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| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 900USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 21/09/2026 to 25/09/2026 | Nairobi | 1,500 USD | Register |
| 21/09/2026 to 25/09/2026 | Mombasa | 1,750 USD | Register |
| 21/09/2026 to 25/09/2026 | Dubai | 4,900 USD | Register |
| 19/10/2026 to 23/10/2026 | Nairobi | 1,500 USD | Register |
| 19/10/2026 to 23/10/2026 | Mombasa | 1,750 USD | Register |
| 16/11/2026 to 20/11/2026 | Nairobi | 1,500 USD | Register |
| 16/11/2026 to 20/11/2026 | Mombasa | 1,750 USD | Register |
| 16/11/2026 to 20/11/2026 | Kigali | 2,500 USD | Register |
| 21/12/2026 to 25/12/2026 | Nairobi | 1,500 USD | Register |
| 21/12/2026 to 25/12/2026 | Dubai | 4,900 USD | Register |
| 21/12/2026 to 25/12/2026 | Mombasa | 1,750 USD | Register |
| 18/01/2027 to 22/01/2027 | Nairobi | 1,500 USD | Register |
| 15/02/2027 to 19/02/2027 | Nairobi | 1,500 USD | Register |
| 15/03/2027 to 19/03/2027 | Nairobi | 1,500 USD | Register |
| 19/04/2027 to 23/04/2027 | Nairobi | 1,500 USD | Register |
Course Introduction
Electrical Maintenance Planning and Scheduling Training Course provides participants with comprehensive knowledge and practical skills for planning, scheduling, coordinating, and optimizing electrical maintenance activities to improve equipment reliability, maximize workforce productivity, reduce downtime, and ensure the safe and efficient operation of electrical assets. Effective maintenance planning and scheduling are essential for minimizing unplanned outages, controlling maintenance costs, extending equipment service life, and supporting continuous production across industrial facilities, utilities, power generation plants, oil and gas operations, mining, manufacturing, commercial buildings, and infrastructure projects.
The course examines the principles of maintenance planning, work management, resource allocation, shutdown planning, preventive maintenance, predictive maintenance, condition-based maintenance, and reliability-centered maintenance. Participants will learn how to develop structured maintenance plans, prioritize work orders, estimate labor and material requirements, coordinate maintenance activities with operations, and optimize maintenance schedules to achieve high equipment availability while maintaining safety and regulatory compliance.
Participants will develop practical skills in maintenance backlog management, work order planning, job package preparation, spare parts coordination, maintenance budgeting, critical equipment identification, risk-based maintenance prioritization, contractor coordination, key performance indicator development, and maintenance performance analysis. Practical case studies demonstrate how well-planned maintenance activities reduce equipment failures, improve maintenance efficiency, optimize resource utilization, and support long-term asset reliability.
The programme also focuses on integrating maintenance planning with Enterprise Asset Management (EAM), Computerized Maintenance Management Systems (CMMS), Enterprise Resource Planning (ERP), Supervisory Control and Data Acquisition (SCADA), Industrial Internet of Things (IIoT), mobile workforce management applications, digital work permits, cloud-based maintenance platforms, and business intelligence dashboards. Participants will understand how digital technologies streamline maintenance workflows, improve work execution, enhance reporting accuracy, and support data-driven maintenance decision-making.
Modern maintenance organizations increasingly rely on predictive analytics, artificial intelligence, machine learning, digital twins, online condition monitoring, mobile technologies, and automated scheduling systems to improve maintenance effectiveness. This course examines these emerging technologies and demonstrates how they can be integrated into maintenance planning processes to improve forecasting accuracy, optimize maintenance intervals, reduce asset lifecycle costs, and increase operational resilience.
Upon successful completion of the Electrical Maintenance Planning and Scheduling Training Course, participants will possess the competencies required to develop effective maintenance plans, optimize maintenance schedules, coordinate resources efficiently, improve equipment reliability, enhance workforce performance, and establish sustainable maintenance management programs that support operational excellence and long-term asset performance.
Duration
5 days
Electrical maintenance engineers responsible for maintenance planning
Electrical engineers managing industrial electrical assets
Maintenance planners and maintenance schedulers
Reliability engineers responsible for asset performance improvement
Maintenance supervisors and maintenance team leaders
Utility maintenance engineers and substation maintenance personnel
Power plant maintenance engineers and operations supervisors
Asset management professionals overseeing electrical infrastructure
CMMS and EAM system administrators and maintenance coordinators
Electrical commissioning and turnaround planning engineers
Plant managers responsible for maintenance performance
Technical professionals responsible for maintenance strategy and execution
Develop comprehensive knowledge of maintenance planning and scheduling principles that improve equipment reliability, workforce productivity, operational efficiency, and asset lifecycle performance.
Learn to prepare detailed maintenance work plans including labor estimates, material requirements, job sequencing, safety documentation, and execution procedures for electrical maintenance activities.
Apply preventive, predictive, condition-based, and reliability-centered maintenance methodologies to optimize maintenance frequency, reduce failures, and improve equipment availability.
Develop effective maintenance schedules that balance operational requirements, resource availability, shutdown windows, production priorities, and maintenance risks.
Utilize CMMS, EAM, ERP, SCADA, IIoT, and digital maintenance platforms to manage work orders, maintenance records, spare parts, and asset performance information.
Implement maintenance backlog management, work prioritization, contractor coordination, and resource allocation techniques that improve maintenance execution and organizational performance.
Apply risk-based maintenance planning methods to prioritize critical assets, minimize operational risks, and maximize maintenance effectiveness across electrical systems.
Utilize artificial intelligence, predictive analytics, digital twins, and automated scheduling technologies to enhance maintenance planning accuracy and long-term asset management.
Develop maintenance performance indicators, reporting systems, and continuous improvement initiatives that support maintenance excellence and informed management decisions.
Establish sustainable electrical maintenance planning and scheduling programs that improve safety, regulatory compliance, equipment reliability, cost control, and organizational productivity.
Principles of electrical maintenance planning and scheduling methodologies.
Roles and responsibilities of planners, schedulers, and maintenance teams.
Maintenance lifecycle management and work management fundamentals.
International maintenance standards and best practice frameworks.
Preparing comprehensive maintenance work orders and job packages.
Estimating labor hours, tools, materials, and equipment requirements.
Developing standard maintenance procedures and execution plans.
Coordinating maintenance activities with operations and production teams.
Developing short-term, weekly, monthly, and annual maintenance schedules.
Resource allocation and workforce optimization for maintenance activities.
Shutdown, turnaround, and outage maintenance planning techniques.
Contractor management and coordination during maintenance execution.
Designing preventive maintenance programs for electrical equipment.
Integrating predictive maintenance using condition monitoring data.
Applying reliability-centered and condition-based maintenance strategies.
Optimizing maintenance intervals using performance and failure analysis.
Managing work orders using CMMS and Enterprise Asset Management systems.
Integration with ERP, SCADA, IIoT, and digital maintenance platforms.
Mobile maintenance applications and electronic work permit systems.
Digital reporting, dashboards, and maintenance performance monitoring.
Planning spare parts requirements for critical electrical equipment.
Inventory optimization and warehouse coordination for maintenance.
Critical spare identification and lifecycle inventory management.
Procurement planning and supplier coordination for maintenance materials.
Developing maintenance KPIs and performance measurement systems.
Maintenance backlog analysis and work execution performance evaluation.
Root Cause Analysis (RCA) supporting maintenance improvement initiatives.
Continuous improvement using benchmarking and operational analytics.
Artificial intelligence applications for maintenance forecasting.
Machine learning supporting predictive maintenance scheduling.
Digital twins for maintenance planning and asset lifecycle optimization.
Cloud-based maintenance analytics and intelligent scheduling solutions.
Risk-based maintenance planning for critical electrical infrastructure.
Safety planning, permit-to-work systems, and isolation procedures.
Compliance with electrical maintenance regulations and industry standards.
Maintenance documentation, auditing, and quality assurance practices.
Smart maintenance systems and autonomous maintenance technologies.
Industrial Internet of Things for connected maintenance operations.
Sustainable maintenance strategies supporting energy efficiency goals.
Future developments in intelligent maintenance planning, workforce optimization, and digital asset management.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
| Training Mode | Platform | Fee | Enroll |
|---|---|---|---|
| Online Training | Zoom/ Google Meet | 900USD | Register |
| Course Date | Location | Fee | Enroll |
|---|---|---|---|
| 21/09/2026 to 25/09/2026 | Nairobi | 1,500 USD | Register |
| 21/09/2026 to 25/09/2026 | Mombasa | 1,750 USD | Register |
| 21/09/2026 to 25/09/2026 | Dubai | 4,900 USD | Register |
| 19/10/2026 to 23/10/2026 | Nairobi | 1,500 USD | Register |
| 19/10/2026 to 23/10/2026 | Mombasa | 1,750 USD | Register |
| 16/11/2026 to 20/11/2026 | Nairobi | 1,500 USD | Register |
| 16/11/2026 to 20/11/2026 | Mombasa | 1,750 USD | Register |
| 16/11/2026 to 20/11/2026 | Kigali | 2,500 USD | Register |
| 21/12/2026 to 25/12/2026 | Nairobi | 1,500 USD | Register |
| 21/12/2026 to 25/12/2026 | Dubai | 4,900 USD | Register |
| 21/12/2026 to 25/12/2026 | Mombasa | 1,750 USD | Register |
| 18/01/2027 to 22/01/2027 | Nairobi | 1,500 USD | Register |
| 15/02/2027 to 19/02/2027 | Nairobi | 1,500 USD | Register |
| 15/03/2027 to 19/03/2027 | Nairobi | 1,500 USD | Register |
| 19/04/2027 to 23/04/2027 | Nairobi | 1,500 USD | Register |
We support the development of a skilled and confident workforce to meet the changing demands of growing sectors by offering the best possible training to enable them to fulfil learning goals.
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