Details

Autor(en) / Beteiligte

• Zou, Minjie
• Vogel-Heuser, Birgit
• Sollfrank, Michael
• Fischer, Juliane

Titel

A Cross-disciplinary Model-Based Systems Engineering Workflow of Automated Production Systems Leveraging Socio-technical Aspects

Ist Teil von

• 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2020, p.133-140

Ort / Verlag

IEEE

Erscheinungsjahr

2020

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• With the increasing integration of multiple disciplines, Model-Based Systems Engineering (MBSE) has become more beneficial for the development of automated production systems. However, even though discipline- specific models can be connected via a system model, how to apply MBSE in a cross-disciplinary context in the industry remains challenging due to complex organization, inefficient communication and limited knowledge of the staff. In this paper, a workflow of automated production system development combining MBSE, sociology and team collaboration is proposed and leveraged against the traditional workflow. BPMN+I is applied for modeling cross-disciplinary collaborations and assessing team and organizational factors.