Semantic Data Management for a Virtual Factory Collaborative Environment

Nazarenko, Artem A.; Sarraipa, João; Camarinha-Matos, Luís M.; García, Oscar Corcho; Jardim-Goncalves, Ricardo

doi:10.3390/app9224936

Cited by 8 publications

(3 citation statements)

References 50 publications

(64 reference statements)

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“…The efficiency of resource allocation is closely linked with the structure of resource allocation, and the two are inseparable [ 2 , 3 ]. The so-called efficiency of resource allocation refers to the choice of opportunities among various possible uses of resources, focusing on the relationship between cost and income of resources.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Collaborative Management of Environment and Economy in the Internet-of-Things Environment

Han

2022

Computational Intelligence and Neuroscience

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In this study, multidimensional collaborative management of the modern environmental economy is proposed for strategic management, distribution management, service quality management, and warehouse management, which the modern environmental economy enterprises face under the internet-of-things environment. This study studies the law of multidimensional coordination of environmental economy and puts forward the classification of the modern multidimensional coordination of environmental economy. The multidimensional synergetic-order parameter equation of the modern environmental economic system is constructed, and the information synergy is the order parameter of the environmental economic system by accurate elimination method, and the fluctuation and balance of the environmental economic system are accurately controlled by the order parameter. By using structural equation modeling and other quantitative research methods, the corresponding planning and decision-making mathematical model is established, which provides relevant support for the realization of informatization and intelligentization of multidimensional collaborative management of the environment and economy. An incentive internal management collaboration model based on right of entry is proposed. Aiming at the problem of multidimensional environmental economic management coordination, a dynamic multidimensional environmental economic coordination management algorithm was designed by using the decomposition method, and the effectiveness of the algorithm was verified by numerical experiments.

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Section: Introductionmentioning

confidence: 99%

Multidimensional Collaborative Management of Environment and Economy in the Internet-of-Things Environment

Han

2022

Computational Intelligence and Neuroscience

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“…The semantic and ontology-enhanced data management also grounds decision-making and facility management. It is also worth noting that semantics and ontology are the fundamental concepts for the DT and CPS, which could provide dynamic data flows at different scales [18,87].…”

Section: Semantic and Ontology-based Data Managementmentioning

confidence: 99%

BIM and Digital Twin for Developing Convergence Technologies as Future of Digital Construction

et al. 2023

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The construction industry is slow to adopt new technologies. The implementation of digital technologies and remote operations using robots were considered farfetched affairs and unbelievable approaches. However, the effect of COVID-19 on clients and construction companies put high pressure on construction managers to seek digital solutions and justified the need for remote operating or distant controlling technologies. This paper aims to investigate the state of play in construction technology implementation and presents a roadmap for developing and implementing required technologies for the construction industry. The COVID-19 disruption required new methods of working safely and remotely and coincided with the advent of advanced automation and autonomous technologies. This paper aims to identify gaps and 11 disruptive technologies that may lead to upheaval and transformation of the construction sector, perhaps in this decade. A road map for technology implementation can be helpful in developing business strategies at the organizational level as a theoretical measure, and it can facilitate the technology implementation process at the industry level as a practical measure. The roadmap can be used as a framework for policymakers to set industry or company strategies for the next 10 years (2030).

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“…The development of the Internet, automation, intelligent decision support, and other technologies has driven the manufacturing industry to transform towards digitalization, networking, and intelligence [1][2][3]. The manufacturing environment of enterprises has gradually expanded from the traditional workshop to large-scale, highly dynamic networked version [4][5][6][7], such as the CMfg (Cloud Manufacturing), where the cloud platform has pooled massive virtualized manufacturing resources from geographically distributed providers [8,9], including hardware resources (such as machining center, lathe, assembly line, materials, etc. ), software resources (such as CAD/CAE, simulation, computing capabilities), human resources, knowledge resources, and so on.…”

Section: Introductionmentioning

confidence: 99%

An ANN-Based Approach for Real-Time Scheduling in Cloud Manufacturing

2020

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The cloud manufacturing platform needs to allocate the endlessly emerging tasks to the resources scattered in different places for processing. However, this real-time scheduling problem in the cloud environment is more complicated than that in a traditional workshop because constraints, such as type matching, task precedence, resource occupation, and logistics duration, need to be met, and the internal manufacturing plan of providers must also be considered. Since the platform aggregates massive manufacturing resources to serve large-scale manufacturing tasks, the space of feasible solutions is huge, resulting in many conventional search algorithms no longer being applicable. In this paper, we considered resource allocation as the key procedure for real-time scheduling, and an ANN (Artificial Neural Network) based model is established to predict the task completion status for resource allocation among candidates. The trained ANN model has high prediction accuracy, and the ANN-based scheduling approach performs better than the preferred method in terms of the optimization objectives, including total cost, service satisfaction, and make-span. In addition, the proposed approach has potential in the application for smart manufacturing or Industry 4.0 because of its high response performance and good scalability.

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Semantic Data Management for a Virtual Factory Collaborative Environment

Cited by 8 publications

References 50 publications

Multidimensional Collaborative Management of Environment and Economy in the Internet-of-Things Environment

Multidimensional Collaborative Management of Environment and Economy in the Internet-of-Things Environment

BIM and Digital Twin for Developing Convergence Technologies as Future of Digital Construction

An ANN-Based Approach for Real-Time Scheduling in Cloud Manufacturing

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