Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing

Contreras-Masse, Roberto; Ochoa, Alberto; García, Vicente; Pérez-Domínguez, Luis; Elizondo-Cortés, Mayra

doi:10.3390/sym12030368

Cited by 30 publications

(8 citation statements)

References 36 publications

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“…Contreras-Masse et al [ 227 ] applied the PROMETHEE-II approach to choosing the best platform selection in the industrial Internet of Things, considering a relevant set of criteria. The results were compared with TOPSIS and MOORA methods to validate the outcome with the proposed method.…”

Section: Application Areasmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

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Section: Application Areasmentioning

confidence: 99%

A historical review and analysis on MOORA and its fuzzy extensions for different applications

Singh,

Pathak,

Kumar

et al. 2024

Heliyon

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“…Lin et al 35 applied AHP and probabilistic linguistic approach by taking five (5) IoT platforms into account based on features such as scalability, security, usability, market longevity, integration flexibility, pricing and availability. Contreras-Masse et al 36 evaluated three IoT platforms based on varying features by using AHP and PROMETHEE-II approach by selecting the Azure IoT as a more suitable and rational choice for IoT solution. Orji et al 20 evaluated the factors method that influence the adoption of Blockchian technology by using Analytic Network Process (ANP) method.…”

Section: Related Workmentioning

confidence: 99%

IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model

Ali,

Khan

2023

Sci Rep

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The supply chain management (SCM) of COVID-19 vaccine is the most daunting task for logistics and supply managers due to temperature sensitivity and complex logistics process. Therefore, several technologies have been applied but the complexity of COVID-19 vaccine makes the Internet of Things (IoT) a strong use case due to its multiple features support like excursion notification, data sharing, connectivity management, secure shipping, real-time tracking and monitoring etc. All these features can only feasible through choosing and deploying the right IoT platform. However, selection of right IoT platform is also a major concern due to lack of experience and technical knowledge of supply chain managers and diversified landscape of IoT platforms. Therefore, we introduce a decision making model for evaluation and decision making of IoT platforms that fits for logistics and transportation (L&T) process of COVID-19 vaccine. This study initially identifies the major challenges addressed during the SCM of COVID-19 vaccine and then provides reasonable solution by presenting the assessment model for selection of rational IoT platform. The proposed model applies hybrid Multi Criteria Decision Making (MCDM) approach for evaluation. It also adopts Estimation-Talk-Estimation (ETE) approach for response collection during the survey. As, this is first kind of model so the proposed model is validated and tested by conducting a survey with experts. The results of the proposed decision making model are also verified by Simple Additive Weighting (SAW) technique which indicates higher results accuracy and reliability of the proposed model. Similarly, the proposed model yields the best possible results and it can be judged by the precision, accuracy and recall values i.e. 93%, 93% and 94% respectively. The survey-based testing also suggests that this model can be adopted in practical scenarios to deal with complexities which may arise during the decision making of IoT platform for COVID-19 SCM process.

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“…Also, the continuous development of IoT devices and the interaction between them brings into the research area various methodologies based on models and services for the integration of IoT systems or platforms in different areas [ 31 , 32 ].…”

Section: System Overviewmentioning

confidence: 99%

An IoT System Proposed for Higher Education: Approaches and Challenges in Economics, Computational Linguistics, and Engineering

Boca

Ciortea

Boghean

et al. 2023

Sensors

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The technological revolution and the evolution of technology have significantly facilitated the applicability of the IoT in various domains, such as healthcare, transportation, agriculture, retail, education, and, especially, higher education, which encompasses countless areas. Petri nets can be a useful tool to model the behavior of an IoT system. The main objective of this paper was to propose, model, and analyze a complex IoT system for higher education. The system involves the integration of IoT devices for monitoring data. An educational cloud was used as a support tool through which tracking, and control actions were implemented both internally, between the cloud and entities, and externally, between the cloud and the IoT. The system was modeled using Petri nets, which are systems with discrete events, and for simulation, we used the Visual Object Net++ package. Using this application, information was obtained in real time, and it was possible to intervene with changes even in the design phase. The diagrams were easy to read and interpret, which is an advantage for the decision-making system. The general structure of the application was based on n entities, where each entity represented a higher education field. In this paper, we discuss at least three fields: economics, computational linguistics, and engineering.

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Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing

Cited by 30 publications

References 36 publications

A historical review and analysis on MOORA and its fuzzy extensions for different applications

A historical review and analysis on MOORA and its fuzzy extensions for different applications

IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model

An IoT System Proposed for Higher Education: Approaches and Challenges in Economics, Computational Linguistics, and Engineering

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