An integrated interval-valued Pythagorean fuzzy WISP approach for industry 4.0 technology assessment and digital transformation

Pratibha Rani (), Dragan Pamucar (), Arunodaya Raj Mishra (), Ibrahim M. Hezam (), Jabir Ali () and S. K. Hasane Ahammad ()
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Pratibha Rani: Koneru Lakshmaiah Education Foundation
Dragan Pamucar: University of Belgrade
Arunodaya Raj Mishra: Government College Raigaon
Ibrahim M. Hezam: King Saud University
Jabir Ali: Sharda University
S. K. Hasane Ahammad: Koneru Lakshmaiah Education Foundation

Annals of Operations Research, 2024, vol. 342, issue 2, No 7, 1235-1274

Abstract: Abstract Implications of industry 4.0 (I4.0) for sustainable development have gained widespread attention from the perspectives of the circular economy, triple bottom line and sustainable supply chain. Evaluation of I4.0 enabling technologies to achieve digital transformation in the photovoltaic supply chain (PVSC) considers several aspects of sustainability and uncertain information. Therefore, the present work aims to develop a new decision-making framework for identifying I4.0 enablers as the ways to achieve digital transformation in the PVSC. The present framework is developed based on the combination of generalized Dombi operators, integrated objective-subjective weighting model and the weighted sum product method under interval-valued Pythagorean fuzzy (IVPF) environment. For this purpose, firstly some generalized weighted Dombi operators and their properties are introduced to aggregate the IVPF information. Second, an integrated weighting procedure is developed by combining the objective weights through proposed interval-valued Pythagorean fuzzy entropy-based formula and subjective weights through IVPF-Pivot Pairwise relative Criteria Importance Assessment model. Further, the practicability and effectiveness of the proposed model is tested on a case study of I4.0 enablers to achieve digital transformation in the PVSC from sustainability perspective. The result shows the significance degrees of social, environmental and economic dimensions are 0.2258, 0.4947 and 0.2795, respectively and the big data and data analytics should be chosen as the most suitable choice among others for given data. At last, sensitivity and comparative analyses are discussed to illustrate the reliability and robustness of the obtained result. The study emphasizes the practical consequences of the role and use of the triple bottom line in I4.0 implementation in PVSC sectors. The findings of this study help the policymakers and managers to achieve digital transformation in the photovoltaic sustainable supply chain through I4.0 technologies.

Keywords: Interval-valued pythagorean fuzzy set; Generalized Dombi operators; Industry 4.0; Entropy; Pivot pairwise relative criteria importance assessment; Weighted sum product (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10479-023-05355-w

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