Integrating data from machines, OT systems and enterprise systems on the Factory Floor is a big topic within Industry 4.0. There is a philosophy that intelligent integrations with logic, including machine learning, can be done on the shop floor.
A week ago, I posed a question to the LinkedIn community, my network and several related manufacturing groups. I have a question to ask. What is your greatest impediment to implementing Industry 4.0?
The challenge is to find a manufacturing operations management system which does not repeat the failures of its predecessors in an over complicated, super flexible implementation. A system with proven structure, because all manufacturing falls into certain categories and processes, and the adaptive flexibility to mimic your process without limiting the ability to further adapt. Yet it also must be designed to scale, adapt, and evolve, without a huge direct development penalty.
When a company is considering how to engage in Industry 4.0 and IIoT to facilitate manufacturing they are faced with several aspects to such an endeavor. Every software system has areas in their feature-set and functionality which do not necessarily meet all the expectations of the end-users, hence a Gap.
There is no argument that Digital manufacturing, Data-Driven Manufacturing, MTConnect, Industry 4.0 and IIoT are here to stay and is mature enough to be considered beyond the early adopter phase, yet companies of all sizes are still treating the adoption of these technologies as the wild west. Due diligence in assessing an approach to employing and applying disruptive technologies is essential before committing a company to a direction.
MEMEX, with its visionary attitude, has been on the leading-edge of the convergence of the industry trends in Computing Power, Connectivity of Machines, Industry Standards, Advanced Software Technology, and Manufacturing Domain Expertise. MEMEX is the developer of MERLIN, an award winning IIoT technology platform that delivers tangible increases in manufacturing productivity in real-time.
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