Intuitionistic Fuzzy-Valued Neutrosophic Multi Sets for Performance Evaluation of Tobacco Intelligent Manufacturing Systems Based on the Industrial Internet Environment

Abstract

The tobacco industry is going through a significant transition toward intelligent 
manufacturing systems (IMS) because of the growth of the Industrial Internet and smart 
manufacturing. By creating a systematic multi-criteria assessment methodology, this study seeks 
to assess tobacco IMS performance in the context of the Industrial Internet environment. 
Production efficiency, system integration, energy economy, real-time data responsiveness, 
predictive maintenance, and consistency in product quality are among the key performance 
metrics that are identified and evaluated. Six different IMS configurations are included in the 
study, ranging from sophisticated 5G-based ecosystems to antiquated IoT-enabled systems. 
These systems' performance is ranked using a hybrid decision-making process that combines 
expert judgment and computer models. This study uses the Intuitionistic Fuzzy-Valued 
Neutrosophic Multi Sets. The neutrosophic set is used to solve uncertainty information. The 
results provide useful information on the advantages and disadvantages of existing technology 
and emphasize how important digital infrastructure, artificial intelligence, and networking are to 
the modernization of the tobacco business. By offering an industry-specific application with wide
ranging implications for digital industrial transformation, this study adds to the expanding 
corpus of work on intelligent manufacturing. 

DOI: 10.5281/zenodo.16183280