Author name: Jeremy Smith

MAx-4 controllers were among the earliest ELAU PacDrive M controllers, but were withdrawn from sale in 2010. Now, sourcing these controllers—as well as the necessary parts for repairs—is becoming increasingly difficult. While many MAx-4 units remain vital to production lines the risk of failure and prolonged downtime is growing. A proactive assessment of these risks […]

The integration of artificial intelligence (AI) into food and beverage manufacturing and packaging can offer transformative advantages. It can enable companies to increase efficiency, improve quality control as well as contribute to optimising operations overall. Here we will look at how it can support more effective maintenance strategies as well as on-line quality control. Predictive

Productivity is a key term in manufacturing and can be considered a measure of the output of individuals or teams. It is important because it reflects how a business is performing: the greater the output (goods and services) with less input (materials, labour and capital) the higher the productivity over a defined period of time.

The RS Components ‘Performance in Focus’ 2024 Maintenance Engineering Report, created in partnership with the Institution of Mechanical Engineers (IMechE), provides a detailed analysis of the current state of maintenance engineering with a particular focus on process manufacturing. This report draws on insights from nearly 400 maintenance professionals across the UK and Ireland, highlighting the

Do you know what like-for-like PacDrive spares you have on site? The importance of keeping like-for-like PacDrive spares on site is crucial for maintaining the efficiency of production lines. PacDrive systems are integral to many production lines and any disruption can lead to significant downtime. This in turn can have substantial financial implications. Downtime Costs:

There are various metrics used in manufacturing industry to aid maintenance planning. Amongst these are Mean Time To Failure (MTTF), Mean Time To Repair (MTTR) and Mean Time Between Failure (MTBF). Each of these describes a different aspect of an assets performance and each can provide important information regarding this. These can take on additional

Last summer we launched our 5% Challenge in which we aim to donate 5% of our profits to charitable causes, challenging others to do the same. One organisation we support is 1% for the Planet and one of our chosen charities within this is the Bedfordshire Great Ouse Valley Environmental Trust (BedsGOVET). Our support is

OEE (Overall Equipment Effectiveness) is really the pinnacle when it comes to measuring manufacturing efficiency. Productivity remains an important metric, but in the pursuit of excellence, OEE considers more factors. So how do they differ? Productivity is a key term in the workplace and can be considered as a measure of the output of individuals

Machine Learning (ML) for packaging line maintenance is beginning to be widely adopted. This is impacting techniques such as predictive maintenance, preventative maintenance and condition monitoring. The advancements as a result can lead to increased efficiency, reduced downtime and a significant saving costs. Each technique is looked at individually below to see how Machine Learning

Machine Learning (ML) is beginning to be widely used in the manufacturing industry. It is helping to automate tasks, gain insights from the vast amounts of date produced and aid data-driven decisions. But what is it, what types are there and what can it actually do? Machine Learning is a branch of AI which focuses