PC-DEC21-PG32.1_Layout 1 04/01/2022 10:18 Page 32
FOOD & BEVERAGE
A PREDICTIVE MAINTENANCE SWEET SPOT
British Sugar is making use of Infor EAM to move to a predictive maintenance model, which helps reduce downtime, maximise quality and minimise risk
tonnes of sugar beet and produces around 1.2 million tonnes of sugar each year. The company has invested £250million over the last five years into transforming its four UK sugar factories into digitally enabled manufacturing plants. Its Factories of the Future deliver over 50% of the UK’s demand for sugar. Sugar processing is complex, energy-
W
intensive and takes place across 42 weeks of the year from September, following the sugar beet harvest from across East Anglia and the East Midlands. Once harvested, crops travel to one of four sites in Bury St Edmunds, Cantley, Newark or Wissington, before being washed and processed. The sugar beet is then sliced into thin strips
called cossettes and mixed with hot water to extract the sugar, while lime solution removes any impurities, creating a syrup. The syrup is then filtered, heated, concentrated and seeded with tiny sugar crystals, which then grow into the required size prior to being washed, dried and cooled. The scale and specialist capabilities of
equipment involved in this process means that effective maintenance is crucial to optimise availability throughout the autumn/ winter processing window. British Sugar has relied on Infor EAM for
many years to support its maintenance operations, and recently embraced the benefits of multi-tenant cloud to enhance its safety, reliability, productivity, efficiency and engineering productivity. The shift helps British Sugar move from a
planned maintenance model to a predictive maintenance one, which reduces downtime, maximises quality and minimises risk. In order to realise the potential of a
predictive maintenance model, optimise benefits, and deliver against Industry 4.0 and IIOT principles, including sensor-derived insights, connectivity across the company’s
ith factories that were first built over 100 years ago, British Sugar processes around eight million
core systems is paramount. Because British Sugar’s sites are all in rural
areas, network reliability represented a barrier to achieving a truly connected enterprise as the digital enablement was deployed. To address the challenge, the company is installing private mobile networks to ensure secure, high performance, robust connectivity. These networks are crucial as British Sugar
deploys Infor Mobile, which allows Infor EAM to be used by those on the shop floor, irrespective of site or location. Having access to the depth and breadth of maintenance- focused insights within Infor EAM at the source, or machine, means that British Sugar plant employees can observe, record, input and retrieve insights in the moment. Previously, they had to make notes manually, risking time lags and errors. “As a large site, the time taken to walk
around a plant, make notes and return to an office is not insignificant,” commented Nick Smalley, programme manager, British Sugar. “Running Infor EAM on mobile devices not only provides us with a modern, real-time way of working, but can save hours potentially in a single day. “We can also use mobile applications to
contact remote specialist support at the site of respective equipment, which helps to demonstrate the specifics of the issue and expedites fault resolution. “Through being able to access high quality
information, such as a full equipment record, comprising work orders, plant history and supporting information, we can quickly complete details and take action immediately.” Not only does the software improve
accuracy, efficiency and reduce risk, it also helps British Sugar to attract new talent, which is important to the company strategically.
32 DECEMBER 2021/JANUARY 2022 | PROCESS & CONTROL Sustainability is at the forefront of British
Sugar’s strategy. Sugar beet travels on average just 28 miles from farm to factory. As part of its Factory of the Future investment, supported by Infor EAM, its operations are efficient, as illustrated by less than 200g of waste for every tonne of sugar produced. This is because process outputs are used to make products including aggregate, topsoil and animal feed, thus making the best use of all available resources to minimise cost and operate efficiently and responsibly. “Infor EAM is one of our core pillars moving
forward, helping us to take our maintenance practices to the next level, consolidate our predictive maintenance model, and use EAM as a springboard from which to capitalise on new technologies. There are a million different ways to use the insights Infor EAM provides us with. Specific initiatives we’ve earmarked as having a great deal of potential include using AI to analyse sensor information and raise work orders automatically; supporting resource planning to refine skills utilisation and uphold stringent safety parameters; and integration with British Sugar’s ERP system to automatically order spare parts, streamline inventory and assume greater control of stock,” Smalley concluded. “As our Factory of the Future evolves, we
look forward to Infor EAM evolving with us.... Today, we’re excited to embrace an era where sensors and AI can help us to realise a truly proactive, predictive maintenance model which not only helps us to maximise uptime and quality, but also capitalise on IIOT and Industry 4.0. Infor EAM will help ensure that we make the right capital investments to avoid unnecessary spending.”
Infor EAM (Enterprise Asset Management)
www.infor.com
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 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66