Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Fuzzy-logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products’ Deliveries in Kazakhstan

Version 1 : Received: 10 December 2022 / Approved: 12 December 2022 / Online: 12 December 2022 (09:13:26 CET)

A peer-reviewed article of this Preprint also exists.

Taran, I.; Karsybayeva, A.; Naumov, V.; Murzabekova, K.; Chazhabayeva, M. Fuzzy-Logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products Deliveries in Kazakhstan. Sustainability 2023, 15, 4179. Taran, I.; Karsybayeva, A.; Naumov, V.; Murzabekova, K.; Chazhabayeva, M. Fuzzy-Logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products Deliveries in Kazakhstan. Sustainability 2023, 15, 4179.

Abstract

The estimation of the efficiency of road transport vehicles remains a significant problem for contemporary transport companies, as the technological process is influenced by numerous stochastic impacts, such as demand stochasticity, road conditions uncertainty, transport market fluctuations, etc. To consider the uncertainty related to the estimation of the vehicles’ fleet efficiency, we propose a fuzzy-logic approach, where the efficiency of a given vehicle is described by a membership function. The efficiency of the whole fleet and its rational structure in that case can be evaluated as a fuzzy set. To demonstrate the developed approach, we depict a case study of using cargo vehicles for deliveries of agricultural products in the Republic of Kazakhstan. The numeric results are presented for the selected models of vehicles that a transport company uses to service a set of clients located in Northern Kazakhstan.

Keywords

fleet structure; road transport; fuzzy logic; transport efficiency

Subject

Engineering, Civil Engineering

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