Description

Introduction

This course provides a practical guide to defining, generating, and analyzing Key Performance Indicators (KPIs) within the Apriso Manufacturing Execution System (MES). Designed for operations managers, analysts, and decision-makers, the course covers how Apriso collects real-time and historical data, translates them into actionable metrics, and supports continuous performance improvement. Participants will learn to create dashboards, automate reporting, and align metrics with organizational goals.

Prerequisites

Participants should have:

• Basic familiarity with Apriso MES navigation and core modules

• Understanding of manufacturing operations and typical KPIs

• Optional: Experience with data analytics or BI tools is beneficial

Table of Contents

1. Understanding KPIs in Manufacturing MES Context
    1.1 What are KPIs and why they matter in MES
    1.2 Types of KPIs: operational, quality, maintenance, etc.
    1.3 Linking KPIs to business objectives

2. Data Sources and Structures in Apriso MES
    2.1 Overview of transactional and historical data
    2.2 Real-time vs batch reporting
    2.3 Ensuring data integrity and availability

3. Setting Up KPI Definitions in Apriso
    3.1 Using templates and models
    3.2 Customizing formulas and thresholds
    3.3 Associating KPIs with processes and equipment

4. Designing Dashboards and Visual Reports
    4.1 Introduction to Apriso Dashboard Designer
    4.2 Choosing visual formats (charts, gauges, tables)
    4.3 Filtering by plant, time period, product, or shift

5. Alerting and Exception Reporting
    5.1 Defining alert conditions
    5.2 Notification options (email, SMS, dashboard prompts)
    5.3 Escalation and response workflows

6. Advanced Analytics and Integration
    6.1 Exporting KPI data to external BI tools
    6.2 Using Power BI/Tableau with Apriso data
    6.3 Predictive analytics and historical trend analysis

7. Case Studies and KPI Optimization Scenarios
    7.1 Improving OEE through real-time visibility
    7.2 Monitoring first-pass yield and scrap rates
    7.3 Supporting lean initiatives with KPI transparency

8. Best Practices and Governance for KPI Reporting
    8.1 Standardizing KPI definitions across plants
    8.2 Ensuring KPI alignment with strategic goals
    8.3 Training users and managing report access

By the end of this course, participants will be capable of designing, generating, and interpreting KPIs using Apriso MES. They’ll be able to connect operational data to business performance, support proactive decision-making, and contribute to manufacturing excellence through clear, actionable metrics.