Search Results (44)

Sustainable manufacturing is gaining attention in the scientific literature. However, it remains unclear how to effectively incorporate it within Production Planning and Control (PPC) tasks. All the choices taken in terms of PPC impact sustainability, and sustainability managers and planners or managers involved in tasks, such as scheduling or inventory management, are not conscious of what this means or implies, above all, in terms of the sustainable performance indicators on which their actions can act. While several studies have addressed both PPC and sustainability, there is still limited guidance or structured frameworks specifically aimed at systematically linking PPC tasks with sustainability indicators in a practical and operational industrial context, despite the development of numerous sustainability standards in recent years. For this reason, this research aimed to develop a first detailed framework, specifically based on the Global Reporting Initiative (GRI) standard, that associates the most relevant indicators with the PPC phases, highlighting the type of impact (direct or indirect) of each phase on them. This could help with strategic decisions and promote more informed choices. The overall framework revealed the prevalence of environmental aspects involved in PPC phases (as expected) and a challenge related to the measurability of indicators (above all, the social ones). Furthermore, the Material Requirements Planning (MRP), identified as the most significant phase in terms of its impact on sustainability, was deeply analyzed, providing details related to the decision-making processes of this phase that affect sustainable performance. Full article

This paper presents a hybrid fast charging strategy for static wireless power transfer (WPT) systems that synergistically combines pulsed current and multi-stage current (MCM) modes to enable rapid yet battery-health-conscious electric vehicle (EV) charging, thereby promoting sustainable transportation. The proposed approach employs a memetic algorithm (MA) to dynamically optimize the charging parameters, achieving an optimal balance between speed and battery longevity while maintaining 90.78% system efficiency at the SAE J2954-standard 85 kHz operating frequency. A neural-network-based state of charge (SOC) estimator provides accurate real-time monitoring, complemented by MA-tuned PI control for enhanced resonance stability and adaptive pulsed current–MCM profiles for the optimal energy transfer. Simulations and experimental validation demonstrate faster charging compared to that using the conventional constant current–constant voltage (CC-CV) methods while effectively preserving the battery’s state of health (SOH)—a critical advantage that reduces the environmental impact of frequent battery replacements and minimizes the carbon footprint associated with raw material extraction and battery manufacturing. By addressing both the technical challenges of high-power WPT systems and the ecological imperative of battery preservation, this research bridges the gap between fast charging requirements and sustainable EV adoption, offering a practical solution that aligns with global decarbonization goals through optimized resource utilization and an extended battery service life. Full article

Enzymes and biosurfactants, often referred to as “green chemicals,” play pivotal roles in enhancing the washing performance of bio-based detergents—a growing trend driven by environmentally conscious consumers. However, the widespread adoption of such bio-based detergents faces challenges, including high costs, limited efficiency, and the need for ongoing innovations. Bacillus species have long been universally acknowledged and exploited for industrial applications, and Bacillus spp. are largely differentiated from other microorganisms for their enzymatic applications, particularly in detergent production. Recent developments in bio-surfactant production by Bacillus sp. support the adoption of green detergents, and these bacterial biosurfactants are a promising source for detergent manufacturing. This article provides an overview of the current understanding of promising Bacillus species and their potential to advance and accelerate the production of bio-based detergents. Full article

Additive manufacturing (AM) techniques have transformed the production of parts and components with intricate geometries and customized designs, driving innovation in sustainable manufacturing practices. The additive manufacturing technology used in this work was selective laser melting (SLM), a process that uses laser energy to sinter powdered metals into solid structures. Among the various materials utilized in AM, Ti6Al4V titanium alloys are of particular interest due to their favorable mechanical properties, corrosion resistance, biocompatibility, and potential for reducing material waste. However, the machining of additively manufactured titanium parts presents challenges due to the material’s low conductivity, elastic modulus, and chemical affinity with cutting tools, which impact tool wear and surface finish quality. Milling, a commonly employed process for finishing titanium parts, often involves significant energy use and tool wear, highlighting the need for optimized and eco-conscious machining strategies. This study aims to establish correlations among four key aspects: (1) surface finish of machined Ti6Al4V AM parts, (2) cutting tool damage, (3) dry milling parameters including different cutting tools, and (4) variation of temperature at the contact surface of AM parts and tools using infrared thermography. By examining parameters such as feed per tooth (Fz), axial depth of cut (Ap), spindle trajectories (trochoidal, helicoidal, and linear), and cutting tool diameters, this work identifies conditions that enhance process efficiency while reducing environmental impact. Infrared thermography provides insights into temperature variations during milling, correlating these changes to surface roughness and critical machining parameters, thus contributing to the development of sustainable and high-performance manufacturing practices. Full article

As product diversity continues to expand in today’s market, there is an increasing demand from customers for unique and varied items. Meeting these demands necessitates the transfer of different sub-product components to the production line, even within the same manufacturing process. Lean manufacturing has addressed these challenges through the development of kitting systems that streamline the handling of diverse components. However, to ensure that these systems contribute to sustainable practices, it is crucial to design and implement them with environmental considerations in mind. The optimization of warehouse layouts and kitting preparation areas is essential for achieving sustainable and efficient logistics. To this end, we propose a comprehensive study aimed at developing the optimal layout, that is, creating warehouse layouts and kitting preparation zones that minimize waste, reduce energy consumption, and improve the flow of materials. The problem of warehouse location assignment is classified as NP-hard, and the complexity increases significantly when both storage and kitting layouts are considered simultaneously. This study aims to address this challenge by employing the genetic algorithm (GA) and Ant Colony Optimization (ACO) methods to design a system that minimizes energy consumption. Through the implementation of genetic algorithms (GAs), a 24% improvement was observed. This enhancement was achieved by simultaneously optimizing both the warehouse layout and the kitting area, demonstrating the effectiveness of integrated operational strategies. This substantial reduction not only contributes to lower operational costs but also aligns with sustainability goals, highlighting the importance of efficient material handling practices in modern logistics operations. This article provides a significant contribution to the field of sustainable logistics by addressing the vital role of kitting systems within green supply chain management practices. By aligning logistics operations with sustainability goals, this study not only offers practical insights but also advances the broader conversation around environmentally conscious supply chain practices. Full article

The rapid expansion of global infrastructure has amplified the environmental impact of construction, particularly through the carbon footprint of structures. Addressing this challenge, this study examined the potential of vibration control systems to reduce the carbon footprint of steel-frame buildings subject to dynamic wind loads. Utilizing the Force Analogy Method (FAM), which effectively addresses nonlinearity in structural analysis, the research modeled a 10-story steel frame subjected to synthetic downburst wind time history velocities generated through spectral simulation techniques. Both passive and active control systems were implemented, with a focus on tuned mass dampers (TMDs) and active mass dampers (AMDs) to reduce structural displacements and accelerations. The results revealed that these systems not only significantly reduce the peak structural responses but also, when combined with optimized manufacturing methods, lead to a decrease in steel usage. This optimization contributes to a reduction of up to 20% in CO₂ emissions during the pre-use stage of a building’s lifecycle. By enhancing the material efficiency and minimizing the environmental impacts, this research highlights the critical role of advanced control systems, supported by new nonlinear analytical methods, in promoting environmentally conscious engineering. This approach aims to guide future generations in developing structural engineering projects that prioritize sustainable practices. Full article

The latest policy and research recommendations focus on advancing transition of housing to the circular economy framework to tackle environmental and affordability challenges. A key strategy for this is industrialised construction, which combines controlled manufacturing methods with strategies that facilitate future disassembly, allowing for adaptations, maintenance, and material reuse. Despite its importance, long-term housing solutions that integrate both industrialised construction and disassembly remain rare. This study obtained insights into circular industrialised housing from the Solar Decathlon Europe competition through interviews and observations with fifteen participating teams in Wuppertal, Germany, in 2022. The competition’s build challenge provided a unique opportunity to examine the practical application of both industrialised and disassembly approaches, where teams developed highly energy-efficient, affordability-conscious, and scalable housing systems. On-site interviews with team members from diverse disciplines took place midway through the competition’s assembly phase. These were further informed by observing team Azalea’s housing disassembly in Spain, which took place shortly before reassembly in Germany. Thematic and content analyses were conducted using a predefined framework based on holistic factors and lifecycle processes. Our results reveal the critical impact of Cultural factors, particularly during the (re)design process and provide new data to aid our understanding of the (dis)assembly process. This study contributes towards the development of a circular industrialised housing framework. Full article

Purpose: Addressing sustainability challenges in additive manufacturing (AM) is critical due to high energy consumption and waste. Optimising AM operations is vital for sustainability. However, the existing literature lacks practical examples for AM companies on how to enhance sustainability. To address this gap, a case study within an AM firm was conducted. Design approach: Using the analytical hierarchy process (AHP), sustainability key performance indicators (KPIs) were identified, aligned with the firm’s strategic objectives. Sustainable value stream mapping (Sus-VSM) analysed the production process for sustainability performance. A sustainability strategy map (SSM) was created based on the five perspectives of the 4th generation balanced scorecard (BSC) approach and the results from the case study. Findings: The research identified optimisation areas in the multi-jet-fusion (MJF) process, crafted tailored sustainability KPIs, and developed a SSM to seamlessly integrate sustainability initiatives into the company’s vision. Value: This contribution provides a structured methodology for selecting KPIs and offers a holistic approach to implementing Sus-VSM within the AM industry. The manuscript emphasises the need to incorporate a fifth perspective into the BSC and proposes a framework for developing a SSM. This study aims to guide AM companies toward a more environmentally responsible and socially conscious approach to manufacturing. Full article

In response to ever-increasing pressure from stakeholders to reduce the impact of their operations and supply chain on the natural environment, firms frequently make public commitments to improve environmental performance. However, the commitments are difficult to validate and thus of unknown quality. Understanding whether and when the commitments are valid proxies for action is essential because they are used by environmentally conscious stakeholders to assess firm environmental performance in anticipation of buying from, investing in, working for, or selling to a firm. Results from examining 442 U.S. manufacturing firms show that firms generally follow through on such commitments. Larger firms and firms with better environmental performance are more likely to follow through. However, firms tend not to follow through if they are experiencing negative environmental publicity or resource constraints at the time of the commitment. The results provide important insights for environmentally conscious stakeholders who use the commitments to determine whether to buy from, invest in, work for, or supply to a firm. The study also highlights the benefits to firm leaders of following through and provides input towards ideas that can increase follow-through. Finally, the study contributes to several streams of the research literature, including the literature evaluating environmental management, environment commitments, and environmental accidents. Full article

The increasing concern over environmental sustainability has prompted various industries to reassess their practices and explore greener alternatives. Dentistry, as a significant contributor to waste generation, is actively seeking methods to minimize its environmental footprint. This paper examines the environmental implications of clear aligner therapy (CAT) in orthodontics and explores strategies to prioritize sustainability in aligner manufacturing and usage. CAT has gained popularity as a viable alternative to traditional fixed appliances due to advancements in biomaterials and computer-aided design (CAD) and manufacturing (CAM) technologies. The global market for clear aligners is expanding rapidly, with significant growth projected in the coming years. To address these challenges, this paper proposes adopting the principles of reduce, reuse, recycle, and rethink (4Rs) in orthodontic practices. Strategies such as minimizing resource consumption, incorporating recycled materials, and promoting proper aligner disposal and recycling can significantly reduce environmental harm. This paper explores emerging technologies and materials to mitigate the environmental impacts of CAT. Additionally, initiatives promoting aligner recycling and repurposing offer promising avenues for reducing plastic waste and fostering a circular economy. In conclusion, while CAT offers numerous benefits in orthodontic treatment, its environmental impact cannot be overlooked. By implementing sustainable practices and embracing innovative solutions, the orthodontic community can contribute to a more environmentally conscious future while continuing to provide quality care to patients. Full article

In an increasingly globalized and sustainability-conscious market, the environmental attributes of products consist of the information of primary importance for the sustainable development of manufacturing companies. The aim of the paper is to statistically analyze the Environmental Product Declaration (EPD) reports that have resulted from Life Cycle Analysis (LCA) in the metal products industry based on two parameters: (i) the geographical scope and (ii) the category of the product. During recent years, EPDs have been developed as a tool for the carbon footprint assessment of products; however, they not yet very widely applied by metal-manufacturing companies and/or requested by key stakeholders as customers. Moreover, in the metal industry, the use of EPD reports is not yet as widespread as in other industrial segments such as plastics. The present article is based on the EPD Library of the official website of the International EPD System (Environdec) and the published EPDs of the Institut Bauen und Umwelt e.V. (IBU). Data were extracted, and the relevant information was compiled by using the available filters of the EPD and the IBU Libraries. Based on these data, the number of EPD reports issued by manufacturing companies was examined as per country of origin and product category. Full article

The textile industry, a vital contributor to Pakistan’s economy, faces pressing challenges in transitioning towards sustainability amid global environmental concerns. This manuscript presents a comprehensive case study on the implementation of IoT-driven strategies in the Pakistani textile sector to achieve digital and sustainable transformation. The findings reveal that the implementation of IoT technologies facilitated real-time environmental monitoring, enabling compliance with regulatory standards, and fostering sustainable manufacturing practices. Ultimately, this manuscript offers valuable insights into the transformative potential of IoT technologies in driving sustainable practices in the textile industry. The case study serves as a benchmark for other textile-producing regions aiming to embark on a digital and sustainable journey. These findings hold significant implications for the ongoing dialogue on sustainable industrial development, providing valuable direction for policymakers and stakeholders in shaping a more resilient and ecologically conscious future. Future research should prioritize addressing issues like data confidentiality and interoperability while adhering to standard requirements. Additionally, exploring analytics and machine learning methods for predictive maintenance, optimized performance, and operational improvement is crucial. Full article

This study tackles the challenge of optimizing scrap blends in steel production to achieve sustainability and environmental consciousness. Focusing on a steel-casting company as a case study, we develop a mathematical model that minimizes cost, emissions, and energy consumption while maximizing scrap utilization. This model considers the specific elemental composition of various scrap piles and pure elements, alongside their associated costs and environmental impacts in the production of GS52 steel in a foundry company. Through the GAMS program and further verification with Microsoft Excel, we demonstrate that the optimal blend significantly reduces raw material costs by prioritizing scrap (99.7%) over pure elements. Moreover, this optimized blend minimizes energy consumption and associated carbon emissions, thus contributing to a more sustainable and environmentally friendly steel production process. This study offers valuable insights and a practical framework for the steel industry to adopt cost-effective and eco-conscious practices, aligning with global efforts towards sustainable manufacturing. Full article

As the world embarks on a global mission to tackle climate change, reducing carbon represents a key challenge given the escalating global warming. The U.K. is among many other nations that are determined to decarbonise all sectors and strive to achieve a net zero carbon target by 2050. While much attention has been paid to improving performance and reducing carbon emissions in electrical machines, the current research landscape focuses mainly on the thermal and electromagnetic facets. Surprisingly, carbon emissions from the production stage, especially those related to raw material consumption, remain a largely unexplored area. This paper wishes to shed light on a neglected dimension by providing a comprehensive review of carbon emissions in the manufacture of electrical machines, thus contributing significantly to the wider discourse on carbon emission reduction by comparing the carbon emission values associated with various materials commonly used for the main components of these machines. A further case study is included to assess and explore the impact of material alterations on a synchronous machine, from a carbon emission perspective. A reliable material guide will provide engineers at the design stage with the critical insight needed to make informed material selection decisions, highlighting the critical role of carbon emission values beyond conventional thermal and electromagnetic considerations, achieving sustainable and environmentally conscious electrical machine design. Full article

In recent decades, more and more consumers are becoming concerned about the environment and increasingly tend to buy remanufactured products. However, despite the emergence of green consumerism, many original equipment manufacturers (OEMs) are unlikely to engage in remanufacturing themselves and instead prefer to contract it to third-party remanufacturers (TPRs). Although the literature has recently highlighted the difference between outsourcing and authorizing remanufacturing, it does not explore how green consumerism impacts the choice between these two remanufacturing modes. To fill this gap, in this study, we develop two theoretical models according to which the OEM can outsource or authorize its remanufacturing operations to a TPR to satisfy green consumers who prefer remanufactured products. By comparing optimal outcomes, such as quantities, profit, and environmental factors, our analysis shows that a substantial proportion of environmentally conscious consumers prefer the strategy of remanufacturing outsourcing, which provides a win–win–win strategy for the OEM, the TPR, and the environment; otherwise, the OEM chooses to authorize remanufacturing, which negatively affects the TPR and the environment. As such, we suggest that governments try to increase the proportion of the population that favors green consumerism or implement measures that encourage OEMs to adopt remanufacturing outsourcing. Full article