Studies and methods for improving the effectiveness of reliability tasks , 2005, Annual Reliability and Maintainability Symposium, 2005. Proceedings..

[11]  K.M. Whaling,et al.  Driving the feedback loop reliability and safety in the full life cycle , 2004, Annual Symposium Reliability and Maintainability, 2004 - RAMS.

[12]  Asaf Katz,et al.  The efficacy of a test and ESS program , 2002 .

[13]  J. Jauw,et al.  Field data is reliability information: implementing an automated data acquisition and analysis system , 2000, Annual Reliability and Maintainability Symposium. 2000 Proceedings. International Symposium on Product Quality and Integrity (Cat. No.00CH37055).

[14]  Jeffrey Alun Jones,et al.  Use of a field failure database for improvement of product reliability , 1997 .

[15]  M. Ciemian,et al.  Increasing the effectiveness of FRACAS , 2008, 2008 Annual Reliability and Maintainability Symposium.

[16]  Ji-Yong Oh,et al.  Development of web-based reliability data analysis algorithm model and its application , 2010 .

[17]  S. Rahman Reliability Engineering and System Safety , 2011 .

[18]  Robert Kovacs,et al.  Failure analysis results systematization , 2009, 2009 32nd International Spring Seminar on Electronics Technology.

[19]  Jan S. Krouwer Using a learning curve approach to reduce laboratory errors , 2002 .