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  • Methods and Applications is applied on different models, methods, and unique approaches to deal with the technological aspects of Reliability Engineering


89259 06892


Duration |  6 Hours (2hrs/day)


  • Working professionals, Engineers, and Staffs from manufacturing, maintenance, Purchase, and Planning Departments from Steel, Textiles, Jute, Sugar, Cement, Paper, Petrochemical, Automobile and Tyre Manufacturing Industries.

  • Awareness in any of the fields in Maintenance, Engineering and Basic concepts in Manufacturing


  • Attendance – 90% Min 

  • Assignment completion – 100%

  • Post test assessment score – 70% Min


  • Presents the review and analysis of preventive maintenance modelling issues.

  • Presents the review on the requirements of quality, production, minimum costs, and reducing the frequency of failures.

  • Presents a novel approach for analysis of Failure Modes and Effect Analysis (FMEA)

  • Presents the Reliability and Availability modelling of a system through Markov chains and Stochastic Petri nets. 

  • Talks about the fault tree analysis technique for the calculation of reliability and risk measurement.

  • Presenting the failure rate functions of replacement times, random, and periodic replacement models, and their properties.

  • Highlighting the design of accelerated life tests with competing failure modes.

  • Discussing the time-variant reliability analysis methods for real-life.

  • Presenting an overview of the current state-of-the-art reliability assessment approaches.


  • Preventive Maintenance Modelling

  • Inspection Maintenance Modelling for Technical Systems

  • Application of Stochastic Processes in Degradation Modelling

  • Markov Chains and Stochastic Petri Nets for Availability and Reliability Modelling

  • An Overview of Fault Tree Analysis and Its Application in Dual Purposed Cask Reliability in an Accident Scenario

  • An Overview on Failure Rates in Maintenance Policies

  • Accelerated Life Tests with Competing Failure Modes

  • Time-Variant Reliability Analysis Methods

  • Latent Variable Models in Reliability

  • Expanded Failure Modes and Effects Analysis


By The End Of Course The Learner Will:

  • Understand the concepts of human error and reliability are integrated and complementary to each other.

  • Able to focus on human behaviour to recognize its potential involvement in system failure.

  • Attain the basic techniques of quality improvement, fundamental knowledge of statistics and probability.

  • Use control charts to analyse for improving the process quality. 

  • Describe different sampling plans.

  • Acquire basic knowledge of total quality management.

  • Understand the concepts of reliability and maintainability

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