Reliability Optimization Through Robust Assessment And Growth Techniques (Session 2D) $150.00
Reliability of systems needs to be optimized through proven assessment and growth techniques during the development phase of all projects. This session will assist in formulating such techniques through successful case studies and newly developed methodologies for complex systems.

Moderator
Edward J. Zampino, NASA Glenn Research Center

A Comparison the Robustness Reliability Growth Assessment Techniques (Paper 2D1)
Martin Wayne and Paul M. Ellner, Ph.D., US Army Materiel Systems Analysis Activity
This paper exams the accuracy and robustness of several widely used reliability growth assessment techniques under a number of realistic corrective action processes, to include a newly developed technique that was formulated to address cases where the accuracy of the existing methodologies is degraded. These include various corrective action processes along with cases where the number of failure modes in the system is not large compared to the number of failure modes surfaced during testing.
Optimization MultiState Element Replacement Policy MultiState System (Paper 2D2)
Yu Liu and Hong-Zhong Huang, Ph.D., Univ. of Electronic Sci. & Tech. of China
Multi-state systems (MSS), which can perform their intended tasks with various distinguished levels of efficiency, widely exist in industrial engineering and have received a growing attention in recently years. In this paper, we generalize a multi-state element replacement optimization problem to multi-state systems.
New Army and DoD Reliability Scorecard (Paper 2D3)
Marguerite Shepler and Nancy Welliver, USAMSAA
In December 2007, the Army Acquisition Executive approved the new Army Reliability Policy. The policy was developed to cost-effectively increase the reliability of Army systems. One of the policy’s key elements is an early review of reliability and testing efforts to determine if a program is on the right path for achieving the reliability requirements. The Army Materiel Systems Analysis Activity (AMSAA) and the Army Evaluation Center (AEC) developed a new Reliability Scorecard.
Spare Part Inventory Control Driven by Condition Based Maintenance (Paper 2D4)
Haitao Liao, Ph.D., Wichita State University, and Mitchell Rausch, Cessna Aircraft Company
The availability of spare parts often becomes the bottleneck of process throughput, and sometimes expensive emergency orders of spare parts have to be placed to meet a production due date. This paper addresses a joint production and spare part inventory control strategy driven by condition based maintenance (CBM) for a piece of manufacturing equipment with a critical unit.