How prescriptive analytics can drive future MRO decision-making
An in-depth analysis of any situation, process, or event can help us to better understand what happened, why it happened, and what can be done to influence any future outcome. The arrival of Big Data, Machine Learning, and AI to the MRO industry, along with the practices of descriptive analytics, predictive analytics, and prescriptive analytics have paved the way for driving smarter business decisions that improve resource, labor, process, and maintenance optimization.
But what are these analytical techniques and what value can they offer to aircraft maintenance organizations?
Descriptive analytics visually illustrates what happened in the past. This can assist you in understanding past performance while allowing all stakeholders to interpret the data presented understandably. For example, in the case of MRO line managers and engineers, this can mean understanding that a certain process or phase of a process suffered from excessive manual down-time.
Predictive analytics can allow the introduction of variables to the MRO process which can then help predict what might happen in the future. Reducing the labor force required for a particular process may reduce, or increase the down-time factor, while also illustrating possible knock-on effects of this reduction in labor. Running a predictive analysis with multiple variables can help to further clarify and hone MRO processes
Prescriptive analytics, with the use of machine learning, can recommend actions to be taken to affect the required outcome. Predictive analysis can utilize all of the historical data, plus any introduced new variables to suggest various courses of action to improve the process in question and their probable outcomes. In the case of the down-time example, a prescriptive analysis may determine the optimum sized labor force to effectively undertake and execute the MRO process concerned and enhance future maintenance planning.
Sensus MRO has been specifically designed for aviation MRO organizations as a highly effective tool to assist in optimizing industrial processes using analytical technology and business intelligence. By providing in-depth insights into past, present, and future processes, Sensus MRO can work as a highly valuable tool that can lead to a decrease in AOG time and reduced maintenance costs – all key elements which can provide leverage on a prospective or existing client’s decision-making process.
In the constant struggle to eliminate fleet maintenance pain-points, Sensus MRO is an invaluable asset to MRO engineers, line managers, and decision-makers across the industry. Employing prescriptive analysis, Sensus MRO can quickly aggregate vast amounts of data coherently and logically, thus allowing decision-makers to identify opportunities for increased productivity, reduced costs, and a more effective product to offer clients and partners.
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