ÖMER FARUK GÖRÇÜN
Associate Professor
Kadir Has University
Mustafa Çanakçıoğlu
Associate Professor
İstanbul Gelişim University
Cem Niyazi Durmuş
Senior Research Associate
Kadir Has University
Associate Professor
Kadir Has University
Mustafa Çanakçıoğlu
Associate Professor
İstanbul Gelişim University
Cem Niyazi Durmuş
Senior Research Associate
Kadir Has University
A Novel Multicriteria Decision-Making Approach for Evaluating Auditing Systems in the Logistics Industry
Logistics and Intralogistics SystemsThe main objective of this investigation is to develop an innovative hybrid decision-making framework to evaluate the suitability of Industry 4.0-based inspection systems for the logistics industry. The model's main contribution is its ability to produce rational solutions suitable for real-world conditions. The method's innovative decision-making mechanism helps to overcome many structural problems and limitations of traditional decision-making tools. In this context, the model combines the newly developed MSTF (Multi-Stage Transparency-Focused Objective Weighting Method) with the CN-DURMUS (Cumulative Multi-Dimensional Utility Ranking Method) ranking technique. The results revealed that A2 – AI-Based Intelligent Audit Systems would be the most suitable choice for the logistics industry. At the same time, C7 Audit Data Processing Speed was determined as the most dominant criterion.
