Fuzzy logic-based decision-making system design for safe forklift truck speed: cast cobblestone production application

This paper presents a model in which "fuzzy logic multi-criteria decision-making method" is suggested to determine real-time forklift speed to reduce occupational accidents caused by operators. The model developed in the study uses the variables: the weight and height of the load carried by the forklift, the number of products on its pallet, the places with high risk of accident, and the wet-dry condition of the ground. In order to evaluate the performance of the suggested model, a data set comprises 128 different conditions in cast cobblestone production. Determined forklift speeds were compared with the forklift speeds determined by fuzzy logic using statistically analyses. Results showed that fuzzy logic model has a high accuracy and low error. Fuzzy logic modeling has proved to be a good way to decide the real-time speed of the forklifts being used in production without compromising occupational safety. Friedman test and Wilcoxon test have been used to estimate the significance of fuzzy logic method. The fuzzy logic results showed that our method achieved better results compared to beginner operator.