<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=2581828&amp;fmt=gif">
Real-time OEE & Machine Utilisation Monitoring

Manufacturing Line Solution: increasing yields through improved machine utilisation.

The problem

Pasteurised whole milk has a shelf life of 12 to 14 days, whereas the shelf life of skimmed and flavoured milks is even shorter. Since dairy production operates on slim margins and there are few avenues for rework in a bottling plant, factories must process product quickly and with as little waste as possible.

Whilst many milk bottling facilities are technically advanced, due to having to meet the highest food handling standards, they do not necessarily have the money to invest in production and OEE monitoring. With that in mind, how can a bottler achieve real-time continuous monitoring so that they can improve overall profitability, all with minimal investment? Answer: our Manufacturing Line Solution.


Asset Intelligence Web

Manufacturing Line solution: get real-time overview of machine + production performance.

The solution

The Operations Management team at this production facility believed that additional operational improvements could be found on the bottling floor, but in order to achieve them, they needed access to real-time data, including information from different machines and automated downtime tracking.

We focused on delivering a Manufacturing Line solution - built on our integrated data, AI + IoT platform - to answer these questions quickly, but that could also provide a long-term path for performance measurement: at Rayven, our philosophy is always to start small, show a clear ROI fast, and grow over time.

Defining what data to collect is critical
We started by identifying the key metrics in order to achieve the desired business outcomes. In this Manufacturing Line solution these included:

  1. Production targets
  2. Machine status
  3. Downtime duration
  4. Downtime reasons
  5. Unit weights
  6. Target weights
  7. Production rate
  8. Production schedule.

Initial goals of the solution
The first goal of the project was to connect to the factory’s SCADA to the solution to ensure that the right data was collected in a consistent and reliable manner, and to ensure the data’s quality and integrity. In order to achieve this, we included these features in our Manufacturing Line solution:

  1. Monitoring of critical operational data via a web-based and mobile system
  2. Equipment monitoring in the  solution via the Citect SCADA
  3. Development of a secure, read-only connection for SCADA integration
  4. Creation of business logic for the application in-order to meet the Operation Management team’s objectives
  5. Notifications via email or SMS when there was downtime, or when throughput dropped below the hourly target
  6. Collection of historical data so that the business could start testing different logic to automate reasons for downtime
  7. Connection of the ERP system, to collect daily target information, as well as package weight and sizes
  8. Testing of the application, making sure all of the above goals are met.

Before setting the solution live, we tested four critical aspects of the Manufacturing Line solution:

Our integrated data, AI + IoT platform is built with security as a top priority.

Rayven’s proprietary security architecture ensures data is secure at all points of the environment. The Manufacturing Line solution includes data encryption in transit and is encrypted from device to cloud (device-dependent). Devices are authenticated using device keys (device-dependent) and 256-bit SSL encryption is used between end-user devices (PCs, tablets, mobile phones) and the cloud, which protects confidentiality, data integrity and availability. In transit from device to cloud, we have SHA-256 with RSA Encryption, automated at-rest encryption using 256-bit AES encryption (optional), and during use (from cloud to screen) SHA-256 with RSA Encryption.

The Manufacturing Line solution additionally conducts device security checks via automated polling and/or pull request as well as having security (Bearer) tokens that authenticate devices and services, meaning that keys don’t need to be sent on the network.

The production line’s supervisory equipment can directly impact product output and quality, so the connection between the Manufacturing Line solution and the machines needs be secure and omni-directional. To achieve this, we created a secure bridge from the supervisory equipment to the rest of the enterprise in order to maintain network isolation. By combining a secure and encrypted transmission path, together with a dedicated and direct connection (that eliminates connecting into the factory’s network), we were able to establish a fast and secure connection.

Data integrity
Establishing a continuous, reliable connection ensures that the data held within the solution is always up-to-date and that you can rely on it to make critical business decision in real-time. Because of this, it was critical for us to test that the data we were seeing on the factory floor 100% matched what we were seeing in the dashboards of the Manufacturing Line solution and that we created a back-fill capability so that data would still be received in sequence in the event that communication ever went down.

Industrial Data Science
The objective of exploratory data analysis was to observe trends in the data and compare them with what was happening on the factory floor, which included:

  1. Real-time calculation of ‘saleable volume’
  2. Real-time forecasting using a pitch chart of hourly bottles of milk based on real-time production throughput
  3. Output in litres and in bottles per minute, hour, day, and week
  4. Automated identification of downtime and downtime reason entry screens
  5. Analytics of downtime reasons and duration
  6. Production rate efficiency
  7. Monitoring of pasteurisation process and process tank volumes.

What’s next?

The outcomes derived from the Manufacturing Line solution include increased run time and throughput, with an additional gain expected as the team use the new metrics to track and improve changeover between products.

Create integration, real-time data + IoT solutions that improve your business.

Rayven Brochure Mar-23 - 400

Offer Industry 4.0-ready applications to your customers the easy way.

Rayven Partner Brochure FRONT HORIZONTAL 400

Key features of our Manufacturing Line solution.

All of these features were customised to fit the customers specific business objectives.

Real-time throughput

See the throughput of all your machines, continuously and in real-time.

Real-time Forecasting

Automated and real-time pitch charts show your exact performance and how far you have deviated from the target, helping you to forecast your end-of-shift output and take immediate action if production is lagging.

Alerts and notifications

Automate alerts and notifications with andons, emails and SMSs when critical parameters are breached.

Issue management

Develop and optimise Ensure your processes so that you can have the right people respond based on agreed protocols.

Automated reporting

We deliver real-time insights to your screen, but many times you want to review a scheduled report. These can be automated and delivered to your schedule to all or selected users.

Automated identification of OEE

Monitor rate losses, quality losses and production downtime with automated data collection, augmented by human-entered reason codes.

Our Real-time OEE & Machine Utilization Monitoring AI + IoT solution.

The Manufacturing Line solution is delivering real business outcomes.

Greater predictability Greater predictability

A better understanding of downtime and rate losses give greater predictability and confidence that production targets can be met (and increased).

Less wastage Less wastage

Understanding what causes rejects and how often they are occurring, as well as when, enables you to solve the root causes and increase yield.

Less downtime Less downtime

Assets need to sweat, you can ensure your production lines are up when they need to be by understanding, and acting on the root causes of equipment downtime.

Increased throughput Increased throughput

Optimised output rates, controlled unit weights, reduced downtime and less scrap all equal increased throughput.

Increased margins Increased margins

By maximising production uptime and material conversion, as well as minimising waste, means more profit for your business.

Better customer service Better customer service

Retail chains place high-demands on food and beverage suppliers. Ensure on-time order completion by increasing line OEE.

Did you know?


Pricing & plans

Simple, fair pricing that scales with your business model.



Rayven integrates with any asset, device or system.

4 Weeks

Solution live

Create a custom solution in weeks, not months.

2 Weeks

Demonstrate ROI

Discover opportunities for business improvement.

See Rayven in action

One of our data science, AI + IIoT specialists will contact you for a live one-on-one demonstration or to answer any questions.