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Availability, Reliability and Maintainability

First Delegate: £1,650.00 + VAT Second Delegate and MoD: £1,485 + VAT Duration: 5 Days

Course Description

Course Description

 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 policy and its application in the design and development of equipment and systems. Topics covered include: Current Policy; Mission Profiles; Allocations and Predictions; Cost Savings; Verification Testing; Data Collection & Analysis; and Life Cycle Tasks.

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.

Course Outline:

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. Delegates are exposed to the consequent simple methodologies which can be applied to exceptionally complex systems 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 all of the AR&M tasks 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. All major AR&M issues are supported with practical examples and exercises which ensure that the delegate acquires both a robust understand of AR&M theory and real practice of producing solutions.

Lesson 1: Introduction

This lesson introduces the delegate to the definitions and significance of AR&M as the primary driver of Whole Life Costs. A short refresher is given 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 discussed to ‘contextualise’ discussions on AR&M). AR&M theory is based on probability law; and basic Probability Laws are discussed, this time to enable AR&M to be fully understood.

  • General
  • Definitions
  • Interrelationships between ARM
  • Related disciplines
  • Through life applications
  • Ministry responsibilities
  • Contractor responsibilities
  • Baseline as-delivered system
  • In-service demonstrations
  • In-service data collection & trend analysis
  • Systems Engineering Process
  • System Effectiveness
  • In-Service ARM Overview

Lesson 2: Reliability/Maintainability/Availability Theory

The basic concepts of reliability theory are discussed within the context of failure distributions. Different statistical distributions are presented, together with typical AR&M engineering applications. This lesson then considers how to address Series, Parallel and N out of M configurations using reliability and unreliability (this methodology is both absolute in nature and exceptionally simple to grasp and apply). Having begun to understand reliability using distributions, the analogous discipline of maintainability is similarly considered. Finally, the basic concepts of reliability are discussed.

  • Reliability Theory
  • Basic Concepts
  • Normal (or Gaussian), Lognormal, Exponential, Weibull and Poisson Distributions
  • Series Configuration
  • Parallel Configuration
  • N out of M Configuration 
  • Normal (or Gaussian), Lognormal and Exponential Distributions
  • Basic Concepts
  • Markov Process
  • Statistical Distributions
  • Failure Modelling
  • Maintainability Theory
  • Basic Concepts
  • Availability Modelling

Lesson 3: Reliability Specification, 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 necessary elements to specify reliability and then considers the apportionment / allocation tasks. Then reliability modelling is discussed in depth addressing: block diagrams, different configurations, various redundancy techniques and various modelling methods. Finally, reliability predictions are discussed for the differing techniques which can be utilised.

  • Reliability Specification
  • Methods of Specifying the Reliability Requirement
  • Description of Environment and/or Use Conditions
  • Time Measure or Mission Profile
  • Clear Definition of Failure
  • Description of Method(s) for Reliability Demonstration
  • General Procedure
  • Reliability Block Diagrams
  • Reliability Modelling Methods
  • Reliability Prediction
  • Similar Item Prediction Method
  • Parts Count Prediction Method
  • Parts Stress Analysis Prediction Method
  • Reliability Apportionment/Allocation
  • Reliability Modelling and Prediction

Lesson 4: Reliability Engineering Design Guidelines

The ‘engineering design’ phase is presented 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 Human Reliability, FMEA and FTA are emphasised within the context of achieving a reliable system design as well as achieving a reliable design. Practical FMEA, FTA and Testability exercises are based on a highly topical engineering project.

  • Parts Management
  • Derating
  • Reliable Circuit Design
  • Fault Tolerant Design
  • Environmental Design
  • Human Performance Reliability
  • Failure Mode and Effects Analysis
  • Fault Tree Analysis
  • Sneak Circuit Analysis
  • Design Reviews
  • Design for Testability
  • System Safety Program

Lesson 5: Reliability Data Collection and Analysis, Demonstration and Growth

Although this lesson starts with the simple DRACAS / FRB task, the remaining topics of data analysis, structured demonstrations and growth programmes bring together the principles of distributions and the harsh realities of today’s drive to contract for finite parameters. As the saying goes ‘the proof of the pudding lies in the eating’, so too does ‘the proof of reliability lies in actual usage’. Understanding reliability demonstrations with the underpinning realities that exist enable delegates to quickly evaluate and soundly articulate the commercial risks involved, be it for the purchaser of the supplier.

  • DRACAS and FRB
  • Reliability Data Analysis
  • Reliability Demonstration
  • Reliability Growth
  • Accelerated Testing

Lesson 6: Software Reliability

Software is an integral element of most systems, and although software does not ‘wear-out’, the consequences of defects which exhibit as software failure cannot be ignored. This lesson presents the nature of software programmes and the methods of allocating and predicting reliability.

  • Software Issues
  • Software Design
  • Software Design and Development Process Model
  • Software Reliability Prediction and Estimation Models
  • Software Reliability Allocation
  • Software Testing
  • Software Analyses  

Lesson 7: Systems Reliability Engineering

Having previously addressed AR&M at the engineering level, this lesson considers how to engineer AR&M at the system level during the system design process. The ability to identify ‘weak’ versus ‘strong’ AR&M design areas during design infancy reduces technical and time-scale risks to programmes. This lesson presents techniques that can be applied.

  • System Effectiveness Concepts
  • System R&M Parameters
  • System, R&M Modelling Techniques
  • Trade-off Techniques
  • Allocation of Availability, Failure and Repair Rates
  • System Reliability Specification, Prediction and Demonstration

Lesson 8: Production and Use (Deployment) R&M

This lesson addresses the AR&M tasks that are applicable during the Production and Use phases of an AR&M programme. At the Production phase, the reliability processes that are employed are readily identifiable as quality or quality control procedures – the first practical demonstration on a project that reliability design was the intent; engineering reliability into a system is a challenge.

  • Production Reliability Control
  • Quality Engineering (QE) and Quality Control (QC)
  • Production Reliability Degradation Assessment & Control
  • Environmental Stress Screening
  • Production Reliability Acceptance Testing
  • Data Collection and Analysis
  • Monitor/Control of Subcontractors and Suppliers
  • Reliability and Quality During Shipment and Storage
  • Operational R&M Assessment and Improvement

Lesson 9: Reliability Management Considerations

This lesson considers the differing objectives of the supplier / purchaser and the necessary principles of contracting successfully for AR&M. Finally the R&M Case is presented with emphasis on ‘growing’ a body of evidence. The practical manifestation of warranties and guarantees are discussed, before summarising the primary elements of the AR&M course.

  • Purchaser Requirements
  • Contractor Implementation
  • Contracting for AR&M
  • AR&M Documents
  • R&M Case
  • Warranties and Guarantees
Dates: 12 Nov 2018 - 16 Nov 2018
Speaker:     Stephen Hunt
Venue: Northampton

"Gaining more practical understanding of Reliability."
Lockheed Martin Delegate  
"A very, very informative course in which I have gained a much greater understanding of the subject."
Thales Training and Consultancy Delegate