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1.
Expressing added value in food supply chains
Nejc Zidar, Jernej Turk, Jernej Prišenk, 2023, original scientific article

Abstract: Value-added food supply chains are chains that maintain positive social, environmental, and community values which are integrated into the production process from the primary producer to the final consumer, ensuring economic, social, and environmental sustainability, thus forming a sustainable agricultural and food production system. The evaluation of the value added in each chain is based on indicators, which are a tool to measure changes in the actual situation or to show performance trends in achieving the progress set by the objectives. The presented indicators are based on publicly available statistics and foreign literature that allow measuring value added in specific livestock chains at aggregate level (beef production, pork production and dairy production) and are based on publicly available statistics in the Republic of Slovenia. The need to produce indicators of value added in livestock food supply chains arises from the large differences in structural changes in the sector itself and in the development and economic performance of the various livestock industries.
Keywords: food supply chain, value-added, indicators, sustainability, economic, social and environmental aspect
Published in DKUM: 23.04.2025; Views: 0; Downloads: 2
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Influence of socio-demographic profiles on attitudes toward sustainability and digitalization in logistics and supply chains
Lazar Pavić, Matevž Obrecht, Maja Rosi, 2024, original scientific article

Abstract: This study examines the impact of socio-demographic factors on attitudes towards sustainability and digitalization in logistics and supply chain management. Since a significant gap was identified in this field, study explores how company size, industry sector, and workforce diversity influence strategic planning and operational efficiency within these pivotal sectors of global commerce. The main novelty of the research is to set the roles of technological readiness and knowledge-based factors in shaping organizational responses to sustainability challenges and digital transformation opportunities. By analyzing the correlation between socio-demographic profiles and technological adoption behaviors, the paper aims to provide insights that could help organizations tailor their strategic initiatives to better align with diverse stakeholder needs, enhancing operational efficiency and promoting sustainable practices. This study seeks to fill the gaps in current research by offering a detailed exploration of how sociodemographic diversity impacts the adoption of innovative technologies and sustainability measures within the logistics and supply chain sectors. Results revealed that gender, sector, work position and company size contribute to different understanding and prioritisation of sustainability topics. Managers and team leaders are more focused towards sustainability than the rest of employees and logistics and supply chain sector prefer digitalization over sustainability.
Keywords: socio-demographic profiles, sustainability, digitalization, logistics, supply chain management
Published in DKUM: 17.03.2025; Views: 0; Downloads: 3
.pdf Full text (343,20 KB)
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Valorization of biomass through anaerobic digestion and hydrothermal carbonization : integrated process flowsheet and supply chain network optimization
Sanja Potrč, Aleksandra Petrovič, Jafaru Musa Egieya, Lidija Čuček, 2025, original scientific article

Abstract: Utilization of biomass through anaerobic digestion and hydrothermal carbonization is crucial to maximize resource efficiency. At the same time, supply chain integration ensures sustainable feedstock management and minimizes environmental and logistical impacts, enabling a holistic approach to a circular bioeconomy. This study presents an integrated approach to simultaneously optimize the biomass supply chain network and process flowsheet, which includes anaerobic digestion, cogeneration, and hydrothermal carbonization. A three-layer supply chain network superstructure was hence developed to integrate the optimization of process variables with supply chain features such as transportation modes, feedstock supply, plant location, and demand location. A mixed-integer nonlinear programming model aimed at maximizing the economic performance of the system was formulated and applied to a case study of selected regions in Slovenia. The results show a great potential for the utilization of organic biomass with an annual after tax profit of 23.13 million USD per year, with the production of 245.70 GWh/yr of electricity, 298.83 GWh/yr of heat, and 185.08 kt/yr of hydrochar. The optimal configuration of the supply chain network, including the selection of supply zones, plant locations and demand locations, transportation links, and mode of transportation is presented, along with the optimal process variables within the plant.
Keywords: anaerobic digestion, hydrothermal carbonization, supply chain optimization, process flowsheet optimization, mathematical programming
Published in DKUM: 07.02.2025; Views: 0; Downloads: 7
.pdf Full text (2,71 MB)

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Predicting the probability of cargo theft for individual cases in railway transport
Lorenc Augustyn, Małgorzata Kuźnar, Tone Lerher, Maciej Szkoda, 2020, original scientific article

Abstract: In the heavy industry, the value of cargo transported by rail is very high. Due to high value, poor security and volume of rail transport, the theft cases are often. The main problem of securing rail transport is predicting the location of a high probability of risk. Because of this,the aim of the presented research was to predict the highest probability of rail cargo theft for areas. It is important to prevent theft cases by better securing the railway lines. To solve that problem the authors' model was developed. The model uses information about past transport cases for the learning process of Artificial Neural Networks (ANN) and Machine Learning (ML).The ANN predicted the probability for 94.7% of the cases of theft and the Machine Learning identified 100% of the cases. This method can be used to develop a support system for securing the rail infrastructure.
Keywords: rail transport security, supply chain disruption, drones, security support systems, cargo theft, predicting, logistics, artificial neural network, drone monitoring, machine learning
Published in DKUM: 28.01.2025; Views: 0; Downloads: 4
.pdf Full text (1,93 MB)
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7.
Eco-design processes in the automotive industry
Ewelina Staniszewska, Dorota Klimecka-Tatar, Matevž Obrecht, 2020, original scientific article

Abstract: Every year approximately 70 million passenger cars are being produced and automotive industry is much bigger then just passenger cars. The impact of automotive industry on the environment is tre-mendous. From extracting raw materials through manufacturing and assembly processes, exploitation of the vehicle to the reprocessing irreversible, extensive environmental damage is done. The goal of this study is to show how implementing eco-design processes into supply chain management can re-duce the impact of automotive industry on the environment by e.g. reducing the use of the fuel, in-creasing the use of recycled materials. Focus is on evaluation of current state, environmental impacts and potential improvements for design, raw materials, manufacturing and distribution and end-of-life phase.
Keywords: eco-design processes, automotive industry, supply chain management, business processes, cleaner production, environmental impacts, logistics
Published in DKUM: 18.12.2024; Views: 0; Downloads: 5
.pdf Full text (495,46 KB)
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Information communication technology and supply chain efficiency in manufacturing SMES in Bulawayo Province in Zimbabwe
Sithokozile Bafana, Simba Mutsvangwa, Felix Chari, 2024, original scientific article

Abstract: There has been a global plummeting trend of failure in most manufacturing Small and Medium Enterprises (SMEs) due to purported supply chain inefficiency. It is imperative for clothing manufacturing SMEs in developing nations like Zimbabwe, with reference to Bulawayo Province, which lacks digitization to integrate Information and Communication Technology (ICT) solutions into their supply chain operations to improving efficiency and maintain competitiveness in the global market. Thus, the purpose of the study was to evaluate ICT and supply chain efficiency in the clothing manufacturing SMEs in Bulawayo Province. Employing the pragmatic approach, data were collected using semi-structured questionnaires from a sample of 107 from a total population of 147 that were triangulated with 15 interviews from clothing manufacturing SMEs in Bulawayo. A simple linear regression analysis through Ordinary Least Squares was conducted to test the relationship between ICT and supply chain efficiency. The results show that ICT has a positive and statistically significant effect on cost performance, agility and delivery performance in Bulawayo clothing manufacturing SMEs. By prioritizing ICT adoption, managers can achieve better cost management, increased responsiveness to market demands, and enhanced delivery capabilities. It is recommended that clothing manufacturing SMEs in Bulawayo should embrace the ICT. Further studies should examine the relationship between ICT and supply chain efficiency in manufacturing SMEs across different industries and nations.
Keywords: information and communication technology, supply chain efficiency, SMEs (small and medium enterprises), material requirement planning
Published in DKUM: 17.12.2024; Views: 0; Downloads: 5
.pdf Full text (587,01 KB)
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9.
Supply chain execution : Sourcing and customer service
Lukasz Hadas, Julia Jancy, Sonja Mlaker Kač, Mateja Čuček, reviewed university, higher education or higher vocational education textbook

Keywords: supply chains, sourcing, services, logistics, higher education textbooks
Published in DKUM: 13.12.2024; Views: 0; Downloads: 7
.pdf Full text (3,42 MB)
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10.
Developing a framework for closed-loop supply chain and its impact on sustainability in the petrochemicals industry
Lobna Tag el Sheikh, Rebeka Kovačič Lukman, 2022, original scientific article

Abstract: Companies rely on formulating, implementing, and monitoring strategies in social, environmental and economic aspects to ensure that they achieve their goals and keep abreast of developments related to sustainability requirements. Therefore, our study develops a system to integrate the closed-loop supply chain approach in the petrochemical sector. The research follows the quantitative-based approach by collecting data through a questionnaire directed to employees in the supply chain departments, including 230 questionnaires that were collected. Correlation and structural equation models (SEM) were used. This technique consists of multiple regression analysis and factor analysis and analyses the structural relationship between the underlying structures and the measured variables. The results indicated a significant relationship between the supply chains that have a loop from the following perspectives: economic motivations, customer awareness, environmental legislation, and sustainability. By increasing financial reasons, customer awareness and environmental legislation, sustainability will increase as they all move in the same direction. Therefore, the overall effect of a closed-loop supply chain is positive and significant.
Keywords: closed-loop supply chain, petrochemicals, cost effectivity, product stewardship, multiple regression analysis, factor analysis, sustainability
Published in DKUM: 12.12.2024; Views: 0; Downloads: 4
.pdf Full text (1,60 MB)
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