WHS Plastics Move into Their Futuristic Warehouse
is a global manufacturer of plastic injection moulding products and has recently moved into their new state-of-the-art 75,000 sq ft facility in Minworth site in Sutton Coldfield, UK, to provide on-demand logistics services for carmakers like , , (JLR) and .
WHS also has many manufacturing operations in the UK, Ciro, Egypt and Runcorn, and most recently manufactured 100,000 plastic visors with JLR in response to the COVID pandemic.
Paul Nicholson, Group Managing Director at WHS Plastics Limited, said: “We are delighted to open our new national distribution centre here in the West Midlands. The development complements our hi-tech and automated production processes, thereby forming a key part of our future growth strategy to build upon our existing markets and open up new opportunities for the business going forward.”
Following the move, WHS is also on a recruitment drive to bolster its team of 15 staff members, and with a £500,000 racking system, semi-autonomous forklift trucks alongside the latest warehouse management system (WMS), designed to manage stockholding and inbound and outbound movements. It’s easy to see why the move is such a huge step-up for WHS.
The national distribution centre serves to replace three warehouses in total, with an effort to continuously enhance their services, grow market share and open up new business opportunities.
“We have been in the region for nearly 90 years, and this investment signals our intention to be here for a long time to come, supporting the automotive sector, which is a major contributor to the regional economy, and other industries. As a result of this investment, we are already seeing a growth in our pipeline, in new sectors, from garden to professional catering products” Concluded Paul.
Predictive Monitoring for Continuous Operations Management
Unplanned downtime and poor maintenance procedure can cost companies a lot of time and money.
For companies looking to set specific targets for cost efficiency, production output and quality control, the ability to predict how certain variables affect machines can aid success in reaching these targets.
Monitoring and remediation are important steps to optimize production, by adopting Predictive Monitoring, organizations can receive the ideal support to keep operations running efficiently, and ongoing maintenance to keep machines running at their best.
Predictive Monitoring is an AI driven method of production analysis. It uses metrics such as temperature and vibrations to determine when machines are working outside of their optimum conditions.
Around 98% of organizations report that a single hour of downtime can cost them over US$100,000, which highlights a significant cost implication that can be avoided with AI driven analytics.
TwinThread applications work with Predictive Monitoring to provide a network of data, which ensure machines work within their optimum conditions, for the best output.
Providing the Digital Tools
According to PwC’s ‘Digital Factories 2020’ report, “manufacturers’ adoption of machine learning and analytics to improve predictive maintenance will increase by 38% by 2022.” One of the main reasons for this, given by 98% of respondents, is to gain more efficiency through investment into digital factory solutions.
By learning what potential issues may occur if machines are not working to the correct standard, Predictive Monitoring systems work with TwinThread’s Predictive Asset Reliability application, which conducts an “automated root cause analysis” enabling the operator to analyze how the machine has fallen from its optimum conditions. Ultimately, any issues will be addressed much faster when predictive technology uses data to monitor variables.
“TwinThread’s Predictive Operations Center is making a big difference to our process engineers, giving them real-time feedback on the stability of our production,” said Domenic Verte, Manufacturing Application Manager at Toray.