A New Risk Analysis Approach for Operational Risks in Logistic Sector Based on Fuzzy Best Worst Method

Abstract

Logistics is one of the sectors that always maintains its importance and develops day by day. In addition to the sector problems that have been solved with technological breakthroughs, new demands and differentiating needs with new developments emerge as new problems in the sector. As in every sector, logistics also carries several risks, and changes in the sector also lead to new risks. To cope with the negative effects of these risks, risk analyzes have great importance in terms of finding solutions to the problems experienced by the sector. In the literature, there are lots of risk analysis methods because of the difficulties and uncertainties in the analysis. In this study, it is the first time we propose a new risk analysis method for the logistic sector based on Fuzzy Best Worst Method (FBWM). The operational risks in the logistics sector have been defined as a result of the sector and literature review. The assessments on the determined risk were collected from three experts through a questionnaire. FBWM was used for weighting and prioritizing risks. Two different methods, Borda Count and Arithmetic Mean were used to aggregate expert opinions and compared. As a result of the study, it was revealed that internal risk factors were highlighted by experts for the logistic operations. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.