Search Results (241)

Produce supply chains play a critical role in ensuring fruits and vegetables reach consumers efficiently, affordably, and at optimal freshness. In recent decades, hub-and-spoke network models have emerged as valuable tools for optimizing sustainable cold food supply chains. Traditional optimization efforts typically focus on removing inefficiencies, minimizing lead times, refining inventory management, strengthening supplier relationships, and leveraging technological advancements for better visibility and control. However, the majority of models rely on deterministic approaches that overlook the inherent uncertainties of crop yields, which are further intensified by climate variability. Rising atmospheric CO₂ concentrations, along with shifting temperature patterns and extreme weather events, have a substantial effect on crop productivity and availability. Such uncertainties can prompt distributors to seek alternative sources, increasing costs due to supply chain reconfiguration. This research introduces a stochastic hub-and-spoke network optimization model specifically designed to minimize transportation expenses by determining optimal distribution routes that explicitly account for climate variability effects on crop yields. A use case involving a cold food supply chain (CFSC) was carried out using several weather scenarios based on climate models and real soil data for California. Strawberries were selected as a representative crop, given California’s leading role in strawberry production. Simulation results show that scenarios characterized by increased rainfall during growing seasons result in increased yields, allowing distributors to reduce transportation costs by sourcing from nearby farms. Conversely, scenarios with reduced rainfall and lower yields require sourcing from more distant locations, thereby increasing transportation costs. Nonetheless, supply chain configurations may vary depending on the choice of climate models or weather prediction sources, highlighting the importance of regularly updating scenario inputs to ensure robust planning. This tool aids decision-making by planning climate-resilient supply chains, enhancing preparedness and responsiveness to future climate-related disruptions. Full article

Precisely deciding potential suppliers enables companies to engage with high-caliber partners that fulfill their strategic development requirements, bolster their core competitiveness, and foster sustainable market growth. To mitigate the challenges enterprises face in selecting appropriate suppliers, a recommendation method for potential suppliers tailored to a small-sized dataset is proposed. This approach employs an enhanced Graph Convolutional Neural Network (GCNN) to resolve the accuracy deficiencies in supplier recommendations within a limited dataset. Initially, a supply preference network is created to ascertain the topological relationship between the company and its suppliers. Subsequently, the GCNN is enhanced through dual-path refinements in network structure and loss function, culminating in the adaptive feature perception model. Thereafter, the adaptive feature perception model is employed to adaptively learn the topological relationship and extract the company’s procurement preference vector from the trained model. A matching approach is employed to produce a recommended supplier list for the company. A case study involving 143 publicly listed companies is presented, revealing that the proposed method markedly enhances the accuracy of potential supplier recommendations on a small-sized dataset, thereby offering a dependable and efficient approach for enterprises to effectively evaluate potential suppliers with limited data. Full article

Electric passenger vehicles are set to dominate the European car market, driven by EU climate policies and the 2035 ban on internal combustion engine production. This study assesses the sustainability of this transition, focusing on global warming potential and Critical Raw Material (CRM) extraction throughout its life cycle. The intensive use of CRMs raises environmental, economic, social, and geopolitical concerns. These materials are scarce and are concentrated in a few politically sensitive regions, leaving the EU highly dependent on external suppliers. The extraction, transport, and refining of CRMs and battery production are high-emission processes that contribute to climate change and pose risks to ecosystems and human health. A Life Cycle Assessment (LCA) was conducted, using OpenLCA software and the Ecoinvent 3.10 database, comparing a Peugeot 308 in its diesel and electric versions. This study adopts a cradle-to-grave approach, analyzing three phases: production, utilization, and end-of-life treatment. Key indicators included Global Warming Potential (GWP100) and Abiotic Resource Depletion Potential (ADP) to assess CO₂ emissions and mineral resource consumption. Technological advancements could mitigate mineral depletion concerns. Li-ion battery recycling is still underdeveloped, but has high recovery potential, with the sector expected to expand significantly. Moreover, repurposing used Li-ion batteries for stationary energy storage in renewable energy systems can extend their lifespan by over a decade, decreasing the demand for new batteries. Such innovations underscore the potential for a more sustainable electric vehicle industry. Full article

Accurate gas consumption forecasting is critical for modern energy systems due to complex consumer behavior and regulatory requirements. Deep neural networks (DNNs), such as Seq2Seq with attention, TiDE, and Temporal Fusion Transformers, are promising for modeling complex temporal relationships and non-linear dependencies. This study compares state-of-the-art architectures using real-world data from over 100,000 consumers to determine their practical viability for forecasting gas consumption under operational and regulatory conditions. Particular attention is paid to the impact of data quality, feature attribution, and model reliability on performance. The main use cases for natural gas consumption forecasting are tariff setting by regulators and system balancing for suppliers and operators. The study used monthly natural gas consumption data from 105,527 households in the Volyn region of Ukraine from January 2019 to April 2023 and meteorological data on average monthly air temperature. Missing values were replaced with zeros or imputed using seasonal imputation and the K-nearest neighbors. The results showed that previous consumption is the dominant feature for all models, confirming their autoregressive origin and the high importance of historical data. Temperature and category were identified as supporting features. Improvised data consistently improved the performance of all models. Seq2SeqPlus showed high accuracy, TiDE was the most stable, and TFT offered flexibility and interpretability. Implementing these models requires careful integration with data management, regulatory frameworks, and operational workflows. Full article

The article describes a basic comparison of soldering materials (preforms) from several suppliers, focusing on the main differences in surface structure, internal structure, and contamination on the surface and in the interior of the solder. As a result, we are able to define how different preforms of the surface, preforms related to impurities, or preforms of the structures of the composition parts of the power modules, which are subjected to the soldering process, influence the formation of different void types. Simultaneously an investigation of the impact on the soldering process (heating, cleaning, soldering, cooling), which influences the formation of the solder joint and on the formation intermetallic structure (IMC) and voids, is performed as well. A comparison of the individual results between RTG or X-ray (Radioisotope Thermoelectric Generator) and SAM (Scanning Acoustic Microscopy) are given together with the highlighted differences. This application study was carried out under various settings to investigate the effects of temperature and exposure time on formic acid. The findings confirm that oxide reduction is a time-dependent process. The lowest average void area—0.2%—was observed at the highest tested temperature of 230 °C, and the longest formic acid exposure duration of 300 s. Full article

Sustainable building rating tools (SBRTs) are essential for assessing the environmental impact of buildings, continuously evolving to meet the needs of users. In Nigeria, the effectiveness of these tools depends on their ability to meet the country’s sustainable building standards and environmental goals. While adopting sustainable building rating tools is crucial for realizing the benefits of sustainable construction, little is known about their actual utilization in the Nigerian construction industry. This research aims to (1) assess the level of awareness and utilization of sustainable building rating tools among diverse stakeholders—including architects, engineers, sustainability consultants, developers, contractors, and suppliers—within Nigeria’s Architecture, Engineering, and Construction (AEC) sector, and (2) explore drivers and barriers to their use. The study adopts an explanatory sequential mixed-methods design, starting with a survey of 98 Nigerian building professionals, followed by qualitative analysis. Results show that while 72.4% were aware of SBRTs, only 39.8% had used them, highlighting a gap between awareness and application. Utilization was higher among professionals with greater experience, income, and education. Barriers included high certification costs, tool complexity, and socio-economic factors, while key drivers were government regulations and environmental benefits. The study calls for targeted education, tool simplification, and financial incentives to boost adoption and promote sustainable construction in Nigeria. Full article

This study investigates the quality information disclosure and blockchain technology adoption strategies of suppliers on a third-party e-commerce platform. Based on a Stackelberg game model, the impacts of blockchain technology adoption on the quality information disclosure decision and profit of the third-party e-commerce platform and suppliers are explored. The results indicate that whether blockchain adoption benefits suppliers depends on the unit blockchain cost and the reliability of quality information. Counterintuitively, higher information reliability may disadvantage suppliers under certain conditions. With the increase in unit blockchain cost, the incentive of suppliers to adopt blockchain is weakened, and suppliers need to adjust their strategies of quality information disclosure according to the adoption situation and the cost of blockchain. Adopting blockchain technology may be unfavorable to the suppliers but beneficial to the third-party e-commerce platform; the platform can incentivize suppliers to adopt blockchain and achieve a win-win situation. These findings provide some valuable managerial implications for the quality information disclosure decision of suppliers and blockchain adoption in the e-commerce platform supply chain. Full article

Malting is one of the most energy-intensive stages in beer brewing, yet its environmental impacts remain under-characterized despite recent efficiency gains. Barley and malt transport drive significant greenhouse gas emissions in import-dependent countries, while local, small-scale production can offset those savings through lower process efficiencies or higher resource use. This study conducted a cradle-to-gate Life Cycle Assessment (LCA) of three Italian malthouses—small, medium, and large—using SimaPro 10.2.0.0 and a functional unit of 1 kg of malted barley delivered by bulk truck to local breweries. Primary data on barley, water, methane, and electricity consumption, as well as waste generation, were collected via questionnaires; secondary data were sourced from Ecoinvent and Agri-Footprint. Impact categories were evaluated using the Cumulative Energy Demand (CED) and Product Environmental Footprint (PEF) methodologies. Barley cultivation dominates the footprint (84–92% of total impacts when using local grain). Drying and transport contribute 3.7–4.4% and 0–8.4% of impacts, respectively, depending on facility scale and import share. Smaller malthouses exhibit higher per-kilogram impacts due to lower energy efficiency and transportation modes. Mitigation strategies —including sustainable agriculture, renewable energy adoption, logistics optimization, and process improvements—can substantially reduce impacts. Notably, sourcing barley from low-impact suppliers alone lowers the carbon footprint from 0.80 to 0.66 kg CO_2e/kg, freshwater eutrophication from 227 to 32 CTU_e/kg, land use from 196 to 136 Pt/kg, and overall PEF from 192 to 81 µPt/kg. These results underscore the critical role of feedstock sourcing and process efficiency in decarbonizing malt production and provide a quantitative baseline for targeted sustainability interventions. Full article

Biogas is once again emerging as a potential household cooking option that can help developing countries achieve energy targets. However, the adoption of biogas remains relatively slow, necessitating a diagnosis of the problem the review of literature identified. The review identified key factors influencing the adoption of household biogas technology, including policy and regulatory frameworks, financing mechanisms, public awareness, and socio-economic factors. Therefore, this study involved undertaking a survey where heads of 385 households were interviewed. The study found that low income of households, averaging USD 67/month, is a major constraint to biogas adoption, especially when dirty fuels cost little or nothing. In addition, a lack of awareness of the benefits of biogas over the available dirty fuels has the potential to limit its adoption. This explains why 99% of the households interviewed indicated firewood and charcoal were their first option, and 52% believed that these dirty fuels were dependable. Regardless of these bottlenecks, the study found that households are ready to try better cooking options. About 99% of households were interested in using biogas, and 94% wanted to learn more about biogas. Therefore, there is a need for increased awareness, and suppliers must adopt innovations that make biogas more accessible and competitive against traditional cooking fuels. Full article

Objective: Selecting suitable materials and luting agents for single crowns is critical yet challenging, as dentists must consider different factors. This study aimed to assess dentists’ preferences for materials and luting agents under different clinical conditions and evaluate the nonclinical factors influencing their preferences. Methods: A paper-based survey supplemented with photographs illustrating anterior and posterior single-crown preparation designs was used, incorporating three clinical scenarios for each as examples. Participants provided demographic data and were asked to select their preferred material and luting agent for each scenario. Comparisons between the crown material/luting agent choices and dentist/practice characteristics were performed. Significant differences were determined using the chi-square test. Results: Overall, 262 (87.3%) dentists participated in this survey. The top-selected material for anterior preparation designs was lithium disilicate; monolithic zirconia was the most selected for posterior preparation designs. Dual-cure resin was the most selected luting agent for all anterior and posterior clinical scenarios, except for posterior subgingival preparation design. There was a significant association between the dentist’s age and the selection of material and luting agent (p < 0.05) in all clinical scenarios, except for the luting agent selection in the posterior subgingival preparation designs (p < 0.05). Other nonclinical factors yielded mixed results; some preparation designs showed significant differences, while others did not, depending on the clinical scenario. Conclusions: Reliance on new materials and luting agents that require minimally invasive treatment with dental ceramics and resin cement is increasing. However, the choice of materials and luting agents is influenced by clinical presentation and nonclinical factors, making it crucial for dentists to be aware of these factors when selecting materials for single-crown restorations. Clinical Implications: An overall trend was observed for the use of strong monolithic ceramics with adhesive resin cements. These findings could assist dentists in reviewing and re-evaluating material choices in their clinical practices, both at a national and regional level. Additionally, the findings could be useful for dental policy makers, wholesale suppliers, and retail distributors in making future decisions. Full article

Supplier selection in the medical device manufacturing (MDM) industry significantly affects quality, operational efficiency, and overall organizational performance. Due to the industry’s dependence on advanced technologies and rigorous regulatory standards, identifying critical success factors (CSF) for selecting suppliers is essential. This study aims to analyze relationships among critical success factors (CSF) influencing supplier selection and their influence on supplier quality and the performance outcomes of MDM companies. A structured survey was conducted among MDM companies in Mexico, and the collected data were analyzed through exploratory and confirmatory factor analysis. Structural equation modeling (SEM) was used to quantify the relationships identified. Results indicate that information technology, reliable delivery, Industry 4.0 adoption, resilience, and environmental and social responsibility positively influence supplier quality, which subsequently enhances MDM firm performance. Supplier quality emerges as a critical mediator between supplier selection factors and company performance. Findings emphasize that prioritizing supplier quality, reinforced through Industry 4.0 technologies and resilient practices, ensures operational continuity, enhances competitive advantage, and supports sustainability. Companies incorporating these critical success factors into their supplier selection processes are better equipped to manage supply disruptions, achieve consistent quality, and sustain performance in highly regulated environments. Full article

As a major source of food and plastic waste and a large consumer of water and energy, the hospitality sector is key to combating climate change. Sustainable practices in the hospitality sector optimize food production and use, introduce innovative solutions and increase employee satisfaction in running environmentally friendly restaurants. This study examines the changes required for a restaurant to make a sustainable transition and the role of key stakeholders (i.e., chefs, head sommeliers, owners and main suppliers) in this process. It focuses on a prestigious Slovenian restaurant that has been awarded a Michelin Green Star and is 80% self-sufficient. The single case study uses semi-structured interviews, the critical incident method and participant observation to collect data. The results showed that in the case of the analyzed restaurant, the lifestyle of the owner/chef decisively shapes the culture of the restaurant, laying the foundation for its sustainable transformation. The success of the transformation itself, however, depends significantly on the employees’ ability to learn and innovate and their active involvement in the change process itself, which impacts both day-to-day business processes and relationships between stakeholders. The latter is reflected in the role the restaurant plays in the local environment as a driver for sustainable community and sustainable entrepreneurship development. Full article

Industrial Internet Platforms (IIPs) provide critical value for supply chain management. The motivation for value creation and capture by supplier firms increasingly depends on acquiring and processing customer-oriented information, with geographical distance to customers being a key factor in assessing costs and benefits. This study investigates whether firms’ IIP adoption increases or decreases the geographical distance to their customers, utilizing supply chain data and digital transformation metrics from China’s A-share listed firms in the new energy vehicle industry. The study finds that an increased adoption level of IIPs by focal firms leads to a greater average geographical distance to their customers. This conclusion remains valid after addressing endogeneity concerns and performing several robustness checks. Moreover, the effect of IIP adoption on expanding the geographic scope of sales is significant when the focal firm is more specialized in the supply chain, more socially embedded, located in China’s eastern region, or acts as an upstream/downstream complement to complete vehicle manufacturers. No significant difference in the impact of IIP adoption is observed between private and state-owned enterprises. This study combines platform innovation and transaction cost theories, offering new insights and policy implications regarding the spatial impact of digital technology adoption in advanced manufacturing and related service industries. Full article

This model extends the classical economic production quantity (EPQ) model to address the complexities within a two-echelon supply chain system. The model integrates the cost of raw materials necessary for production and takes into account the presence of imperfect quality items within the acquired raw materials. Upon receipt of the raw material, a thorough screening process is conducted to identify imperfect quality items. Combining imperfect raw material and the concept of shifting production rate, two different inventory models for deteriorating products are formulated under imperfect production with demand dependent on the stock level. In the first model, the imperfect raw materials are sold at a discounted price at the end of the screening period, whereas in the second one, imperfect items are kept in stock until the end of the inventory cycle and then returned to the supplier. Numerical analysis reveals that selling imperfect raw materials yields a favourable financial outcome, with an optimal inventory level $I_1$ = 11,774 units, optimal cycle time $T=2140$ h, and a total profit per hour of USD 183, while keeping the imperfect raw materials to return them to the supplier results in a negative profit of USD $-4.44\times {10}^3$ per hour, indicating an unfavourable financial outcome with the optimal inventory level $I_1$ and optimal cycle time T of 26,349 units and 4702.6 h, respectively. The findings show the importance of selling imperfect raw materials rather than returning them and provide valuable insights for inventory management in systems with deteriorating products and imperfect production processes. Sensitivity analysis further demonstrates the robustness of the model. This study contributes to satisfying the need for inventory models that consider both the procurement of imperfect raw materials, stock-dependent demand, and deteriorating products, along with shifts in production rates in a multi-echelon supply chain. Full article

In this study, we examine the supplier–buyer relationship based on resource dependence theory. When suppliers are asymmetrically dependent on buyers because of the industry structure, the suppliers are subject to the opportunistic behaviors of the buyers. In this industry setting, suppliers have less opportunity to sustain their profitability. We theoretically and empirically examine the conditions under which suppliers may overcome such conditions. Suppliers’ enhanced commitment to the asymmetric relationship can help them resolve problems associated with asymmetric dependence and thereby sustain profitability. This effect can be lessened when a buyer forms a new exchange relationship or magnified when a supplier forms a new exchange relationship. Suppliers’ industrial diversification and technological capability also affect the dynamics. We collected data from Korean auto parts suppliers between 1998 and 2007. Using the feasible generalized least squares regression model, most of our hypotheses were supported, except for the moderating effect of technological capability. These empirical results are also confirmed by random-effects model and fixed-effects model panel regressions. This study makes three distinctive contributions to the current research, suggesting the enhancement of commitment (dependence) as a strategic solution under conditions of asymmetric dependence, applying a dynamic perspective to resource dependence theory, and emphasizing the role of firms’ capability in circumstances characterized by asymmetric dependence. Full article