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Smart Maintenance
Module developed by ingenjör4.0

Smart Maintenance

Starting date: 2023-04-26
Price: 1 995 SEK ex. vat

This module enables you to develop the future of maintenance in your factory!


The annual cost of maintenance and production disturbances in the Swedish manufacturing industry is more than 100 Billion SEK and the Overall Equipment Effectiveness (OEE) is just above 50%. It is therefore easy to understand the recent increase in attention for the maintenance field, both in industry and academia. For example, predictive maintenance is considered one of the most important industrial use cases for enabling industrial digitalization, given the potential business value (impact) and the richness of available data. Similarly, maintenance is of high strategic importance for companies in terms of enabling failure-free and resilient production systems with high levels of automation.

Given this background, industry and academia jointly developed the concept of Smart Maintenance to provide clarity and requirements on maintenance in digitalized manufacturing. Smart Maintenance is defined as “an organizational design for maintenance in digitalized manufacturing” and consists of four core dimensions: data-driven decision-making; human capital resource; internal integration; and external integration. It has also been shown that a high level of Smart Maintenance is necessary (critical, essential) for achieving a high level of maintenance performance.

The schedule
Module start: April 26
April 26, 1:00 PM - 2:00 PM CEST  — 1st Webinar – “Module kick-off”
May 3, 1:00 PM - 2:00 PM CEST — 2nd Webinar – “Learning Team Workshop — reflections and discussions in your learning team”
May 17, 1:00 PM - 2:00 PM CEST — 3rd Webinar – “Q&A Session — questions and answers with the teachers”
May 24, 1:00 PM - 2:00 PM CEST — 4th Webinar – “Learning Team Workshop — reflections and discussions in your learning team”
Learning objectives
Explain the concept of Smart Maintenance.
Distinguish between the four core dimensions of Smart Maintenance: data-driven decision-making, human capital resource, internal integration, and external integration.
Analyse contextual factors and expected effects of Smart Maintenance.
Assess the level of Smart Maintenance in a given factory.
Recommend actions and develop strategies to increase the level of Smart Maintenance in a given factory.
Module structure

The module is a mixture of self-study, webinars, and cross-company exercises.

Time commitment

To complete this module, the participant is expected to schedule approximately 4 hours per week over 5 weeks (20 hours in total).


Please note that a minimum of 10 participants is required for the module to start.

After applying to the program, please secure dates in your calendar to be able to join planned webinars and assure time available required for learning.

A unique module created in co-operation between academic partners
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