Matthias R. Guertler, David Schneider, Justus Heitfeld, Nathalie Sick
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引用次数: 0
Abstract
Abstract Industry 4.0 (i4.0) is central to advanced manufacturing. Building on novel digital technologies, it enables smart and flexible manufacturing with systems connected across company boundaries and product lifecycle phases. Despite its benefits, the adoption of i4.0 has been limited, especially in small and medium-sized enterprises. A key challenge is the technological complexity of i4.0. While advanced functionality requires technological complexity, it complicates an understanding of which enabling technologies are particularly useful and required. This article presents a framework to support successful i4.0 adoption across the entire product generation process through a systematic matrix-based dependency analysis of i4.0 solutions and underlying i4.0 technologies. Through increasing transparency around technological complexity of i4.0 solutions, this research contributes to a better understanding of which technologies are required for specific i4.0 solutions and which technologies could be strategic enablers for a broad variety of i4.0 applications. Knowing these technological dependencies supports both, the systematic adoption of existing i4.0 solutions and the development of new i4.0 solutions. This also sets the basis for a future socio-technical investigation.
期刊介绍:
Research in Engineering Design is an international journal that publishes research papers on design theory and methodology in all fields of engineering, focussing on mechanical, civil, architectural, and manufacturing engineering. The journal is designed for professionals in academia, industry and government interested in research issues relevant to design practice. Papers emphasize underlying principles of engineering design and discipline-oriented research where results are of interest or extendible to other engineering domains. General areas of interest include theories of design, foundations of design environments, representations and languages, models of design processes, and integration of design and manufacturing. Representative topics include functional representation, feature-based design, shape grammars, process design, redesign, product data base models, and empirical studies. The journal also publishes state-of-the-art review articles.