Search Results (7,522)

The Industry 5.0 paradigm reframes sustainable operations management around human-centric, resilient and responsible production, yet the conditions under which digital and AI-enabled manufacturing translate into genuine worker well-being—particularly for women—remain under-investigated. This study analyses the determinants of women’s well-being at work in the Moroccan automotive industry, a sector that has become the country’s largest industrial exporter and a strategic laboratory for Industry 4.0-to-5.0 transitions. A systematic review was first conducted in Scopus (2015–2025) following PRISMA 2020 guidelines, yielding 54 eligible studies, of which 18 explicitly addressed automotive or Industry 4.0–5.0 contexts. Building on Job Demands–Resources theory and the human-centric tenets of Industry 5.0, a conceptual model articulated five antecedents—perceived supervisor support, job autonomy, work–life balance, technology-inclusive AI environment, and organisational justice—and a moderator, Industry 5.0 maturity. The model was tested via PLS-SEM (SmartPLS 4) on survey data from 412 women working in supplier and OEM plants across Tangier, Kénitra and Casablanca. Measurement quality was satisfactory (Cronbach’s α: 0.92–0.94; CR: 0.94–0.96; AVE: 0.81–0.85; HTMT < 0.63). All five antecedents significantly predicted well-being (β = 0.09–0.29; p ≤ 0.01), explaining 62% of its variance (Q² = 0.571). Industry 5.0 maturity amplified the effect of a technology-inclusive AI environment on well-being (β interaction = 0.120; p < 0.001). The findings support a contingent, human-centric view of smart manufacturing and provide actionable levers for sustainable, gender-inclusive operations management. Full article

The advanced manufacturing of metal micro-holes is of great significance in various fields of industrial production, including aerospace, automotive, electronics, and healthcare. New technologies are constantly emerging, including various multi-energy field manufacturing technologies, and the knowledge system is complex and intricate. The present article summarizes recent advancements in metal micro-hole manufacturing technologies, drawing parallels with existing laser processing and electrochemical processing technologies. The present systematic review has been conducted with the objective of providing a comprehensive overview of the latest methodologies. The present review paper is of particular significance in that it encompasses not only the fundamental principles and innovative process methods, but also the most recent research progress and current problems. Furthermore, a synopsis of the developmental trajectory of advanced sustainable manufacturing technology for micro-holes was furnished. Full article

Green technological innovation (GTI) has emerged as a critical driver for achieving strategic objectives of projects, particularly in the context of sustainable new product development (NPD). Although prior studies have suggested that innovation can enhance project outcomes, limited attention has been given to clarifying the contribution of GTI to NPD performance. The lack of conclusive evidence regarding the effectiveness of GTI may partly explain its relatively limited adoption in practice. Therefore, this study aims to investigate the impact of GTI implementation on NPD performance and further explores the moderating influence of project characteristics on this relationship. The empirical findings reveal that multiple dimensions of GTI implementation—including green resource allocation, green manufacturing, green organizational practices, and green planning—significantly improve both product performance and market performance. Furthermore, the findings indicate that project characteristics, such as team size, R&D type, information availability, and material availability, significantly moderate the relationship between overall GTI implementation and NPD performance, suggesting that the effectiveness of GTI depends on specific project characteristics. Full article

In this study, a double-sheet detection system for automated metal stamping is developed and modeled. This study aims to address the issue of die damage caused by overlapping workpieces (double sheeting), a significant contributor to production line stoppages. The proposed solution involves a control system utilizing a programmable logic controller (PLC), combined with inductive proximity sensors installed on the die, for real-time processing of workpiece status. The system is designed to immediately halt machine operation upon detecting any abnormalities. The experimental results demonstrate that the developed system successfully reduced double-sheet incidents from one occurrence to zero and eliminated production downtime (reducing it from 4 days to zero), resulting in a total of 32,972.26 USD saved in potential damage costs per incident. Furthermore, the system reduced the production cycle time from 11 s to 9.5 s per piece, increasing the production capacity by 1240 pieces per day. The economic assessment indicates that an initial equipment investment of only 483.2 USD yielded a return on investment (ROI) of 6723.73%, a payback period of 5.35 days, a net present value (NPV) of 89,333 USD, and an internal rate of return (IRR) of approximately 6830%. These figures demonstrate a very high level of economic feasibility. Therefore, this system is a cost-effective, reliable, and practical approach to enhance productivity and sustainably support the Smart Factory concept in the metal stamping industry, aligning with the automotive parts manufacturing industry. Full article

Metal additive manufacturing (AM) plays an increasingly important role in sustainable production owing to its material efficiency, design freedom, and compatibility with circular economy (CE) strategies. Yet the high cost and environmental burden of producing virgin metallic powders remain major barriers to large-scale adoption. This review synthesizes current and emerging approaches for recycling metallic powder feedstocks within AM, organizing them into four pathways: reusing, reconditioning, repurposing, and resourcing. Reusing preserves powders within the AM loop through controlled handling and qualification strategies, whereas reconditioning applies mechanical, thermal or chemical treatments to restore powder properties. Repurposing redirects powder to alternative value-added routes, including wire feedstock, metal–polymer composites, extrusion materials, and elemental or oxide recovery. Resourcing generates new powder from end-of-life powder, printing scrap, and waste through mechanical size reduction, atomization-based processes, or solid-state conversion routes. Across these pathways, the review highlights technological advances, process limitations, and cross-cutting challenges related to oxidation, morphology deterioration, contamination, and scalability, and identifies underexplored methodologies with potential for AM-specific recycling. By integrating insights across the field, this work outlines the expanding landscape of metallic powder circularity and demonstrates how diversified recycling strategies can reduce environmental impact, lower material costs, and support a more sustainable AM ecosystem. Full article

Amid the profound restructuring of global value chains, supply chain risk has mainly been linked to visible shocks such as pandemics, wars, and geopolitical conflict. Much less is known, however, about whether exchange rate volatility can become a source of operational instability within firms. We examine this question using Chinese A-share listed firms from 2007 to 2021. We construct an industry-level exchange rate volatility measure by combining ADB input–output tables with bilateral real exchange rate volatility, and measure firms’ perceived and disclosed supply chain disruption risk from the MD&A sections of annual reports using a word-embedding approach. We find that higher industry-level exchange rate volatility is associated with a significant increase in firms’ perceived and disclosed supply chain disruption risk. The mechanism evidence indicates that this effect operates through both supply-side operating frictions and demand-side pressure: higher industry-level exchange rate volatility reduces inventory turnover and weakens overseas revenue realization. The effect is weaker in industries with longer backward production length but stronger among firms facing tighter financing constraints. It is also stronger among firms located in more open regions, firms with overseas-experienced executives, and firms with greater export intensity, but weaker among manufacturing firms. These findings extend research on the real effects of exchange rate volatility by showing how industry-level exchange rate uncertainty can materialize as firm-level perceived and disclosed supply chain disruption risk and undermine the operational continuity and long-term economic sustainability of internationally connected supply chains. Full article

Symbolic digital transformation, whereby firms overstate digital initiatives through digital narratives without substantive upgrading, may undermine the developmental value of industrial digitalization. This study examines whether China’s Smart Manufacturing Pilot Policy (SMPP) curbs such behavior. Using panel data on Chinese A-share listed manufacturing firms from 2011 to 2024, we treat the staggered implementation of the SMPP as a quasi-natural experiment and estimate policy effects within a double machine learning framework. The baseline results show that the SMPP significantly reduces firms’ symbolic digital transformation (SDT), and this finding remains robust to alternative specifications and endogeneity tests. Dynamic effect analysis indicates that the policy generates a persistent restraining effect, although its marginal effect gradually declines as governance becomes more normalized over time. Mechanism analysis shows that the policy mainly works by easing financing constraints and reducing information asymmetry, while increased media attention creates a countervailing reputational incentive that may encourage SDT. Threshold analysis further reveals that the policy effect is stronger among firms with higher managerial myopia and is most pronounced when corporate opacity is moderate, but becomes insignificant once opacity exceeds a critical level. Overall, the SMPP promotes a shift from symbolic to substantive digital transformation and may provide indirect implications for sustainable manufacturing development. Full article

This study quantified environmental impacts of circularity strategies in the manufacturing industry, focusing on maintenance-driven product lifetime extension (PLE) using Life Cycle Assessment (LCA). The analyzed case builds on earlier work, which showed that the product’s lifetime was shorter than the industry average lifetime and that the use phase was the dominant contributor to overall environmental impacts, identifying it as a key area for improvement. A computational code was developed to model maintenance-driven lifetime extension scenarios and to calculate selected total and normalized environmental impacts for the studied industrial process equipment. The model assumes maintenance-related impacts are smaller than the impacts avoided through reduced new production. Results show that while total impacts increase with longer use, normalized impacts per unit of production and per year of service life decrease by 58%, improving resource efficiency. Maintenance-driven PLE supports circular economy (CE) strategies by slowing material flows and extending product use. The findings highlight the importance of incorporating maintenance into circularity frameworks and life cycle-based decision-making. Full article

Cable scrap is a high-grade secondary copper resource, but transparent plant-scale evidence on the operational energy and emissions performance of mechanical separation lines remains limited. This descriptive industrial case report presents a non-replicated comparison of complete operating records for the former and newly implemented cable-recycling lines at MERCURY HM in Bielsko-Biała, Poland, for June 2022 and June 2024, respectively. Because each configuration is represented by one aggregate month, the comparison is descriptive and cannot support causal attribution or inferential statistical testing. The assessment applies a gate-to-gate boundary and quantifies location-based Scope 2 CO₂ emissions from purchased electricity only; Scope 1 emissions, upstream and downstream Scope 3 emissions, equipment manufacture, transport, facility utilities, maintenance, and downstream metallurgical refining are outside the boundary. For consistent benchmarking, both months were recalculated using the same KOBiZE end-user electricity factor of 685 kg CO₂/MWh. The functional units were one tonne of processed cable and one tonne of recovered copper. In the observed months, processed mass was 168 Mg for the former line and 288 Mg for the new line, while monthly electricity consumption was 30,000 and 23,000 kWh, respectively. Specific electricity consumption was 55.3% lower per tonne of cable and 55.8% lower per tonne of recovered copper in the June 2024 dataset; the corresponding electricity-related emission intensities were 122.3 versus 54.7 kg CO₂/Mg of cable and 312.0 versus 138.0 kg CO₂/Mg of recovered copper. Observed throughput was 0.6 versus 1.2 Mg/h, nominal capacity was 0.7 versus 2.25 Mg/h, and four samples of the high-purity copper product from the new line contained 99.48 ± 0.20% Cu. A scenario analysis for a cable copper content of 39–42% produced emission intensities of 297–320 kg CO₂/Mg Cu for the former line and 131–142 kg CO₂/Mg Cu for the new line. The results provide a transparent plant-specific sustainability-relevant benchmark, not a causal estimate of technology performance. Replicated monthly or batch-level data are required to test whether the observed differences persist after controlling for feedstock, ambient, operational, and workforce-related confounders. Full article

The selection of materials for enhancing the energy performance of historic mosque structures, which form a significant part of Türkiye's cultural heritage, should be based on scientifically supported methodologies and should also consider their architectural nature. In this work, an innovative Energy3D–MADA approach is developed for the comparative evaluation of thermal performance and sustainable selection of heritage natural stones. The proposed framework concentrates on the thermal aspect, while environmental, economic, mechanical, and material-related acoustic indicators are used as supplementary decision indicators. The study examined eight representative heritage natural stones using a representative Ottoman composite masonry wall. For the four climatic regions of Türkiye, the energy performance was predicted, and 32 scenarios were obtained. The annual heating and cooling energy requirements, total operational energy, operational CO ₂ emissions, and costs of wall manufacturing were investigated through Energy3D. The results of the simulation indicated that the natural stones had a considerable impact on the performance of historic mosque buildings. Od Stone (Tuff) had the lowest heating and cooling annual energy demand, the minimum total operational energy consumption, and the fewest operational CO ₂ emissions among all the alternatives considered, while Red Granite had the greatest energy demand. Compared to Red Granite, Od Stone achieved reductions in annual heating energy of 31%, in total operational energy consumption of 22–25%, and in operational CO ₂ emissions of 22–25%, with only about a 1% increase in comparative initial construction cost. Spearman's rank correlation analysis (ρ) indicated the same ranking in all climate regions, which demonstrated the ranking consistency of the Energy3D-based analysis. Overall, the Energy3D simulation outcomes were combined with the LODECI, MEREC, SPC, SIWEC-M, and ALPAS techniques to formulate a decision-support system for the comparative analysis and prioritization of heritage natural stones, to support sustainable mosque design and heritage conservation planning. Full article

In the burgeoning live stream landscape, manufacturers face critical dilemmas regarding strategic channel governance and how intermediaries’ bargaining ability dictates sustainable cooperation under Stackelberg leadership change. Addressing these issues is vital, as misaligned governance risks severe profit losses, yet standard heuristics fail to capture how leadership shifts disrupt channel coordination and model selection. To fill this gap, we model a manufacturer’s self-operated (Model SO) live stream channel and an intermediary-operated (Model IO) live stream channel to evaluate trade-offs among bargaining ability, operational costs, and spillover effects. Key findings show that in Model SO, spillover and price adjustments transform the live stream channel into a traffic-channeling gateway in which rising operational costs paradoxically boost total profits. In Model IO, bargaining ability serves as a key determinant, as high pit fees weaponize this ability for predatory commission-squeezing, while low pit fees redirect it toward volume expansion, transforming the intermediary into a synergistic partner. Furthermore, bargaining ability shifts pricing from intermediary-introduction to profit-recapture strategies while exerting cost-magnification and revenue-magnification effects under varying pit fees. Crucially, we uncover two Pareto-optimal cooperation zones alongside a non-cooperation zone caused by incentive incompatibility under mid-tier bargaining ability. Extensions show that intensified price competition turns dominant intermediaries into welfare killers and high service sensitivity induces an over-service trap, though popularity cost-sharing contracts restore coordination. Overall, this study fills a crucial analytical gap by establishing precise theoretical boundaries for channel governance, bargaining ability dynamics, and cost-driven functional transformations in live stream supply chains. Full article

Aligned recycled carbon fiber (rCF)/polyetherimide (PEI) tapes are a promising material for lightweight aerospace thermoplastic composite structures with reduced environmental impact, provided that their directional properties can be translated into robust components. To assess the viability of rCF/PEI for aircraft interior applications, this study tracks the development of the “Eco Bracket” across four key stages: sustainability screening, coupon characterization, microstructural interpretation, and application-level structural assessment. A project-level life-cycle assessment compared an Additive Fusion Technology (AFT) rCF/PEI bracket with cast and milled aluminum routes and yielded a short-term climate impact of 0.678 kg CO₂-eq for rCF/PEI, representing a significant reduction compared to 5.1 kg CO₂-eq for cast aluminum and 20.9 kg CO₂-eq for milled aluminum. Coupon testing characterized the anisotropic mechanical response of the rCF/PEI tape, including the elastic moduli and strengths under axial and transverse tension, in-plane shear, and axial and transverse compression. Scanning electron microscopy of a representative fracture surface showed a rough, fiber-dominated morphology with exposed fiber bundles, pull-out, and local variations in matrix coverage, supporting the interpretation that consolidation and local wet-out quality govern the transfer from coupon capability to component performance. At the application level, the manufactured rCF/PEI bracket achieved a peak load of 3517.6 N, corresponding to 93% of the strength of an industry-standard polyetherketoneketone (PEKK) reference bracket, and failed in the fastener-hole region predicted as critical by the finite element model. The combined results indicate that aligned rCF/PEI tapes can deliver mechanical properties consistent with the design requirements of aircraft interior brackets, while process robustness, fiber-path fidelity, and local consolidation quality remain the key barriers to repeatable component performance. Full article

As naturally occurring bioactive molecules derived from plants, polyphenols exhibit significant potential for the functional modification and structural regulation of metal–organic frameworks (MOFs) due to their unique ortho-phenolic hydroxyl groups, excellent metal-coordinating ability, and favorable biocompatibility. This review systematically summarizes the functional roles of polyphenols in MOF systems, including their use as organic ligands to directly participate in framework construction, as surface modifiers to optimize MOF interfacial properties, or as encapsulation hosts to enable controlled loading and release. Polyphenol–MOF composites constructed based on these strategies demonstrate broad application prospects in fields such as biomedicine, food science, environmental remediation, and catalysis. This paper further analyzes the key challenges currently facing the research community, including unclear mechanisms of interfacial interactions, insufficient stability assessments under complex conditions, and a lack of scalable green synthesis processes. Future research should delve deeper into the relationship between polyphenol structures and MOF topological configurations and drive the transition from functional composites to functional synergies. These efforts will be key to realizing the practical application of such materials in intelligent food manufacturing, precision medicine, and sustainable environmental management. Full article

Supply chain greening has become an important direction for sustainable development. This paper develops a two-stage game model involving a traditional manufacturer, a green manufacturer, and a retailer, to investigate the fairness concerns of the green manufacturer in a supply chain. Different from previous fairness concern models that focus on a single comparison relationship, this study incorporates both horizontal fairness concern with the competing traditional manufacturer and vertical fairness concern with the retailer into a unified framework for green supply chains. The results show that when traditional and green consumers hold equal market shares, the demand and profit of the green manufacturer are consistently higher than those of the traditional manufacturer, although this advantage diminishes as green R&D efficiency decreases. Moreover, increasing bidirectional fairness concern reduces the greenness of green products and significantly affects the retailer’s profit, while its impact on manufacturers’ profits is relatively limited. The effects of bidirectional fairness concern on product pricing depend on green R&D efficiency and the competitive relationship between green and traditional products. Based on these findings, managerial insights are provided for supply chain participants. Full article

Against the backdrop of increasing global uncertainty and the growing acceptance of sustainable development principles, enhancing supply chain resilience has become a core issue for enterprises in managing risks and ensuring operational security. Based on a review of the literature and theoretical analysis, this study constructs an evaluation system comprising 12 third-level indicators across three dimensions: proactive defense capability, green operational capability, and collaborative recovery capability. When determining whether there are interdependent relationships among the indicators, this study introduces an extended Bayesian fusion method based on trapezoidal fuzzy numbers to evaluate and confirm these relationships, thereby reducing biases arising from subjective judgments. By quantifying experts’ assessments of the relationship strength and confidence levels between indicators using trapezoidal fuzzy numbers, this method effectively integrates the opinions of multiple experts, reducing the randomness and subjectivity associated with individual judgments. During the ANP weight calculation stage, to overcome the ambiguity and uncertainty inherent in traditional pairwise expert comparisons, trapezoidal fuzzy numbers were similarly used to quantify the comparison results. These were then defuzzified using the mean area metric to construct a precise judgment matrix. Finally, using the publicly available annual reports and ESG disclosure data from three multinational corporations—one in the semiconductor manufacturing sector (Company T), one in industrial digital manufacturing (Company S), and one in the food and beverage industry (Company N)—as empirical samples, the cross-industry applicability and validity of the constructed evaluation system were verified. The results demonstrate that this method can systematically reflect the key factors influencing sustainable supply chain resilience and their weighting structure. Full article