Minimization of transportation risks in logistics by choosing a cargo delivery route with the minimal projected number of road accidents

Oklander, Мykhailo; Yashkina, Oksana; Yashkin, Dmytro

doi:10.15587/1729-4061.2019.181612

Cited by 8 publications

(2 citation statements)

References 13 publications

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“…In order to identify risks, there must be evaluation. Assessing the risks may be both quantifiable and qualifiable (Oklander et al, 2019). Any business firm or company aims to improve itself in terms of managing economic, financial, and logistics matters, among other things.…”

Section: Introductionmentioning

confidence: 99%

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2021

IMRJ

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This paper intends to understand the view of Samsung Data Systems Thailand employees towards international logistics risks based on their personal working experience. Its methodology uses phenomenological approach to cluster logistics risks and subsequently analyzes these risks in the context of international logistics operations. Additionally, this paper includes mitigating strategies against these risks amid the COVID-19 pandemic. The review of related literature identifies some research gaps, which consequently aided in the formulation of research questions. Qualitative method served as the nature of research and thematic analysis was then employed in order to generate the codes and determine the themes that emerged, extracted, and then evaluated out of the responses of the 15 purposely selected participants. Findings revealed that logistics delivery and open communication within Samsung SDS turned out to be the prevalent issues that were perceived. Mitigating measures and strategies were also suggested in connection in with the concluding results. Several recommendations were then forwarded to answer the pressing needs and issues that Samsung SDS in Thailand faced and continues to face as perceived by the employees.

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Section: Introductionmentioning

confidence: 99%

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2021

IMRJ

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“…Ferrier found that real-time traffic monitoring is beneficial because it is fast and accurate [3]. An approach of minimization of transportation risks based on determining the shortest path presented by Ukrainian researchers O. Yashkina and D. Yashkin [4] method gives all possible routes for cargo transportation with a corresponding projected number of road accidents. Then finding the route that has a minimal projected number of road accidents at each stage.…”

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Delivery Routes Optimization Using Machine Learning Algorithms

Verbytskyi¹

2023

Eastern Europe: economy, business and management

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Delivery route optimization is a crucial concern in the logistics industry, affecting delivery times, costs, and customer satisfaction. The conventional methods for optimizing delivery routes are time-consuming and require substantial manual efforts. To address these limitations, they have increasingly used machine learning algorithms for more efficient and effective optimization. This paper reviews modern techniques for delivery route optimization using machine learning algorithms, including the key challenges faced by delivery companies. Metaheuristic methods, reinforcement learning, and machine learning are discussed, along with their advantages and limitations. In developing a delivery route optimization system, factors such as the number of vehicles, their capacity, delivery time windows, road networks, and customer demand are considered. Different optimization objectives, such as minimizing delivery time, reducing transportation costs, and maximizing customer satisfaction, are presented. Finally, the paper highlights future research directions, including multi-agent systems, swarm intelligence, and hybrid algorithms. This paper provides a comprehensive review of delivery route optimization using machine learning algorithms and can be useful for practitioners and researchers in the logistics industry.

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Sustainable development of logistics systems: features of accounting and cost analysis

Amanseikova¹,

Kudaibergenov²,

Berdimurat³

2022

Rivista Di Studi Sulla Sostenibilita'

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Optimal and lower prime cost with maintaining quality is one of the important competitive advantages of the enterprise. With this in mind, it is necessary to manage logistical costs, using accounting as one of the tools for planning, analysis, and optimisation of these costs. The purpose of the paper is to study the directions for organising the accounting and to analyse the logistical costs in the framework of sustainable development in terms of transport and warehouse logistics for Ka-zakhstani enterprises. A review of the methodology for accounting for logistical costs, options for such accounting was carried out, 10 enterprises operating in the field of Internet trading in Kazakhstan were studied, their approaches to organising various types of logistical costs were investigated, problems were identified and directions for improvement related to the detailing of accounting purchase of goods), warehouse costs, as well as the use of a planning and analysis system for logistical costs, including financial and opportunity costs associated with the amount of balances and goods turnover in the warehouse. According to the results of the study, it was proposed to use different subsidiary accounts to account for goods at the purchase value billed by the supplier and the costs of delivery to the company's warehouse in order to highlight the logistical costs. Also detailing of ac-counting for warehouse logistical costs is proposed (allocation of sub-accounts for accounting for fixed and variable costs of the warehouse).

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Minimization of transportation risks in logistics by choosing a cargo delivery route with the minimal projected number of road accidents

Cited by 8 publications

References 13 publications

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Delivery Routes Optimization Using Machine Learning Algorithms

Sustainable development of logistics systems: features of accounting and cost analysis

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