Substantiating the Logistics Chain Structure While Servicing the Flow of Requests for Road Transport Deliveries

Naumov, Vitalii

doi:10.3390/su12041635

Cited by 6 publications

(12 citation statements)

References 28 publications

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“…For the parameter Ξ, any technical or operational indicator of the vehicle operation can be used (e.g., delivery distance, time for loading and unloading operations, vehicle speed, etc.). The most significant indicator characterizing the transport process and its cost indicators are the delivery distance and the consignment weight [51].…”

Section: Proposed Approachmentioning

confidence: 99%

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

et al. 2023

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The estimation of the efficiency of road transport vehicles remains a significant problem for contemporary transport companies, as numerous stochastic impacts, such as demand stochasticity, road conditions uncertainty, transport market fluctuations, etc., influence the technological process. A fuzzy-logic approach is proposed to consider the uncertainty relating to estimating vehicle fleet efficiency. According to the developed approach, vehicle efficiency is described based on a membership function, whereas the efficiency of the whole vehicle fleet is evaluated as a fuzzy set. To demonstrate the developed approach, a case study is depicted for using cargo vehicles to deliver 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: the transport services provided for each of the clients are characterized by numeric demand parameters—the consignment weight and the delivery distance. The completed calculations allowed us to obtain the membership functions for the alternative vehicle models and to present the transport company’s vehicle fleet as a fuzzy set.

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Section: Proposed Approachmentioning

confidence: 99%

“…refer to the market prices in the Kazakhstani market in October 2022. speed, etc.). The most significant indicator characterizing the transport process and its cost indicators are the delivery distance and the consignment weight [51].…”

Section: Proposed Approachmentioning

confidence: 99%

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

et al. 2023

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“…In the existing practice of the organization and implementation of long-distance deliveries, the services of freight forwarding companies are usually used [31,32]. As a rule, freight forwarders (FF) perform long-distance deliveries by using their own fleet, a fleet of local transport companies, or vehicles of other contractors-carriers that are located in the area of operations of the particular FF [33]. International forwarders often have their own freight terminals, means of transport for both long-distance and local transportation, loading and unloading equipment.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The structure of a logistics system (LS) for packaged cargo deliveries is usually implemented based on one of four basic structures of the logistic supply chain (LSC). These structures describe the main types of interaction between all participants of the longdistance delivery process following their interests and capabilities [33]. The first LSC type (LSC1) describes a direct delivery without a freight forwarder.…”

Section: Mathematical Model For Shaping the Optimal Schemes Of Packag...mentioning

confidence: 99%

Shaping the Optimal Technology for Servicing the Long-Distance Deliveries of Packaged Cargo by Road Transport

et al. 2022

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The concept of sustainable transportation of goods as the primary paradigm for designing contemporary logistics systems assumes the use of energy-efficient and affordable modes of transport in a way that guarantees the most cost-efficient variant of the delivery scheme. That especially applies to road transport deliveries, where the number of alternatives for organizing the transportation process is numerous and the choice of the optimal solution is complicated by the multiple stochastic influences of the environment on the technological processes. In this paper, we contribute to solving the problem of shaping the sustainable delivery schemes by proposing an approach to shape the complete set of alternative transport and technological schemes for packaged cargo delivery by road transport. The developed mathematical model allows estimating the efficiency of each alternative delivery scheme for the given request and chooses the best variant that minimizes the total costs of all participants in the delivery process. The proposed algorithms are implemented in the C# programming language within the frame of a class library for modeling transport delivery processes. A case of transport processes for Delivery Ltd. (Kharkiv, Ukraine) is applied to illustrate the procedure of using the developed approach to choose the optimal transport and technological schemes for long-distance deliveries. As the result of simulating the goods transportation processes, we show the regression models that represent dependencies of the total costs for the implementation of a delivery scheme from the parameters of demand for the transportation of goods. These regression models allow estimating the most efficient delivery schemes based on the functional analysis of the obtained dependencies for the given demand parameters.

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“…As a parameter Ξ, any technical or operational indicator of the vehicle operation can be used (e.g., delivery distance, idle time for loading and unloading operations, vehicle speed, etc.). The most significant indicator characterizing the transport process and its cost indicators are the delivery distance and the consignment weight [47].…”

Section: Proposed Approachmentioning

confidence: 99%

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

Igor¹,

Asem²,

Naumov³

et al. 2022

Preprint

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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.

show abstract

Substantiating the Logistics Chain Structure While Servicing the Flow of Requests for Road Transport Deliveries

Cited by 6 publications

References 28 publications

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

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

Shaping the Optimal Technology for Servicing the Long-Distance Deliveries of Packaged Cargo by Road Transport

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

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