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1.
Electric vehicle charging stations coverage : a study of Slovenia
Klemen Prah, Mark Kmetec, Matjaž Knez, 2022, original scientific article

Abstract: To promote the penetration of electric vehicles (EVs), it is of great importance to plan and construct charging stations rationally. In this sense, the state of Slovenia's charging station coverage was analysed. Using discrete and network geographic information system (GIS) models, with ArcGIS software, the density of electric vehicle charging stations (EVCSs), geographic distribution, nearness along a street network, and clustering analyses were performed. A survey conducted among Slovenian users of EVs supported the GIS analysis. It was found out that the distribution of EVCSs has an east-northeast to west-southwest directional trend. Only 13% of EVCSs are accessible from the nearest motorway at a distance of 500 meters or less. An insight into intrinsic clustering structure revealed 11 clusters of EVCSs from which the most distinct is the cluster on the area of Ljubljana. The scientific contribution of the research is in the integration of GIS, spatial analysis and the results of a survey to study the coverage of EVCSs in a certain region. Spatial analyses are carefully selected, and, in complementarity, give a comprehensive picture of EVCSs coverage. The research is important for further spatial planning of EVCSs.
Keywords: electric vehicles, electric vehicle charging stations, spatial analysis, geographic information systems, GIS, logistics, Slovenia
Published in DKUM: 02.07.2024; Views: 70; Downloads: 3
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2.
Logistics aspect of organizational culture and normative commitment in electric energy supply chain
Sebastjan Lazar, Vojko Potočan, Sonja Mlaker Kač, Gözde Yanginlar, Dorota Klimecka-Tatar, Matevž Obrecht, 2022, original scientific article

Abstract: Companies are increasingly aware that employees are an important factor in success, so they pay more and more attention to them. Because of that, organizational culture and normative commitment are also included as ex-tremely important factors. The research includes a systematic and comprehensive review of the literature and at the same time obtaining and analysing data from practice through a survey. The research focuses on employees from the logistics departments in the supply chain of electronic component production and supply. Group of com-panies across Europe were included in the survey (Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Re-public, Germany, Hungary, Latvia, Lithuania, North Macedonia, Poland, Romania, Russia, Serbia, Slovenia and Ukraine). The research demonstrates the realization that the types of classification of organizational culture have different effects on direct and indirect normative commitment. Gender differences were also found. The re-search-based on the calculated average mean values shows the classifications of organizational culture and nor-mative commitment. The latter follows the organizational culture with minor deviations. The order of classifica-tion of organizational culture follows the current economic situation, where according to the studied criteria, the first is a culture of the market. The research shows that men’s rate of normative commitment is better than wom-en's, while in organizational culture the situation is exactly the opposite. One of the most significant findings is based on the Pearson correlation coefficient with the SPSS program was found that, according to the classifica-tion, Hierarchy culture has a positive effect on indirect normative commitment.
Keywords: organizational culture, commitment, normative commitment, logistics, supply chain, environmental management, ISO 14001
Published in DKUM: 26.06.2024; Views: 98; Downloads: 7
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3.
Bi-objective assignment model for lean order picking in a warehouse
Brigita Gajšek, Hrvoje Cajner, Tihomir Opetuk, Goran Đukić, Marcin Butlewski, 2022, original scientific article

Abstract: With the introduction of Lean Warehousing, we are committed to using lean principles for more efficient warehousing operations, which are performed with quality and safety. Manual order picking, on which the paper is focused, is currently considered the most unfriendly to humans because, in the long run, it contributes to the appearance of musculoskeletal disorders. We record not only the increase in the average age of employees in warehouses but also in the number and duration of sick leave due to back and muscle pain. This paper explores the possibility of productive work while preventing order pickers from Work-Related Musculoskeletal Disorders. Using a laboratory experiment, we determine retrieval times for units with different characteristics and study required postures by guidelines of Revised NIOSH Lifting Equation. The final goal is to create a bi-objective assignment model.
Keywords: warehousing, order picking, ergonomics, intralogistics, lean logistics, manual order picking, productivity, revised NIOSH lifting equation, warehousing, work-related musculoskeletal disorders
Published in DKUM: 13.06.2024; Views: 65; Downloads: 2
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4.
Road freight transport forecasting : a fuzzy Monte-Carlo simulation-based model selection approach
Dejan Dragan, Simona Šinko, Abolfazl Keshavarzsaleh, Maja Rosi, 2022, original scientific article

Abstract: As important as the classical approaches such as Akaike's AIC information and Bayesian BIC criterion in model-selection mechanism are, they have limitations. As an alternative, a novel modeling design encompasses a two-stage approach that integrates Fuzzy logic and Monte Carlo simulations (MCSs). In the first stage, an entire family of ARIMA model candidates with the corresponding information-based, residual-based, and statistical criteria is identified. In the second stage, the Mamdani fuzzy model (MFM) is used to uncover interrelationships hidden among previously obtained models criteria. To access the best forecasting model, the MCSs are also used for different settings of weights loaded on the fuzzy rules. The obtained model is developed to predict the road freight transport in Slovenia in the context of choosing the most appropriate electronic toll system. Results show that the mechanism works well when searching for the best model that provides a well-fit to the real data.
Keywords: forecasting road transport, electronic toll system, Monte Carlo simulation, ARIMA models, logistics
Published in DKUM: 11.06.2024; Views: 86; Downloads: 4
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5.
Exploring digital twins in the transport and energy fields : a bibliometrics and literature review approach
Milena Kajba, Borut Jereb, Tina Cvahte Ojsteršek, 2023, review article

Abstract: Logistics and transport are major sources of energy consumption that still rely heavily on fossil fuels. Especially in the freight sector, finding means to optimise fuel consumption and energy efficiency are increasingly important. Digital twins’ adaptation in logistics and transport is not as frequent as in production, but their implementation potential is immense. This technology can replicate real environments, allowing verification of various scenarios without real-life application, leading to optimal implementation outcome faster and more efficiently. This paper aims to research digital twins’ use in logistics and transport, focusing on digital twins’ potential and effects to optimise energy consumption. Firstly, previous research on digital twins in specified fields was identified, followed by a quantitative literature review. The latter focused on codifying the selected publications based on criteria such as modality, specific environment, energy consumption, etc. Furthermore, a qualitative overview of 57 relevant publications on digital twins’ use in logistics and transport was made. The main contribution of this paper is the systematic overview of digital twins from the viewpoint of energy optimisation in one of the most energy-dependent sectors. This gives researchers a good starting point for further research and digital twins’ practical implementation cases.
Keywords: logistics, transport, digital twin, energy consumption, optimisation, literature review, bibliometrics
Published in DKUM: 22.04.2024; Views: 92; Downloads: 10
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6.
A Framework for adopting a sustainable reverse logistics service quality for reverse logistics service providers : a systematic literature review
Ahmed Dabees, Mahmoud Barakat, Sahar Sobhy El Barky, Andrej Lisec, 2023, review article

Abstract: Reverse logistics has become a competitive need for sustainability. Lack of resources to apply reverse logistics solutions has severely impacted many supply chains’ costs and customer service, making it impossible to meet the expectations of return processing. In those conditions, client demands for higher service quality are the main drivers of effective sustainability operations. This study aims to establish the sustainable reverse logistics service quality (SRLSQ) theoretical framework offered by reverse logistics services providers (RLSPs). The study conducts a systematic methodology protocol by examining reliable academic periodicals using PRISMA guidelines based on the research scope and identified 56 papers from 2011–2022, with the main research focus on SSQ and RLSQ dimensions to develop a research framework. By re-evaluating those factors using the SRLSQ framework and by including sustainability into the service quality approach, this study expanded the practicability of reverse logistic service quality and sustainable service quality. The results point to a knowledge gap when it comes to quantifying the impact of reverse logistics operation process through a triple bottom line approach on customer outcomes, relationship quality (RQ), and mediation of operation risk factor, which could be examined within various contexts in subsequent work.
Keywords: sustainability, reverse logistics, sustainable reverse logistics service quality, customer satisfaction, operational risk
Published in DKUM: 09.04.2024; Views: 170; Downloads: 5
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7.
Sustainability orientation and focus in logistics and supply chains
Sebastjan Lazar, Dorota Klimecka-Tatar, Matevž Obrecht, 2021, original scientific article

Abstract: Sustainable development, logistics, and supply chain are being combined into three increasingly connected and topical global research areas. Therefore, this paper's novelty identifies and defines the priorities of the UN Sustainable Development Goals and sustainable development dimensions in supply-chain- and logistics-management-related studies in the last decade. Knowing logistics and supply chain sustainability focus and orientation is valuable information for researchers and managers to adapt and mitigate their business logistics according to the forecasted trends. The paper provides a systematic and comprehensive review of the literature and is based on 116 scientific papers published between 2010 and 2020 in 73 international journals in the Scopus and Web of Science databases. The study defines focus with integrating environmental, social, and economic sustainability for logistics- and supply-chain-related studies. It emphasizes primary and secondary links of investigated studies with 17 United Nations sustainable development goals. The bibliometric analysis also examined keyword relations. One of the main contributions is that economic sustainability was identified as the most represented one-dimensional sustainability focus. It was revealed that supply chain studies integrated all three sustainability dimensions more frequently (50.60%) than logistics studies, which were equally related to studying two- or three-dimensions of sustainability (39.39%). The most significant findings are also that studies were identified to be oriented primarily towards "responsible consumption and production", "industry, innovation, and infrastructure" and "affordable and clean energy" and secondary especially on "sustainable cities and communities".
Keywords: sustainable development goals, sustainable development, supply chain management, logistics
Published in DKUM: 19.02.2024; Views: 271; Downloads: 11
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8.
XVII. International Conference on Logistics in Agriculture 2023 : Conference Proceedings
2023, proceedings

Abstract: 17th International Conference on Agricultural Logistics organized by: Landscape Governance College GRM Novo mesto, Grm Novo mesto – center of Biotechnology and Tourism, the Faculty of Logistics of the University of Maribor, the Municipality of Sevnica and Cooperatice Union of Slovenia. The central theme of this year’s conference will be “Climate changes of logistics in agriculture“. The conference has become traditional and paves the way for a different view of logistics in connection with agriculture.
Keywords: logistics, agriculture, local food, electric vehicles, international conferences, proceedings
Published in DKUM: 21.12.2023; Views: 386; Downloads: 14
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9.
Drone last mile delivery : an assessment of the viable market and security potential of drone delivery
Igor Grofelnik, Uroš Godnov, Marjan Sternad, 2022, original scientific article

Abstract: Purpose: the paper includes a review of the literature in the field of drones, drone technology, possible implementation in the field of the last mile concept, legislation, suitability of technology in the field of security, weather conditions, social acceptance and later focuses on checking the possible implementation of drones according to the set parameters. Methodology: for the purposes of research and obtaining answers to the posed research question and hypotheses, we used the method of literature review in the selected field, panel data analysis, conducted interviews with experts in the field of delivery drones in the Republic of Slovenia, and conducted secondary research. Results: the results show an assessment of the possible implementation of drones based on the analysis of the obtained data and interviews. We determined a realistic assessment of the potential of delivery drones, in which we included several vital aspects necessary for implementation. Conclusion: it was found that the current technology is not yet fully adequate, and significant technological improvements are also needed. It is also necessary to plan integrated urban spatial solutions that will enable safe and efficient delivery in the supply chain. Namely, delivery with drones is currently ineffective due to flight safety, harmful sound emissions and the inability to fly in bad weather conditions. Based on a literature review and a survey among large logistics companies, it was found that there are still many barriers to implementation due to legal norms and regulations, which are currently very constructive. It is unlikely, however, that parcel delivery will take off in an urban environment soon, as there are still many unknowns. With proper planning and use of suburban consolidation centres, e-vans, e-cars and bicycles are currently economically viable for last mile delivery.
Keywords: drones, last mile, urban logistics, parcel delivery
Published in DKUM: 18.09.2023; Views: 458; Downloads: 12
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10.
Dynamic discrete inventory control model with deterministic and stochastic demand in pharmaceutical distribution
Slobodan Antić, Lena Djordjevic Milutinovic, Andrej Lisec, 2022, original scientific article

Abstract: This paper presents an inventory control problem in a private pharmaceutical distribution company from the Republic of Serbia. The company realizes that distribution within nine neighbouring countries and inventory control in the pharmaceutical supply chain is centralized. In order to constitute a conceptual model of the problem, we propose the modern control theory concept. The conceptual model is based on the specific practical assumptions and constraints of the supply chain. Thereafter, a dynamic discrete mathematical model of inventory control is formulated to reflect elements of the system and their relations. The model considers multiple pharmaceutical products, variable lead time, realized stochastics and deterministic demand, and different ordering policies (Lot for Lot and Fixed Order Quantity). Deterministic demand is represented as a sales forecast for each product per month, while stochastic demand is generated as a random variation of sales forecast in a range of ±20%. Two objective functions are defined as the maximization of the difference between planned average inventory level and realized average inventory level, and the minimization of stock-out situations. We develop a procedure for the determination of reorder points and the number of deliveries to achieve proposed objective functions. The model overcomes shortages of theoretically-based distribution requirements planning models and offers solutions to the limitations in inventory control practice. Real-life data, collected over two years, are used for the validation of the proposed model and the solution procedure. Numerical examples illustrate the model application and behaviour.
Keywords: distribution, inventory management, logistics, pharmaceutical companies
Published in DKUM: 09.08.2023; Views: 416; Downloads: 28
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