Sound Familiar?
- “How do we enable greating production with existing IT resources?”
- “We understand the benefits brought by technology, but how do we pay for it and who will implement the improvements?”
- "We have to improve supply chain visibility and collaboration to improve performance and drive down costs."
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Analytics in Manufacturing
Automation, the Industrial Internet of Things (IIoT), robotics, analytics cloud computing and more. Technology is advancing at warp speed and most manufacturers struggle to keep up let alone stay on the leading edge. By the time many IT departments have gone through the process of researching, getting approval, purchasing and installing new technology, a faster and more agile solution may emerge.
Legacy and homegrown systems are still relied on by the majority of manufacturing centres today, mainly because of they meet highly specific information needs.
The challenge is how to integrate legacy and homegrown systems with the latest applications and platforms, while still improving production quality and efficiency. Improving everything from quoting accuracy, order cycle times, product quality to perfect order performance is going to be one of the most challenging aspects of any manufacturing CIO’s job in 2018 and beyond.
Real-time monitoring of each machine on the shop floor will become more commonplace in 2018. Pilot programs using the Internet of Things (IoT)-based sensors are running in hundreds of manufacturing plants right now.
All of these efforts centre around how to get more value out of machine data and accurately predict when predictive maintenance is required. Machine data and manufacturing intelligence is a challenge for many CIOs to implement, however. The potential to predict production efficiency and improve customer responsiveness is going to make this area one of the most adopted as we approach 2020.
