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      On the Design Complexity of Cyberphysical Production Systems

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      Complexity
      Hindawi Limited

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          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.

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          Reconfigurable Manufacturing Systems

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            Design Techniques and Applications of Cyberphysical Systems: A Survey

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              Reference architecture for holonic manufacturing systems: PROSA

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                Author and article information

                Journal
                Complexity
                Complexity
                Hindawi Limited
                1076-2787
                1099-0526
                June 10 2018
                June 10 2018
                : 2018
                : 1-13
                Affiliations
                [1 ]Department of Management and Engineering, Division of Manufacturing Engineering, Linköping University, 58183 Linköping, Sweden
                Article
                10.1155/2018/4632195
                29136e6a-a243-40b7-9928-848be6b6a43e
                © 2018

                http://creativecommons.org/licenses/by/4.0/

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