search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
FEATURE Food & beverage


UPGRADE TO DIGITAL MAINTENANCE STRATEGIES UPGRADE TO DIGITAL MAINTENANCE STRATEGIES


Louise Liddiard, Key Account Manager Food & Beverage, Schneider Electric, explains  maintenance, using operational data to gain insights into 


D


igitalisation can achieve sustainability, resilience, and reliability for process industries such as water or food and


beverage processing. Integrating digital technology with brand new equipment can be more straightforward than working with legacy systems. Process industries typically face the challenge of digitalising legacy equipment on critical lines, which are often complex and cannot easily be shut down.


This challenge should not prevent leaders from pursuing operational excellence. By turning to a service partner, companies can draw on expertise, modernise their sites and shift legacy assets to condition-based maintenance (CBM). Many facility managers are dealing with complex electrical systems made up of both new and legacy assets. Issues with these systems often lead to unplanned downtime, a 2024 report by IMechE in collaboration with RS reported the biggest single cause of unscheduled downtime to be ageing assets, having increased from 28 per cent the previous year to 29 per cent. CBM involves gathering and analysing operational data to gain insights into equipment performance. Constant monitoring of key parameters such as vibration and temperature creates a baseline – and when data falls outside of the normal range, an operations team can plan to carry out maintenance activity,  a planned outage and before failure. This improves on traditional reactive maintenance, where operators wait for a part to fail before replacing it, and time- based maintenance, where operators use a calendar or schedule to plan maintenance tasks.


The advantages of CBM are that it can


reduce electrical failure and unplanned downtime by up to 75%, reduce overall downtime by up to 40% and extend asset lifespan. It also cuts the need for site visits as specialist service engineers will arrive on site with the right spares and tooling for the job.


20 January 2026 | Automation





 and operates 365 days per year. In April 2020 a short circuit inside an unmonitored section of the main substation resulted in a 14-hour shutdown, costing Nestlé approximately $588,000. Because this section wasn’t digitally connected, engineers were not alerted that equipment was at risk. To eliminate the risk, Nestlé has now moved


to a predictive maintenance approach by modernising their production equipment with sensors and subscribing to a service plan. This shift has helped the plant prevent multiple costly outages annually, while getting real-time remote visibility on asset health to achieve business continuity and increase operational 


This example shows that advanced digital capabilities are not limited to new assets. Best-in-class options can be applied to legacy equipment. CBM delivers the greatest value when applied to high-impact assets where  scheduled or reactive maintenance approaches can be used with non-critical systems. A service partner can provide support by deploying CBM on existing assets without the need for complete replacement. This enables businesses to access the full potential of legacy assets.





predictive maintenance is an audit to establish the type, age and criticality of systems.  a strategic roadmap for CBM adoption – a service partner can help to create a plan that is phased in line with the available budget. Both the food processing and water industries are highly regulated, and while 


around environmental protection that drives the need to maintain equipment properly. New legislation being introduced means that businesses must actively improve sustainability as well as meeting existing environmental rules. This presents challenges when reacting to legacy maintenance issues.


At the same time, cutting edge digital capabilities bring a need for new skills. It’s essential to combine the talents of apprentices and graduates with the knowledge of legacy equipment and processes held by experienced workers.


 way to address modernisation, sustainability, and the skills gap. A good service partner will unlock the full potential of connected products and systems by drawing on a team of experts with specialist knowledge. They can  advise, and empower teams to seek continuous improvement. Two other areas where a service can plug the skills gap is by delivering training to in-house teams and by pulling in engineers with specialist expertise for tasks where maintaining full-time specialist roles is neither 


 legacy equipment in the food and beverage and water wastewater sectors must not be overlooked. By embracing CBM and digital support from a service partner, organisations  and sustainability without replacing valuable systems. A whitepaper entitled ‘Embrace condition- based maintenance for your equipment’ is available on the Schneider Electric website now.


Schneider Electric www.se.com


automationmagazine.co.uk


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40