scispace - formally typeset
Journal ArticleDOI

Resource sharing in cyber-physical systems: modelling framework and case studies

TLDR
A resource sharing-based framework for CPSs that combines elements from graph theory and social welfare to describe complex arrangements of overlapping task and resource communities in CPSs, with the objective of maximising CPS utility through decentralised control is developed.
Abstract
Cyber-physical systems (CPSs) have attracted significant research interest because of their promising applications across different domains; nonetheless, how to effectively model CPSs in real applications is still a challenge. In this article, a resource sharing-based framework (RSBF) for CPSs is developed to enable flexible modelling of a wide range of CPSs and systems of CPSs, with specific focus on resource sharing. RSBF combines elements from graph theory and social welfare to describe complex arrangements of overlapping task and resource communities in CPSs, with the objective of maximising CPS utility through decentralised control. The framework implementation is validated through three case studies: scheduling in smart factories, energy distribution in smart grids and information routing in multi-robot systems. Results show that RSBF can successfully represent the dissimilar systems under study. Furthermore, performance analysis on benchmark scheduling problems yields near-optimal results with less...

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Citations
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Journal ArticleDOI

Industry 4.0: state of the art and future trends

TL;DR: The state of the art in the area of Industry 4.0 as it relates to industries is surveyed, with a focus on China's Made-in-China 2025 and formal methods and systems methods crucial for realising Industry 5.0.
Journal ArticleDOI

The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics

TL;DR: This paper analyses recent literature and case-studies seeking to bring the discussion further with the help of a conceptual framework for researching the relationships between digitalisation and SC disruptions risks and emerges with an SC risk analytics framework.
Journal ArticleDOI

Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management

TL;DR: In this paper, the current state of research in Industry 4.0 operations management studies is discussed and a survey of the state-of-the-art in this area is presented.
Journal ArticleDOI

Challenges for the cyber-physical manufacturing enterprises of the future

TL;DR: A vision of the challenges facing the so-called “Industry of the Future” as studied by the research community of the IFAC Coordinating Committee 5 on Manufacturing and Logistics Systems, which includes four Technical Committees is summarized.
Journal ArticleDOI

A survey on control theory applications to operational systems, supply chain management, and Industry 4.0

TL;DR: This study describes important issues and perspectives that delineate dynamics in supply chains, operations, and Industry 4.0 networks and identifies and systemizes different streams in the application of control theory to operations and supply chain management and engineering in the period from 1960–2018.
References
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Journal ArticleDOI

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Journal ArticleDOI

The Complexity of Flowshop and Jobshop Scheduling

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Proceedings ArticleDOI

Cyber-physical systems: the next computing revolution

TL;DR: The design, construction and verification of cyber-physical systems pose a multitude of technical challenges that must be addressed by a cross-disciplinary community of researchers and educators.
Book

Choice, Welfare and Measurement

TL;DR: Sen's contributions have been collected from many journals in the fields of economics and public affairs and from books that were published between 1966 and 1980 as discussed by the authors and are distributed among five topical sections: Choice and Preference, Preference Aggregation, Welfare Comparisons and Social Choice, Non-utility Information, and Social Measurement.
Journal ArticleDOI

Cyber-physical Systems

W. Wolf
- 01 Mar 2009 - 
TL;DR: Sophisticated control-computing codesign provides unprecedented performance and efficiency levels for cyber-physical systems.
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