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Title: Development of a Maturity Scale for Mining Performance and Maintenance Analytics
Organization: Vale - The University of Queensland
Duration: 2019 to 2021
Business Challenges
Since the onset of the slump in commodity prices in mid-2012, the mining industry has sought to significantly enhance productivity
and lower labor and cost inputs. Most companies have progressed through two to three waves of cost-cutting exercises, with the result that much of the low-hanging fruit has been plucked, and further cost reduction demands the application of more innovative, more targeted thinking. As a result, there is currently a great deal of interest in implementing data analytics to improve equipment performance and reduce maintenance downtime and costs.
Suggested Solution
The potential exists for mining companies to contract expensive analytics programs only to be disillusioned by failing to create the magnitude of savings and performance gains promised. In response to these issues, Vale, in conjunction with the University of Queensland, has identified the need to develop a maturity model designed to be specific to the mining industry to assess mining companies' capabilities to use analytics to deliver performance improvements in the areas of equipment operations and maintenance. These areas have been selected as they are the current focus for many mining companies- to optimize costs and returns. This project developed a framework, approach, methodology, and tools for assessing the maturity of analytics solutions for the Australian and Brazilian mining industries, employed to enhance equipment performance and maintenance. A questionnaire will be developed and completed via telephone interviews with key personnel. Analysis of the collected information is expected to reveal a national picture of analytics take-up in the mining industry and the relative status of
individual participant companies.
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