Performance simulation of modular product architectures by model-based configuration

Description

Vorwort Zusammenfassung Table of Content List of Abbreviations List of Symbols 1 Introduction 1.1 Outset point 1.2 Objective of the contribution 1.3 Thesis structure 2 Challenges in modular product architecture alternative decisions 2.1 Research environment 2.2 Research questions and research hypothesis 3 State of the art 3.1 Terminology and Taxonomy 3.2 Development of modular product architectures 3.3 Performance assessment of modular product architectures 3.4 Modular kits within business processes 3.5 The Impact Model: analysis of effects and impacts of MPAs 3.6 Model-Based Systems-Engineering (MBSE) 3.6.1 Fundamentals of Model-Based Systems Engineering 3.6.2 Consistency enhancement using MBSE 3.6.3 Single-source of truth: MBSE vs. PLM 3.6.4 MBSE concepts supporting the development of modular product architectures 3.7 Configuration systems 3.7.1 Types of configuration systems 3.7.2 Approaches to multi-dimensional configuration algorithms 3.7.3 The Dijkstra-algorithm as basis for the configuration system 3.7.4 The Hyperspace as a basis for the geometric configuration algorithm 3.8 Definition of the considered demand for further research 3.8.1 Bibliographic analysis 3.8.2 Definition of research requirements 4 Simulation approach for the performance analysis of modular product architectures 4.1 Overview to the correlation of the simulation and configuration methods 4.2 Definition of the Flow Diverter explanation example 4.3 The configuration system as element of the simulation method 4.3.1 MPA data basis structuring 4.3.2 Modelling of configuration relevant constraints 4.3.3 Configuration decision dimensions 4.3.4 Implementation of the product configuration system 4.3.5 MBSE and configuration system data exchange system 4.3.6 The Configuration Value Vector 4.3.7 The adapted Dijkstra-algorithm for the determination of valid product variants 4.3.8 The multi-dimensional Hyperspace calculation algorithm 4.4 Modular product architecture performance simulation method 4.4.1 Overview to the simulation-based decision-making process 4.4.2 The MPA performance assessment simulation 4.5 Interim summary of the MPA simulation algorithm 5 Validation of the methods 5.1 Description of the case study 5.2 Case Study implementation 5.2.1 Configuration implementation for the case study 5.2.2 Case Study simulation analysis dimensions 5.2.3 Simulation data input: customer products 5.2.4 Visualization of simulation results 5.3 Verification and validation 5.3.1 Sensitivity analysis 5.3.2 Validation 5.3.3 Response to the research questions and research hypothesis 6 Conclusion and outlook 7 Annex 7.1 Annex 1: Bibliographic analysis data 7.2 Annex 2: Extended excerpt of CND for Flow Diverter 7.3 Annex 3: Four Dependency Matrices for configuration process 7.4 Annex 4: Flow Diverter configuration system frondend description 7.5 Annex 5: Model-Based MPA – configuration system interface data format 7.6 Annex 6: Extended Parametric Model for case study – Axis Systems 7.7 Annex 7: Case study company Impact Model with relevant analysis dimensions 7.8 Annex 8: List of all configuration relevant properties for simulation 7.9 Annex 9: Excerpt of Dependency Matrices for MPA alternatives 8 References Curriculum Vitae