Materials – Learning | Modapto

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Downloadable Training Materials

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1. Monitoring

1.1.1 Accessing and Viewing the Current Capacity of Production Cells

1.1.2 Using the System Dashboard to Monitor Production Cell Performance and Identify Bottlenecks

1.1.3. Using the system dashboard to monitor production cell performance and view its current capacity.

1.2.1 Methods for comparing identical production cells

1.2.2 Analyzing data to understand causes of discrepancies

1.3.1. How operators log the production cell

1.3.2. Importance of reporting time spent

1.3.3. Reporting Process Drift and Production Issues

1.3.4. Tools for Real-time Issue Reporting

1.4.1. Tracking inbound and outbound logistics

1.4.2. Identifying delays, bottlenecks

1.4.3. Notification setup for delivery delay risks

1.5.1. Production cell design principles

1.5.2. Configuration and optimization techniques

2. Simulation of logistics operations

2.1.1 Introduction to material handling

2.1.2 Simulation of logistics processes

2.2.1. Evaluating various sequences

2.2.2. Selecting the best sequence

3. Production Design, Configuration, and Resource Balancing

3.1.1. Designing production steps, cells, and modules

3.1.2. Methods for reconfiguring production setups

3.2.1. Simulation tools for evaluating configurations

3.2.2. Comparing Setups for Optimal Performance

4. Local Optimization

4.1.1 Industrial Application of TSP and BTSP

4.1.2 Solution Approaches to Industrial Applications

4.2.1 Robot movement optimization for individual tasks

4.2.2 Robot Picking Sequence Optimization for Pick-and-Place Tasks

4.3 Setting up the Optimization Engine

5. Global Optimization

5.1.1 Overview of Production Scheduling

5.1.2 Key Objectives of Scheduling Optimization

5.1.3 KPIs of Scheduling Optimization

5.2.1 Types of Constraints in Production Scheduling

5.3.1. Types of Machines in Production Systems

5.3.2. Machine Properties

5.4.1 Exact Methods Overview

5.4.2 Integer and Linear Programming

5.4.3 Limitations of Exact Methods

5.5.1 Metaheuristics Overview

5.5.2 Search Strategies on Production Scheduling

5.5.3 Population-Based Strategies on Production Scheduling

5.6.1 Comparing Exact and Metaheuristic Methods

5.6.2 Hybrid Approaches

5.6.3 Optimization vs Re-optimization Scheduling Horizon

6. Local Analytics

6.1.1 Introduction standard FMI

6.1.2 Integration of FMUs as simulation model in standardized digital twins based on AAS standard

7. Self-Awareness

7.1.1 Introduction Maintanance Strategy evolution

7.2.1 Prognostics and Health Management The Big Picture

7.2.2 Industrial Survey on Prognostics Understanding Context Challenges and Implementation Perspectives

7.3.1 Fault Detection Basics

7.3.2 Fault Detection Review of Main Techniques

7.3.3 Fault Detection Evaluation Metrics

7.4.1 Fault-Diagnosis Basics

7.4.2 Fault-Diagnosis Review of Main Techniques

7.4.3 Fault-Diagnosis Evaluating Models

7.5.1 Prognostics Forecasting System Health

7.5.2 Prognostics Main Techniques for RUL

7.5.3 Prognostics Evaluation Metrics

8. Predictive Maintenance

8.1.1 Introduction to Maintenance Optimization

8.1.2 Mathematical Maintenance Optimization Process

8.2.1 Modeling Dysfunctional Behavior

8.2.2 Modeling Dysfunctional Behavior

8.3.1 Maintenance Strategy Modeling

8.3.2 Maintenance Strategy Modeling

8.3.3 Maintenance Strategy Modeling

8.3.4 Maintenance Strategy Modeling

8.4.1 Example of algorithm use in MODAPTO

8.4.2 Example of algorithm use in MODAPTO

8.4.3 Example of algorithm use in MODAPTO

8.4.4 Example of algorithm use in MODAPTO

9. Virtual Commissioning and Testing

9.1.1 Virtual environments for testing robot setups and production scenarios

9.2.1. Introduction to Virtual Commissioning

9.2.2 Tools for integrating sustainability KPIs in virtual commissioning

9.2.3 Metrics to evaluate robot designs and production line efficiency

10. Notification Center

10.1 Notification center manual

11. Orchestration of Smart Services

11.1.1 Creating and configuring a smart service profile

11.1.2 Managing service permissions and access controls

11.2.1 Designing connector architecture and API specifications

11.2.2 Implementing and testing custom connectors

11.3.1 Designing service workflows and dependencies

11.3.2 Implementing orchestration logic and error handling

12. Service Catalog

12.1.1 Understanding Smart Service Manifest structure and components

12.1.2 Defining service metadata and configuration parameters

12.2.1 Registering Smart Service Manifest in the service Catalogue

12.2.2 Managing service lifecycle and version control through registration process

13. Design Reconfiguration

13.1.1 Module classification and categorization methods

13.1.2 Module interface definition and compatibility assessment

13.2.2 AAS metamodel components and data structures

13.3.1 Creating AAS submodels and properties for MODAPTO components

13.3.2 Implementing AAS serialization formats and validation

13.4.1 BPMN notation elements and workflow modeling principles

13.5.1 Mapping MODAPTO production processes to BPMN workflow models

13.6.1 Integration with MODAPTO Digital Twin Manager architecture

13.6.2 MessageBus communication protocols and data exchange formats

14. Digital Transformation and Innovation for Enabling Reconfigurable Production Systems

14.1. Manufacturing Digital Transformation

14.1. Manufacturing Digital Transformation Slides

14.2. Modapto under the lens of Digital Transformation

14.2. Modapto under the lens of Digital Transformation Slides

14.3. Innovations in Manufacturing Business Models

14.3. Innovations in Manufacturing Business Models Slides

14.4. Assessment Questionnaire for Reconfigurable Manufacturing Maturity of SMEs

14.4. Assessment Questionnaire for Reconfigurable Manufacturing Maturity of SMEs Slides

14.5. Business Models of MODAPTO

14.5. Business Models of MODAPTO Slides

14.6 References – Extra Reading Material