Manufacturing

IoT is changing the way manufacturing organizations create value

Share this post:

IoT for manufacturing can help transform your business by applying industry-leading analytic and cognitive capabilities. This can help quality, operations, warranty and maintenance personnel obtain greater value from production assets and processes. To capture the potential of the cognitive manufacturing transformation, we focus on three key pillars of manufacturing that drive the highest improvement.

1. Intelligent assets to optimize ‘things’ or equipment on the plant floor. Intelligent Asset and Equipment focuses on making the equipment on your shop floor smarter; more reliable, and perform optimally so you can reduce downtime and increase performance.

  • Prevent production delays and improve line performance with better asset visibility
  • Reduce equipment downtime and increase process efficiency with industry models
  • Expedite equipment repairs through predictive and cognitive analytics.

Whether you have PLCs (programmable logic controls) or sensors or manufacturing gateways, Watson IoT can help you bring that data together so that you can visualize the effectiveness of your equipment. Beyond just visualization, you can take advantage of advanced analytics that can provide predictions based on specific use cases such as maintenance or quality.

2. Cognitive process and operations optimize processes to drive higher yield.

  • Increase yield of your manufacturing operations and processes
  • Improve productivity of your manufacturing line with early quality detection
  • Expedite service calls and repairs and reduce warranty costs.

It’s all about discovering insights on your current process so that quality issues are addressed early in the manufacturing process – significantly lowering costs of production and maximizing raw materials. You can apply quality and warranty analytics that can detect the correlation between many variables that contribute to process failure or quality issues. These predictions are far superior to SPC (Statistical Process Control) and can provide a prediction of failure earlier than SPC, allowing proactive administration of actions that avoid loss when the failure occurs.

3. Smarter resources utilizes IoT and cognitive insight to optimize the resources engaged around production, whether that’s keeping production line workers safe, improving the expertise of the entire workforce or optimizing energy consumption.

  • Improve worker safety and gain better workforce management
  • Increase worker productivity and expertise
  • Reduce energy consumption of your facilities and buildings.

These advancements in IoT for Manufacturing are driving greater operational efficiency and uptime, and providing a new level of visibility into assets, and the ability to manage these assets in real-time. Leading manufacturers are integrating analytics, Industrial Internet of Things (IIoT) and cognitive computing with production to increase flexibility, speed and quality. Early adopters of cognitive manufacturing are both moving aggressively to implement new technologies, and importantly, using a strategy to guide their efforts.

To find out how you can leverage cognitive IoT solutions to transform manufacturing, check out the IBM Watson IoT Manufacturing page.

More Manufacturing stories
By Sarah Dudley on May 30, 2018

See it in action: robots, IoT and AI unite for optimized operations

How can you improve quality, prevent downtime, and increase throughput in your manufacturing environment? The obvious answer. You bring in a robot (meet ARMonk, ARMie for short), the Internet of Things (IoT), and artificial intelligence (AI). In the series of short demo videos below, ARMie will team up with a series of experts to show you examples […]

Continue reading

By Dr. Stephan Biller on April 24, 2018

How to get started with AI-powered manufacturing

In a recent post, I examined how AI-powered manufacturing solutions enable manufacturers to aggregate data from multiple sources and apply AI for better outcomes. Now, it’s time to talk about how. Below, I have some recommendations on how to begin your AI-powered manufacturing journey. Start small, start anywhere, start now Some manufacturers are put off […]

Continue reading