Systems Engineering

Introduction

Systems Engineering

The increasing complexity of technical systems and rising customer demands pose growing challenges for development organizations. Modern product development takes place in an interdisciplinary environment characterized by volatility, uncertainty, complexity, and ambiguity (VUCA). Networked and intelligent technologies require new methodological approaches in system development. As a systematic, interdisciplinary approach, systems engineering provides the methodological basis for the successful development of complex technical systems. The focus is on the structured analysis of stakeholder needs, the systematic derivation of system requirements, and a holistic view of the development process. By integrating various disciplines and applying proven processes and methods, systems engineering enables the controllable development of even highly complex systems.

Relevance of the topic

Dealing with complexity

Modern technical systems are increasingly designed as socio-cyber-physical systems or systems of systems in order to meet complex stakeholder requirements. This system complexity requires systematic and systemic development approaches that go beyond traditional engineering disciplines. Systems thinking forms the conceptual basis for this: this holistic approach makes it possible to understand and shape complex phenomena by always taking the overall task and the overarching problem into account when working on subtasks. As a central component of systems engineering, systems thinking promotes understanding of system relationships and interactions. In addition, human-centered approaches are gaining in importance, as emotional user experiences contribute to value creation alongside technical functionality. Design thinking supports the development of user-centered solutions as a structured, creative problem-solving approach, thereby expanding the methodological spectrum of systems engineering. Model-Based Systems Engineering (MBSE) is another key area of focus: this formalized approach uses digital models for the systematic definition, development, analysis, and documentation of systems. MBSE aims to increase the efficiency and effectiveness of the development process. Key research questions include the optimal integration of models into systems engineering processes and the use of MBSE to map and analyze data and information requirements in complex system development projects.

Research focus

In this context, we focus in particular on the following research areas:
- Model-based identification and reduction of uncertainties in the system development process. Development of systematic approaches for the early detection and targeted treatment of uncertainties through the use of digital system models
- Method development for task-specific system modeling. Research and development of methods for creating targeted system models that optimally support development teams in specific tasks
- Integration of design thinking in systems engineering. Investigation of systematic approaches for combining human-centered design methods with established systems engineering practices

Employees on this focus

Dipl.-Ing. Emir Gadzo

Dipl.-Ing. Emir Gadzo

Wiss. Mitarbeiter
Gebäude 41/300, Zimmer 041/2316
+49 89 6004 5812
emir.gadzo@unibw.de
Leonhard Kessler M.Sc.

Leonhard Kessler M.Sc.

Wiss. Mitarbeiter
Gebäude 41/300, Zimmer 041/2316
+49 89 6004 5811
leonhard.kessler@unibw.de
Prayag Raj Upadhyay B.Sc.

Prayag Raj Upadhyay B.Sc.

Studentische Hilfskraft
Gebäude 41/300, Zimmer 041/2311
prayag.upadhyay@unibw.de