Certified Specialist Programme in Lean Maintenance Planning for Smart Manufacturing
-- viewing nowLean Maintenance Planning is a strategic approach to optimize maintenance operations in smart manufacturing environments. This programme is designed for maintenance professionals and production managers who want to improve efficiency, reduce costs, and enhance overall performance.
6,771+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
By adopting Lean principles, participants will learn to analyze and optimize maintenance processes, implement effective scheduling and planning tools, and develop a culture of continuous improvement.
Through a combination of theoretical knowledge and practical applications, learners will gain the skills and expertise needed to implement Lean Maintenance Planning in their organizations.
Join our Certified Specialist Programme in Lean Maintenance Planning for Smart Manufacturing to take your career to the next level and stay ahead of the competition.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
Lean Maintenance Planning Fundamentals: This unit covers the basic principles of lean maintenance planning, including the importance of preventive maintenance, total productive maintenance (TPM), and the role of maintenance in overall business strategy. •
Smart Manufacturing and Industry 4.0: This unit explores the concepts and technologies underlying smart manufacturing, including the Internet of Things (IoT), artificial intelligence (AI), and data analytics, and how they impact maintenance planning. •
Maintenance Planning and Scheduling: This unit delves into the specifics of maintenance planning and scheduling, including the use of computerized maintenance management systems (CMMS), work order management, and the importance of flexibility and adaptability. •
Asset Performance Management (APM): This unit focuses on APM strategies and techniques for optimizing asset performance, including predictive maintenance, condition-based maintenance, and the use of data analytics to drive decision-making. •
Lean Maintenance Planning for Smart Manufacturing: This unit applies lean principles to maintenance planning in a smart manufacturing context, including the use of visual management, continuous improvement, and the elimination of waste. •
Maintenance Workforce Development: This unit addresses the importance of developing a skilled maintenance workforce, including training and development programs, workforce planning, and the use of technology to support maintenance personnel. •
Condition-Based Maintenance (CBM): This unit explores the principles and practices of CBM, including the use of sensors, data analytics, and predictive maintenance to optimize asset performance and reduce downtime. •
Maintenance Cost Reduction and Optimization: This unit provides strategies and techniques for reducing maintenance costs and optimizing maintenance performance, including the use of lean principles, cost-benefit analysis, and the elimination of waste. •
Integration with Enterprise Asset Management (EAM): This unit discusses the integration of maintenance planning with EAM systems, including the use of data analytics, workflow management, and the importance of aligning maintenance with business objectives. •
Lean Maintenance Planning Tools and Techniques: This unit covers the various tools and techniques used in lean maintenance planning, including the use of value stream mapping, root cause analysis, and the 5S methodology.
Lean Maintenance Planning Fundamentals: This unit covers the basic principles of lean maintenance planning, including the importance of preventive maintenance, total productive maintenance (TPM), and the role of maintenance in overall business strategy. •
Smart Manufacturing and Industry 4.0: This unit explores the concepts and technologies underlying smart manufacturing, including the Internet of Things (IoT), artificial intelligence (AI), and data analytics, and how they impact maintenance planning. •
Maintenance Planning and Scheduling: This unit delves into the specifics of maintenance planning and scheduling, including the use of computerized maintenance management systems (CMMS), work order management, and the importance of flexibility and adaptability. •
Asset Performance Management (APM): This unit focuses on APM strategies and techniques for optimizing asset performance, including predictive maintenance, condition-based maintenance, and the use of data analytics to drive decision-making. •
Lean Maintenance Planning for Smart Manufacturing: This unit applies lean principles to maintenance planning in a smart manufacturing context, including the use of visual management, continuous improvement, and the elimination of waste. •
Maintenance Workforce Development: This unit addresses the importance of developing a skilled maintenance workforce, including training and development programs, workforce planning, and the use of technology to support maintenance personnel. •
Condition-Based Maintenance (CBM): This unit explores the principles and practices of CBM, including the use of sensors, data analytics, and predictive maintenance to optimize asset performance and reduce downtime. •
Maintenance Cost Reduction and Optimization: This unit provides strategies and techniques for reducing maintenance costs and optimizing maintenance performance, including the use of lean principles, cost-benefit analysis, and the elimination of waste. •
Integration with Enterprise Asset Management (EAM): This unit discusses the integration of maintenance planning with EAM systems, including the use of data analytics, workflow management, and the importance of aligning maintenance with business objectives. •
Lean Maintenance Planning Tools and Techniques: This unit covers the various tools and techniques used in lean maintenance planning, including the use of value stream mapping, root cause analysis, and the 5S methodology.
Career path
**Certified Specialist Programme in Lean Maintenance Planning for Smart Manufacturing**
**Career Roles and Statistics**
| **Maintenance Planner** | Plan and coordinate maintenance activities to minimize downtime and optimize resource allocation. |
| **Supply Chain Manager** | Oversee the planning, execution, and delivery of supply chain operations to ensure timely and cost-effective delivery of products. |
| **Quality Engineer** | Develop and implement quality control processes to ensure products meet customer requirements and industry standards. |
| **Lean Specialist** | Implement lean principles and tools to eliminate waste, reduce variability, and improve flow in manufacturing processes. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
CERTIFIED SPECIALIST PROGRAMME IN LEAN MAINTENANCE PLANNING FOR SMART MANUFACTURING
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
