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| Spares Management and Modeling |
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![]() Spares Management and Modeling
presented by Dr. Craig Sherbrooke Dr. Sherbrooke is the world's foremost authority on spares stockage modeling. His work at the RAND Corporation led to the first widely accepted method for spares computation called METRIC. METRIC, or one of its decendants such as the Aircraft Availability Model (AAM), is used worldwide and by all U. S. military services.
About the Seminar
Better analytic methods are available for spares than for any other area of logistics. Moreover, spares are virtually the only logistics resource that can be adjusted once a system has been deployed. The methods described in this course have been validated in field tests where the same effectiveness has been achieved with inventory cost reductions of 50% or more. In some applications, such as the Space Station, it is critical that life support systems have high availabilities. A good spares model is essential for minimizing costs with an optimal spares mix and for making sure the target availability is met.
The purpose of this course is to give the logistics analyst a complete understanding of the state-of- the-art in spares modeling. The first two days are primarily aimed at managers and model strengths and weaknesses, then the basic model is extended to multi-echelon and multi-indenture. Since demand (or MTBF) is the most critical input the models, several demand prediction studies are described as are methods for handling demand rates that vary over time. Powerful new techniques for modeling redundancy at both the system and item level for the Space Station are derived. Special topics include modeling of cannibalization, lateral supply, and multiple constraints.
Some of the material is so recent that it has never been presented before. After this course, the logistician will appreciate the advantages of the system approach to the management of any complex system. Dr. Sherbrooke wrote the definitive book, Optimal Inventory Modeling of Systems. The freshly printed second edition, with significantly expanded coverage, will be distributed to the class.
Course Outline
Day 1: The System Approach to Spares Management
Why the traditional Item Approach fails
Advantages of System Approach
Experience with Optimal Spares Models
Single Site Model
Day 2: Model Enhancements and Statistical Issues
METRIC model - Multi-echelon stockage
Poisson Demand Process
Negative binomial distribution
Negative binomial distribution
Demand Prediction Experiments
Controlled Experiments
Day 3: Management and Modeling Issues
VMetric® Demonstration - Multi-echelon and Multi-indenture Stockage
Modeling Issues
Implementation Issues
Dynamic Models
About Dr. Craig C. Sherbrooke
In 1966 at the RAND Corporation, Dr. Sherbrooke developed METRIC, the first multi-echelon model for the optimization of repairable spare parts. That model has been implemented worldwide and the theory has served as the basis for a generation of newer models. The latest in that series is V-METRIC, a more accurate multi-echelon, multi-indenture model that includes consumable items and commonality which he has implemented onto microcomputers. Dr. Sherbrooke has developed an optimization model for the NASA Space Shuttle, including redundancy at both the system and item levels. He has published widely on a variety of logistics subjects, and taught many courses as adjunt professor at the Graduate School of Operations Research at George Washington University. For the past 10 years he has worked with TFD Group on the development and enhancement of VMetric. He also lectures and consults in association with TFD Group.
Contact us at seminars@tfdg.com or 831-649-3800 to schedule this seminar on-site at your location!
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