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7960 Articles

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Integration of capacitated lot sizing decision and supply chain network design model addressing sustainable and risk factors

Purpose This study aims to develop a multi-product, multi-period and multi-echelon joint capacitated lot sizing (CLS) and supply chain network design (SCND) model that addresses sustainability factors and supplier risk disruptions while effectively managing operational costs across the supply chain (SC) network. The model considers various issues, including carbon footprint, social factors, risk, inventory and multicontainer logistics. Design/methodology/approach This study is conducted in two phases. First, it calculates social and risk scores for suppliers using a synergetic application of the best-worst method (BWM) and technique for order preference by similarity to ideal solution (TOPSIS) methodologies. Second, these quantified scores are integrated into the proposed mixed integer linear programming model. To ensure the model’s robustness, a sensitivity analysis (SA) is performed by varying parameters such as social sustainability score, carbon footprint and risk. Findings In this study, gender equality has emerged as the most critical social factor, whereas fair wages rank lowest. In the risk dimensions, intellectual property risk emerges as the most significant, whereas social and political risks are found least critical. SA reveals that increasing social sustainability scores raises costs but lowers emissions and risks. Reducing carbon footprint initially decreases emissions but can increase costs beyond a threshold. Similarly, lowering risk scores results in higher costs but does not significantly impact social sustainability. The model effectively optimizes material flows, plant and warehouse selection and inventory levels while balancing economic, environmental and social objectives. Originality/value To the best of the authors’ knowledge, this is one of the few studies to propose a novel linear programming based joint CLS and SCND model that addresses sustainability (economic, social and environmental) and supplier-based risk factors simultaneously. The proposed mathematical model is relevant to policymakers and organizational managers in strategizing to mitigate various conflicting issues such as carbon footprint, social issues, risk and inventory costs while taking operational decisions.

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  • Journal IconJournal of Modelling in Management
  • Publication Date IconJul 2, 2025
  • Author Icon Shivam Mishra + 1
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The impact of environmental tax reform on industrial green development: evidence from China

IntroductionThe transformation of environmental protection fees into environmental protection taxes in China reflects a broader commitment to ecological civilization. This reform aligns fiscal instruments with environmental objectives, aiming to internalize environmental costs and incentivize greener industrial behavior. However, empirical evidence on its actual impact on industrial green development remains limited. This study addresses this gap by investigating how the reform affects green total factor productivity (GTFP) in key industrial sectors.MethodsWe build a Difference-in-Differences model to assess the causal impact of the 2018 environmental tax change, using it as a quasi-natural experiment. A-share listed companies in industries with high levels of pollution from 2013 to 2022 are included in the sample. To further explore the transmission mechanism, we use mediation effect models to test whether the reform influences GTFP through changes in the degree of resource misallocation and green technological innovation. Multiple robustness checks, including parallel trends test, propensity score matching and placebo test, are conducted to ensure result validity.ResultsThe results indicate that the reform significantly improves industrial green development, as measured by firm-level GTFP. In state-owned and highly polluting businesses, the effect is particularly noticeable. According to mechanism testing, the policy effect is communicated through a decrease in the degree of resource misallocation and more investment in green innovation. These findings are robust across alternative model specifications and variable definitions.DiscussionThis study offers new insights into how environmental tax policies contribute to sustainable industrial transformation. It highlights the importance of fiscal policy tools in steering firm behavior toward greener practices. Policymakers should focus on refining tax enforcement and complementing it with innovation incentives to amplify the reform’s effectiveness. The evidence underscores the critical role of institutional design in aligning industrial growth with environmental goals.

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  • Journal IconFrontiers in Environmental Science
  • Publication Date IconJul 1, 2025
  • Author Icon Zhaoyang Lu + 4
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A hybrid bioelectronic retina-probe interface for object recognition.

A hybrid bioelectronic retina-probe interface for object recognition.

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  • Journal IconBiosensors & bioelectronics
  • Publication Date IconJul 1, 2025
  • Author Icon Yifei Ye + 11
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YER-SLAM: A Dynamic Visual SLAM Based on Object Detection with Region Growing Algorithm

Traditional vision SLAM, which assumes a static environment, is unable to handle dynamic objects in dynamic environments. The presence of dynamic feature points decreases the localization accuracy and robustness of SLAM. In light of this, we propose YER-SLAM, a dynamic SLAM system employing object detection and region-growing algorithm, which fully utilizes the semantic and geometric information contained in images to identify and eliminate dynamic features in the environment. Firstly, we use YOLOv5 object detection to classify the image into static, dynamic, and potentially dynamic regions to generate a semantic mask that incorporates a priori knowledge. Secondly, we utilize a dynamic object detection algorithm that tightly couples object detection with epipolar constraints to initially identify dynamic features in the scene. Subsequently, we propose a novel strategy for the elimination of dynamic feature points, which integrates the acquired dynamic point with a region-growing algorithm to generate a mask for the dynamic region, thereby enabling the exclusion of the region’s feature points in the tracking process. Finally, the experimental results from the TUM dataset reveal that our algorithm achieves a 94.71% reduction in the average absolute trajectory error in highly dynamic environments, compared to ORBSLAM2. YER-SLAM presented in this paper effectively improves localization accuracy in dynamic environments.

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  • Journal IconJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Publication Date IconJul 1, 2025
  • Author Icon Zhen Li + 2
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Sustainable wheat cultivation in Asia: insights and innovations from long-term field experiments

Abstract. Wheat plays a critical role in ensuring food security across Asia, where increasing demand, resource limitations, and climate change pose significant challenges to the sustainability of production. Long-term field experiments (LTEs), characterized by decades of continuous observation, provide essential evidence regarding the impacts of agronomic practices on productivity, soil health, climate resilience, and resource efficiency. This review synthesizes findings from LTEs conducted in Asia and worldwide to evaluate the sustainability of wheat-based systems. Yield trends observed in Long-term field experiments highlight the advantages of crop rotation, conservation practices, and integrated nutrient management in stabilizing productivity. Although continuous wheat cultivation can lead to soil degradation, practices such as organic amendments and optimized nitrogen management have been shown to enhance soil fertility and nutrient use efficiency. Water management, particularly in water-scarce regions, remains a critical concern; strategies such as mulching, root architecture optimization, and the balance of nitrogen and phosphorus offer measurable improvements in water use efficiency. Additionally, Long-term field experiments illuminate potential pathways for mitigating greenhouse gas emissions through reduced reliance on synthetic inputs and the adoption of conservation agriculture techniques. Despite these advancements, significant knowledge gaps persist concerning the socio-economic scalability of these practices, interactions among genotype, environment, and management, and the effectiveness of institutional support systems. This review identifies priorities for future LTEs, emphasizing the need for multidisciplinary approaches, long-term climate risk monitoring, and innovations in data management. Furthermore, policy support is crucial for institutionalizing LTE networks, enhancing farmer engagement, and mainstreaming sustainable wheat cultivation. The findings underscore the indispensable role of Long-term field experiments in developing resilient wheat systems that align with food security and environmental objectives in Asia.

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  • Journal IconAgricultural Science and Technology
  • Publication Date IconJun 30, 2025
  • Author Icon Nazir Khan Mohammadi + 3
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ESG and Islamic Accounting for Sustainable Islamic Finance: A Qualitative Study

This study explores the alignment between Environmental, Ssocial, and Governance (ESG) principles and Shariah-based Islamic accounting to support sustainable Islamic finance. The objective is to analyze conceptual synergies, identify operational barriers, and propose an integrative framework through a qualitative approach involving a systematic review of academic literature, regulatory documents, and financial reports. Findings reveal that Shariah principles, such as the prohibition of riba, emphasis on social benefit, and environmental protection, align with environmental, social, and governance objectives. Instruments like Green Sukuk in Indonesia and Malaysia and Shariah-compliant microfinance demonstrate practical applications for inclusive development and eco-friendly projects. However, challenges include the lack of standardized Shariah-compliant metrics, regulatory gaps, and low stakeholder awareness. The study recommends developing integrated environmental, social, and governance standards, updating regulatory frameworks, and enhancing stakeholder education to improve transparency and accountability. In conclusion, integrating environmental, social, and governance principles with Islamic accounting can strengthen the sustainability of Islamic finance and support global sustainable development goals, though it requires regulatory harmonization and capacity building.

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  • Journal IconJurnal Ilmiah Akuntansi Kesatuan
  • Publication Date IconJun 30, 2025
  • Author Icon Retnawati Siregar
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The Influence of 15-Second TikTok Videos and Organic Testimonials on Environmental Awareness and Purchase Intention of Sustainable Fashion in Bandung

This study examines the influence of 15-second TikTok videos and organic testimonials on environmental awareness and purchase intention in the context of sustainable fashion in Bandung. Using a quantitative approach, data were collected from 170 respondents and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The results reveal that both TikTok videos and organic testimonials significantly impact environmental awareness and purchase intention, with organic testimonials demonstrating a stronger effect. Environmental awareness is identified as a key precursor to purchase intention, emphasizing the importance of educational and marketing efforts to promote sustainability. The findings provide actionable insights for sustainable fashion brands to leverage social media and peer-generated content in shaping consumer behavior and supporting environmental objectives.

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  • Journal IconWest Science Interdisciplinary Studies
  • Publication Date IconJun 30, 2025
  • Author Icon Feliks Anggia Binsar Kristian Panjaitan + 2
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Innovative Logistics Solutions Formation of an Efficient Service System for Wholesale Businesses

In the context of globalization and rapid technological transformation, establishing an efficient logistics service system is critical for wholesale enterprises. This study investigates how logistics outsourcing, service innovation, and 3D printing technology synergistically drive innovative logistics solutions. Through an integrated approach combining literature review and case studies, the study reveals three key findings: First, logistics outsourcing reduces operational costs and enhances competitiveness by leveraging specialized third-party expertise. Second, service innovation strengthens service quality and market positioning through data-driven analytics and customer-centric customization strategies. Third, 3D printing technology diminishes global logistics volumes via localized on-demand production while addressing personalized consumer demands. The integration of these three elements fosters a flexible and sustainable logistics ecosystem, enabling enterprises to balance efficiency and environmental objectives. However, challenges such as technology implementation costs, workforce adaptability, and supply chain collaboration require systematic mitigation strategies. The study concludes by emphasizing that the strategic alignment of technological innovation and operational synergies is pivotal for wholesale enterprises to develop future-ready logistics systems. It further proposes a practical framework for achieving sustainable growth, while suggesting future research directions to explore advanced applications of artificial intelligence and blockchain technologies in this domain.

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  • Journal IconAmerican Journal of Applied Statistics and Economics
  • Publication Date IconJun 28, 2025
  • Author Icon Jiyu Chen + 1
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The impact of intelligent manufacturing on industrial pollution: firm-level evidence from China

ABSTRACT This paper examines the effects of intelligent manufacturing on pollution emissions in China’s manufacturing sector. Using firm-level tax administrative survey data and a staggered difference-in-differences design, we exploit the spatial and temporal variation in robot park establishment as a quasi-natural experiment. We show that intelligent manufacturing contributes to the pollution emissions reduction. This effect operates through two primary mechanisms: technological progress effect, which improves total factor and labour productivity, and capital savings effect, which optimize energy consumption and reduce the intensity of fixed capital. Furthermore, the emission-reducing effects are more pronounced for large-scale, high-tech, and strategically emerging firms, with these effects further magnified in regions characterized by concentrated industrial clusters. These results provide critical insights into the complex trade-offs between achieving environmental objectives and maintaining industrial competitiveness in developing economies.

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  • Journal IconApplied Economics
  • Publication Date IconJun 27, 2025
  • Author Icon Wen Wang + 2
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Nexus among Renewable Energy, Economic Growth, Technology Innovation, CO2 Emissions, and Life Expectancy in NAFTA: What’s the Forum’s Response Amid Time Frequencies?

This study examines the nexus between renewable energy (RE), economic growth (ECOG), technological innovation (TEI), CO2 emissions, urbanization (URB), and life expectancy (LEX) in NAFTA countries driven by the sustainable development framework. Using advanced wavelet coherence with data from 1990M1-2023M12, along with WAMC techniques, the analysis revealed intricate temporal and frequency-based interactions. Technological innovation and renewable energy boost life expectancy by reducing environmental degradation. As for urbanization and economic growth, these modified results anticipate dependent variables by the quality of infrastructure and policies. In the short run, tested causality relationships between variables show non-directional, while medium- and long-term scenarios evidence mutual reinforcement of the variables with life expectancy leading to renewable energy adoption and emissions reduction. The tests confirm WAMC’s almost perfect integration of factors within time scales, stressing thus their collective outcome on life expectancy. Therefore, this study emphasizes the status of appropriate sustainable policies integrating health, energy, and environmental objectives and creating effective measures toward long-term sustainability in NAFTA.

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  • Journal IconInternational Journal of Energy Economics and Policy
  • Publication Date IconJun 25, 2025
  • Author Icon Michael Provide Fumey + 5
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The Optimal CSR and Sustainability Approach in a Spatial Duopoly: A Comparative Study

In the context of increasing consumer environmental awareness (CEA), firms are progressively adopting corporate social responsibility (CSR) strategies that seek to align profitability with environmental objectives. This paper develops a mathematical model to explore the implications of CSR under two distinct scenarios: one that incorporates both social and environmental impacts and another that focuses solely on environmental concerns. The analysis is situated within a spatial mixed duopoly, where a CSR-oriented firm competes with a purely profit-maximising rival. A game-theoretical framework is employed, in which the CSR firm’s objective function is modelled as a weighted sum of private profits and the environmentally driven welfare of consumers. Equilibrium analysis demonstrates that CSR engagement improves market outcomes relative to a benchmark without CSR and generates positive externalities for the non-CSR firm. Moreover, the scenario prioritising environmental impact alone yields superior sustainability and welfare outcomes for both consumers and firms, despite identical demand and product differentiation conditions. These findings enhance our understanding of how CEA interacts with CSR strategies in imperfectly competitive markets, offering valuable insights for managerial decision-making and the formulation of environmental policy.

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  • Journal IconSustainability
  • Publication Date IconJun 24, 2025
  • Author Icon Hamid Hamoudi + 2
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How Sustainability Is Core for Human Resource Management? A Conceptual Frame Work

These days, industries are becoming more aware of the significance of social, ethical, and environmental goals. In count to financial gain, organizations are focused on the performance with development of individuals, communities, and the environment. Sustainable Human Resource Management (SHRM) is a discipline that supports "green" businesses. The adoption of new ecological practices by the organization's human capital and the incorporation of cutting-edge sustainable strategies are how the “Sustainable Development Goals (SDGs) “are attained. They outline a pattern of planned or newly developed HR strategies and practices meant to sustenance the achievement of economic, social, and environmental objectives while also long-term reproducing the HR basis. They concentrate mostly on manufacturing and sizable service enterprises. The number of workspaces requiring a high level of complexity will rise as a effect of the ongoing automation of simple production processes, necessitating a high level of staff education. In order to address the problems presented by Industry 4.0, this article intends to present the development of a competency model and demonstrates a strategy for how businesses and human resource management might use it. We will also provide an outline of the difficulties and chances that will affect the expansion of human resource management

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  • Journal IconJournal of Informatics Education and Research
  • Publication Date IconJun 24, 2025
  • Author Icon Ashok Sengupta
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Optimal concrete mixture proportions for environmental, economical, and mechanical objectives in concretes exposed to high temperature and re-curing regime based on NSGA-II and MOPSO.

Nowadays, developing economical and environmentally friendly concretes along with considering mechanical and durability objectives is of great significance. This study developed optimal concrete mixture proportions for different heating and re-curing regimes. The objective functions were 28-day, residual, and re-cured compressive strengths, cost, and embodied CO2emissions. A data set, including approximately 500 mix designs, was collected from the literature to develop an optimal ANN model to predict the first three objectives. The genetic algorithm and particle swarm optimization were used to tune the ANN model's hyperparameters. NSGA-II and MOPSO algorithms, besides this optimal ANN model, were then used to develop the optimal mixture proportions for different heating and re-curing regimes. TOPSIS was utilized to sort the non-dominated solutions and select the optimal one based on different weight vectors. The results showed that the R2 values for the verification set in predicting the 28-day, residual, and re-cured compressive strengths were 0.999, 0.987, and 0.977, respectively. The sensitivity analysis revealed that the heating regime (especially peak temperature) is the most fundamental input feature in predicting the post-fire behavior of concretes. The optimal concrete mixture proportion depends mainly on the case study, which considers economic, environmental, and post-fire mechanical objectives. Most of the mixtures were high-strength concretes when all objectives were equally weighted. Increasing the cost and embodied CO2 emissions weights resulted in cost-efficient and environmentally friendly concretes in exchange for inferior mechanical properties. The developed mixtures by NSGA-II were mostly blended with metakaolin when all objectives equally weighted. Silica fume appeared as SCM in mixtures when the cost and embodied CO2 emissions weighted five times that of the mechanical objectives. The proposed framework facilitates the appropriate selection of the mixture proportion.

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  • Journal IconEnvironmental science and pollution research international
  • Publication Date IconJun 23, 2025
  • Author Icon Hamed Kharrazi + 1
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TPS-YOLOv8n: an advanced algorithm for small object detection in complex maritime search and rescue scenarios using unmanned aerial vehicle imagery

Abstract Unmanned aerial vehicles (UAVs) play a crucial role in maritime search and rescue (SAR) missions due to their rapid deployment and high-resolution imaging capabilities. However, detecting small objects in dynamic maritime environments remains challenging, owing to ocean waves, low contrast and motion blur, which degrade detection performance. To address these challenges, we propose TPS-YOLOv8n, an enhanced detection model based on YOLOv8. The acronym ‘TPS’ denotes three key components: a Tiny prediction head, a poly context attention (PCA) module and soft non-maximum suppression (Soft-NMS). These modules are designed to improve small object detection in complex maritime SAR scenarios. Specifically, the tiny prediction head enhances localization on low-resolution feature maps. The PCA module integrates multi-scale convolutional kernels within the cross stage partial network fusion (C2f) structure to enhance feature representation in cluttered backgrounds. Finally, Soft-NMS is employed to suppress redundant detections and reduce false positives. Experimental results on the SeaDronesSee and AFO datasets demonstrate the effectiveness of TPS-YOLOv8n. It achieves an mAP50 of 78.1% on SeaDronesSee, surpassing YOLOv8n by 13.6% and attains 93.7% on AFO, with a 1.6% improvement. These results highlight the robustness of TPS-YOLOv8n and its potential for reliable UAV-based object detection in maritime SAR applications.

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  • Journal IconMeasurement Science and Technology
  • Publication Date IconJun 23, 2025
  • Author Icon Chen Wang + 5
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Coordinated Control of Photovoltaic Resources and Electric Vehicles in a Power Distribution System to Balance Technical, Environmental, and Energy Justice Objectives

Recent advancements in photovoltaic (PV) and battery technologies, combined with improvements in power electronic converters, have accelerated the adoption of rooftop PV systems and electric vehicles (EVs) in distribution networks, while these technologies offer economic and environmental benefits and support the transition to sustainable energy systems, they also introduce operational challenges, including voltage fluctuations, increased system losses, and voltage regulation issues under high penetration levels. Traditional Voltage and Var Control (VVC) strategies, which rely on substation on-load tap changers, voltage regulators, and shunt capacitors, are insufficient to fully manage these challenges. This study proposes a novel Voltage, Var, and Watt Control (VVWC) framework that coordinates the operation of PV and EV resources, conventional devices, and demand responsive loads. A mixed-integer nonlinear multi-objective optimization model is developed, applying a Chebyshev goal programming approach to balance objectives that include minimizing PV curtailment, reducing system losses, flattening voltage profile, and minimizing demand not met. Unserved demand has, in particular, been modeled while incorporating the concepts of distributional and recognition energy justice. The proposed method is validated using a modified version of the IEEE 123-bus test distribution system. The results indicate that the proposed framework allows for high levels of PV and EV integration in the grid, while ensuring that EV demand is met and PV curtailment is negligible. This demonstrates an equitable access to energy, while maximizing renewable energy usage.

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  • Journal IconProcesses
  • Publication Date IconJun 23, 2025
  • Author Icon Abdulrahman Almazroui + 1
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SEEDS OF DISCORD: THE OMINOUS FUTURE OF THE EUROPEAN AGRICULTURAL SECTOR UNDER F2F EU DIRECTIVE AND THE NATURE RESTORATION LAW

In January 2024, a substantial gathering of tractors from diverse European regions converged upon Brussels, staging fervent demonstrations outside the premises of the European Commission and the European Parliament. These protests, persisting to date, are spearheaded by agricultural workers predominantly from medium and small enterprises, urging the European institutions to reconsider the regulations outlined in the Farm to Fork (F2F) directive and the Nature Restoration Law. These regulations are integral components of the European Green Deal, designed to aid the European Union in accomplishing its main objectives: maintaining Earth’s temperature within a 1.5°C threshold, achieving net-zero greenhouse gas emissions by 2050, curtailing pesticide usage by 50% by 2030, restoring ecosystems, promoting sustainable food production, and fostering innovation in the industry. Despite these ambitious goals, farmers contend that these rules are unsustainable, as they fail to consider the unique characteristics of various territories and production entities, thereby imposing bureaucratic constraints. Some stakeholders suggest that the regulations might not genuinely prioritize environmental protection; rather, they could be perceived as potentially favouring large multinational corporations. Notably, individual European governments disclaim any responsibility in this domain, as the entire purview falls under the jurisdiction of the Commission and the European Parliament. This research employs a qualitative approach, involving a comprehensive policy analysis of the F2F EU Directive and the Nature Restoration Law, a critical evaluation of political discourse from EU official documents, media scrutiny of contemporary European newspaper articles, and video interviews with protesting farmers. Through this multi-faceted analysis, the study endeavours to asce rtain whether these regulations genuinely align with the EU’s environmental protection objectives or if they are rooted in ideological political choices that could jeopardize the livelihoods of European farmers. The findings underscore that the decisions of European institutions not only threaten the existence of medium and small-scale farmers but also compromise the production of natural and authentic goods traditionally linked to these agricultural practices. Consequently, the European agricultural sector faces the looming threat of extinction within a few years, potentially replaced by industries specializing in synthetic foods manufactured in laboratories.

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  • Journal IconMalaysian Journal of Sustainable Environment
  • Publication Date IconJun 23, 2025
  • Author Icon Piermauro Catarinella + 2
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Interplay between cash holdings, carbon performance, and board dynamics in GCC

PurposeThe purpose of this study is to examine the impact of firms’ cash holdings on carbon dioxide (CO2) emissions in the Gulf Cooperation Council region and to explore how board characteristics can moderate the environmental impact of cash reserves, thereby fostering sustainability in corporate cash management practices.Design/methodology/approachThe study analyses a sample of 1126 firm-year observations from GCC countries over the period 2010–2022. It applies the fixed effect, the generalized method of moments (GMM), propensity score matching (PSM), and various carbon emission metrics to ensure robustness and address potential endogeneity.FindingsThe findings show that larger cash reserves in the firms increase CO2 emissions, indicating less ecologically friendly use of liquid assets from the management. However, board attributes such as a larger board size, a two-tier board structure, and external-consultants help reduce this impact. In contrast, chief executive officer board-membership and auditor-independence-rotation tend to amplify the relationship, while board-membership-limits show mixed results.Originality/valueThis research underscores the role of governance mechanisms, particularly board characteristics, in mitigating the environmental impact of cash reserves. It offers key evidence to refine corporate governance policies supporting sustainability. Policymakers are encouraged to promote two-tier board structures and engage external-consultants to better align cash management with environmental objectives and foster sustainable business practices.

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  • Journal IconInternational Journal of Emerging Markets
  • Publication Date IconJun 20, 2025
  • Author Icon Tahir Akhtar + 4
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Environment-Economy Balance Based Multi-Stage Supply Planning for Prefabricated Construction

The production and supply of construction materials are the basis for the construction projects. Many pre-planning activities of construction materials, such as the production, transportation and inventory management, are interrelated, which constitute the supply planning in construction especially in the prefabricated construction (PCSP). As global decision-makers, the regional authority aims to minimize the total economic cost including fixed investment, purchase cost, transportation cost and inventory cost from the view of economic development. However, to ensure the environment sustainability, they also need to control carbon and particulate matter emissions during the process of construction materials production. Considering the inherent conflicts of multiple economic and environmental decision-making objectives, a dynamic multi-objective programming model is established to solve this prefabricated construction supply planning problem. The regional authority determines the carbon dioxide and the particulate emissions to maximize revenue under the suppliers operation and prefabricated construction supply logistics limitations. The practicality of the proposed method is then adapted through a case study in China. Different policy control levels for carbon and particulate emissions are discussed to validate the efficiency in systematically controlling the integrated PCSP carbon emissions and particulate matter. Valuable managerial implications are also provided for the low-carbon transformation and sustainable development of construction industry.

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  • Journal IconInternational Journal of High Speed Electronics and Systems
  • Publication Date IconJun 20, 2025
  • Author Icon Mengyuan Zhu + 4
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Fuzzy Optimization and Life Cycle Assessment for Sustainable Supply Chain Design: Applications in the Dairy Industry

The increasing emphasis on integrating sustainability into corporate operations has prompted supply chain managers to incorporate not only economic objectives but also environmental and social considerations into their network designs. This study presents a structured six-stage methodology to develop a fuzzy multi-objective optimization model for the sustainable design of a multi-level, multi-product forward supply chain network. The model incorporates two conflicting objectives: minimizing total network costs and reducing environmental impact. To quantify environmental performance, a comprehensive life cycle assessment is conducted in accordance with the ISO 14040 standard and the ReCiPe 2016 method, focusing on three impact categories: human health, resources, and ecosystems. To address uncertainty in demand and production costs, fuzzy mixed-integer linear programming is employed. The model is validated and applied to a real-world case study of a dairy small-to-medium enterprise in Ecuador. Using the epsilon-constraint method, a Pareto frontier is generated to illustrate the trade-offs between the economic and environmental objectives. This research provides a robust decision-making tool for uncertain environments and advances knowledge on the integration of life cycle assessment with supply chain optimization and network design methodologies for sustainable development.

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  • Journal IconSustainability
  • Publication Date IconJun 19, 2025
  • Author Icon Pablo Flores-Siguenza + 5
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Business Performance and Governance Visual Presentation B02: Mergers and acquisitions landscape in the oil and gas sector: challenges and best practices for integrating clean energy assets

Business Performance and Governance Visual Presentation B02 At a time when productivity and unit costs are at the forefront of executives’ agenda, mergers and acquisitions (M&A) are a key focus, with USD 51 billion in deals completed globally in Q1 2024, continuing a similar trend from 2023. Australian oil and gas companies are equally active with nine M&A deals announced in the first quarter of 2024, totalling USD 2.2 billion. The M&A landscape is changing, with increasing focus on clean energy investments. The oil and gas industry has experienced mixed success from M&A, and the complexity of adding clean energy assets to the portfolio further threatens the attainment of targeted value from the deal. Effective M&A integration is crucial for realising the full potential of these transactions. This abstract examines the key challenges and opportunities associated with integrating clean energy assets into traditional oil and gas portfolios. It will further identify best practices for successful integration, focussing on strategic alignment, cultural integration, value creation, and effective leadership. These practices are essential for maximising deal value and achieving both financial and environmental objectives in this evolving energy landscape. To access the Visual Presentation click on the link on the right. To read the full paper click here

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  • Journal IconAustralian Energy Producers Journal
  • Publication Date IconJun 19, 2025
  • Author Icon Scott Hastie
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