Monitoring plant performance is crucial for several reasons. Firstly, it allows for early detection of potential problems, such as equipment malfunctions or declining yields, enabling timely interventions to prevent major issues and costly downtime. Secondly, it provides valuable data for optimizing plant operations, identifying areas for improvement in resource utilization, energy efficiency, and overall productivity. This data-driven approach can lead to significant cost savings and increased profitability. Thirdly, continuous monitoring helps ensure compliance with environmental regulations and industry standards, minimizing risks and maintaining a positive reputation. Finally, by tracking key performance indicators, plant managers can make informed decisions, allocate resources effectively, and demonstrate the overall health and efficiency of the plant to stakeholders.
Upon the successful completion of this course, each participant will be able to:
This course is designed for Plant Managers, Production Supervisors, Process Engineers, Maintenance Engineers, Quality Control Managers, Data Analysts, Instrumentation Technicians & Any personnel involved in plant operations and improvement.
DAY 1
Registration, Welcome & Introduction
Pre-Test
Introduction to Plant Performance Monitoring
√ Production KPIs (e.g., throughput, yield, OEE)
√ Quality KPIs (e.g., defect rates, customer satisfaction)
√ Safety KPIs (e.g., incident rates, near misses)
√ Environmental KPIs (e.g., emissions, waste)
√ Financial KPIs (e.g., cost of production, ROI)
√ Plant Management Systems (PMS)
√ Manufacturing Execution Systems (MES)
√ Supervisory Control and Data Acquisition (SCADA) systems
√ Sensors and Instrumentation
√ Manual Data Entry
√ Data Logging and Historical Data
√ Data Validation and Verification
√ Data Cleaning and Transformation
√ Handling Missing Data
√ Ensuring Data Accuracy and Reliability
DAY 2
Data Analysis and Visualization
√ Descriptive Statistics (mean, median, standard deviation)
√ Trend Analysis
√ Root Cause Analysis (e.g., 5 Whys, Fishbone Diagram)
√ Statistical Process Control (SPC) Charts
√ Regression Analysis
√ Dashboards and Scorecards
√ Charts and Graphs (line, bar, pie, scatter plots)
DAY 3
Improving Overall Equipment Effectiveness (OEE)
√ Availability, Performance, Quality
√ Identifying OEE Losses (e.g., downtime, speed loss, defects)
√ OEE Improvement Strategies
√ Applying Lean principles to improve OEE
√ Identifying and eliminating waste (muda)
Day 4:
Predictive Maintenance and Root Cause Analysis
√ Vibration Analysis
√ Thermography
√ Oil Analysis
√ Acoustic Emission Monitoring
√ Implementing Predictive Maintenance Programs
√ Fault Tree Analysis
√ Failure Mode and Effects Analysis (FMEA)
√ 5 Whys Deep Dive
Day 5:
Action Planning and Continuous Improvement
√ Setting SMART goals (Specific, Measurable, Achievable, Relevant, Time-bound)
√ Prioritizing improvement initiatives
√ Assigning responsibilities and deadlines
√ Employee Engagement and Empowerment
√ Performance Reviews and Feedback
Post-Test
End of the CourseFacilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.
Percentages of the total course hour classification are:
At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.