The Reliability and Product Lifetime Management course is focused on determining the lifetime and reliability rate of products that are used in development processes according to the ISO 26262 standard.
- Under the guidance of an experienced lecturer, participants apply the content mainly using exercises and examples from practice.
- Top lecturers with experience and experts in their field.
- High degree of satisfaction of course participants .
The form of realization of the course is face-to-face or online (or both forms) .
The working methods used in the training programs are chosen in such a way as to ensure interactivity, adapt the content to the needs of the participants and prioritize the transfer of knowledge into practice .
- Effectively master the basic reliability management procedures necessary for determining the lifetime and reliability of products that are used in the development, design and testing processes of products in accordance with the requirements of ISO 26262 for the functional and safety characteristics of products in the design and manufacture of tools in preventive maintenance processes .
- Understand and master the most commonly used concepts such as MTTF, MTBF, life curve (Bathtube), frequency of failures (Hazard function), S(t), R(t), used in the FTA (Fault Tree Analysis) methodology.
- The MINITAB® computer program is used for practical exercises. Participants can be inspired by how these methods were used to solve specific problems in organizations and solve questions from their own organization. Participants are expected to have basic knowledge of statistical and graphic methods of SPC.
Definitions and basic indicators in reliability management
- PDF probability functions and their distribution functions in lifetime measurement.
- Distribution functions of life time (Failure time) F(t) and survival time (Survival time) S(t). Parametric and non-parametric determination of life time F(t) or S(t).
Data collection for reliability management
- Complete and censored (Censored) data, interval (Arbitrary) data.
Predicted end-of-life scenarios and models of products (parametric)
- Weibull, lognormal, exponential distribution, and distribution of extreme values.
- Failure frequency λ(t) (Hazard) and U Bathtube function.
Designing test plans for lifetime tests
- Demonstration test plans and plans for refining mathematical models for lifetime distribution functions (Estimation test plans).
Average life time and product life cycle
- Failure frequency and failure frequency during the life cycle of the U Bathtube product.
- MTTF, MTBF, MTTF. Examples of disruptive behavior.
