A Systematic Mapping Study on Modeling for Industry 4.0

A. Wortmann, B. Combemale, Olivier Barais
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引用次数: 40

Abstract

Industry 4.0 is a vision of manufacturing in which smart, interconnected production systems optimize the complete value-added chain to reduce cost and time-to-market. At the core of Industry 4.0 is the smart factory of the future, whose successful deployment requires solving challenges from many domains. Model-based systems engineering (MBSE) is a key enabler for such complex systems of systems as can be seen by the increased number of related publications in key conferences and journals. This paper aims to characterize the state of the art of MBSE for the smart factory through a systematic mapping study on this topic. Adopting a detailed search strategy, 1466 papers were initially identified. Of these, 222 papers were selected and categorized using a particular classification scheme. Hence, we present the concerns addressed by the modeling community for Industry 4.0, how these are investigated, where these are published, and by whom. The resulting research landscape can help to understand, guide, and compare research in this field. In particular, this paper identifies the Industry 4.0 challenges addressed by the modeling community, but also the challenges that seem to be less investigated.
工业4.0建模的系统映射研究
工业4.0是制造业的一个愿景,在这个愿景中,智能、互联的生产系统优化了整个价值链,以降低成本和上市时间。工业4.0的核心是未来的智能工厂,其成功部署需要解决来自多个领域的挑战。基于模型的系统工程(MBSE)是这种复杂系统的关键推动者,这可以从关键会议和期刊中相关出版物数量的增加中看出。本文旨在通过对该主题的系统映射研究来描述智能工厂MBSE的现状。采用详细的搜索策略,最初确定了1466篇论文。其中,222篇论文被选择并使用特定的分类方案进行分类。因此,我们提出了工业4.0建模社区所关注的问题,如何调查这些问题,在哪里发布这些问题,以及由谁发布。由此产生的研究景观可以帮助理解、指导和比较该领域的研究。特别地,本文确定了建模社区解决的工业4.0挑战,以及似乎较少调查的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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