Certificate in Smart Maintenance: Results-Oriented

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The Certificate in Smart Maintenance: Results-Oriented course is a comprehensive program designed to equip learners with the essential skills needed to excel in the rapidly evolving field of smart maintenance. This course is critical for professionals seeking to stay updated on the latest industry trends and advance their careers in maintenance management.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In this course, learners will gain an in-depth understanding of predictive and prescriptive maintenance strategies, condition monitoring, and data analysis techniques. They will also learn how to leverage cutting-edge technologies such as IoT, AI, and machine learning to optimize maintenance operations and improve equipment performance. With a strong emphasis on hands-on learning and real-world applications, this course will prepare learners to implement smart maintenance strategies in their organizations, leading to reduced downtime, increased productivity, and improved bottom-line results. By completing this course, learners will demonstrate their commitment to staying at the forefront of maintenance management and position themselves as leaders in their field.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ใ„ใคใงใ‚‚้–‹ๅง‹

ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Smart Maintenance: Understanding the concepts and benefits of smart maintenance, its role in increasing efficiency and reducing costs.
โ€ข Predictive Maintenance Technologies: An overview of sensors, IoT devices, and data analytics tools used in predictive maintenance.
โ€ข Data Analysis for Predictive Maintenance: Techniques for analyzing data to predict equipment failures, including machine learning and statistical methods.
โ€ข Condition Monitoring: Strategies for monitoring equipment conditions and detecting anomalies, including vibration analysis and thermography.
โ€ข Work Management in Smart Maintenance: Best practices for work management in a smart maintenance environment, including work orders, scheduling, and inventory management.
โ€ข Smart Maintenance Case Studies: Real-world examples of successful smart maintenance implementations, highlighting the challenges and benefits of each.
โ€ข Smart Maintenance and Industry 4.0: The relationship between smart maintenance and Industry 4.0, including the role of digital twins and other emerging technologies.
โ€ข Change Management for Smart Maintenance: Strategies for managing change and overcoming resistance to new technologies and processes in a maintenance organization.

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN SMART MAINTENANCE: RESULTS-ORIENTED
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
ใƒ–ใƒญใƒƒใ‚ฏใƒใ‚งใƒผใƒณID๏ผš s-1-a-2-m-3-p-4-l-5-e
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