
Introduction to the Course
Identify the key contributors to downtime using a Pareto-based base sheet with accumulated and accumulated percentage columns, isolating the 20% of items causing 80% of problems.
Apply pareto analysis to identify the 20% of equipment driving 80% of problems, visualize results, and guide decisions on downtime or maintenance. Consider other decision-making applications.
Have you ever wondered why a small number of problems seem to cause most of your maintenance failures, inventory costs, customer complaints, or business losses?
The answer often lies in the Pareto Principle, also known as the 80/20 Rule—one of the most powerful decision-making tools used by world-class organizations.
In this practical course, you'll learn how to apply Pareto Analysis to solve real industrial and business challenges. Rather than wasting time and resources trying to solve every problem at once, you'll discover how to identify the few critical issues that generate the greatest impact, allowing you to improve productivity, reduce costs, and make smarter, data-driven decisions.
Designed for both technical and non-technical professionals, this course combines clear explanations with practical examples that you can immediately apply in your workplace.
Whether you work in maintenance, operations, engineering, supply chain, finance, quality, or business management, Pareto Analysis will become an essential tool in your continuous improvement toolkit.
Throughout this course, you will learn how to:
Understand the Pareto Principle (80/20 Rule) and its real-world applications.
Build and interpret Pareto Charts step by step.
Prioritize maintenance failures based on their impact.
Identify the critical few causes behind recurring equipment problems.
Optimize spare parts inventory and focus on high-value stock items.
Improve inventory management while reducing working capital.
Analyze maintenance budgets and identify the major cost drivers.
Allocate resources more effectively for maximum business impact.
Apply Pareto Analysis using practical industrial and business case studies.
Make confident, data-driven decisions that improve operational performance.