Manufacturing Execution System (MES) Course

Lesson 1 • MES in the Manufacturing Technology Stack

Positions MES between enterprise planning and shop-floor control layers. Students understand how MES bridges strategy and execution.

Lesson 2 • What Is an MES and Why It Matters

Defines MES and its position in the manufacturing technology landscape. Establishes context for all subsequent MES concepts and modules.

Lesson 3 • Key Stakeholders and MES Value Proposition

Identifies roles that interact with MES and the value each gains. Connects system capabilities to measurable operational outcomes.

Lesson 1 • Real-Time Data Collection Mechanisms

Covers manual entry, barcode, RFID, and machine-automated data capture methods. Reliable data collection underpins every MES analytical and compliance function.

Lesson 2 • Core MES Data Models

Covers the object models for equipment, materials, personnel, and work orders. Accurate data modeling is the foundation for reliable production tracking.

Lesson 3 • Production Routing and Work Order Engine

Details how MES manages routing definitions and dispatches work orders to the floor. Students learn how routing logic drives execution sequencing.

Lesson 4 • MES Security and Access Control

Addresses role-based access, audit trails, and electronic signature requirements. Security architecture protects data integrity and supports regulatory compliance.

Lesson 1 • Integration Fundamentals and Standards

Introduces messaging protocols, data exchange standards, and integration middleware concepts. Establishes the technical vocabulary for all MES integration design work.

Lesson 2 • Integration Testing and Validation

Provides methods for testing interface reliability, data accuracy, and failover behavior. Validated integrations are prerequisite to compliant MES go-live.

Lesson 3 • MES and Shop-Floor Automation Integration

Covers OPC-UA, SCADA, and PLC connectivity for real-time machine data exchange. Students configure data acquisition links and validate signal mapping.

Lesson 4 • MES and ERP Bidirectional Integration

Details work order download, material consumption, and production confirmation flows between MES and ERP. Students map data flows and identify synchronization failure points.

Lesson 1 • Scheduling Performance Analysis

Measures schedule adherence, on-time delivery, and utilization rates using MES reporting. Performance analysis closes the loop between planning decisions and actual outcomes.

Lesson 2 • Dispatching Work to the Shop Floor

Explains how MES generates dispatch lists, assigns operators, and releases work to workstations. Accurate dispatching ensures the right work reaches the right resource on time.

Lesson 3 • Work Order Prioritization and Sequencing

Covers priority rules, due-date logic, and sequence optimization algorithms used in MES. Effective sequencing minimizes tardiness and maximizes throughput simultaneously.

Lesson 4 • Real-Time Schedule Adjustment

Addresses rescheduling triggers such as machine breakdowns, material shortages, and urgent orders. Students practice dynamic rescheduling to minimize disruption impact.

Lesson 1 • Lot and Serial Number Management

Covers lot creation, splitting, merging, and serial number assignment within MES. Accurate lot management is the prerequisite for all genealogy and traceability functions.

Lesson 2 • Genealogy Record Construction

Demonstrates how MES assembles parent-child relationships into a complete genealogy tree. Genealogy records are essential for regulatory submissions and recall investigations.

Lesson 3 • Work-in-Process Tracking Across Operations

Explains how MES monitors unit and lot movement through each routing step. Real-time WIP visibility supports scheduling, bottleneck detection, and throughput analysis.

Lesson 4 • Material Consumption and Component Tracking

Details how MES records component consumption against work orders and assemblies. Component tracking enables forward and backward traceability across the supply chain.

Lesson 1 • Nonconformance and Disposition Workflows

Walks through nonconformance creation, review, disposition, and closure in MES. Structured workflows ensure every defect is evaluated and resolved with full traceability.

Lesson 2 • Quality Metrics and Reporting

Covers first-pass yield, defect rate, and cost-of-quality calculations derived from MES data. Metrics drive continuous improvement decisions and management reviews.

Lesson 3 • In-Process Quality Data Collection

Details how operators record measurement results, visual checks, and test outcomes in MES. Captured data feeds SPC charts and nonconformance workflows automatically.

Lesson 4 • Statistical Process Control in MES

Explains SPC chart types, control limit calculation, and rule violation detection within MES. SPC enables proactive process correction before defects are produced.

Lesson 1 • Downtime Tracking and Root Cause Coding

Covers downtime event capture, reason code hierarchies, and root cause classification in MES. Accurate downtime coding enables targeted maintenance and process improvement actions.

Lesson 2 • Continuous Improvement Using MES Data

Applies OEE and analytics data to structured improvement projects using DMAIC methodology. Students close improvement cycles by validating results with updated MES metrics.

Lesson 3 • OEE Framework and Loss Categories

Defines availability, performance, and quality components of OEE and the six big losses. A solid OEE framework is the basis for all equipment performance improvement work.

Lesson 4 • Production Rate and Cycle Time Analysis

Analyzes actual vs. ideal cycle times and production rate trends using MES data. Cycle time analysis reveals performance losses hidden within apparently normal operations.

Lesson 1 • Requirements Gathering and Gap Analysis

Covers current-state process mapping, future-state definition, and gap identification techniques. Thorough requirements prevent scope creep and misaligned system configuration.

Lesson 2 • Go-Live Planning and Hypercare Support

Covers cutover planning, parallel run strategy, and hypercare support model post-launch. A structured go-live minimizes production disruption and accelerates user adoption.

Lesson 3 • User Acceptance Testing and Defect Resolution

Guides structured UAT execution, defect logging, and resolution tracking before go-live. UAT confirms that configured workflows meet actual operator and business needs.

Lesson 4 • Validation Strategy and Protocol Development

Explains IQ, OQ, and PQ validation phases and protocol documentation requirements. Validation ensures the system performs as intended and satisfies regulatory expectations.