FAHP decisions developing in low cost CPPs

Galleguillos, Rosa E.; Altamirano, Santiago; García, Marcelo V.; Pérez, Federico; Marcos, Marga

doi:10.1109/ccac.2017.8355246

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Expressing that Cyber-Physical Production Systems frameworks are associated with the virtual world of advanced systems as indicated by IoT ideas. Galleguillos et al (Galleguillos et al 2017) underlined that adaptable and flexible controllers of these frameworks should really be executed. Due to this reason, they made a suggestion dependent on the Fuzzy AHP procedure for improving advanced systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Prioritization of barriers for Industry 4.0 adoption in the context of Indian manufacturing industries using AHP and ANP analysis

Nimawat

Gidwani

2021

International Journal of Computer Integrated Manufacturing

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Industry 4.0 has gained enormous attention from the academic and industrial community in recent years and lacks empirical research. This makes it imperative to reveal and perceive barriers for Industry 4.0 adoption. The article explores the prioritization of industry 4.0 adoption barriers in the context of Indian manufacturing industries utilizing the Analytical hierarchy process (AHP) and Analytic network process (ANP) analysis and validation through sensitivity analysis state-of-the-art in the area of Industry 4.0. According to the literature review and validated by specialists from industries and academicians, 15 barriers have been considered and categorized into four criteria. Both models provide enterprises with a direct and trouble-free approach to prioritize the barriers for Industry 4.0 adoption. The two approaches illustrated the impression of being influential in selecting industry 4.0 adoption barriers with high and low priority. The two methods achieved almost similar findings. Adopting such AHP and ANP models on Industry 4.0 barriers in manufacturing industries will enable executives, specialists, and decision-makers of Industry 4.0 to effectively categorize these barriers and concentrate on critical barriers when implementing Industry 4.0 in their respective industries.

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Section: Literature Reviewmentioning

confidence: 99%

Prioritization of barriers for Industry 4.0 adoption in the context of Indian manufacturing industries using AHP and ANP analysis

Nimawat

Gidwani

2021

International Journal of Computer Integrated Manufacturing

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“…Digitalization is based on basic technologies of organizations, how the supply chain can be adjusted in real time when the current process is changed, answers are required. Stating that Cyber Physical Production Systems (CPPS) systems are connected to the virtual world of global digital networks according to Internet of Things (IoT) concepts, Galleguillos et al [14] emphasized that flexible and reconfigurable controllers of these systems should be implemented. For this aim, they made a recommendation based on the Fuzzy Analytical Hierarchy Processes (FAHP) methodology for the development of digital networks.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Difficulties of SMEs in Industry 4.0 Applications by Analytical Hierarchy Process and Analytical Network Process

2018

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The concept of Industry 4.0 is seen as a recent paradigm in the manufacturing sector. The use of new production and management technologies required by the concept of Industry 4.0 is very important for small enterprises in order to keep up with the competition. However, most enterprises look at these requirements in a negative way. This study analyzes the propulsion forces of Industry 4.0 adopted in small and medium enterprises. By analyzing the difficulties in the transition process of small and medium-sized enterprises (SMEs) to Industry 4.0, the company contributes to the determination of strategic steps taking these results into consideration. This will facilitate the transition of enterprises to Industry 4.0 and progress can be made towards efficient use of resources. A hierarchical structure was established under the four main criteria of innovation, organization, environmental, and financial aspects, and the relative weight of these criteria and sub-criteria were calculated. The surveys conducted on business managers were evaluated using multi-criteria decision-making methods by the analytic hierarchy process method and the analytic network process. At the same time, the interaction between these criteria was taken into consideration and the criteria were re-evaluated by the analytical network process method. The results of the two methods seem to support each other.

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