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Dependability ManagementLaajuus (5 cr)

Code: TKKU0300

Credits

5 op

Teaching language

  • Finnish

Responsible person

  • Harri Tuukkanen

Objective

A future professional of production, maintenance or engineering, this course supports your understanding of the lifecycle of assets from sourcing to rejection. You are able to define the required performance, which means that you can compile comprehensive and measurable techincal requirements. You understand the significance of the overall equipment effectiveness (OEE) and dependability for the production effectiveness and you are able to view the matter computationally. You are able to present analytical solutions to various dependability problems and apply known tools for solving the problems.

Knowledge and understanding:
You understand the pricipals of dependability thinking and understand the significance of requirements management

Engineering practice:
You are able to use analytical tools to assure the dependability of systems

Multidisciplinary competences:
You master both mathematical and qualitative skills.

Content

Technical definition of systems performance. Dependability and reliability engineering terms and definitions. Overall equipment effectiveness. Probability calculations. Dependability analysis. Failure cause analysis. Dependability development methods.

Qualifications

Mathematics (engineering). Basic knowledge of industrial systems. The course is suitable for all the mechanical-, electrical-, automation-, energy- and logistic engineering students after the midpoint of their studies.

Assessment criteria, satisfactory (1)

(1)
You master the basics of the course:
- Dependability and reliability engineering terms and definitions.
- Failure cause analysis.
- Probability calculations.
- Dependability analysis.
- Dependability development methods.
- Dependability modeling.

(2)
You are able to utilize the methods listed here to a limited extend:
- Dependability and reliability engineering terms and definitions.
- Failure cause analysis.
- Probability calculations.
- Dependability analysis.
- Dependability development methods.
- Dependability modeling.

Assessment criteria, good (3)

(3)
You are able to utilize the learned subjects comprehensively and you are able to perform independent decisions in practical tasks.

(4)
You master the requirement management processes. You are able to justify the dependablity management solutions mathematically and you know the critical analysis tools for production and maintenance.

Assessment criteria, excellent (5)

(5)
You master the essential terms and methods of dependability management and you are able to utilize them in critical and innovative manner in practical challenges. You are able to lead the analysis work in a real environment and solve the problems with analytical tools.

Enrollment

01.08.2024 - 22.08.2024

Timing

26.08.2024 - 18.12.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

10 - 40

Degree programmes
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
Teachers
  • Harri Tuukkanen
Groups
  • TKN22SB
    Konetekniikka (AMK)
  • TER22S1
    Energia- ja ympäristötekniikka (AMK)
  • TER22SM
    Energia- ja ympäristötekniikka (AMK)

Objectives

A future professional of production, maintenance or engineering, this course supports your understanding of the lifecycle of assets from sourcing to rejection. You are able to define the required performance, which means that you can compile comprehensive and measurable techincal requirements. You understand the significance of the overall equipment effectiveness (OEE) and dependability for the production effectiveness and you are able to view the matter computationally. You are able to present analytical solutions to various dependability problems and apply known tools for solving the problems.

Knowledge and understanding:
You understand the pricipals of dependability thinking and understand the significance of requirements management

Engineering practice:
You are able to use analytical tools to assure the dependability of systems

Multidisciplinary competences:
You master both mathematical and qualitative skills.

Content

Technical definition of systems performance. Dependability and reliability engineering terms and definitions. Overall equipment effectiveness. Probability calculations. Dependability analysis. Failure cause analysis. Dependability development methods.

Time and location

Mikkonen, H. (toim.) 2009. Kuntoon perustuva kunnossapito: käsikirja. Helsinki. KP-Media.
Järvio, J. (toim.) 2017. Kunnossapito: tuotanto-omaisuuden hoitaminen. Helsinki: Kunnossapitoyhdistys Promaint.
Kosola J. 2007. Suorituskyvyn elinjakson hallinta. Helsinki. Maanpuolustuskorkeakoulu.
Kosola J. 2013. Vaatimustenhallinnan opas. Helsnki. Maanpuolustuskorkeakoulu.
Frenkel, I., Karagrigoriou, A., Lisnianski A. & Kleyner A. 2013. Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference. John Wiley & Sons.
Smith, D. 2005 Reliability, Maintainability and Risk : Practical Methods for Engineers Including Reliability Centred Maintenance and Safety-Related Systems. Elsevier Science & Technology.
Kapur, K. Pecht, M. 2014. Reliability Engineering. Hoboken.
NASA - Reliability: https://extapps.ksc.nasa.gov/Reliability/
Standardit.

Teaching methods

Classes, excersices.

Practical training and working life connections

The project work can be assigned by industry.

Exam dates and retake possibilities

Digital exam. (Exam-system).

2 chances to resit the exam if the exam is not passed.

Student workload

Classes 3h per week. Weekly exercises and project work.

Further information for students

Evaluation: Exam 50 %. Project work 30 %. Other exercises 20 %. The exam must be passed and the project work completed.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

(1)
You master the basics of the course:
- Dependability and reliability engineering terms and definitions.
- Failure cause analysis.
- Probability calculations.
- Dependability analysis.
- Dependability development methods.
- Dependability modeling.

(2)
You are able to utilize the methods listed here to a limited extend:
- Dependability and reliability engineering terms and definitions.
- Failure cause analysis.
- Probability calculations.
- Dependability analysis.
- Dependability development methods.
- Dependability modeling.

Evaluation criteria, good (3-4)

(3)
You are able to utilize the learned subjects comprehensively and you are able to perform independent decisions in practical tasks.

(4)
You master the requirement management processes. You are able to justify the dependablity management solutions mathematically and you know the critical analysis tools for production and maintenance.

Evaluation criteria, excellent (5)

(5)
You master the essential terms and methods of dependability management and you are able to utilize them in critical and innovative manner in practical challenges. You are able to lead the analysis work in a real environment and solve the problems with analytical tools.

Prerequisites

Mathematics (engineering). Basic knowledge of industrial systems. The course is suitable for all the mechanical-, electrical-, automation-, energy- and logistic engineering students after the midpoint of their studies.

Enrollment

01.08.2023 - 24.08.2023

Timing

28.08.2023 - 19.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 20

Degree programmes
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
Teachers
  • Harri Tuukkanen
Scheduling groups
  • TER21S1 (Capacity: 30. Open UAS: 0.)
  • TER21SM (Capacity: 30. Open UAS: 0.)
  • TKN21SB (Capacity: 30. Open UAS: 0.)
Groups
  • TKN21SB
    Konetekniikka (AMK)
  • TER21S1
    Energia- ja ympäristötekniikka (AMK)
  • TER21SM
    Energia- ja ympäristötekniikka (AMK)
Small groups
  • Scheduling group 1
  • Scheduling group 2
  • Scheduling group 3

Objectives

A future professional of production, maintenance or engineering, this course supports your understanding of the lifecycle of assets from sourcing to rejection. You are able to define the required performance, which means that you can compile comprehensive and measurable techincal requirements. You understand the significance of the overall equipment effectiveness (OEE) and dependability for the production effectiveness and you are able to view the matter computationally. You are able to present analytical solutions to various dependability problems and apply known tools for solving the problems.

Knowledge and understanding:
You understand the pricipals of dependability thinking and understand the significance of requirements management

Engineering practice:
You are able to use analytical tools to assure the dependability of systems

Multidisciplinary competences:
You master both mathematical and qualitative skills.

Content

Technical definition of systems performance. Dependability and reliability engineering terms and definitions. Overall equipment effectiveness. Probability calculations. Dependability analysis. Failure cause analysis. Dependability development methods.

Learning materials and recommended literature

Mikkonen, H. (toim.) 2009. Kuntoon perustuva kunnossapito: käsikirja. Helsinki. KP-Media.
Järvio, J. (toim.) 2017. Kunnossapito: tuotanto-omaisuuden hoitaminen. Helsinki: Kunnossapitoyhdistys Promaint.
Kosola J. 2007. Suorituskyvyn elinjakson hallinta. Helsinki. Maanpuolustuskorkeakoulu.
Kosola J. 2013. Vaatimustenhallinnan opas. Helsnki. Maanpuolustuskorkeakoulu.
Frenkel, I., Karagrigoriou, A., Lisnianski A. & Kleyner A. 2013. Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference. John Wiley & Sons.
Smith, D. 2005 Reliability, Maintainability and Risk : Practical Methods for Engineers Including Reliability Centred Maintenance and Safety-Related Systems. Elsevier Science & Technology.
Kapur, K. Pecht, M. 2014. Reliability Engineering. Hoboken.
NASA - Reliability: https://extapps.ksc.nasa.gov/Reliability/
Standardit.

Teaching methods

Oppitunnit, harjoitustehtävät ohjattuna- sekä itseohjautuvana työskentelynä.

Practical training and working life connections

-

Exam dates and retake possibilities

Exam-pohjainen tentti. Suoritus pääsääntöisesti koululla yhteisessä tilassa.

2 uusintamahdollisuutta hylätyille arvosanoille.

International connections

-

Alternative completion methods

-

Student workload

Opetus koululla n. 3-4h viikossa. Viikkoharjoituksia osin ohjattuna n. 40 h Omalla ajalla suoritettavia harjoitustöitä n. 30 h.

Content scheduling

-

Further information for students

Arviointiperusteet: Tentti 50 %, Harjoitustyö 30 %, Muut harjoitukset 20 %. Tentti on läpäistävä vähintään 50 % pistesuoritteella. Harjoitustyö tulee suorittaa.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

(1)
You master the basics of the course:
- Dependability and reliability engineering terms and definitions.
- Failure cause analysis.
- Probability calculations.
- Dependability analysis.
- Dependability development methods.
- Dependability modeling.

(2)
You are able to utilize the methods listed here to a limited extend:
- Dependability and reliability engineering terms and definitions.
- Failure cause analysis.
- Probability calculations.
- Dependability analysis.
- Dependability development methods.
- Dependability modeling.

Evaluation criteria, good (3-4)

(3)
You are able to utilize the learned subjects comprehensively and you are able to perform independent decisions in practical tasks.

(4)
You master the requirement management processes. You are able to justify the dependablity management solutions mathematically and you know the critical analysis tools for production and maintenance.

Evaluation criteria, excellent (5)

(5)
You master the essential terms and methods of dependability management and you are able to utilize them in critical and innovative manner in practical challenges. You are able to lead the analysis work in a real environment and solve the problems with analytical tools.

Prerequisites

Mathematics (engineering). Basic knowledge of industrial systems. The course is suitable for all the mechanical-, electrical-, automation-, energy- and logistic engineering students after the midpoint of their studies.

Enrollment

01.08.2022 - 25.08.2022

Timing

29.08.2022 - 31.12.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Face-to-face

Unit

School of Technology

Teaching languages
  • Finnish
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Energy and Environmental Technology
  • Bachelor's Degree Programme in Mechanical Engineering
Teachers
  • Harri Tuukkanen
Groups
  • TKN20SB
    Konetekniikka (AMK)
  • TKN19SB
    Konetekniikka B
  • TER19SM
    Energia- ja ympäristötekniikka
  • TER20SM
    Energia- ja ympäristötekniikka (AMK)
  • TER19S1
    Energia- ja ympäristötekniikka
  • TER20S1
    Energia- ja ympäristötekniikka

Objectives

A future professional of production, maintenance or engineering, this course supports your understanding of the lifecycle of assets from sourcing to rejection. You are able to define the required performance, which means that you can compile comprehensive and measurable techincal requirements. You understand the significance of the overall equipment effectiveness (OEE) and dependability for the production effectiveness and you are able to view the matter computationally. You are able to present analytical solutions to various dependability problems and apply known tools for solving the problems.

Knowledge and understanding:
You understand the pricipals of dependability thinking and understand the significance of requirements management

Engineering practice:
You are able to use analytical tools to assure the dependability of systems

Multidisciplinary competences:
You master both mathematical and qualitative skills.

Content

Technical definition of systems performance. Dependability and reliability engineering terms and definitions. Overall equipment effectiveness. Probability calculations. Dependability analysis. Failure cause analysis. Dependability development methods.

Learning materials and recommended literature

Mikkonen, H. (toim.) 2009. Kuntoon perustuva kunnossapito: käsikirja. Helsinki. KP-Media.
Järvio, J. (toim.) 2017. Kunnossapito: tuotanto-omaisuuden hoitaminen. Helsinki: Kunnossapitoyhdistys Promaint.
Kosola J. 2007. Suorituskyvyn elinjakson hallinta. Helsinki. Maanpuolustuskorkeakoulu.
Kosola J. 2013. Vaatimustenhallinnan opas. Helsnki. Maanpuolustuskorkeakoulu.
Frenkel, I., Karagrigoriou, A., Lisnianski A. & Kleyner A. 2013. Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference. John Wiley & Sons.
Smith, D. 2005 Reliability, Maintainability and Risk : Practical Methods for Engineers Including Reliability Centred Maintenance and Safety-Related Systems. Elsevier Science & Technology.
Kapur, K. Pecht, M. 2014. Reliability Engineering. Hoboken.
NASA - Reliability: https://extapps.ksc.nasa.gov/Reliability/
Standardit.

Teaching methods

Oppitunnit, harjoitustehtävät ohjattuna- sekä itseohjautuvana työskentelynä.

Practical training and working life connections

-

Exam dates and retake possibilities

Exam-pohjainen tentti. Suoritus pääsääntöisesti koululla yhteisessä tilassa.

2 uusintamahdollisuutta hylätyille arvosanoille.

International connections

-

Alternative completion methods

-

Student workload

Opetus koululla n. 3-4h viikossa. Viikkoharjoituksia osin ohjattuna n. 40 h Omalla ajalla suoritettavia harjoitustöitä n. 30 h.

Content scheduling

-

Further information for students

Arviointiperusteet: Tentti 50 %, Harjoitustyö 30 %, Muut harjoitukset 20 %. Tentti on läpäistävä vähintään 50 % pistesuoritteella. Harjoitustyö tulee suorittaa.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

(1)
You master the basics of the course:
- Dependability and reliability engineering terms and definitions.
- Failure cause analysis.
- Probability calculations.
- Dependability analysis.
- Dependability development methods.
- Dependability modeling.

(2)
You are able to utilize the methods listed here to a limited extend:
- Dependability and reliability engineering terms and definitions.
- Failure cause analysis.
- Probability calculations.
- Dependability analysis.
- Dependability development methods.
- Dependability modeling.

Evaluation criteria, good (3-4)

(3)
You are able to utilize the learned subjects comprehensively and you are able to perform independent decisions in practical tasks.

(4)
You master the requirement management processes. You are able to justify the dependablity management solutions mathematically and you know the critical analysis tools for production and maintenance.

Evaluation criteria, excellent (5)

(5)
You master the essential terms and methods of dependability management and you are able to utilize them in critical and innovative manner in practical challenges. You are able to lead the analysis work in a real environment and solve the problems with analytical tools.

Prerequisites

Mathematics (engineering). Basic knowledge of industrial systems. The course is suitable for all the mechanical-, electrical-, automation-, energy- and logistic engineering students after the midpoint of their studies.