There is significant value to be gained on the journey to digital transformation and substantial productivity gains to be realized, but only by taking a hard look at both the cultural and the technological constraints that inhibit most manufacturing organizations from achieving great, sustainable outcomes on this journey.
Two decades after automation networks on the plant floor became ubiquitous, it’s still generally true that information accessibility between plant floor devices — and the people and systems that can create new value from them — proves to be a significant challenge.It’s clear that we need a fresh paradigm to enable the real-time flow of information throughout the manufacturing enterprise to truly capitalize on technology innovations such as predictive analytics, machine learning and digital transformation.
Let’s take a hard look at the underlying root causes for this phenomenon.
I contend that digital transformation can be the catalyst to align these essential elements – culture and technology – as a foundational enabler for value creation, empowering both sets of stakeholders, OT and IT, to collaborate and solve the “here and now” problems that arise in the plants, as well as the long term strategic initiatives so essential to achieving the anticipated productivity gains.
The first objective on this journey is to remove the complexity and domain expertise required to access plant floor devices and systems.
Getting at a sensor, a variable frequency drive, a PLC, a historian, etc., should be no more difficult than connecting to a printer. This would greatly enhance the velocity of plant floor data throughout the enterprise, making it available for anyone to generate new insights and create value and dramatically reduce the time and skill set required to be effective solving big manufacturing problems.
This is truly about enabling all OT and IT practitioners to access all the plant floor devices and systems they need and use the tools they’re already comfortable with (Cortana Analytics, Power BI, Azure Machine Learning, etc.) to interact with the data and create the outcomes they’re seeking.
Rockwell Automation takes a highly innovative approach in this area. We’ve built a device analytics appliance designed to auto-discover plant floor devices on your automation network (sensors, controllers, drives, overloads, etc.), reach into an extensive library of device objects (digital twin) and create a rich data model for those devices consisting of:
The exciting result is that we’ve been able to encapsulate and digitize the key attributes of these devices – and expose all relevant content for that device via a well-documented data model.
What this means is that a whole new set of stakeholders can get access to the data from these devices using standard, well-understood technologies. This is a big step on the journey to digital transformation!
Please come see these exciting new capabilities at the Microsoft and Rockwell Automation booth at Hannover Messe 2017!