## Introduction

Manufacturing analytics is the application of data analysis techniques to improve production performance, minimize downtime, reduce waste, and maintain product quality. It involves analyzing real-time and historical data from machines, sensors, operators, and systems to uncover actionable insights.

By turning raw production data into meaningful information, analysts help manufacturers make better decisions—like identifying bottlenecks, predicting equipment failure, or optimizing labor schedules.

## Objectives

In this module, you will:

- Discover the importance of data analytics in the field of manufacturing.
- Identify the importance of process maps in manufacturing.
- Identify the role of overall equipment effectiveness in manufacturing.
- Demonstrate how to calculate an OEE.

## How to Succeed

To be successful in this module, make sure you:

- Read all content pages and pay attention to the key terms mentioned.
- Focus on how metrics reflect operations—don’t just memorize formulas.
- Treat the Cookie Factory OEE assignment as a mini production simulation. You'll refer back to it throughout the course.
- Ask questions if you’re unclear—manufacturing is complex, and it’s okay not to get it right away.

## Additional Resources (Optional)

- Manufacturing Analytics: How Manufacturers Can Benefit