Helping the packaging materials industry to digitise and optimise their factories

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Increased productivity and efficiency to do more for less

Connecting machines to an AI platform means manufacturers can start to see exactly what is happening, which machines are working optimally, which need maintaining, where workforces are being deployed and what needs attention. This intelligence can be used to improve both worker and machine productivity and increase efficiency across the entire factory.

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Better energy management for improved sustainability

When packaging manufacturers use ThingTrax, they get built-in energy usage monitors, allowing them to see where energy is being consumed, what levels they should expect and therefore identify any machinery not working at an optimum level. In doing so, they can improve the environmental impact of their production lies.

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Turning old factories into fully autonomous manufacturing hubs

By connecting machines and workers, packaging manufacturers are laying the foundations to create smart production facilities. Through the data they collect, they can implement machine learning to establish the environment required to unlock the potential of Real-Time Quality Management, Autonomous Shift Management and Autonomous Guided Vehicles.

Case Study

Helping a global packaging manufacturer to improve productivity

The challenge

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A US-headquarter packaging manufacturer needed to improve productivity to offset the rising costs of raw materials. It also wanted to improve the efficiency of its workforce, with talent becoming more expensive and simply hiring more staff a challenge.

How we helped

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Deploying ThingTrax’s Smart Manufacturing Platform with its integrated Smart Vision System, the manufacturer was able to determine which of its factories was most productive, down to individual machines. It also built a matrix of operator skills, identifying gaps and assigning additional training, which meant it could rapidly assign specialist teams when machinery broke down and redeploy other staff to minimise the impact of downtime.

The result

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By connecting its machines and workers, the manufacturer has unlocked savings of 60% across its day-to-day running costs, helping to improve its overall margins by combatting the impact of raw material expenditure.

Find out more about
becoming a smart factory