Smart Asset Management:
Lecture 1: Introduction to SAM
1.1. The Overview Effect:
- To do Asset Management in the best way, you need an overview of everything, therefore the
overview effect is important to see where maintenance is needed.
1.2: Technical Assets (TA):
Asset Management is the management of Technical / Physical Assets (TA/PA):
How they are maintained.
Asset management is hugely important for many sectors of the economy.
Currently, our technical assets are in need of major upgrades (and adaption to sustainability):
Aging assets meet digitalization:
- This in combination with the increase in capabilities for digitization.
- Great possibilities for using digitization.
- Example: in 2010, voice:data = 1:2, now, voice:data = 1:200, less voice data because better
technology → don’t have to call, just text.
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,Technological innovation offers solutions but needs to be supported by social innovations!
- Causal relationship shown with the arrows. Condition and risk-based maintenance depends
on a lot of factors, i.e., big data, models, sensors, etc.
- Right now, the contracts do not support this, you get paid to fix stuff, so why would you use
smart maintenance, then you will only be there half of the time and get paid half.
o Therefore, performance-based contracts have to be used.
- Knowledge mgt. and cultural change have an influence on everything, but then the picture
would get messy. Cultural change for the upper half, knowledge mgt for the lower half.
1.3: Triple Smart Asset Management:
Smart in SAM means: smart/digitized, systemic, integrated, and sustainable.
- Digitized: all the steps once done by human senses and with paper documents are now with
sensors and digital media
- Systemic: across the supply chain, across the lifecycle.
- Sustainable: SAM leads to smaller footprints (longer lifetime, fewer spare parts, less energy
usage, less pollution)
Human senses are not sensitive enough to pick up small deviations early in the degradation process:
- The P-F interval should be longer than the time you need to fix it, otherwise it will fail.
- Machines / sensors notice the point between 0 and P, while humans mostly cannot
- Example: Sensors noted the tires of Lewis were broken, Lewis didn’t.
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,The conventional Asset Mgt cycle is broken in many fragments → digitization integrates these:
SAM as a systemic cycle of planning and decision-making that leverages the opportunities of
digitization:
- Improve hand-on-tool time on a windmill farm by not using signatures of people, but by
letting machines check it.
SAM is sustainable: caring for the planet means caring for all of us, means caring for ourselves.
SAM leads to greater sustainability
across the asset life cycle:
1. Lower maintenance rate
2. Lower procurement rate
3. Lower decommissioning rate
4. Higher reuse rate
5. Less resource-consuming use rate.
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, SAM and SCM share an integral flow perspective: Systemic perspective:
- From a systemic perspective, SAM is also a Supply Chain.
Systemic service triangles in SAM: coordinating roles in a Supply Chain / Network: Service Triad.
- Train is owned by a railway company, but not build by the railway company but by a
manufacturer. The maintenance can be done by a third party. Third party will make a lot of
contact with suppliers, to discuss about the parts. They also will contact end-customers, use
them for improvements.
- You need a control tower, a place where all these different data is collected and viewed. Can
be a separate company but can also be done by one of the companies (M/O/SP). Who owns
the data of these assets is very important.
SAM fosters sustainability through a smaller ecological footprint across the asset lifecycle: TRIAD
- SMART: better equipment sensors, getting systems to monitor remotely.
- Savings: train runs smoother, consume less energy, lower ecological footprint, less creation
of pollution. Savings on End-of-life costs, by doing the sustainability impact upgrade in the
SMART stage.
- Life extension: train can last longer due to the upgrades. This part is the most important.
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