Advanced Maintenance Planning, Scheduling, and Control

Achieve Excellence in Maintenance Planning, Scheduling and Lowered Maintenance Costs

OVERVIEW

In an ever-increasing competitive industries like Manufacturing, Mining, Power and Utilities and Oil & Gas, the maintenance division is typically required by management to increase asset and equipment uptime with minor breakdowns and lower cost. For this type of situation, the maintenance departments feel the lack of resources. Work orders keeps coming in, but not many get done.

A study from SMRP shows that the average “wrench time” of available maintenance personnel is only 35%. It means that on an average day, an organization’s maintenance force only spends about 3 ½ hours on completing maintenance work. The remaining hours are wasted on gathering parts, travelling, meetings, breaks, and other “non-productive” activities that have nothing to do with working on asset and equipment maintenance.

Without proper planning and scheduling, maintenance is uncoordinated, costly and ineffective, leaving the team to fail in meeting deadlines. These failures will cause constant problems for the Operations department, who will become increasingly reluctant to release equipment in the future. This can directly contribute to higher maintenance cost, inadequate maintenance execution and rapidly deteriorating plant integrity.

Salvo Global’s 3-day course is designed to build advanced competency in maintenance planning and scheduling. The techniques that participants will learn in this course will allow for effective planning and scheduling of maintenance resources. The course covers all the fundamentals and advanced methods and applications that a suitably qualified professional would use in carrying out fully functional plant maintenance. In summary, the course provides a step-by-step practical guide to best practices of maintenance planning and scheduling that will essentially reduce maintenance costs and deliver maximum business benefits.

This training course is based on 35 years of real-life industrial experience of the trainer in maintenance planning and scheduling.

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CLASSROOM

1 - 3 June 2026

8:30 AM - 4:30 PM

Accra, Ghana

English

  • Protect and enhance values of your plant machinery with the advanced maintenance planning and scheduling best practices principles
  • Learn the roles and duties of a maintenance planner and scheduler and creation of high-quality work orders
  • Discover how to effectively integrate reliability centred maintenance with maintenance planning and scheduling for achieving maximum machinery uptime and essential reduction of maintenance costs
  • Maximise profits with effective maintenance management and equipment life cycle control
  • Master practical implementation of advanced maintenance planning and scheduling principles, Computerized Maintenance Management Systems (CMMS) and Enterprise Resource Planning Software
  • Unlock the potential of your CMMS System and discuss what other software packages are available and assess their benefits
  • Optimize the management of maintenance backlogs
  • Utilize the latest condition monitoring technologies
  • Eliminate risk and downtime caused by maintenance defect and failure with highly effective scheduled maintenance

  • Maintenance
  • Engineering
  • Reliability
  • Preventive Maintenance
  • Predictive Maintenance
  • Shutdowns & Turnarounds
  • Condition Monitoring
  • Rotating Equipment
  • Static Equipment
  • Mechanical Engineering
  • Asset Management
  • Asset Integrity
  • Operations

Machinery Failure Analysis

Machinery failure analysis and prevention using structured and systematic approaches are critical for every successful plant. This course is designed to build competency in machinery failure analysis and prevention in order to enhance machinery reliability and availability and overall plant productivity. It covers all the fundamentals, systematic and structured practical approaches, methods and applications that a professional would use in carrying out fully functional plant maintenance. In summary, the course provides a step-by-step practical guide to best practices of machinery failure analysis and prevention that will deliver maximum business benefits.

This training course is based on 35 years of real-life industrial experience of the trainer in machinery failure analysis and prevention. The course covers:

  • Systematic and structured analysis of machinery functional and potential failures, hidden and evident failures, failure modes, effects and consequences
  • Advanced failure analysis techniques and 9 steps of the classical failure analysis
  • Advanced machinery fault diagnosis and optimum combination of proactive tasks and default actions for machinery failure prevention
  • A highly effective root cause analysis of machinery faults/failures providing next generation proactive maintenance
  • Failure mode and effect analysis (FMEA) and failure mode, effect and criticality analysis (FMECA)
  • Effective field-proven condition monitoring technologies (i.e. vibration, acoustic emission, infrared thermography and wear debris) that should be used to detect, locate, diagnose and assess severity of faults in machinery
  • The most effective risk assessment techniques for machinery faults/failures and principles of advanced risk-based inspection for machinery failure prevention
  • The best-of-class reliability centered maintenance, an efficient practical framework for machinery fault/failure prevention
  • Practical implementation of advanced methods/technologies for machinery failure analysis and prevention and root cause analysis of machinery fault/failure via 52 industrial case studies

CLASSROOM

4 - 5 June 2026

8:30 AM - 4:30 PM

Accra, Ghana

English

  • Protect and enhance values of your plant machinery with field-proven failure analysis techniques, condition monitoring technologies and reliability centered maintenance
  • Develop root cause analysis techniques for providing next generation proactive maintenance, eliminating recurring faults and failures, and delivering maximum business benefits
  • Discover the most effective risk assessment techniques for machinery failures and advanced risk-based machinery inspection for achieving maximum uptime and minimising risks
  • Learn best practice implementation of advanced methods for machinery failure analysis and prevention and root cause analysis for most rotating and reciprocating plant machinery
  • Apply advanced machinery fault diagnosis and optimum combination of proactive tasks and default actions for machinery failure prevention
  • Discover systematic and structured analysis of machinery functional and potential failures, hidden and evident failures, effects and consequences
  • Integrate a highly effective root cause analysis of machinery faults/failures providing next generation proactive maintenance

  • This highly interactive training course will benefit anyone responsible for machinery reliability and availability, who wishes to build competency in techniques to improve machinery performance
  • This includes plant directors, senior plant managers, engineers/senior engineers, technical staff/senior technical staff and maintenance supervisors/coordinators who are involved in machinery design, selection, installation, operation, inspection/condition monitoring, troubleshooting, maintenance, reliability and availability
Executive Certificate
Electronic Package of Lectures
Available to Trainer’s Consultation
Real-World Cases
Networking Opportunities

OUR CUSTOMER STORIES

JG Summit Petrochemicals Corporation

(4/5)

“It is an honor to be part of this training led by Prof L. Gelman. The experience and knowledge he shared throughout the sessions is a great help in our field of maintenance specially failure analysis. Also, I would like to thank everyone who made this training possible and successful.”

Aeroportos De Mocambique E.P

Pavement Maintenance Engineer

(4/5)

“The training was well organized the facilities are very good and the professor has very good knowledge of the subjects discussed in class.”

Sasol

Reliability Engineer

(3/5)

“Content is very interesting and instructor is very knowledgeable on the subject.”

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