Writtten by: Melissa Teo, Senior Marketing Manager, Groundup.ai
In a world where speed and efficiency are paramount, unexpected equipment failures can grind a manufacturing operation to a halt. For the Coca-Cola Bottling Company of Saudi Arabia, with its state-of-the-art plant in Sudair, the challenge was clear: how to maintain world-class efficiency and eliminate unplanned downtime on its high-speed production lines. The answer, as shared by Coca-Cola’s Mohammed Wasfi Al Asi in a recent webinar, lies in embracing advanced technology and shifting from reactive repairs to “Cognitive Maintenance.”
The Coca-Cola Sudair plant is an impressive facility, a mega plant with six high-speed production lines built to global standards. It operates almost 24/7 during high seasons, making any disruption a costly affair, not just in terms of lost production, but also in reputational damage and potential stock issues for its 24 distribution centers across the Kingdom.
The Problem: The Cost of Unplanned Downtime
Despite a culture of continuous improvement and adherence to manufacturer-recommended maintenance schedules, unplanned breakdowns remained a significant risk. As Wasfi explained, these unexpected stoppages were a result of:
- Lack of an early warning system.
- Heavy reliance on manual inspection.
- Inefficient spare parts planning, leading to high inventory costs.
The team recognized that traditional online monitoring, while helpful for tracking performance, wasn’t enough. They needed real-time, predictive insights to act before a problem escalated.
The Solution: A Pilot with Groundup.ai
To address these challenges, Coca-Cola partnered with Groundup.ai for a pilot project. They chose their most high-stress production line, the can line, which produces up to 120,000 cans per hour and handles a large number of different products.
By installing Groundup.ai’s proprietary IoT sensors on critical motors, pumps, and blowers, they could monitor machine health in real-time, 24/7. These sensors, which are easy to deploy with no modifications to the existing machinery, detect abnormal vibrations, sounds, and temperatures. The data is then fed to Groundup.ai’s platform, providing actionable alerts with root-cause analysis.
The Results: A Clear ROI and a Strategic Advantage
The pilot quickly proved its value with two significant real-world examples:
- Transfer Pump #1: An alert from the system allowed the maintenance team to identify and fix an abnormal condition during a scheduled off-time. This single intervention saved the company 8 hours of unexpected downtime and the associated labor costs, not to mention avoiding a major loss in volume.
- Transfer Pump #2: A similar alert on a different pump prevented a breakdown, saving another 3 hours of unplanned downtime.
Mohammed Wasfi emphasized that these savings are more than just numbers; they represent a “strategic advantage.” By moving away from reactive maintenance, Coca-Cola can improve efficiency, reduce costs, and ensure a more reliable supply chain, solidifying their competitive edge.
This success story is a powerful testament to the value of new technology. It proves that by starting with a focused pilot and demonstrating a clear return on investment, manufacturers can gain buy-in from leadership and begin a transformative journey toward a smarter, data-driven future.
Want to see results like Coca-Cola? Let’s talk about eliminating downtime for good. Reach out for a discovery session with our team.
