4.5 Article

A Model-Based Approach for the Methodical Development and Configuration of Modular Product Families

期刊

SYSTEMS
卷 11, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/systems11090449

关键词

model-based systems engineering; methodical development of modular product families; modularization; platform design in industrial context; configuration

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This paper demonstrates the systematic development and configuration of modular product family concepts in SysML, highlighting the need for research to address inconsistencies between methodical tools. By presenting a methodical framework, the authors show how product development methods can be implemented for modular product family modeling using Model-Based Systems Engineering (MBSE) in SysML. The framework enables consistent modeling and higher-level analyses, reducing errors and effort while increasing traceability across different tools.
This paper shows how a methodical development and configuration of modular product family concepts and their effects on economic targets can be implemented in SysML. For this purpose, different sources of inconsistency between different methodical tools are highlighted and the need for research is shown. As a solution approach, a methodical framework is presented, which can be used to implement product development methods for the developing of modular product family modeling by means of Model-Based Systems Engineering (MBSE) in the modeling language SysML. By applying the framework, it is shown on the one hand how a product family of vacuum cleaner robots as a simple example can be modularized in a methodical, model-based manner. On the other hand, a configuration system and an impact model of modular product families are connected with the system model and applied to a product family of laser systems as an industrial use case. This made it clear that the framework can be used to model various methodical topics of product family modeling in a consistent manner, to enable higher-level analyses with the use of MBSE tools. This can reduce errors, decrease effort and increase traceability across different methodical tools.

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