Given the ever-changing nature of disruptions and the growing need for lean and agile operations, it is crucial for organizations to manage their assets through innovative maintenance strategy selection and reconfiguration. Maintenance Strategies and Contracts help streamline the decision-making process by responding to current asset performance and guiding appropriate actions to enhance it. In today’s unpredictable and highly competitive environment, continuous assessment techniques and strategies are vital for operational success. Developing strong assessment capabilities is essential for effective leadership.
The Big Data Analytics for Predictive Maintenance Strategies training course is designed to strengthen your decision-making skills in selecting suitable maintenance strategies using the Decision Making Grid (DMG) framework. Participants will learn how to apply assessment methods focused on identifying improvement opportunities through the use of key performance indicators (KPIs). These techniques will be practiced through group work and case studies. Attendees are encouraged to bring relevant organizational data, such as KPIs, ongoing improvement initiatives, CMMS data, mission and vision statements, or any other materials they wish to analyze using the assessment tools provided in the course.
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 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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