Reliability Growth Planning Its Concept, Applications, and Challenges

Tongdan Jin
Tongdan Jin is an Assistant Professor of Industrial Engineering at Texas State University. Prior to the academia, he held a reliability engineer position for five years at Teradyne Inc. He obtained the Ph.D. in Industrial & Systems Engineering from Rutgers University. His research interests include system reliability modeling and optimization, design for reliability in Six Sigma, and system ma...read more



Details

Reliability growth planning (RGP) is emerging as a promising technique to address the reliability challenges arising from the distributed manufacturing environment. Unlike RGT (reliability growth testing), RGP drives the reliability growth of new products by spanning the product's lifecycle from design, prototyping, manufacturing, to field use. It is a lifetime commitment to the product reliability via systematic failure analysis, rigorous corrective actions, and cost-effective financial investment. RGP has shown to be very effective, particularly in new product introductions under the fast time-to-market requirement.The RGP process will be introduced based on the three-phase product lifecycle: 1) design for reliability during early product development; 2) accelerated lifetime testing and corrective actions in pilot line stage; and 3) continuous reliability improvement following the volume shipment. Trade-offs among reliability investment, warranty cost reduction, and customer satisfactions will be investigated from the perspective of the manufacturer and the customer. Reliability growth tools such as Crow/AMSAA, Pareto graphs, failure mode run chart, FIT (failure-in-time), and FMECA will be reviewed and their roles in the GRP process will be discussed and demonstrated. Case studies drawn from electronics equipment industry will be used to demonstrate the RGP applications and justify its benefits as well.In parallel with the RGP, efforts have been devoted to developing optimal preventative maintenance programs, either time-based or usage-based strategies. Recently, CBM (condition based maintenance) is showing a great potential to achieve just-in-time maintenance or zero-downtime equipment. RGP and maintenance strategies share a common objective, i.e. achieving high system reliability and availability. In this presentation, optimal maintenance policies will be devised in the context of system reliability growth.

- Login to view the video -



Slideshow



Interested in Membership?

Take charge of your career and education. Join us today and get access to a wealth of webinars covering cutting edge topics important in reliability engineering today!

Find out more
Webinar Categories
Previous Webinars
  • Network reliability allocation method based on heuristic algorithm (基于启发式算法的网络可靠性分配方法)
    October 11, 2015
    View Webinar
  • LA UTILIDAD DIVERSA DE FMEA, Fundamentos
    November 3, 2014
    View Webinar
Networking

Provide a global forum for networking among practitioners of reliability engineering, management and related topics,

Growth

Facilitate growth and development of division members,

Provide Resources

Promote reliability engineering principles and serve as a technical resource on reliability engineering for ASQ, standards agencies, industry, government, academia and related disciplines

Training

Sponsor, present and promote reliability, maintainability, and related training materials for courses, symposia, and conferences.

47