In today's fast-paced environment, where disturbances are constantly evolving and agility is key, companies must adopt innovative approaches to managing their assets through effective maintenance strategy selection and reconfiguration. The Maintenance Strategies and Contracts framework streamlines decision-making by responding to the current performance of assets and recommending the best actions to enhance that performance. Continuous evaluation techniques are critical to successful operations, especially in today's unpredictable and competitive landscape. Strong assessment skills are crucial for any leader aiming for success.
The Big Data Analytics for Predictive Maintenance Strategies training course is designed to enhance your ability to make informed decisions regarding maintenance strategy selection using the Decision Making Grid (DMG) model. Participants will learn how to apply assessment techniques focused on identifying improvement opportunities using a variety of key performance indicators (KPIs). These techniques will be practiced through case studies, group work, and overall analysis. Participants are encouraged to bring relevant information about their organization, such as KPIs, ongoing improvement projects, CMMS data, mission and goal statements, and any other relevant details they wish to apply in the assessment process.
This training course will highlight:
By the end of this training course, participants will be able to gain a detailed knowledge and skill towards operations and maintenance to enhance the existing skills in assessing the needs, selecting the best resources, managing operations and maintenance of systems and equipment and measure the performance of operations and maintenance providers. More specifically, at the end of this training course, you will learn:
This training course is suitable to a wide range of professionals but will greatly benefit:
This Big Data Analytics for Predictive Maintenance Strategies training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes hands-on, stimulating experience and using interactive user friendly decision analysis software. The training course is highly interactive with many discussion and facilitated practice sessions. Key points will be emphasised with case study examples. There will be a combination of presentation sessions and workshops during in this course.
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