Evaluating readiness degree for Industrial Internet of Things adoption in manufacturing enterprises under interval-valued Pythagorean fuzzy approach
Issued Date
2022-01-01
Resource Type
eISSN
21693277
Scopus ID
2-s2.0-85131224705
Journal Title
Production and Manufacturing Research
Volume
10
Issue
1
Start Page
226
End Page
256
Rights Holder(s)
SCOPUS
Bibliographic Citation
Production and Manufacturing Research Vol.10 No.1 (2022) , 226-256
Suggested Citation
Sumrit D. Evaluating readiness degree for Industrial Internet of Things adoption in manufacturing enterprises under interval-valued Pythagorean fuzzy approach. Production and Manufacturing Research Vol.10 No.1 (2022) , 226-256. 256. doi:10.1080/21693277.2022.2064931 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/84637
Title
Evaluating readiness degree for Industrial Internet of Things adoption in manufacturing enterprises under interval-valued Pythagorean fuzzy approach
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
The emergence of Industrial Internet of Things (IIoT) technology has caused a paradigm shift in the global manufacturing sector, despite its adoption remains costly, complex, and high risk. Therefore, the assessment of manufacturers’ readiness prior to IIoT adoption has become very important. This study proposes the evaluation framework for IIoT adoption using the interval-valued Pythagorean fuzzy set (IVPFS) method to reduce the uncertainty and ambiquity in human decision-making process. Through the extensive literature review and experts, twelve readiness criteria have been identified and validated. The relative importance weights of readiness criteria were determined by IVPF-AHP and the IIoT adoption readiness degree is calculated by IVPFS. The proposed approach enables manufacturers to make a rational decision on whether they are ready to initiate IIoT or take early remedial actions to increase the success rate of the adoption possibility. A leading Thai agro-food processing manufacturere is applied as an empirical case study.