Dates: 08 Apr 2019 - 12 Apr 2019
Speaker: Stephen Hunt
Venue: NorthamptonBook Now
First Delegate: £1,650 +VAT
Second Delegate and MOD: £1,500 +VAT
Duration: 5 days
This is an in-depth course using a hands-on approach. This course presents a practical review of AR&M by presenting an overview of acquisition phase objectives and their application in the design and development of equipment and systems. Topics covered include: Principles and Objectives; Consideration of underlying failure mechanisms; Engineering Techniques; Allocations and Predictions; System level modelling; Data Collection & Analysis; Verification Testing in a Life Cycle Context. The course closes with a general discussion and the opportunity for delegates to further address any particular issues which may be of interest to them.
The practical and open seminar format of this course allows for maximum information to be presented while allowing for questions, discussions, and in-class examples and exercises to maximize the students overall learning experience.
Pre Course Preparation
A maths and excel refresher sheet which shows the notation that will be used will be sent to all delegates prior to the start of the course.
All delegates are asked to bring a lap-top computer with Excel to perform some of course exercises.
This course does not just show delegates the simplistic solutions which are used everyday to calculate and treat AR&M; it also emphasises the foundations on which all AR&M theory is based i.e. the laws of probability. The role of Reliability Quantification within Systems and Reliability Engineering is discussed and delegates are exposed to the consequent methodologies which can be applied to complex systems in order to maximise their beneficial effect with little ‘pain’ to the analyst. The importance of reliability to system design is a significant element of the course.
AR&M management processes and AR&M engineering activities are discussed to provide detailed knowledge to the delegates. Finally, the issues of contracting successfully for AR&M are discussed from both the Supplier and Purchaser stand points. Major AR&M issues are supported with practical examples and exercises which ensure that the delegate acquires both a robust understanding of AR&M theory and real practice of producing solutions.
Lesson 1: Maths and Stats applications in AR&M
This is short overview of the main statistical concepts applicable to R&M mathematics. It is provided as an additional session of approximately 1.5 hours during the first 2 days of the course. This is supplemented by a short refresher which is also provided as prior reading to remind delegates of mathematical notations, data series and the principles of Calculus (Note that very little calculus is used during the course, however, the principles of differentiation and integration are used to ‘contextualise’ discussions on AR&M). AR&M theory is based on probability law; and basic Probability Laws are summarised to enable AR&M to be fully understood.
Lesson 2: System Measures & Metrics
This lesson introduces the delegate to the definitions and significance of AR&M as the primary driver of Whole Life Costs. It considers the characteristics and relationships that contribute to the Availability of a System and addresses the major terms and parameters used when addressing Reliability, Maintainability and Testability.
Lesson 3: AR&M & Systems Engineering
Examines AR&M within the context of a Systems Engineering process and discusses the significant standards which are relevant to an effective R&M programme.
The application of AR&M during the Acquisition Cycle is also discussed and the differing focus and objectives during a Product Realisation Process considered.
Lesson 4: Causes of Failure
Examines and discusses the underlying causes of failure and contributory factors for Electrical/Electronic, Mechanical and Software elements of a system.
Also considers the underlying causes and effects for Human related errors and the contributions to System un-reliability.
Lesson 5: AR&M Management & Engineering in the Lifecycle
The Management of an R&M programme throughout the lifecycle and the major objectives and activities are identified and discussed.
The principle of progressive assurance and the R&M Case is presented with emphasis on “growing” a body of evidence.
Lesson 6: R&M in Design
This lesson considers the R&M Products & deliverables addressed from both a Customer’s and Supplier’s perspective. The Contracting and AR&M Management considerations include Purchaser requirements and contractor implementation together with AR&M Specifications & AR&M documents encompassing Planning, Technical reports and the R&M Case.
Lesson 7: R&M Engineering Techniques
The “engineering design” phase is addressed in this lesson. Many of the tasks conducted in this phase are procedural in nature and application is discussed to a suitable depth with appropriate examples. The significance of techniques such as FMEA (Failure Mode Effects Analysis) and FTA (Fault Tree Analysis), RCM (Reliability Centred Maintenance) and other methods are emphasised within the context of achieving a reliable system design. Practical FMEA, FTA discussions and exercises are performed by delegates and the concepts and issues discussed.
Lesson 8: R&M Allocation Modelling and Prediction
This is an extensive lesson with many practical examples and exercises that presents and discusses the ‘specification and technical planning’ phases of a reliability programme (it is followed by the ‘engineering design’ phase). The lesson commences with the apportionment / allocation tasks and their objectives, benefits and shortcomings. Reliability predictions are then discussed together with the differing techniques which can be utilised for different technologies (e.g. Electrical/electronic, Mechanical & Software).
Finally, reliability modelling is discussed in depth addressing: block diagrams, different configurations, various redundancy techniques and various modelling methods.
Lesson 9: Reliability Growth, Data Collection and Analysis
Although this lesson starts with the simple DRACAS / FRB activity, the remaining topics of data analysis, structured testing and growth programmes bring together the principles of distributions and the harsh realities of today’s drive to contract for finite parameters. Understanding reliability testing and data analysis with the underpinning realities that exist enable delegates to quickly evaluate and soundly articulate the commercial risks involved, be it for the purchaser or the supplier. Delegates are involved in analysis of data using both Normal and Weibull distributions and the interpretation and discussion of results.
Lesson 10: Statistical Demonstration
Examines and discusses the principles and concepts underlying statistical R&M demonstrations and their potential role within both formal acceptance and verification and Progressive Assurance approaches.
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