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As MOVUS rolls out scaled FitMachine deployments, our team gets to hear many stories about how our customers are using FitMachine and the business value they get out of our solution.
We’ve learnt a lot in the past few years from our existing dashboard and its use with our customers. As MOVUS continues to scale to larger customers with bigger FitMachine fleets, we thought it was the right time to roll out an update to the Customer Dashboard that will lay a strong foundation for future growth.
MOVUS, developer of world-leading continuous condition monitoring solution FitMachine, and global IT Solutions provider Denver, have announced a strategic partnership to automate the input of real-time asset condition data into Enterprise Asset Management systems like IBM Maximo. Maintenance, reliability, production and operations managers can now access new data-driven insights on asset performance for faster decision-making.
The Australian gas industry has never been in a better place, with the nation now occupying the top of the podium of gas exporters, followed by Qatar and US (1). This is an amazing achievement we can and should be proud of, but obviously resting on our laurels won’t keep us in the leadership seat.
We’ve been busy over the last few weeks undergoing testing of the FitMachine for the FCC and CE certification process. For those not familiar with these certifications the FCC, or Federal Communications Commission, is an independent government agency in the United States which regulates wireless communications in the country, as well as other forms of communication. CE is similar but for Europe, with the difference that it’s not an organisation, but a set of standards which your product must adhere to if you want to sell it in the EU.
MOVUS was founded by CEO Brad Parsons in January 2015, initially starting out of The University of Queensland’s iLab, a supporter of technologically cutting-edge entrepreneurial start-up businesses. MOVUS’ flagship product, the FitMachine, provides an end-to-end equipment monitoring solution for industrial machinery using the latest machine learning and artificial intelligence technologies.
According to the Australian Industry Group (Ai Group), our national Manufacturing industry has been expanding consistently with 25 months of uninterrupted growth (1), the longest run since 2005. On the other hand, it is no secret the sector is under pressure to transform. Traditional production methods and business models are being disrupted as digital technologies advance the capabilities of the industry.
The current shift from Preventive to Condition-Based Maintenance (CBM) deserves some reflection. Until recently, CBM required the implementation of costly monitoring equipment and skilled technical analysts to be effective, limiting its application. The development of low cost machine condition sensors coupled with artificial intelligence is disrupting the industry and re-writing the rules of maintenance regimes.
Technology continues to be a key component of MOVUS’ market leadership and our investment remains strong. The latest release of our FitMachine technology stack has several exciting new developments, with more on the way. In brief,
Many maintenance staff in process industries have stressful jobs. They must constantly seek to balance the opposing requirements of maximising production and machinery up-time, whilst simultaneously minimising unplanned downtime with its associated loss of production, generally within a fixed maintenance budget. Traditionally this has involved, as a minimum, a scheduled maintenance plan for all machines that directly affect production if they fail, or need to be stopped for scheduled maintenance.
