Reliability & P-CAM: In-depth Reliability and data analysis

Reliability tools to measure and push P-CAM (Performance-Centered Asset Management) further

The participant goes beyond simple theory, to learn the language of assets, interpret their messages and continually evaluate the strategies put in place for optimal and sustainable performance;
– to understand the link between reliability theory, associated algorithms and the field,
– to adapt theories to their own operational context using the P-CAM process,
– to develop benchmarks to facilitate decision-making for asset management,
– to continuously improve the strategies in place, monitoring the associated results,
– and most importantly; to avoid drowning in trivial details.

This training is for people involved or having an interest in the management of physical assets, operational excellence or maintenance engineering, and looking for a new perspective.

Methodology: Through presentations and analytical exercises, the participant becomes familiar with the concepts of dependability, so that he can use them in a process of continuous improvement.
• Presentations (50%), analysis exercises (50%)

Outcome: The participant makes the data talk to provide an overview to target assets of concern. He acquires the knowledge and tools for analyzing dependability (RAMS) to optimize strategies based on field data driven decisions.

Content: This training session includes;
• 1 enthusiastic and passionate trainer who knows how to popularize to really transmit knowledge, tools, concepts and above all, know-how
• 14 lectures, each followed by a quiz to assess the knowledge learned and stimulate thinking
• 34 analysis exercises, where the participant puts into practice the knowledge acquired to eventually adapt it to his own operational context
• 1 participant manual, including the full presentation, the P-CAM process, exercises, lists of failure modes, causes, remedies, detection methods and associated maintenance activities, definitions and references used
• 34 solutions to the exercises presented, each programmed in an Excel spreadsheet
• 1 graphical method example
• 1 reliability models validation method
• 1 set of graphical papers, including exponential and Weibull papers
• 1 set of statistical tables, including the Chi-square and the Normal law tables
• 1 nominative certificate of participation

Quality assurance: Training review to be completed after the session.

Assessment of the knowledge acquired by the participant: Quiz with a passing score of 80%, following each lecture.

TRAINING OUTLINE / SYLLABUS

Dependability (15%)
• Reliability
• Availability
• Maintainability
• Safety

Reliability (20%)
• Laws of reliability
• Bathtub curve concepts
• Exponential model
• Weibull model
• Parts replacement time

Measuring Reliability (45%)
• Complete data
• Truncated/censored data
• Confidence interval
• Graphic methods
• Models validation

Improve reliability through redundancy (20%)
• Serial systems
• Parallel systems
• Majority systems
• Pending systems
• Mixed systems