Session: 13C, Thursday, 28 January 2010, 0800-1000
Moderator: Natesan Jambulingam, Ph.D., NASA Safety Center
In this session, a variety of optimization and control strategies are presented that are applicable for modeling and analysis of repairable systems. Heuristic optimization techniques are disused as well as techniques for measuring performance.
Papers:
13C1 [0011] DEVELOPING EFFECTIVE SPARE PARTS ESTIMATIONS RESULTS IN IMPROVED SYSTEM AVAILABILITY by Behzad Ghodrati, Dragan Banjevic, Ph.D., Andrew K. S. Jardine, University of Toronto
In the present competitive manufacturing industries reducing the total production cost is a big challenge. In this regard, the maintenance plays an important role. Spare parts availability as an issue of maintenance process could guarantee the minimum downtime while maintenance operations are in the process. Optimum number of spare parts that should be stocked can be estimated based on system/machine reliability characteristics and actual working situation. This topic has been studied here.
13C2 [0208] SOFT COMPUTING APPROACHES IN RELIABILITY MODELING OF REPAIRABLE SYSTEMSÂ by Marcia F. P. Salgado, Walmir Matos Caminhas, Benjamim R. Menezes, Ph.D., UFMG
This paper reviews soft computing approaches for modeling reliability of repairable systems. Albeit soft computing techniques such as neural networks and fuzzy systems and even stochastic methods have been employed for solving many different engineering complex problems, traditional approaches are still preferred by industry. Unfortunately with the increasing complexity of modern systems such techniques might not be able to capture the changes in systems features in a precise way.
13C3 [0093] RELIABILITY ANALYSIS – A TOOL SET FOR IMPROVING BUSINESS PROCESSES
by Aron Brall, ManTech SRS Technologies
A presentation of reliability analysis tools applied to business processes to reduce errors and improve a business bottom line.
13C4 [0202] TRANSENDING PERFORMABILITY TO ACHIEVE CONSISTENT SYSTEM ANALYSES
by Meng-Lai Yin, Ph.D., ECE, Cal Poly Pomona
For complex systems where different perspectives need to be addressed, maintaining consistency among various system analyses is a challenge. A framework that supports a “global view” to govern various analyses is critical for the integrity of system analyses. This paper demonstrates a way of transcending the traditional performability to provide a framework to achieve consistent system analyses. This mechanism has been applied in several real-life systems.
Optimization and Control of Repairable Systems
Session: 13C, Thursday, 28 January 2010, 0800-1000
Moderator: Natesan Jambulingam, Ph.D., NASA Safety Center
In this session, a variety of optimization and control strategies are presented that are applicable for modeling and analysis of repairable systems. Heuristic optimization techniques are disused as well as techniques for measuring performance.
Papers:
13C1 [0011] DEVELOPING EFFECTIVE SPARE PARTS ESTIMATIONS RESULTS IN IMPROVED SYSTEM AVAILABILITY by Behzad Ghodrati, Dragan Banjevic, Ph.D., Andrew K. S. Jardine, University of Toronto
In the present competitive manufacturing industries reducing the total production cost is a big challenge. In this regard, the maintenance plays an important role. Spare parts availability as an issue of maintenance process could guarantee the minimum downtime while maintenance operations are in the process. Optimum number of spare parts that should be stocked can be estimated based on system/machine reliability characteristics and actual working situation. This topic has been studied here.
13C2 [0208] SOFT COMPUTING APPROACHES IN RELIABILITY MODELING OF REPAIRABLE SYSTEMSÂ by Marcia F. P. Salgado, Walmir Matos Caminhas, Benjamim R. Menezes, Ph.D., UFMG
This paper reviews soft computing approaches for modeling reliability of repairable systems. Albeit soft computing techniques such as neural networks and fuzzy systems and even stochastic methods have been employed for solving many different engineering complex problems, traditional approaches are still preferred by industry. Unfortunately with the increasing complexity of modern systems such techniques might not be able to capture the changes in systems features in a precise way.
13C3 [0093] RELIABILITY ANALYSIS – A TOOL SET FOR IMPROVING BUSINESS PROCESSES
by Aron Brall, ManTech SRS Technologies
A presentation of reliability analysis tools applied to business processes to reduce errors and improve a business bottom line.
13C4 [0202] TRANSENDING PERFORMABILITY TO ACHIEVE CONSISTENT SYSTEM ANALYSES
by Meng-Lai Yin, Ph.D., ECE, Cal Poly Pomona
For complex systems where different perspectives need to be addressed, maintaining consistency among various system analyses is a challenge. A framework that supports a “global view” to govern various analyses is critical for the integrity of system analyses. This paper demonstrates a way of transcending the traditional performability to provide a framework to achieve consistent system analyses. This mechanism has been applied in several real-life systems.