Acta Logistica

Distribution centres play a key role in the supply chain and their insufficient number will entail supply chain disruptions —supply delays and problems, as well as lost profits. Currently, distribution centres in Kazakhstan are located only in large cities. However, the growth of e-commerce (from 11729.9 billion tenge to 15763.7 billion tenge in 2022 compared to 2020) determines the need to solve this problem. Our study establishes the dependence between the areas of distribution centres and the e-commerce volume. This analysis, unlike the existing ones, examines the effect of the growth of e-commerce volumes on the increasing number of distribution centres as a prerequisite for the development of the logistics infrastructure of Kazakhstan against the background of the increase in the volume of goods supplied from China in transit to Europe. The aim of the study was to analyse the role of distribution centres in the logistics infrastructure of Kazakhstan. We justify the need to increase the number of distribution centres due to the increase in both turnover in goods transit, wholesale, and retail trade. The introduction of distribution centres ensures the continuous movement of goods and strengthens the connection between suppliers and consumers. The emergence of new technologies and innovations, combined with favourable market conditions and political support, creates favourable conditions for the development of reliable distribution centres that can improve logistics efficiency and contribute to the overall economic development of Kazakhstan.

Zhanna Arynova

Gulmira Nakipova

Aigul Nurmaganbetova

Gulzhan Alina

Aigul Orazbayeva

Dinara Kemirkulova

The role of distribution centres in the logistics infrastructure of Kazakhstan

哈萨克斯坦物流基础设施中配送中心的作用

Ports and terminals are directly related to world economic development due to international trade. In this sense, port management has expanded actions in terms of sustainability and mainly linked to circular economy (CE). The port environment is not alien to society's developments and for that it needs to improve its efficiency and operability, reducing the waste of time, processes and waste generated within it. In this context, this research links the Lean 4.0 concept with the circular economy as an alternative for the development of the port sector. The study is based on highlighting the challenges and advantages of implementing CE in ports through Lean 4.0. To achieve the objective of this research, a literature review was carried out based on the Sytematic Research Flow - SSF method proposed by Ferenhof and Fernandes (2016), followed by a content analysis based on Bardin (2011). Based on the findings, it was possible to list the key elements linked to Lean 4.0 correlated with the circular economy to stimulate the sustainability of the port sector. It was identified that Lean 4.0 presents itself as a simplifier for the implementation of the circular economy culture, since it enables the alignment of people to identify waste, stimulates innovation and the development of a culture aimed at continuous improvement in the sector.

Andrei Bonamigo

Pamela Arcanjo

Maria Goncalves

Newton Pereira

Dierci Cunha da Silveira

Lean 4.0 in port management: an alternative to support the development of the circular economy in the sector

港口管理中的精益4.0：支持该行业循环经济发展的一种替代方案

In modern marketing, analysing and acting on buyers' needs is very important. Companies try to listen to the opinions of consumers because "they are always right". Marketing for commercial logistics plays an important role. All the goods in the world are transported by air, sea, pipeline, road and rail. Based on this, large logistics companies that need customer orders and customers who need their services use modern marketing strategies to sell their services. The consumer wants the company to do everything for him at the highest level. He does not turn to the first company he meets but evaluates the market and chooses the best one. The success of the company depends on which strategy the company chooses. Therefore, analysing these strategies is important for society, and only after analysing many examples used in the modern world will it not make a mistake in its choice. The research aims to analyse the innovative marketing strategies companies use in commercial logistics to sell their products and services successfully. In total, five modern marketing strategies were analysed, which are diametrically different and, due to their uniqueness, specific to different types of companies.

Annamaria Behunova

Lucia Knapcikova

Arina Vechkileva

Analysis of the usage of modern marketing strategies in commercial logistics

商业物流中现代营销策略的使用分析

The study examines the service quality dimensions of e-hailing taxi services for passenger flow in Johannesburg. The objective is to determine the major service quality characteristics that affect customer satisfaction for using e-hailing taxis in Johannesburg. Questionnaires were randomly distributed to 499 e-hailing taxi users in Johannesburg. This study identified and tested service quality dimensions relevant to passengers’ desire for a transport service. The study added safety and affordability to the traditional five service quality factors for analysis. The data collected were subjected to exploratory factor analysis (EFA) and regression. EFA identified reliability, tangibility, safety, and empathy as the major service quality factors for e-hailing taxis in Johannesburg. It was found that these variables significantly affect customer satisfaction with e-hailing taxi services in Johannesburg. A change in reliability will contribute about 19% to customers’ perception of e-hailing taxi services, 28% for tangibility, 15% for safety and 19% for empathy, respectively. The study indicates the importance of safety as a major service quality dimension of public transportation. It implies that e-hailing taxi operators need to pay attention to passengers’ safety with vigilance and appropriate safety measures.

Adedotun Adenigbo

Joash Mageto

Hemisha Makan

Rose Luke

Service quality of e-hailing taxi services in Johannesburg

约翰内斯堡网约车服务质量

The study investigates the impact of the IoT on the cost and quality of last-mile logistics, the critical and often challenging final phase of the supply chain. With the relentless growth of e-commerce and the increasing demands for efficient and reliable delivery services, understanding how IoT affects last-mile logistics is increasingly becoming important. Through the integration of IoT technologies such as GPS tracking, RFID systems, and real-time data analytics, the study aimed to assess the extent to which the application of the IoT affects the cost and quality of last-mile distribution in South Africa. As a result, the study provides valuable insights into the potential cost savings or increases associated with IoT adoption, quality challenges and areas of improvement, customer satisfaction and the overall performance of last-mile distribution systems. The methodology involves the collection of primary data from selected distribution companies in South Africa. Statistical software was used to analyse the data to shed light on the tangible benefits and challenges associated with IoT adoption in last-mile logistics as they relate to cost and quality. The research findings indicate that implementing IoT in last-mile distribution systems in South Africa can significantly improve efficiency and effectiveness. The IoT integration with existing infrastructure enables seamless communication, proactive decision-making, and reduced delivery delays. Overall, by leveraging IoT technologies and real-time data analysis, organisations can optimise their distribution processes, reduce costs, improve quality, and enhance overall customer experience.

Masithembe Kafile

Thokozani Mbhele

Improving last mile distribution systems through the Internet of Things: a South African case

通过物联网改进最后一英里配送系统：一个南非案例

The aim of this article is to find the most appropriate inventory storage strategies in a new warehouse according to the Covid period. Based on the company's analysis and preferences, we have concluded that the most suitable inventory storage strategy will be ABC, XYZ and penetration analysis according to which the inventory will be produced to the company's warehouse. The result of the paper is the intersection of these analyses. Based on the penetration analysis, we found that AAXX group has 27% of the product items. The CXX group of manufactured items has a high turnover, but accounts for only 1% of the total items. The AA category has a low turnover but accounts for only 0.63% of the product items. As a result of the penetration analysis, we concluded that the categories AAXX, AAX, AXX, AX and BXX are suitable to be produced in large quantity in stock. For categories AAY, AY, BX and BY, it is recommended to plan the production of items for stock with caution and not to produce them in such large quantities. The regularity of the analysis of these methods is very important. The intersection of ABC and XYZ analyses indicates the regularity of applying these methods due to the existence of excess or non-replenishable stocks.

Iveta Kubasakova

Jaroslava Kubanova

Utilization of the intersection of ABC and XYZ analysis in stock planning in the warehouse by Covid period

新冠疫情期间仓库库存规划中ABC与XYZ分析交集的利用

The importance of anticipating and preventing disruptions is underscored by the increased operational complexity and vulnerability caused by advancements in supply chain management (SCM). This has spurred interest in integrating machine learning (ML) and deep learning (DL) into supply chain risk management (SCRM). In this paper, we introduce a tailored method using ML and DL to improve SCRM by predicting supplier failures, thus boosting efficiency and resilience in SC operations. Our method involves five phases focused on classifying and predicting supplier failures in non-conforming deliveries. This involves forecasting failure quantities and estimating total disruption costs. Initially, data from an automotive company is selected, and appropriate potential features and algorithms are selected, performance metric aligns with case study objectives, facilitating method evaluation are used such as: Precision, recall, F1-score, and accuracy metrics assess classification models, while Mean Squared Error (MSE) is used for regression tasks. Finally, an experimental design optimizes models, assessing success rates of various algorithms and their parameters within the chosen feature space. Experimental results underscore the success of our methodology in model development. In the classification task, the Random Forest (RF) classifier achieved 86% accuracy. When combined with the Gradient Boosting classifier, the ensemble exhibited enhanced accuracy, highlighting the complementary strengths of both algorithms and their synergistic impact, surpassing the performance of RF, Support Vector Regression (SVR), k-Nearest Neighbors (KNN), and Artificial Neural Network (ANN). Noteworthy is the performance in regression tasks, where Linear Regression, ANN, and RF Regressor displayed exceptionally low MSE compared to other models.

Nisrine Rezki

Mohamed Mansouri

Integrating machine learning and deep learning for enhanced supplier risk prediction

融合机器学习和深度学习以增强供应商风险预测

One of the main issues in the agro-industry supply chain is identifying and ranking different risk factors to maintain business continuity. This study discusses the agro-food supply chain risk assessment for smoked skipjack tuna in Ambon. Related literature and expert interviews identify risk factors that arise along the supply chain. These risk factors are contained in internal risk, company external operational risk, and macro-level risk. This research aims to evaluate comprehensively the risk factors of the smoked skipjack agro-industry supply chain, which are a priority to be addressed. The decision-making framework uses the BWM (Best Worst Method) to determine each risk factor's relative weight, followed by a sensitivity analysis to determine how robust the outcome is. Experts pick the risk factor assessment, and then an optimization model is modelled to obtain the weight of each risk factor, which is calculated with the help of Lingo software. The findings show that three risk factors will be prioritized to be addressed out of the eleven risk factors assessed, namely "Quality of the final product," "Financial instability," and "degradation of fish populations." Sensitivity analysis was also carried out to see the overall robustness of the results achieved. The weight of the selected risk factor ("final product quality (R1c)") has its weight value changed from 0.1 to 0.9 with an increase of 0.1. These findings are expected to help smoked skipjack tuna agro-industry managers make decisions to reduce supply chain risks and better administration management to maintain the sustainability of their business processes.

Daniel Paillin

Machfud Machfud

Hartrisari Hardjomidjojo

Muhammad Romli

Johan Tupan

Supply chain risk assessment using best worst method: a case study of agro-industry skipjack tuna in Ambon - Indonesia

使用最佳最差方法的供应链风险评估：以印尼安汶的鲣鱼农业产业为例

In this article, a field study is conducted to analyze the state of enterprises in Morocco in the face of digitalization by studying large, small, and medium-sized enterprises. This study focuses mainly on researching the factors that influence their decision to adopt a digital strategy. Using the AHP multi-criterion method, a precise selection was made based on the opinions of experts in the field. To make this choice, a precise methodology was used: brainstorming and a weighted vote. An online survey was conducted, and 34 companies were interviewed to analyze the ways in which they are adopting digitalization, to present the most commonly used digital tools, and to study the impact, benefits, and obstacles of a digital strategy. A data analysis was applied by combining R with SPSS. The findings of this study show that Morocco is beginning to incorporate digitization into its practices, and more precisely, into the supply chain's operations, but that this use is still quite limited to certain tools and practices. They emphasize the underlying causes, highlight the benefits of digitization, and compare the levels of corporate maturity compared to digital. Six factors have been identified to influence this decision. This article contributes to an existing gap in empirical studies that highlight the integration of digital strategies, focusing on the case of Morocco. It provides useful data that can significantly improve management methods and encourage the integration of digital strategies, regardless of their size, making it a significant contribution to researchers and even industries.

Abbreviation	AL
Journal Impact	0.97
Quartiles(Global)	MANAGEMENT(Q4)

Publication Information	Publisher: 4S go, s.r.o，Publishing cycle: ，Journal Type: journal，Open Access Journals: Yes
Basic data	Year of publication: 2019，Proportion of original research papers: 97.92%，Self Citation Rate:50.00%， Gold OA Rate: 96.71%
Journal Fees	$Details
Average review cycle	网友分享经验：4 Weeks

Acta Logistica

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The role of distribution centres in the logistics infrastructure of Kazakhstan

Lean 4.0 in port management: an alternative to support the development of the circular economy in the sector

Analysis of the usage of modern marketing strategies in commercial logistics

Service quality of e-hailing taxi services in Johannesburg

Improving last mile distribution systems through the Internet of Things: a South African case

The role of distribution centres in the logistics infrastructure of Kazakhstan

Utilization of the intersection of ABC and XYZ analysis in stock planning in the warehouse by Covid period

Integrating machine learning and deep learning for enhanced supplier risk prediction

Supply chain risk assessment using best worst method: a case study of agro-industry skipjack tuna in Ambon - Indonesia

A survey study on Industry 4.0 for Moroccan manufacturing

ISSN	1339-5629
h-index	8