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As part of their digital transformation strategy, Select Plant Hire has partnered with MachineMax to develop data technology that improves the productivity of its on-site equipment.
Working together, Select Plant Hire and MachineMax have developed technology that pulls data from all equipment and consolidates it into one reporting channel. The streamlined, unique solution allows Select’s customers, whether on-site or via remote access, to monitor data such as; wind speed, weight, utilisation and fuel burn of equipment. The technology also provides the capability for customers to track all equipment while on site.
The tailored approach provides relevant data to the on-site team and supports remote users in understanding what is happening on the ground, improving the ability to make decisions in real-time and drive efficiencies in equipment use.
Alex Warrington, Business Unit Leader at Select Plant Hire
”The rapid development of modern technology is pushing the construction industry to become more innovative. At Select Plant Hire, we made the decision to digitalise our fleet through MachineMax who have been able to support our ambition to provide teams, on the ground and in the office with immediately accessible, real-time data showing plant performance.”
Shweta Saxena, CPO at Machine Max
“Select Plant Hire has been wonderful to work with, they are a company that is transforming through the use of technology and we are proud to be part of their journey. Working with experts like Ed Jones and Stephen Bradby, who have such a wealth of knowledge on cranes, has allowed us to develop some really pioneering user applications which will deliver huge benefits to their customers and the wider industry.”
Kate Stephen, Lead Designer at Machine Max
“Through our work with Select Plant Hire and Laing O’Rourke, we’ve been able to increase the depth of data we can surface to sites. We’ve worked together to model a new idle metric for cranes, which is calculated based on a combination of movement and weight. We’re also incorporating contextual factors such as wind speed, enabling greater understanding of the reasons behind variable productivity of equipment on site.”
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