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

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METHODOLOGIES AND APPLICATION

Fuzzy logic-based decision-making system design for safe forklift truck speed: cast cobblestone production application Ercu¨ment Nes¸et Dizdar1



Og˘uz Koçar2

 Springer-Verlag GmbH Germany, part of Springer Nature 2020

Abstract This paper presents a model in which ‘‘fuzzy logic multi-criteria decision-making method’’ is suggested to determine realtime 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. Keywords Fuzzy logic application  Safely forklift speed  Forklift accident  Fuzzy decision-making  Safely logistics

1 Introduction Logistic operations play an important role in organizations, especially with high production capacity, from the intake of the raw material to the storage of the product. Forklifts are the most widely used and practical carrying equipment in logistic operations (Larsso and Rechnıtzerb 1994; Ersoy 2015; Ma et al. 2019). They are the machines used to lift, move and stack the heavy loads for which human power is not enough to do (Dinler 2000). Forklifts are an indispensable part of internal logistics which play an important role in time-efficient operations of loading, unloading and stacking (Perttula and Salminen 2015).

Communicated by V. Loia. & Og˘uz Koc¸ar [email protected] 1

Occupational Safety and Health Department, Yapraklı Vocational High School, C¸ankırı Karatekin University, C¸ankırı, Turkey

2

Mechatronics Engineering Department, Faculty of Engineering, Bu¨lent Ecevit University, Zonguldak, Turkey

Forklifts are heavier than cars since they must use counterweight to balance the load they carry. A 2.5 tons capacity counterbalanced forklift can carry more than 3 tons, and it weighs about 6 tons when loaded. Each of front wheel carry about 2.5 tons of load (Larsso and Rechnıtzerb 1994). Wheelbase of forklifts is designed narrower than cars to enable forklift to move more flexible in narrow aisles (Lifschultz and Donoghue 1994). Due to structure and design of the forklift, the stability rectangle of the car becomes stability triangle in forklifts (Saric and Hadiasha