Search Results (246)

The logistics industry faces challenges from evolving consumer expectations, technological advances, sustainability demands, and market disruptions. Logistics collaboration is in theory perceived as one of the most promising solutions to solve these issues, but here are still a lot of challenges that needs to be better understood and addressed. While vertical collaboration among supply chain actors is well advanced, horizontal collaboration among competing service providers remains under-explored. This study developed a novel methodology based on the COM-B behaviour-change framework to better understand the main challenges, opportunities, capabilities and drivers that would motivate competing companies to exploit the potential of horizontal logistics collaboration. A survey was designed and conducted among 71 logistics service providers in Slovenia, chosen for its fragmented market and low willingness to collaborate. Statistical analysis reveals cost reduction (M = 4.21/5) and improved vehicle utilization (M = 4.29/5) as the primary motivators. On the other hand, maintaining company reputation (M = 4.64/5), fair resource sharing (M = 4.20/5), and transparency of logistics processes (M = 4.17/5) all persist as key enabling conditions. These findings underscore the pivotal role of behavioural drivers and suggest strategies that combine economic incentives with targeted trust-building measures. Future research should employ experimental designs in diverse national contexts and integrate vertical–horizontal approaches to validate causal pathways and advance theory. Full article

Barcodes are ubiquitous in manufacturing and logistics, but defects can reduce decoding efficiency and disrupt the supply chain. Existing studies primarily focus on a single barcode type or rely on small-scale datasets, limiting generalizability. We propose Y8-LiBAR Net, a lightweight two-stage framework for multi-type barcode defect detection. In stage 1, a YOLOv8n backbone localizes 1D and 2D barcodes in real time. In stage 2, a dual-branch network integrating ResNet50 and ViT-B/16 via hierarchical attention performs three-class classification on cropped regions of interest (ROIs): intact, defective, and non-barcode. Experiments conducted on the public BarBeR dataset, covering planar/non-planar surfaces, varying illumination, and sensor noise, show that Y8-LiBARNet achieves a detection-stage mAP@0.5 = 0.984 (1D: 0.992; 2D: 0.977) with a peak F1 score of 0.970. Subsequent defect classification attains 0.925 accuracy, 0.925 recall, and a 0.919 F1 score. Compared with single-branch baselines, our framework improves overall accuracy by 1.8–3.4% and enhances defective barcode recall by 8.9%. A Cohen’s kappa of 0.920 indicates strong label consistency and model robustness. These results demonstrate that Y8-LiBARNet delivers high-precision real-time performance, providing a practical solution for industrial barcode quality inspection. Full article

Banana (Musa paradisiaca) is a climacteric fruit with high postharvest perishability, limiting its export potential. This study evaluated the effectiveness of a natural protein–polysaccharide edible coating—comprising whey, agar, cassava starch, and glycerol—on maintaining the physicochemical quality of green bananas during 28 days of refrigerated storage (13 °C, 95% RH). Seven formulations were tested, including an uncoated control. Physicochemical parameters such as weight loss, firmness, fruit dimensions, peel color, titratable acidity, pH, and soluble solids (°Brix) were systematically monitored. Significant differences were observed among treatments (ANOVA, p < 0.001). The most effective coating (T5), composed of 16.7% whey, 16.7% agar, 33.3% cassava starch, and 33.3% glycerol (based on 30 g/L solids), reduced weight loss by 58.8%, improved firmness retention by 48.4%, and limited sugar accumulation by 17.0% compared to the control. It also stabilized pH and acidity, preserved peel thickness and color parameters (L*, a*, b*), and delayed ripening. These findings confirm the coating’s capacity to form a cohesive semipermeable barrier that modulates moisture loss and respiration, making it a functional and sustainable alternative for extending banana shelf life in tropical supply chains. Full article

Intermodal transport (IT), which implies the combination of several different types of transport to achieve a more efficient and economical movement of goods, is of increasing importance in modern supply chains. In the conditions of globalization, growth of trade flows and increasingly pronounced requirements for sustainability, effective planning and management of intermodal routes have become crucial, which is why their evaluation and ranking are essential for making strategic and operational decisions. Accordingly, this paper aims to identify the most favorable alternative for developing intermodal transport. Deciding on the choice of the most important intermodal route requires consideration of a large number of criteria, often of a mutually conflicting nature, which places this problem in the domain of multi-criteria decision-making (MCDM). Accordingly, this paper develops a hybrid decision-making model in a fuzzy environment, which combines fuzzy DELPHI (FDELPHI), fuzzy factor relationship (FFARE), and fuzzy axial-distance-based aggregated measurement (FADAM) methods. The model enables the identification and evaluation of relevant criteria, as well as the ranking of defined variants under the requirements and attitudes of various stakeholders. The practical application and effectiveness of the developed model were demonstrated and confirmed by a case study for Bosnia and Herzegovina (B&H). The sensitivity analysis showed that even with changes in the weights of the criteria or the elimination of the most important criteria, the solution remains consistent and reliable. This indicates the robustness of the model and suggests that changes in the parameters do not lead to significant changes in the final results. This confirms the validity of the proposed model and increases confidence in its applicability in practice. Full article

The study examines the role of heat pumps (HPs) in achieving the targets set by the Italian National Integrated Energy and Climate Plan (PNIEC) for 2030, using official data and European-recognized calculation methodologies to quantify the renewable energy produced. Starting from the current stock analysis—21 million HPs installed in 2022, providing 39 GW_th of thermal capacity—the research outlines potential growth scenarios based on installation trends from the past three years: Scenario A assumes 2.5 million HPs/year, (b) 2.2 million/year, and (c) 1.6 million/year. Only Scenario A, the most ambitious, achieves full compliance with 2030 targets by ensuring over 4723 ktoe of renewable energy produced. An additional Scenario D is analyzed, based on the lowest annual installed capacity observed in the past three years but with a modified technology mix emphasizing air-to-water (A/W) and ground-source water-to-water (W/W) HPs. This scenario still achieves the 2030 goals, reaching 66.04 GW_th and 4859 ktoe of renewable energy. The results confirm that technology choices will be strategic to meet the targets. The study also highlights the importance of stable incentive policies, proper development of the industrial supply chain, and a plan for the technological upgrading of the existing systems stock. Full article

The Fourth Industrial Revolution and artificial intelligence (AI) technology are driving the transformation of the meat industry from mechanization and automation to intelligence and digitization. This paper provides a systematic review of key technological innovations in this field, including physical technologies (such as smart cutting precision improved to the millimeter level, pulse electric field sterilization efficiency exceeding 90%, ultrasonic-assisted marinating time reduced by 12 h, and ultra-high-pressure processing extending shelf life) and digital technologies (IoT real-time monitoring, blockchain-enhanced traceability transparency, and AI-optimized production decision-making). Additionally, it explores the potential of alternative meat production technologies (cell-cultured meat and 3D bioprinting) to disrupt traditional models. In application scenarios such as central kitchen efficiency improvements (e.g., food companies leveraging the “S2B2C” model to apply AI agents, supply chain management, and intelligent control systems, resulting in a 26.98% increase in overall profits), end-to-end temperature control in cold chain logistics (e.g., using multi-array sensors for real-time monitoring of meat spoilage), intelligent freshness recognition of products (based on deep learning or sensors), and personalized customization (e.g., 3D-printed customized nutritional meat products), these technologies have significantly improved production efficiency, product quality, and safety. However, large-scale application still faces key challenges, including high costs (such as the high investment in cell-cultured meat bioreactors), lack of standardization (such as the absence of unified standards for non-thermal technology parameters), and consumer acceptance (surveys indicate that approximately 41% of consumers are concerned about contracting illnesses from consuming cultured meat, and only 25% are willing to try it). These challenges constrain the economic viability and market promotion of the aforementioned technologies. Future efforts should focus on collaborative innovation to establish a truly intelligent and sustainable meat production system. Full article

Nd–Fe–B permanent magnets are vital for numerous key technologies in strategic sectors such as renewable energy production, e-mobility, defense, and aerospace. Accordingly, the demand for rare earth elements (REEs) enormously increases in parallel to a significant uncertainty in their supply. Thus, research and innovative studies are focus on the investigation of sustainable solutions to the problem and a closed-loop value chain. The present study is based on two benign-by-design approaches aimed at decreasing the recycling loop span by preparing standardized batches of EoL Nd–Fe–B materials to be treated separately depending on their properties, as well as using mechanochemical method for waste processing. The previously reported benefits of both direct recycling and mechanochemistry include significant improvements in processing metrics, such as energy use, ecological impact, technology simplification, and cost reduction. Waste-sintered Nd–Fe–B magnets from motorbikes were collected, precisely sorted, selected, and pre-treated. The study presents a protocol of resource-efficient recycling through mechanochemical processing of non-oxidized sintered EoL magnets, involving the extraction of Nd₂Fe₁₄B magnetic grains and refining the material’s microstructure and particle size after 120 min of high-energy ball milling in a zirconia reactor. The recycled material preserves the main Nd₂Fe₁₄B magnetic phase, while an anisotropic particle shape and formation of a thin Nd/REE-rich layer on the grain surface were achieved. Full article

This study introduces a structured approach for assessing value creation in supplier–buyer relationships by evaluating key value-creation indicators. Recognising strategic collaboration in B2B, the research focuses on identifying key indicators and determining their relevance based on Slovak manufacturing enterprises. Empirical data were collected via questionnaires distributed to manufacturing firms across Slovakia. Based on these data, a decision matrix was developed to quantify the value provided to suppliers and buyers. Results reveal that suppliers prioritise financial reliability and adherence to business terms, while buyers place higher value on service-related attributes such as maintenance and product quality updates. The proposed matrix serves as a practical tool for enterprises seeking to evaluate and enhance their stakeholder relationships. By offering quantifiable insights, the study supports more effective decision-making in supply chain and relationship management. Full article

During farm-to-consumer transport, a live supply chain can aid in maintaining the quality of whiteleg shrimp (Penaeus vannamei). However, the changes in muscle quality and gut microbiota of shrimp in the live supply chain and their interactions are poorly understood. Here, we investigated the dynamics of cumulative survival, muscle quality, and gut microbiota in the key phases of the live shrimp supply chain: post-harvest, post-transport, post-respite, and simulated sales [ambient temperature (AT; 29 °C ± 0.3 °C); low temperature (LT; 23 °C ± 0.3 °C)]. The results suggest that among the various stages, the highest mortality (12%) occurred after transport, while the respite process was associated with enhanced gut-mediated stress resilience. Notably, the transport, 24 h sales, and 40 h sales stages were identified as three potential critical control points. Furthermore, the LT group exhibited an 8% higher survival rate, better quality parameters (34.9% higher hardness), increased abundance of Bacteroidetes (from 3.63% to 7.39%), and a reduced F: B ratio. Correlation analysis identified Xanthomonadales and Oscillospirales as potential biomarkers for maintaining quality, positively linked to survival, muscle hardness, and brightness. Our findings provide valuable insights into optimizing control strategies and microbial biomarkers for enhancing muscle quality in live supply chains and aquaculture. Full article

Wind power forms the major contributor to Germany’s goal of transforming the energy sector and becoming climate-neutral until 2045. The increasing installation of wind turbines comes with an increasing demand for rare-earth elements, especially neodymium, praseodymium and dysprosium, to produce high-performing magnets. However, these elements are considered to be critical raw materials because of their supply risk and economic importance. The European Commission aims to ensure supply chain resilience by improving the circularity of these critical raw materials. After an average of 20 years, wind turbines transition into their End-of-Life phase. This work aims to map the present and future potential of NdFeB magnets used in wind turbines in Germany to be introduced into a circular economy resulting in material amounts of potentially recycled magnets and secondary rare-earth elements considering different potential End-of-Life pathways. Full article

Background: Logistics and supply chain management are crucial in modern commerce, impacting global competition, and both can directly benefit by using enterprise resource planning (ERP) systems. This case study examines key success factors behind a significant operational transformation in a company in the countryside of Alagoas, Brazil. From this context, two research questions emerge: (a) What are the main success factors that drove a significant operational transformation in logistics and supply chain management, and how did these factors impact the company’s growth? (b) How does digital transformation and adopting an ERP impact the company’s logistics activities? Methods: Data were collected through on-site observations, interviews with supervisors and a manager, and analysis of company-provided documentation. Results: The study identified key processes, stakeholders, and practices, focusing on critical success factors, mission-critical processes, and the integration of core and support functions. Notable changes were observed through key logistics performance indicators, tracking the evolution from pre-implementation to post-implementation and revealing their impact on the company’s growth. Conclusions: Improved decision making between departments significantly enhanced performance and growth. The analyzed company’s success can be attributed to a process-oriented approach, digital transformation in logistics, and investment in information technology. Full article

Lithium is a strategic resource due to its use in rechargeable batteries for electric vehicles and electronic devices, driving high demand for extraction. This study analyzes the lithium supply chain in Mexico, focusing on both the extraction of lithium carbonate for export and the potential for producing lithium–ion batteries and lithium grease, considering their environmental impact. The proposed mixed integer linear programming (MILP) model, solved using the GAMS modeling environment, suggests that lithium extraction in Mexico is viable, with Sonora having the greatest extraction capacity. Three solutions were evaluated: Solution A maximizes profits (USD 317.19 M) but has high greenhouse gas (GHG) emissions (1,119,808 tons), Solution B balances profits (USD 186.98 M) with lower emissions (559,904 tons), and Solution C prioritizes emission reduction (44,792 tons) at the cost of lower profits (USD 48.20 M). Solution C implies a scenario with severe environmental restrictions, which indirectly leads to lower investment costs by avoiding the production of lithium grease and batteries. This study highlights the potential impact of tariffs on U.S. lithium exports, with a 25% tariff making exports economically unviable. This underscores the need for Mexico to diversify its export markets. Decision-makers can use this model to explore alternative strategies, reduce dependence on a single market, and optimize the economic and environmental sustainability of the lithium sector. Full article

Increasing interest is being devoted to innovative food products enriched with fruits and vegetables to enhance the nutritional and bioactive properties from the perspective of sustainable management. The addition (10, 15, and 20%) of blueberry fruits derived from two spontaneous flora varieties from the Rarău (G) and Ciocănești (C) mountains (Romania) into ‘French’ bread resulted in increased maximum breaking strength and mechanical work in spherical dough up to 10 and 15% in variety G, and deformation strength up to 20% integration; the untreated control displayed the highest values in the strips of dough. The 20% incorporation of both blueberry varieties in bread enhanced total, open, and closed porosity, maximum strength, gummosity, and chewiness, as well as titratable acidity, total soluble solids, vitamin C, flavonoids, anthocyanins, and antioxidant activity. Resilience and pH showed the highest levels in the untreated bread, which also exhibited the highest values of the color components ‘L’, ‘a’, and ‘b’ in both the bread crust and crumb. The untreated control showed the highest scores for some sensory features, and in most cases, an increasing trend with the fruit integration rising from 10 to 20% was recorded. The addition of blueberries represents an interesting strategy for creating bread as an innovative functional food under sustainable supply chain management. Full article

Blood orange peel flour (BO-pf)—a by-product of the citrus supply chain—still contains bioactive molecules with known health benefits, such as antiradical scavenging activity or an antiproliferative activity regarding tumors. In vitro studies have demonstrated that orange polyphenols showed potential involvement in necroptosis. In addition to previous research, we tested BO-pf on two colorectal cancer cell lines. Using HT29 and Caco2 cells, our experiments confirmed the regulation of inflammasome expression. They provided valuable insights into how BO-pf influences the cancer cell features (i.e., viability, proliferation, and pro- and anti-inflammatory activity). Notably, BO-pf extract is a rich source of polyphenolic compounds with antioxidant properties. Western blot and real-time PCR analyses showed that treatment with BO-pf extract demonstrated beneficial effects by influencing the expression of both pro-inflammatory cytokines (IL-1β, IL-6) through the modulation of the TLR4/NF-kB/NLRP3 inflammasome signaling. Moreover, the results of this study demonstrate that BO-pf extracts can enhance the expression of anti-inflammatory cytokines, such as IL-10 and TGFβ, suggesting that BO-pf extracts may represent a promising functional ingredient to counteract the intestinal inflammatory responses involved in IBD. Full article

This paper presents a low-power, fully differential, programmable gain amplifier (PGA) for ultrasound receiver analog front-ends (AFE). It consists of a programmable attenuator implemented by a capacitive voltage divider and a closed-loop amplifier based on a differential difference amplifier (DDA). A suitable sizing strategy provides orthogonal control over gain and bandwidth. The PGA was designed using a standard 180 nm CMOS process. The gain value can be set between −18 dB and +20 dB in 2 dB steps; the bandwidth can be programmed independently of gain, to values from 5 MHz to 20 MHz, in 5 MHz steps; it draws 600 µA from a 1.8 V supply line. It achieves a differential output swing of 0.8 V peak-to-peak differential with no more than 1.7% total harmonic distortion (THD) and an input-referred noise density of 22 nV/√Hz at 10 MHz, measured at the gain of 20 dB. The PGA exhibits high input impedance and low output resistance for easy integration within the AFE signal chain. The digitally controlled gain and bandwidth make this PGA suitable for ultrasound imaging applications requiring precise time gain compensation and adjustable frequency response and/or additional anti-aliasing filtering. Full article