MORE THAN MEETS THE EYE
Phil McClennon, CEO of industrial services
specialist Leadec, takes a look at the role industrial cleaning currently plays within the manufacturing sector, and explores how this will evolve.
Modern manufacturing is virtually unrecognisable from the noisy, smoky environs of the 1970s and ‘80s. The rise of smart technology and automation has had a transformative effect on production facilities, with industry 4.0 triggering a pace of change only set to accelerate as we edge towards 2020 and beyond.
This evolution has engendered a change behind the scenes of the industrial services required to keep factories running smoothly. Nowhere is this development more evident than with the cleaning provisions in place for manufacturing facilities. Regarded as the hidden hero of an efficient factory, cleaning methodologies have had to evolve in line with the technology within the facility. As production equipment becomes more specialist, lightweight and complex, so too must the processes in place to clean it.
OUTGROWING OUTSOURCING? At Leadec in the UK, we are already preparing for changes to the industrial cleaning outsourcing model, which has traditionally been the backbone of facilities management. A quick look at the headlines in 2018 alone shows that some outsourcing firms have been in the news for poor performance, debt and mismanagement. While this might lead people to believe the business model is close to collapse, the reality couldn’t be further from the truth.
Lessons from earlier this year will undoubtedly shape what the future holds for industrial cleaning. Looking ahead, we expect manufacturing businesses will place greater focus on the quality of service provided by an outsourced partner, as opposed to just price alone. This will play a pivotal role in avoiding a ‘race to the bottom’ approach to outsourcing, which prioritises low cost above quality, enabling quality service providers to stand out in the marketplace.
This emphasis on quality will be increasingly pivotal as manufacturing environments evolve and integrate more smart technology into their day-to-day operations. Poor quality facilities management in manufacturing operations can have a direct impact upon productivity and has even been known to cause temporary disruptions. These kinds of issues will only be amplified further within the smart factory, which is reliant on cohesive relationships from machine to machine.
While generalists might offer their services at rock-bottom prices, it’s very much a case of ‘you get what you pay for’.
38 | INDUSTRIAL CLEANING
Manufacturing businesses will start to look for more than just low cost from their external partners, moving more towards a value-driven model wherein quality of service is the main decision driver.
COLLABORATION IS KING While technology is evolving apace across all manufacturing sectors, some businesses are naturally more ahead than others. One industry at the forefront of embracing smart technologies is automotive. Perhaps not surprisingly, vehicle manufacturing facilities are among the most technologically advanced in the world. Such machinery has led to advancements in the cleaning provisions for these factories.
At Leadec, we work alongside some of the world’s leading automotive manufacturers, and have seen first-hand how cleaning processes have had to evolve to meet factory requirements. Whether it’s having to clean intricate, sensitive machinery and areas or work to increasingly tight turnarounds, our working practices have been shaped by the changing factory environment.
As workspaces adapt, so must the industrial cleaning provisions businesses have in place. Thankfully, there is help at hand for businesses looking to integrate robust FM into increasingly smart or automated facilities. By working with specialist external suppliers, businesses can benefit from experience gained across a multitude of sectors, bringing the intricacy and effectiveness of automotive- specialist industrial cleaning to other fast-paced industries.
www.leadec-services.com/uk twitter.com/TomoCleaning
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