CPuS-IoT: A cyber-physical microservice and IoT-based framework for manufacturing assembly systems

@article{Thramboulidis2019CPuSIoTAC,
  title={CPuS-IoT: A cyber-physical microservice and IoT-based framework for manufacturing assembly systems},
  author={Kleanthis Thramboulidis and Danai C. Vachtsevanou and Ioanna Kontou},
  journal={Annu. Rev. Control.},
  year={2019},
  volume={47},
  pages={237-248}
}
Perspectives for IoT-Based Integration of Distributed and Automated Manufacturing Lines for Mass Customization
IoT (Internet-of-things) platforms can connect sensors and devices along supply chains of production and logistics systems, as well as end users of products, allowing for co-designed and customized
An IoT-Based Cyber-Physical Framework for Turbine Assembly Systems
TLDR
This paper considers the final assembly control under uncertainty in turbine assembly workstations and shows that the proposed cyber-physical framework based on Internet of Things can significantly improve the quality and the efficiency of a turbine assembly system.
A Survey: Microservices Architecture in Advanced Manufacturing Systems
TLDR
This paper clearly describes and characterize the Microservices Architecture, compares this new approach to the Service Oriented Architecture, highlights the key (dis)advantages of utilizing Microservice Architecture in building flexible automation systems that fits in 4th industrial revolution needs, and describes the challenges to its future adoption.
Service Computing for Industry 4.0: State of the Art, Challenges, and Research Opportunities
TLDR
A comprehensive review of how service-oriented computing is being employed to develop the required software infrastructure for Industry 4.0 is provided and the major challenges and research opportunities that ensue are identified.
A systematic survey on internet of things: Energy efficiency and interoperability perspective
TLDR
The comprehensive research addresses the various issues such as resource management, fog data analytics, energy consumption, heterogeneity, scalability, and the role of quality of service, data science, machine learning to accomplish interoperability and energy efficiency in IoT.
Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions
Recent developments in manufacturing processes and automation have led to the new industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain which includes: data
A Heuristic Method for Two-sided Assembly Line Reconfiguration in IoT Environment
TLDR
A heuristic method based on the position-oriented enumerative procedure is proposed to deal with the two-sided assembly line rebalancing problem to compute the reassigned tasks among the workstations to minimize the reconfiguration costs.
Context Aware Control Systems: An Engineering Applications Perspective
TLDR
This article presents a concise overview of applications where context aware systems and control methodologies are relevant in the seven societal challenges acknowledged by European policy-makers: Digital Society; Food; Health and Well-Being; Smart Resource Management; Urban Planning, Mobility Dynamics and Logistics; New Energy Demand and Delivery; and Society.
Cloud-managed Service Deployment for Manual Assembly Workstations
TLDR
This paper presents an approach how to manage and deploy functionalities of manual assembly workst stations as services running directly on the workstations from a cloud platform, enabling a significantly higher flexibility while saving effort and costs at the same time.
Automating the process of method-time-measurement
TLDR
This work presents a unique system to measure the time instead of traditional methods in the factories environment and satisfies the requirements to study the recommendations in order to overcome the challenges.
...
...

References

SHOWING 1-10 OF 59 REFERENCES
Cyber-physical microservices: An IoT-based framework for manufacturing systems
TLDR
The concept of microservice is adopted and a framework for manufacturing systems that has the cyber-physical microservice as the key construct is described that can semi-automate the development process for the industrial engineer, who is not familiar with microservices and IoT.
A framework for MDE of IoT-based manufacturing cyber-physical systems
TLDR
A framework that exploits model driven engineering to address the increasing complexity in this kind of systems is presented and was successfully applied on a laboratory case study to demonstrate its effectiveness in terms of flexibility and responsiveness.
The internet of things for smart manufacturing: A review
TLDR
A review of the IoT technologies and systems that are the drivers and foundations of data-driven innovations in smart manufacturing, and a new framework that leverages IoMT and cloud computing to develop a virtual machine network are presented.
IoT and Cloud Computing in Automation of Assembly Modeling Systems
TLDR
IoT and cloud computing are proposed to help a conventional assembly modeling system evolve into an advanced system, which is capable to deal with complexity and changes automatically.
An Advanced Cyber Physical Framework for Micro Devices Assembly
TLDR
This paper outlines the key cyber and physical components which collaborate using cloud-based principles and emerging next generation global environment for network innovation Internet technologies.
Intelligent assembly system for mechanical products and key technology based on internet of things
TLDR
The IIASMP framework, which is based on advanced techniques such as information and communication technology, sensor network, and radio-frequency identification, is presented and key technologies under this framework, including assembly resources identification, information interaction technology, multi-source data perception and fusion, intelligent assembly agent, and value-added data and dynamic self-adaptive optimization are described.
Toward opportunistic services for the industrial Internet of Things
TLDR
The proposed new paradigm of “Opportunistic IoT Service” extends the available models by explicitly considering essential features for service provision, i.e., dynamicity, context-awareness, co-location and transience.
Secure integration of IoT and Cloud Computing
...
...