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.
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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 devel...
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