Manufacturing

Typical manufacturing environments can include traditional factories and production lines, as well as farming and even hospital settings.

The key is the reliance on a standardized production environment which maximizes process efficiencies, resource utilization, and optimal output.

Benefits of IoT in Manufacturing

Manufacturers can gain a comprehensive view of what is going on at every point in the production process. Using real-time production dashboards, adjustments can be made to machinery use or current processes to reduce or eliminate interruptions to workflow. Worker health and safety, and automated quality control are also key considerations.

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Operations optimization

Making the various processes within the manufacturing facility more efficient.

This includes using sensors, rather than human judgment (and human error), to adjust the performance of machinery. It also involves use of data from production machinery to adjust workflows. This is done by remotely tracking, monitoring, and adjusting machinery based on sensor data from different parts of the plant (and even across plants). Bottlenecks can be identified and adjustments made to workflow volume and speed to create more consistent output without huge lead and lag times.

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Predictive maintenance

Through the use of sensors, machinery can be monitored continuously to avoid breakdowns and to determine when maintenance will be required, rather than relying on regularly scheduled maintenance routines that might be out of sync with the machine’s actual need.

Using a condition-based maintenance approach in conjunction with real-time monitoring can reduce machine costs by addressing problems immediately.

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Inventory optimization

A large portion of a company’s resources and working capital can be tied up in raw materials or finished goods that require manual oversight.

Warehousing and logistics of inventory management across different geographic locations creates risk that raw materials will expire or be lost in the warehouse. Sensors placed on either individual items or on boxes or pallets can track parts down to their specific location, provide real-time data on inventory levels, and allow for condition-based re-ordering.

Here’s how it works

Buddy’s IoT Data Graph is a cloud-based data collection and processing exchange that securely stores, manages, streams, processes and translates raw device data for delivery to the world’s most popular business systems. Now you can capture key remote intelligence and stream it in real time, at high velocity and in high volume.

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Connect

Just a few lines of code connects devices to Buddy Platform, no heavy agents or proprietary silicon requirements necessary. This model allows any connected device to send data to Buddy, helping to gain intelligence from sensors already deployed, and ones that soon will be.

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Process

Buddy can translate raw data into seamless connections to gain valuable insight through actionable business and customer intelligence. This includes functionality for custom analysis in the cloud, and two way communication between devices, or from your business systems back to the devices themselves.

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Integrate

Once data is normalized with Buddy, it can be sent to a wide variety of business systems for rich visualization, connecting to machine to machine systems, or deep analysis with big data systems like Hadoop. Easily integrate data into everything from Splunk, Salesforce, Microsoft Dynamics, ZenDesk, Tableau and beyond.