A MABAC Model Based on Linguistic Bipolar Complex Fuzzy Soft Information for Production Management in Taiwan

Abstract

Production management is dominant and essential in Taiwan because it confirms and certifies the effective use of timely delivery, resources, and high-quality output in an expert-driven and highly competitive manufacturing sector. With Taiwan being a world-famous player in industries, especially for precision machinery, semiconductors, and electronics. A modern difficulty in production management in Taiwan is the severe deficiency among significant manufacturing organizations, particularly in semiconductors, where over 30,000 posts remain empty, containing roles in maintenance, production, and quality control. For the valuation of the above problems, we consider the following production management systems in Taiwanese enterprises, such as the lean manufacturing system, smart production system, the automated inventory control system, the internet of things integrated manufacturing system, and the sustainable production management system. Therefore, we construct the procedure of the linguistic bipolar complex fuzzy soft multiattribute border approximation area comparison model and linguistic bipolar complex fuzzy soft multi-attribute decisionmaking model based on the proposed operators. For the assessment of the above problem, we resolve some numerical examples based on the above two models and also derive the activity of the comparative analysis between proposed and existing ranking values to enhance the efficiency and rationality of the derived models.