In near future, technology and especially connected objects – smart things stuffed with sensors and so-called wearable devices – will supercharge Lean improvements.
One example of such already used device is given in a Mark Graban podcast about Hand Hygiene & Patient Safety. In this podcast (Episode #205), Mark’s guest Joe Schnur, VP Business Development at Intelligent M, explains how his wearable solution called smart band, (see video below) helps gather huge amount of accurate data compared to human observer with a clipboard.
You may listen to the whole podcast or skip to 13:30 and more specifically to 15:00 to hear about the wearable smart band, 21:50 about the data gathering.
Human observer has its limitations as to what information he/she can catch and how accurately it can be done. Think about fast events occurring often and/or tasks not easy to watch because of the layout. Human observations are therefore often limited to ticks on a pre-formated check sheet.
As human observers are high cost (compared to newer technology), they are used in limited number, during limited time and usually with sampling techniques.
Appropriate technology can gather many data for a single event: temperature, motions, duration, acceleration, applied force and what ever embedded sensors are designed for. These devices capture everything of each event, not only samples.
The cost per data point is obviously in favor of technology, not only because of quantity of data but also its quality (read accuracy). In near future the cost of these technologies will further drop, making automatic data collection available almost for free.
The mass of data captured allows using big data techniques, even so data scientists may smile at the “big” in this specific case. Nevertheless, with more smart objects and sensors everywhere (Internet of Things, Smart factories, etc.), the flood of data will grow really big and allow process mining, correlation search on a huge sets of parameters and more.
I am convinced that in near future, most of Value Stream Maps will be generated automatically and updated real time by such kind of devices/data sets, with ability to zoom in on details or zoom out for a broader view at will, and more.
The same systems will be able to pre-analyze and dynamically spot bottlenecks and sub-optimized parts in the process, make suggestions for improvements if not corrections by themselves.
- Artificial intelligence with machine learning ability will suggest improvements based on scenarios stored in their literally infinite memory or on their predictions about potential problems.
- The Internet of Things (IoT) will be made by objects communicating and interacting with each other.
What is likely to come are intelligent monitoring systems for any process, that build and maintain themselves, hence smart factories.
So, when Lean goes digital to that point, what will be left to humans?
This is a topic for a next post and an opportunity for you to give your opinion in a comment.Follow @HOHMANN_Chris
You may also be interested by my series about What jobs in the factory of the future?
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