Dashboard Services for Pragmatics-Based Interoperability in Cloud and Ubiquitous Manufacturing

Ferreira, Luís; Putnik, Goran D.; Cruz-Cunha, Maria Manuela; Putnik, Zlata; Castro, Hélio; Alves, Cátia; Shah, Vaibhav

doi:10.4018/ijwp.2014010103

Cited by 7 publications

(2 citation statements)

References 20 publications

(33 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Functionality of cloud manufacturing services and control was explored by (Xin-yu & Wei-jia, 2011). A communicational ability embedded cloud platform was presented by (Ferreira et al, 2014) to enhance interoperability. The work proposed a cloud-based web platform to support dashboard integrating communicational services and described an experimentation to prove that efficient interoperability in dynamic environment could be achieved only with human intervention.…”

Section: Cloud Manufacturing Platformsmentioning

confidence: 99%

Integration of Cutting-Edge Interoperability Approaches in Cyber-Physical Production Systems and Industry 4.0

Estrada-Jimenez

Pulikottil

Nguyen

et al. 2021

Advances in Systems Analysis, Software Engineering, and High Performance Computing

View full text Add to dashboard Cite

Interoperability in smart manufacturing refers to how interconnected cyber-physical components exchange information and interact. This is still an exploratory topic, and despite the increasing number of applications, many challenges remain open. This chapter presents an integrative framework to understand common practices, concepts, and technologies used in trending research to achieve interoperability in production systems. The chapter starts with the question of what interoperability is and provides an alternative answer based on influential works in the field, followed by the presentation of important reference models and their relation to smart manufacturing. It continues by discussing different types of interoperability, data formats, and common ontologies necessary for the integration of heterogeneous systems and the contribution of emerging technologies in achieving interoperability. This chapter ends with a discussion of a recent use case and final remarks.

show abstract

Section: Cloud Manufacturing Platformsmentioning

confidence: 99%

Integration of Cutting-Edge Interoperability Approaches in Cyber-Physical Production Systems and Industry 4.0

Estrada-Jimenez

Pulikottil

Nguyen

et al. 2021

Advances in Systems Analysis, Software Engineering, and High Performance Computing

View full text Add to dashboard Cite

show abstract

“…All these processes come possible with Data Science algorithms and tools, where great amount of related (or not) data can be analysed and existing relevant information retrieved, timely [30]. Big Data algorithms are suitable for such services [31] and effective dashboards are needed and possible to develop [32], since interesting and efficient data visualization libraries are emerging.…”

Section: Related Workmentioning

confidence: 99%

Secure Services Integration and Edge Computing for Effective Beekeeping

et al. 2021

View full text Add to dashboard Cite

Many of the issues that require resolution are not easy to mitigate just from the technology perspective. The ancestral learned logic of processes, the people traditions, and many other variants define inner contexts that make the adhesion and efficient use of information technologies a delicate process. The enormous geographical dispersion of the beekeeping economic activity, the mostly amateur profile of beekeepers, and the specificity in the traditional way as the activity is managed, compromises the applicability of integrative measures based on ICTE. Efficient and integrated management of a no-professionalized economic activity depends on two basic principles: i) the existence of effective tools capable of managing that activity and its synergies with other related activities, and ii) an infrastructure (technological, procedural, legal) that supports services properly profiled for any actor in that activity. This paper describes the work-in-process sBee - Smart Beekeeping, an applied research project that sought to integrate emerging technologies on the innovative management of critical issues that beekeeping needs to overcome. Electronic devices, Internet-of-things, advanced management algorithms, and innovative visualization services were explored. The global system architecture, its supporting services, and the communication infrastructure are here described. The integration of both internet-of-things and communications services, with the common beekeeping’s management tasks, levered a proposal for improving this activity to become more effective. Furthermore, an advanced technological supporting platform was created and experimented, prepared for further developments, on mitigating emergent challenges that the digitization promotes, namely the security and traceability on food and related agriculture value-chains, as well as on the predictive and intelligent perception of current and future scenarios.

show abstract