Text

Course syllabus - Maintenance and Dependability

Scope

7.5 credits

Course code

PPU466

Valid from

Autumn semester 2025

Education level

Second cycle

Progressive Specialisation

A1N (Second cycle, has only first-cycle course/s as entry requirements)

Main area(s)

Product and Process Development

Organisation

School of Innovation, Design and Engineering

Ratified

2023-01-19

Revised

2025-01-16

Literature lists

Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.

    • Ratified date: 2025-09-05
    • Latest update: 2025-09-05

    Articles

    Ahuja, I.P.S; Khamba, J.S

    Total productive maintenance: literature review and directions

    pp.709-756

    International Journal of Quality & Reliability Management, Vol. 25 Issue: 7,

    Bengtsson , M.; Salonen, A.

    Requirements and Needs – A foundation for reducing maintenance-related waste

    pp. 105-112

    Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015),

    Bokrantz, J.; Skogh, A.; Berlin, C.; Stahre, J.

    Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030

    pp. 154-169

    International Journal of Production Economics, No. 191,

    Cavalieri, S.; Garetti, M.; Macchi, M.; Pinto, R.

    A Decision-making Framework for Managing Maintenance Spare parts

    pp. 379-396

    Production Planning & Control, Vol. 19, No. 4,

    Pajudas, W.; Chen, F.F.

    A Reliability Centered Maintenance Strategy, For A Discrete Part Manufacturing Facility

    pp.241-244

    Computers in Engineering, No. 1,

    Rastegari, A.; Archenti, A.; Mobin, M.

    Condition Based Maintenance of Machine Tools: Vibration Monitoring of Spindle Units

    pp. 1-6

    IEEE 63rd Annual Reliability and Maintainability Symposium, Florida, USA,

    Salonen, A.; Deleryd, M.

    Cost of Poor Maintenance – A concept for maintenance performance improvement

    pp. 63-73

    Journal of Quality in Maintenance Engineering, Vol. 17, No.1,

    Salonen, A.

    The need for a holistic view on dependable production systems

    pp. 17-22

    Proceedia Manufacturing, No.25,

    Bengtsson, M.; Kurdve, M.

    Machining Equipment Life Cycle Costing Model with Dynamic Maintenance Cost

    pp. 102-107

    Proceedia CIRP,

    Frost, C.; Nöcker, J.; Demetz, J.; Schmidt, M.

    The evolution of maintenance 4.0 – What should companies be focusing on now?

    pp. 123-132

    Proceedings of 4th International Conference on Maintenance Engineering, IncoME-IV,

    Reason, J.

    Understanding adverse events: human factors

    pp. 80-89

    Quality in Health care, No. 4,

    Salonen, A.; Gopalakrishnan, A.

    The practices of preventive maintenance planning in discrete manufacturing industry

    Journal of Quality in Maintenance Engineering,

    Franciosi, C.; Voisin, A.; Miranda, S.; Riemma, S.; Iung, B.

    Measuring maintenance impacts on sustainability of manufacturing industries: from a systematic literature review to a framework proposal

    Journal of Cleaner Production, 260, 121065,

    Giliyana, S.; Bengtsson, M.; Salonen, A.

    Implementing and using smart maintenance technologies: Introducing challenges and enablers related to human, organizational and technological perspectives

    6th International Conference on Industry 4.0 and Smart Manufacturing, published in Procedia Manufacturing,

    Jasiulewicz-Kaczmarek, M.; Legutko, S.; Kluk, P.

    Maintenance 4.0 technologies–new opportunities for sustainability driven maintenance

    Management and production engineering review, 11,

    Psaromatis, F.; May, G.; Azamfirei, V.

    Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

    376-399

    Journal of Manufacturing Systems, 68,

    Salonen, A.

    Formulation of Maintenance Strategies – a Simplified Process

    pp. 9-18

    International Journal of Condition Monitoring and Diagnostic Engineering Management, Vol. 15, No. 3,

    Schlie, M.

    Early Equipment Management

    Wienker, M.; Henderson, K.; Volkerts, J.

    The computerized maintenance management system an essential tool for world class maintenance

    413-420

    Procedia Engineering, 138,

    Compendiums

    Dependability – Calculations in: Reliability, Maintainability, Maintenance Supportability, Availability, and Overall Equipment Effectiveness. Report no. IDPIoDTR:07:02

    Web adresses

    URL: Link

    URL: Link

    URL: Link

    Reference literature

    Jardine, Andrew K. S.; Tsang, Albert H. C.

    Maintenance, replacement, and reliability: theory and applications

    49 – 56

    ISBN: 9781466554856

    LIBRIS-ID: 21624541

    Second edition, Boca Raton, FL., CRC Press, xxv, 338 s.

Objectives

The aim of this course is to provide knowledge in how to create dependable production systems through engineering methods within maintenance and production engineering.

Learning outcomes

After completing the course the student shall be able to:

  1. compile a technical specification for dependable production equipment with respect to the expected life cycle cost
  2. compiling and planning of preventive maintenance of production equipment
  3. analyze and evaluate the maintenance and reliability data from equipment and draw conclusions from the analysis
  4. apply basic principles for spare parts management
  5. explain the differences, advantages and disadvantages of common maintenance concepts
  6. relate the maintenance activities to the various costs they may be associated with
  7. categorize maintenance-related wastes
  8. describe the current trends, challenges and opportunities for the maintenance of dependable production systems

Course content

  • Technical specification of equipment
  • Life Cycle Cost
  • CMMS
  • Preparation and planning of maintenance
  • Data analysis of the reliability-related equipment data
  • Concepts for management of maintenance and reliability
  • Maintenance Economy
  • Value adding maintenance activities
  • Trends, challenges and opportunities in the field

Specific requirements

30 credits completed courses within production and process development, including knowledge in maintenance and dependability. This can be fulfilled e.g. through the courses, Industrial Production and Logistics and Lean Production. Further requirements is a completed course of 3.5 credits in Probability. In addition, Swedish B/Swedish 3 and English A/English 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish B/Swedish 3.

Examination

Assignment (INL1) LCC-analysis, 1,5 credits, (examines learning outcome 1), marks Fail (U) or Pass (G)
Assignment (INL2), Data analysis, 1,5 credits, (examines learning outcomes 3 and 4), marks Fail (U) or Pass (G)
Assignment (INL3), Reflection on lessons, 1,5 credits, (examines learning outcomes 2, and 5 - 7), marks Fail (U) or Pass (G)
Home examination (HEM2), 3 credits, (examines learning outcome 8), marks Fail (U), 3, 4 or 5

A student who has a certificate from MDU regarding disability study support, can request adaptions for the examination. It is the examiner who takes decisions on any adaptions, based on the certificate and other conditions.

Grade

Grading scale: 5, 4, 3

Interim Regulations and Other Regulations

The course overlaps 7.5 credits with PPU420 Maintenance and Dependability, 2.5 credits with PPU471 Industrial Maintenance Development and 4 credits with PPU429 Industrial Maintenance Development.