Abstract

Establishing mass-customization practices, in a sustainable way, at a time of increased market uncertainty, is a pressing challenge for modern producing companies and one that traditional automation solutions cannot cope with. Industry 4.0 seeks to mitigate current practice’s limitations. It promotes a vision of a fully interconnected ecosystem of systems, machines, products, and many different stakeholders. In this environment, dynamically interconnected autonomous systems support humans in multifaceted decision-making. Industrial Internet of Things and cyberphysical systems (CPSs) are just two of the emerging concepts that embody the design and behavioral principles of these highly complex technical systems. The research within multiagent systems in manufacturing, by embodying most of the defining principles of industrial CPSs (ICPSs), is often regarded as a precursor for many of today’s emerging ICPS architectures. However, the domain has been fuzzy in specifying clear-cut design objectives and rules. Designs have been proposed with different positioning, creating confusion in concepts and supporting technologies. This paper contributes by providing clear definitions and interpretations of the main functional traits spread across the literature. A characterization of the defining functional requirements of ICPSs follows, in the form of a scale, rating systems according to the degree of implementation of the different functions.

Highlights

  • The need and pursuit for highly adaptable systems are not an exclusive endeavour of Industry 4.0 and more generally of what is understood as the 4th Industrial Revolution

  • There is normally a disconnection between reference architectures, where desirable characteristics are embedded in a conceptual design, and their subsequent realization that often does not adhere to the conceptual principles

  • This paper proposes an requirements engineering (RE)/requirement management (RM) exercise that, drawing from reference literature in supporting concepts for what is understood as I4.0, provides a synthetized interpretation of the main requirements pending upon cyberphysical production systems (CPPS) development

Read more

Summary

Introduction

The need and pursuit for highly adaptable systems are not an exclusive endeavour of Industry 4.0 and more generally of what is understood as the 4th Industrial Revolution. Even if the early incarnations of FMS where relatively unsuccessful, the need went on as mass customization became the excellence paradigm in production [2]. Mass customization works generally in economies of scale with relative stable markets. At a time when unpredictable market demands are accompanied by almost continuous and fast-paced innovation processes and production sustainability is the new excellence paradigm, the existing automation practices that had for some years supported mass customization processes are starting to subside. For more than two decades researchers have turned to distributed computation practices and artificial intelligence in the quest for new metaphors for developing, designing, and implementing more adaptive production systems [3, 4]. Along came the concepts of holonic manufacturing systems (HMS) [6] and bionic manufacturing systems [7]

Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.