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Event Brief

Continuous Improvement with Advanced Systems Engineering is a graduate-level program focused on four key disciplines for optimizing designs and processes.  Reliability Techniques will show you how to prepare reliability predictions, when to incorporate redundancy, how to model hardware and software reliability, how to use the relationship between reliability and process capability, and how to use Excel for reliability calculations.  Fault Tree Analysis explores fault tree history and applications, gates and events, modeling complex systems, fault tree logic, quantifying fault trees to predict undesired event probability, fault tree software, and use of the fault tree as both a predictive and investigatory tool.  Failure Modes and Effects Analysis covers Process and Design FMEA preparation, how to identify potential failure modes, risk mitigation, MIL STD 1629/SAE J1739 requirements, and using Excel to tailor FMEAs to your needs.  Root Cause Failure Analysis provides a continuous improvement path forward with a proven 4-step problem solving process that identifies all potential failure causes, objectively evaluates each cause, converges on the root cause, and selects optimal corrective and preventive actions.  The training in each area is presented by an experienced industry professional and supported with extensive case studies and examples.

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This online series of technical training include:

Reliability Concepts and Techniques
24, 25, 26, 27 August 2020

Top 8 learning objectives:

  • Understand the role of the reliability engineer in the engineering development process.
  • Understand and use reliability mathematics distributions, including the Binomial, Weibull, Poisson, and other distributions.
  • Prepare Reliability Program Plans.
  • Understand the concepts of failure rate, mission time, reliability, and mean time between failures (MTBF).
  • Develop component and subassembly failure rates and failure rate modifiers based on MIL-HDBK-217F, NPRD-2011, the US Navy's MechRel program, product performance history, testing, and other sources.
  • Develop functional and reliability block diagrams.
  • Develop reliability predictions for electronic and mechanical components, series and parallel systems, and one-shot explosive devices.
  • Understand the relationship between stress, stress fluctuation, and reliability.

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Fault Tree Analysis
21, 22, 23, 24 September 2020

Top 8 learning objectives:

  • Construct fault tree analyses to identify all events and combinations of events that can result in a specific undesired system condition
  • Use fault tree symbology to model gates, events, and logic conditions leading to the occurrence of a specific undesired event or condition
  • Use proven fault tree analysis development techniques to accurately model system performance and behaviour
  • Consider environmental and other factors in exciting component anomalies and human error, and how such events contribute to the top undesired event
  • Assign probabilities to fault tree analysis component failures, human errors, and other events and conditions using published failure rate sources, similar component data, engineering estimates, and supplier inputs
  • Quantify fault trees to predict the probability of an undesired system condition
  • Identify how system redundancies and fail-safe features can be defeated by single-point component failures or human error
  • Identify computer aided fault tree analysis approaches and available fault tree analysis software

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Failure Modes and Effects Analysis
26, 27, 30 November and 1 December 2020

Top 8 learning objectives:

  • Identify potential product failure modes (and the effects and criticality of such failure modes) inherent to proposed designs during the concept, design, and production/use phases of the product life cycle.
  • Provide guidance to product designers such that potential failure modes are eliminated, or the effects of such failures are greatly mitigated.
  • Identify potential manufacturing and administrative process risks inherent in proposed processes during the concept and design phase.
  • Use Excel and numerous embedded Excel features to facilitate preparation and presentation of an FMEA.
  • Develop product and process reliability predictions as part of the FMEA process.
  • Quantitatively evaluate the probability of occurrence, risk, and severity of each potential failure mode.
  • Use a Risk Priority Number ranking scheme to identify those failure modes with the greatest risk.
  • Successfully adopt FMEA techniques to drive product and process improvement to ensure safety and reliability

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Root Cause Failure Analysis
18, 19, 20, 21 January 2021

Top 8 learning objectives:

  • Identify dominant failure modes through quantity and cost-based Pareto analyses
  • Identify the root causes of systems failures
  • Learn appropriate tools for isolating actual causes of failure in the universe of potential causes. 
  • Select and implement effective corrective actions
  • Learn from real-life case studies to help you apply this toolkit
  • Work as an inter-organizational, multi-disciplinary failure analysis team
  • Manage the failure analysis such that root causes are rapidly identified and corrected

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Who Should Attend

Decision makers, Head of Departments, Project Managers Engineers who are involved in product/system design, failure analysis, system safety, reliability, quality , manufacturing, and other members of your technical staff keen to upgrade their know-how in this domain

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Training Venue
Online Learning
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Contact Us

For more information about the event, please contact +65 8363 3065 or email marketing@k2binternational.com

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What past delegates said about our past training courses?

The trainer is very knowledgeable and the materials was very well organized and delivered. We have gained a comprehensive understanding in radar system for radar application. Thanks a lot!.”

Senior Member of Technical Staff, DSO National Laboratories

Radar Systems Design and Engineering, July 2012

 

K2B International has a good selection of trainer. The trainer is knowledgeable and his presentation was clear.”

Research Engineer, Electronic Systems Division, DSO National Laboratories

Radar Systems Design and Engineering, July 2012

 

The course was well presented and the trainer showed good knowledge of topics.”

Senior Software Engineer, ST Aerospace

Radar Signal Processing 2010

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