Evaluation of the Transitions Potential to Cyber-Physical Production System of Heavy Industries in Turkey With a Novel Decision-Making Approach Based on Bonferroni Function

Abstract

Purpose: This study examines the potential of production systems of the heavy industry branches with the help of cyber-physical systems. Sources of public and private sectors may not be sufficient to transform and develop all heavy industry branches simultaneously. Because of that, policymakers can determine priority industries for development and growth, which are sustainable and balanced in a country. Methodology: In current study, the proposed approach uses the LMAW (Logarithm Methodology of Additive Weights) technique to identify priority sectors. The LMAW is a novel MCDM (Multi-Criteria Decision Making) technique providing an opportunity to evaluate both objective and subjective criteria; in addition, it uses the Bonferroni functions to transform the subjective evaluations of decision-makers to the group decision. Findings: It has been observed that the most significant criterion is overall equipment effectiveness (OEE), and the most prior branch of heavy industry is the aerospace industry. Originality: This paper examines the transformation process of the heavy industry branches to the cyberphysical systems by using a new MCDM approach.

Development of the MCDM fuzzy LMAW-grey MARCOS model for selection of a dump truck

“…Z-Numbers, Fuzzy LMAW, Fuzzy CRADIS Evaluation of the Transitions Potential to Cyber-Physical Production System of Heavy Industries in Turkey (Görçün & Küçükönder, 2022).…”

Türkiye’de Yatırım Teşviklerinin Bölgesel Gelişmişlik Farklarını Azaltma Konusunda Etkinliği

“…Demir (2022) used LMAW and DNMA methods to measure the quarterly performance of the deposit banking sector during the COVID-19 pandemic, which has affected the whole world in recent years. Görçün and Küçükönder (2022) made use of the LMAW method to examine the potential of production systems of the heavy industry branches using cyber-physical systems. 2022) determined the criterion weights using the fuzzy version of the LMAW method to contribute to the producers operating in the agricultural sector while selecting the best green supplier.…”