Abstract
Industry 4.0 covers the use of technologies such as: internet of things, cloud computing, machine-to-machine integration, communication, 3D printing and big data. In this context, cross-functional integration is essential for the product development. The objective of this paper is to characterize the literature on cross-functional integration in product development processes in the context of the technologies of Industry 4.0. A systematic literature review was carried out to analyze the literature on this topic. There is a growing trend of publications mentioning cross-functional integration in product development, in the studied context. The mainstream of cross-functional integration research focuses on cooperation between people, in the sense of integrating structures of function and power. However, in the context of Industry 4.0, there is a shift in this emphasis on people. People continue to be oriented to cooperate with each other to obtain joint results at the firm level. However, this cooperation is more related to the development of skills to deal with cyber-physical processes and with the knowledge produced by machines and information systems. This kind of interaction ability between human, machine and system, can generate a new way to study cross-functional integration.
Highlights
The paradigm of Industry 4.0 includes the use of technologies such as the Internet of things, cloud computing, machine integration engine, communication, 3D printing and big data
From a managerial point of view, the information systems are linked to cyber-physical systems of production and datamining capabilities of senior management, generating the digitization of processes and results (CANDI; BELTAGUI, 2018)
The objective of this study is to characterize the literature on functional integration initiatives in product development processes in the context of the Industry 4.0 technologies
Summary
The paradigm of Industry 4.0 includes the use of technologies such as the Internet of things, cloud computing, machine integration engine, communication, 3D printing and big data. The integrated use of these tools can generate flexibility, economy and sustainability in the production, and the processes become intensive in communication, automation, storage and processing of data (Wang; Wang, 2016). Oesterreich and Teuteberg (2016) categorize key technologies of Industry 4.0 on: statistical tools for simulation and modeling of data, smart factories technologies (e.g. cyberphysical systems, additive manufacturing and internet of things), technologies of scanning and virtualization (e.g. Big data and cloud computing.). Buliga and Voigt (2018) identified four levels of users of these technologies: Craft manufacturers, have motivation to implement Industry 4.0. Industry 4.0 users: there are innovations in production, equipment, people and interaction with consumers. From a managerial point of view, the information systems are linked to cyber-physical systems of production and datamining capabilities of senior management, generating the digitization of processes and results (CANDI; BELTAGUI, 2018)
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