codedata
codedata
Advent of IoT and cloud-based technologies has increased availability of data in #manufacturing. This data will allow businesses to monitor and control their processes at a much higher level of sophistication.
The availability of huge amounts of data also opens opportunities for advanced analytics and artificial intelligence which then empowers your manufacturing workforce to make objective, transparent and more accurate decisions in day-to-day operations. We are not talking of analytics that lead  to improved visualization representation. Realtime visualization of operations is important, but with MAKORO™ we are going beyond that – we are building a decision support system for manufacturing.  With advanced analytics capabilities in MAKORO™ we are putting reports and dashboards behind us. It is no longer necessary for your users to drill, slice or dice data.
Moreover, just because I mention AI and Advanced Analytics, you don’t need to hire data scientists, analysts and teams of software engineers to maintain, operate and use MAKORO™.
In fact it’s quite the opposite.
With MAKORO™, we display intelligence as natural language recommendations in plain English (or whatever your language happens to be) so your employees can read and understand them easily. These are recommendations that will impact your asset operation and maintenance processes for now, and many other processes later as we keep building more. But if you happen to have a data scientist on your team, we do offer data and statistics to back up our recommendations that your power user can dive into.
You ask, that’s broad – how can MAKORO™ be everything for everyone?
Yes MAKORO™ is broad.
But we are not building it broad.
We are breaking MAKORO™ down into specific problems. And for each problem we are building MAKORO™ deep before we go broad. That’s really the only way to build an artificial intelligence product. If you want to solve everything, even in a specific (and vast) domain like manufacturing, the product eventually ends up being a set of loosely joined projects. We are taking up asset performance at first and solving problems around that. That’s what the team is working on now.
At the core is MAKORO™ Mind – our AI platform that is capable of taking in and analyzing super large data sets from a variety of manufacturing sources and applying machine learning and deep learning algorithms to the data. The resulting models are then used to derive insights and recommendations about asset operations, which are automatically incorporated into operational flows, so that as data is received from your assets, our models generate recommendations that support your workers in making operational business decisions in real time.
Using the capabilities of MAKORO™ Mind we are building three applications: MAKORO™ Line – which makes recommendations about asset uptime, MAKORO™ Care – which makes recommendations about asset maintenance and MAKORO™ Force – which makes recommendations about improving productivity of operations and maintenance workforce.
All this with little to no data preparation or staging effort. Because we solve very specific problems you do not need to boil the ocean to prepare data.
And also because we have a Swiss Army knife. We call it MAKORO™ Prime.
Prime automates data preparation tasks that you commonly need so you don’t break a sweat. It facilitates data preparation for your training needs. Prime understands data in all sorts of formats – the ones you use and the ones we use. You can use your data in your formats. Prime will take it – without type restrictions and without limitations on data volume. Once Prime kicks in, it will cleanse, aggregate, summarize, and transform your data as required for analysis. And you will have complete transparency through the process.
Sitting on top of IoT and other manufacturing and enterprise systems MAKORO™ is being built to be the intelligent infrastructure that becomes the basis for industrial applications which will allow businesses to move to predictive operations and maintenance in the short and medium term, and to solve more strategic problems like market expansion, product differentiation in the long term, which will eventually lead businesses undertaking personalized and sustainable manufacturing.
We are building MAKORO™ for Cloud. For now. But we are looking for opportunities to bring it to the Fog and the Edge. Our goal is to have MAKORO™ footprints on all computing environments.
Until next time…
codedata

A bottoms-up architecture proposal for #industry40 to simplify OT architecture with #mqtt.

It’s true OT environments are complex and uses heterogenous systems based on vendor-specific, proprietary technologies. Simplifying these systems using open protocols and standards is an important step towards devising an Industry 4.0 architecture. Whether you go top down or bottom up in your architectural approach, one thing is for sure: with increasing complexity of systems and prime assets spread across multiple locations and geographies it’s no longer feasible to scope, architect, design, build, and maintain operational systems in groups of silos using ad-hoc approaches.

The real value proposition of a simplified architecture more amenable to #smartmanufacturing (involving both IT and OT systems) is in the end to fulfill the mission of secure, reliable, and streamlined operations.

Inspired by: https://www.smartindustry.com/articles/2019/industry-4-0-requires-a-new-architecture

codedata

Based on my interest in the future of workforce in #smartmanufacturing:

It is harder for oil and gas companies to lure a younger generation workforce which prefer greener, innovative workplaces thereby making an impact on the world through their work. So they are bringing technology to the forefront to attract this talent.

While technology is not enough, using innovative technology solutions that augment #decisionmaking, participation in open platform development projects, promoting a culture of giving back and investing in training and education to bridge skill gaps will nurture younger talent and help them make a positive impact.

Inspired by: https://www.houstonchronicle.com/business/energy/article/Oil-and-gas-companies-shift-workplace-culture-13830711.php

codedata

With #3dprinting (also known as “Additive Manufacturing”) gathering mainstream momentum with #smartmanufacturing, researchers are quietly moving on to  #4dprinting – an extension of 3D printing which uses programmable material technologies that enable 3D-printed parts to transform their shape in response to external stimuli such as pressure, temperature and humidity.

Read on – yet another transformative technology brewing for #personalization in manufacturing and #smartsupplynetwork.

Inspired by: https://sloanreview.mit.edu/article/transforming-manufacturing-and-supply-chains-with-4d-printing/