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Saturday, April 14, 2018

Industry 4.0 and Digital Asset Delivery

Industry 4.0 Challenges
In a 2017 article, Chemical Processing states that, while Industry 4.0 looks at the modes of production (such as moving toward modular production units for appropriate processes), the initial focus for IIoT tends to be more on connectivity, Big Data, and analytics to improve production asset availability and performance. Enter Digital Asset Delivery. This is about each asset original data (engineering), its lifecycle activity data (engineering, procurement, construction, commissioning and maintenance. It is also about “as - built” data.
All of this is Big Data.
And what about  connectivity? Design of  process, piping, electrical, instrumentation and telecommunication systems originate in different engineering applications and their inter - connectivity is missed. Yet, there are more connectivities. Business processes and work steps, data flows, applications and functional blocks, organizational structures reflected in business process modeling swimlanes. And there is more. Procurement and construction activities, cost data, schedules, etc. All these systems are interconnected and can be linked back to assets. Make them tags. How can all this data come together? How can Industry 4.0 be realized with so many silos of data and people? How can people collaborate under such circumstances? Can all this data be integrated into a single environment? How can this be done when in most cases it is not clean data and when there are inconsistencies all over the data? Such situations can not even facilitate data analysis. All this leads to analytical paralysis.
Digital Asset Delivery for Industry 4.0
Until now, there has not been a single framework that can bring together all tag - based, asset data and project activities information in near real time to serve Industry 4.0 initiatives.
Digital Asset Delivery gives the SIMPLIFY-INTEGRATE-COLLABORATE-ACHIEVE foundation for Industry 4.0 initiatives to bring the required asset and activity data in simplified forms, integrate it and serve users for collaboration over the lifecycle of any asset and in any project, for greenfield or brownfield, for small or megaproject. And this is done without  engineering  having to abandon their engineering tools.  Digital Asset Delivery targets collaboration tailored to Industry 4.0 requirements. This is about sharing all information from planning and scheduling of tag - based activities for engineering, procurement, construction and commissioning for electrical, mechanical, instrumentation, cables, piping, etc.  And for maintenance too. This is SIM - System Information Modeling. Each tag in the SIM has activities. And each activity complies to Deming’s  Plan-Do-Check-Act (PDCA) methodology, so that everyone can see, from anywhere in the globe, all information of who did what, when and how, under a sustainable governance framework.
Digital Asset Delivery combines tag data from all disciplines and tag activities to facilitate Industry 4.0 initiatives. Digital Asset Delivery takes into account all of the systems involved for all disciplines, their connectivities, involved people and departments, their workflows, associated documents and more. This is the Industry 4.0 System Information Model. And this is what saves cost, schedule and quality.
Where and how to start? Learn about Digital Asset Delivery, Industry 4.0 SIM, PDCA and SICA (SIMPLIFY-INTEGRATE-COLLABORATE-ACHIEVE) methodologies as part of an in - house  workshop towards achievement of excellence in asset and project lifecycle management, and, last but not least, for Industry 4.0 initiatives.