Search Results (1,676)

To reduce the environmental impact of plastic packaging in the edible fungi supply chain, this study developed an edible natural chitosan composite film loaded with chlorogenic acid–chitosan oligosaccharide nanoparticles (CGA/COS NPs). The effects of CGA/COS NPs as additives on the structure and overall performances of chitosan-based films were systematically studied, and the application effect of nanoparticles/chitosan (NPs/CS) composite films in the preservation of Pleurotus geesteranus was explored. The results showed that the NPs had good compatibility with the film matrix, filled the voids of the chitosan matrix, enhanced the comprehensive performance of the film, and significantly improved the antioxidant activity of the film (DPPH free radical scavenging activity increased from 16.95% to 76.47%). Among all the films, the 5%NPs/CS composite film performed the best, not only having stronger barrier properties against moisture, oxygen, and ultraviolet rays, but also having the best thermal stability and mechanical properties, which can effectively extend the shelf life of Pleurotus geesteranus. This study developed a high-performance edible composite film, which provides a new path of great value for solving the preservation problem of perishable agricultural products such as Pleurotus geesteranus and promoting the innovative development of the green food packaging industry. Full article

Origin warehouses, positioned at the critical “first mile” of the agri-food supply chain, profoundly influence supply chain power structures and profit allocation, as well as supply chain stability and sustainable development. To explore the role of origin warehouses in the agri-food supply chain, this study develops a three-level game model comprising a “planter–origin warehouse operator–seller” framework. Notably, this study conceptualizes the dual-functional “origin warehouse” as observed in practice, proposing two theoretical modes: the Logistics Center (LC) and the Supply Chain Center (SCC). By treating quality level, service level, and selling price decisions as endogenous variables, this study further reveals the interconnected decision-making mechanisms under different operational modes. Overall, the LC mode performs better in quality-driven markets, generating higher system profits and greater social welfare, whereas the SCC mode is superior when consumers are more price-sensitive or place greater value on service. Based on these findings, this study provides decision-making guidance for origin warehouse operators aiming to select the optimal mode under varying market conditions and proposes targeted coordination strategies to promote the high-quality development and economic sustainability of the agri-food supply chain. Full article

The worldwide transition to renewable energy systems is motivated by diminishing fossil fuel availability and the intensifying consequences of climate change. This study presents a Mixed-Integer Linear Programming (MILP) model for designing and optimising the bio-fuel and electricity supply chain in Colombia, using sugarcane as the main feedstock and integrating microalgae cultivation in vinasse. Six alternative biorefinery configurations and four microalgae conversion pathways were evaluated to inform strategic planning. The optimisation results indicate that microalgae achieve higher energy yields per unit of land than sugarcane. Ethanol production from sugarcane could meet all of Colombia’s gasoline demand, while diesel and sustainable aviation fuel derived from microalgae could supply around 9% and 16%, respectively, of the country’s consumption. Further-more, pelletised bagasse emerges as a viable alternative to replace part of the coal used in thermoelectric plants. From an economic perspective, all scenarios achieve a positive net present value, confirming their profitability. Sensitivity analysis highlights the critical factors influencing the deployment of distilleries as ethanol price, algae productivity, and sugarcane cost. Furthermore, transportation costs play a decisive role in the geographic location of microalgae-based facilities and the distribution of their products. Full article

Achieving sustainable development in the low-carbon transition requires securing critical raw materials (CRMs) while reducing environmental burdens and strengthening industrial resilience (SDGs 7, 9, 12, 13). This review synthesizes 2016–2025 evidence on how the European Union’s policy package—the Critical Raw Materials Act (CRMA), the Batteries Regulation, the Ecodesign for Sustainable Products Regulation (ESPR) with Digital Product Passports (DPPs), and the recast Waste Shipments Regulation (WSR)—shapes markets for secondary supply in battery-relevant metals such as lithium, cobalt, nickel, copper, aluminum, and rare earths. We apply a structured scoping review protocol to map the state of the art across policy instruments (EPR, ecodesign/DPP, recycled content mandates, recovery targets, shipment controls) and value chain stages (collection, preprocessing, refining, manufacturing). The analysis highlights benefits, including clearer investment signals, improved traceability, and emerging opportunities for industrial symbiosis, but also identifies drawbacks such as heterogeneous standards, compliance costs, and trade frictions. Evidence gaps remain, especially in causal ex post assessments, price pass-through, and interoperability of MRV/DPP systems. The paper contributes by (i) providing an integrative framework linking policy instruments, value chain stages, and investment signals for secondary CRM supply, and (ii) outlining a research agenda for rigorous ex post evaluation, improved MRV/DPP data architectures, and better alignment between EU trade rules, circularity, and a just energy transition. Full article

The textile sector provides essential goods, yet it remains environmentally and socially intensive, driven by high water use, pesticide dependent monocropping, chemical pollution during processing, and growing waste streams. This review examines credible pathways to sustainability by integrating emerging plant-based fibres from hemp, abaca, stinging nettle, and pineapple leaf fibre. These underutilised crops combine favourable agronomic profiles with competitive mechanical performance and are gaining momentum as the demand for demonstrably sustainable textiles increases. However, conventional fibre identification methods, including microscopy and spectroscopy, often lose reliability after wet processing and in blended fabrics, creating opportunities for mislabelling, greenwashing, and weak certification. We synthesise how advanced molecular approaches, including DNA fingerprinting, species-specific assays, and metagenomic tools, can support the authentication of fibre identity and provenance and enable linkage to Digital Product Passports. We also critically assess environmental Life Cycle Assessment (LCA) and social assessment frameworks, including S-LCA and SO-LCA, as complementary methodologies to quantify climate burden, water use, labour conditions, and supply chain risks. We argue that aligning fibre innovation with molecular traceability and harmonised life cycle evidence is essential to replace generic sustainability claims with verifiable metrics, strengthen policy and certification, and accelerate transparent, circular, and socially responsible textile value chains. Key research priorities include validated marker panels and reference libraries for non-cotton fibres, expanded region-specific LCA inventories and end-of-life scenarios, scalable fibre-to-fibre recycling routes, and practical operationalisation of SO-LCA across diverse enterprises. Full article

In today’s dynamic and global business landscape, economic profitability is essential for creating and sustaining competitive advantage. Nevertheless, a critical gap persists in the literature regarding the application of advanced optimization techniques that systematically link operational improvements in the supply chain with strategic financial indicators. Accordingly, this study aims to identify and synthesize the optimization techniques applied to supply chain processes and their impact on economic profitability. To achieve this objective, the PRISMA methodology was employed. A systematic literature review covering the last ten years (2015–2025) was conducted using the Web of Science database. After applying inclusion and exclusion criteria, 35 studies were selected, revealing a growing methodological diversity. Nature-Inspired Algorithms (NIAs) and hybrid approaches (such as MILP combined with Simulation) demonstrate greater capacity to address complex and multi-objective scenarios. Notably, hybrid techniques have been successfully applied to the maximization of Economic Value Added (EVA), a key strategic value indicator. Despite the sophistication of these optimization techniques, the predominant objective remains total cost minimization, often sidelining the direct optimization of strategic indicators such as EVA or the Cash Conversion Cycle (CCC). Additionally, a key research gap was identified in the development of adaptive and resilient models that integrate technologies such as Digital Twins, Blockchain, and Artificial Intelligence to dynamically manage physical and financial disruptions in supply chains. The study concludes by emphasizing the need for a theoretical shift toward models that go beyond cost minimization and focus on real value metrics, as well as the exploration of more accessible solutions for SMEs. This review contributes a reference framework for academics and practitioners to align the most suitable optimization techniques with strategic financial objectives in supply chain management. Full article

Sweetpotato genotypes, often known by regional names, are easily propagated via cuttings, which can lead to mixing and misidentification of cultivars. This complicates traceability and commercialization. Accurate characterization of common genotypes would support their formal registration and strengthen the sweetpotato value chain. Sweetpotato is a staple crop in Brazil, and in this study, four states, representing different geographic regions in Brazil, were selected. A total of 37 samples were collected in these states, and the samples were evaluated by SSR molecular markers and morphological traits. The samples were cleaned of virus and compared to the global sweetpotato collection held at the International Potato Center under the International Treaty on Plant Genetic Resources for Food and Agriculture. SSR markers effectively distinguished among accessions. The genotype locally known as “Canadense” matched closely both genetically and morphologically to the CIP accession ‘Blesbok’. This alignment paves the way for formalizing cuttings and root production of “Canadense”/‘Blesbok’ for commercial use. In contrast, several accessions marketed in Sergipe as “white skin sweetpotato” did not correspond to any known CIP accession, suggesting that they may be unique regional genotypes or acquired from other sources, since sweetpotato is an exotic crop in Brazil. Overall, the research identified key genotypes, supporting their official registration with Brazil’s Ministry of Agriculture, Livestock, and Supply, thereby enhancing the legal commercialization of cuttings and roots. Additionally, the clear molecular and trait-based classification will assist sweetpotato crop improvement programs in selecting appropriate parent lines for future crosses. Full article

Short food supply chains are an increasingly important topic within the academic community, as is research into the factors influencing consumers’ intention to buy at farmers’ markets. This study examines the influence of consumers’ product perception and product knowledge on purchase intention at farmers’ markets. Data were collected at farmers’ markets in Croatia. A total of 255 valid responses were analysed using exploratory factor analysis and hierarchical regression. Demographically, respondents were predominantly women aged 46–55 with higher education and middle-income levels (family annual income of EUR 20,000 to 40,000). Results indicate that both product perception and product knowledge significantly affect purchase intention at farmers’ markets. Consumers generally view farmers’ market products as superior in quality and value, and they place high trust in farmers’ expertise. The findings suggest that attributes such as freshness, safety, and authenticity, combined with product knowledge-sharing by farmers, strengthen consumer trust and increase their willingness to pay and to recommend these products to family and relatives. Full article

Price is a pivotal determinant of market demand, as higher prices typically reduce sales while lower prices stimulate them. Thus, incorporating price-dependent demand into inventory models is both realistic and necessary. In practice, limited storage capacity often forces retailers to rent additional space, motivating the adoption of two-warehouse systems. Trade credit also plays a critical role in supply chain management: suppliers may offer cash discounts or deferred payments to encourage larger orders, while retailers extend credit to customers to boost sales. To reduce default risk, however, retailers usually provide only partial credit. Considering the time value of money, costs and profits are assessed using discounted cash-flow analysis to account for payment delays and inflation. This study develops an integrated supplier–retailer–customer chain model that (1) incorporates price-dependent demand, (2) includes a rented warehouse for limited storage, (3) considers partial trade credit, (4) links two-level trade credit terms to order quantity, and (5) evaluates financial performance on a present-value basis. The model aims to maximize total profit by determining optimal price, replenishment cycle, and order quantity. Numerical and sensitivity analyses confirm that extending supplier credit can lower prices and improve overall profitability, offering useful insights for strategic inventory management. Full article

Restrictions on crop production in Ultisols are primarily driven by low soil fertility, which leads to the unsustainable use of soil resources and food insecurity. Significantly, arbuscular mycorrhizal fungi (AMF) enhance nutrient availability for plants, which in turn contributes to greater soil productivity and supports sustainable crop production. This study aims to evaluate the effects of AMF inoculation combined with chemical fertilisation on maize growth and yield in three series of Ultisols. A pot experiment was performed with a 2 × 3 factorial CRD with five replications. Two factors were studied as follows: (1) AMF (Glomus sp.) (non-AMF and AMF inoculation) and (2) rates of chemical fertiliser (0, 50, and 100% of the recommended fertiliser rate for maize, CF). The results showed that AMF significantly enhanced the growth and yield of maize at all CF rates for all soil series at p ≤ 0.01. Total biomass and grain yield following AMF treatment were markedly higher than yields obtained without treatment. Likewise, AMF significantly improved the photosynthetic physiology and NPK content of maize. The CF rate had a negative impact on AMF root colonisation, and AMF efficiency also decreased as the CF rate increased. The relative mycorrhizal dependency (RMD) on maize growth and yield was the highest at 0% CF, with averages of 34.49% and 52.35%; however, these values decreased to 7.43% and 8.73% at 100% CF, respectively. Despite this, the RMD of maize growth and yield remained positive for all soil series. These findings suggest that AMF are an effective means of supporting sustainable maize cultivation in Ultisols. Full article

Raw material price volatility, freight rates, and foreign exchange all pose significant uncertainty for lithium-ion battery manufacturers, jeopardising procurement planning and financial stability. In this paper, we formulate a discrete Conditional Value-at-Risk (CVaR) optimisation model to design implementable robust hedging strategies for multi-factor cost exposure. Unlike conventional continuous hedge models, which are often severely parameter-sensitive and require frequent rebalancing, the discrete approach takes hedge ratios to be fixed at a finite implementable grid (0%, 50%, 100%) and simultaneously minimises the expected cost and tail risk. We conduct two case studies: the first evaluates the model behaviour under stochastic price shocks using a multi-market simulation data set, and the second subjects the model to stress testing on correlation drift and tail amplification in order to examine systemic robustness. Our results show that, compared with an OLS-based hedge or a fully hedged benchmark, the discrete CVaR framework yields smoother hedge patterns, lower tail losses, and improved liquidity stability; in addition, our results indicate that, when combined with tail-risk penalisation, decision discretisation can endogenously confer robustness to the industrial procurement horizon. This work contributes to the stochastic optimisation literature and provides a practical tool for mitigating volatility in the global lithium supply chain. Full article

Packaging plays a crucial role in extending the shelf life of fresh fruits and vegetables, thereby preserving their quality characteristics throughout the supply chain. Packaging systems treated with natural compounds can replace synthetic packaging systems. This study aimed to evaluate the potential application of active cardboard packaging (ACP) in preserving fruit quality and extending its shelf life. We observed the effect of cardboard packaging containing Punica granatum peel extract (PPGE) and Rumex crispus root extract (RRCE) on the shelf life of strawberries, tomatoes, and table grapes. In vitro and in vivo tests demonstrated the ability of RRCE + PPGE (group A) and PPGE (group B), once incorporated into the packaging at a concentration of 8%, to create a system capable of inhibiting microbial growth, thus prolonging the freshness and marketability of the fruit. Conventional packaging (group C) was taken as control. Strawberry groups A and B showed disease severity (DS) values of 55.9 and 51.8%, significantly lower than the 87.7% found in group C. Similar findings were observed in table grapes and datterini tomatoes. Quality was also assessed by measuring the surface color of homogenized strawberries, grapes and tomatoes, using a spectrophotometer. In strawberries, after 4 days, the colorimetric values in groups A and B were 26.86 and 34.50, respectively, much higher than the 13.99 recorded in untreated strawberries (group C). In table grapes and datterini tomatoes, the same results as those obtained in strawberries were confirmed. This study offers a novel approach to extending the shelf life of fruits and vegetables. We believe this technology, in addition to being an excellent bioactive packaging solution capable of reducing losses and improving quality in the fruit supply chain, is also economically viable since PPGE is derived from pomegranate processing waste and RRCE is obtained from the roots of a weed. Full article

While previous research suggests that innovation capability can enhance sustainable operational performance in sustainable supply chain management practices, empirical insights into the mechanisms underlying this relationship remain limited. Drawing on dynamic capability theory, this study investigates how innovation capability influences sustainable operational performance within the context of Alternative Food Networks (AFNs). Utilizing matched survey data and objective performance metrics from 276 fruit and vegetable preserving and specialty food manufacturing firms in China, the study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping techniques to test the mediating roles of business platforms and community building. The findings reveal that novelty-centered innovation capability has a significant positive effect on sustainable operational performance, with business platforms serving as a partial mediator in this relationship. In contrast, value-centered community building neither directly influences sustainable operational performance nor mediates the effect of innovation capability. Furthermore, the mediating effect of business platforms is found to be stronger than that of community building. This research presents a novel empirical framework that distinguishes the operational effectiveness of digital platforms in social community building within AFNs, providing managers with a strategic roadmap for prioritizing innovation investments to achieve sustainability. Full article

Background: This paper presents an analysis and a structured framework for improving inventory accuracy in an automotive factory, considering the current context of global disruptions. In 2023, the company recorded 20,340 inventory adjustments (1695 per month) and a 0.24% monthly net value discrepancy (EUR 256,594 YTD), with a baseline absolute discrepancy of 2.21% of sales. The project aimed to reduce adjustments to below 700 per month and the net value discrepancy to 0.1%. Methods: The research followed the Six Sigma methodology’s Define, Measure, Analyze, Improve and Control (DMAIC) phases, integrating Root Cause Analysis (RCA) and Failure Mode and Effects Analysis (FMEA) to enhance inventory accuracy in manufacturing operations. Results: Implementation significantly improved inventory accuracy: monthly adjustments decreased from 1695 to 971, the highest RPN was reduced from 576 to 144, and the absolute discrepancy-to-sales ratio stabilized at 0.98% (a 56% improvement). Financial variance was reduced to EUR 1948.10 in Q4 2024, while organizational discipline, role clarity and process control also increased. Conclusions: The integrated DMAIC–RCA–FMEA framework proved effective and replicable, enabling systematic identification of root causes, targeted corrective actions and sustainable KPI-driven improvements. The results demonstrate a scalable approach to inventory optimization that supports operational resilience and supply chain performance. Full article

Smart supply chains, enabled by Industry 4.0 technologies, are increasingly recognized as key drivers of competitiveness, leveraging data across the value chain to enhance visibility, responsiveness, and resilience, while supporting better planning, optimized resource utilization, and agile customer service. Effective data management has thus become a strategic capability, fostering operational performance, innovation, and long-term value creation. However, existing research and practice remain fragmented, often focusing on isolated functions such as production, logistics, or quality, the most data-intensive and critical domains in smart manufacturing, without comprehensively addressing data acquisition, storage, integration, analysis, and visualization across all supply chain phases. This article addresses these gaps through a systematic literature review of 55 peer-reviewed studies published between 2020 and 2025, conducted following PRISMA guidelines using Scopus and Web of Science. Contributions are categorized into reviews, frameworks/models, and empirical studies, and the analysis examines how data is collected, integrated, and leveraged across the entire supply chain. By adopting a holistic perspective, this study provides a comprehensive understanding of data management in smart manufacturing supply chains, highlights current practices and persistent challenges, and identifies key avenues for future research. Full article