bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantifying the Carbon Footprint of Events: A Life Cycle Assessment-Based Framework for Evaluating Impact of Location and Timing
Authors: Atescan-Yuksek Yagmur , Paddea Sanjooram , Jackson Sharon , Jolly Mark , Salonitis Konstantinos 
Published: January 2025

AbstractThis research proposes a Life Cycle Assessment-based framework to quantify the carbon footprint of events, considering the event's location and timing. The framework aims to standardise environmental impact calculations through inventory analysis. To validate it, a comparative analysis on conducting an event in different locations and time periods, while maintaining similar scale and nature is conducted. The assessment includes emissions from attendee transport, accommodation, food and drink, and venue. Additionally, it considers emission reductions resulting from attendees not using their personal household resources. This accounts for the actual additional emissions released into the atmosphere as a consequence of the event. The results highlight variations in emissions across different consumption categories based on the selected location and timing. By providing this information, the LCA-based framework provides valuable guidance for event organizers and policymakers to assess event environmental impacts and promote sustainability.
Developing a Novel Eco-design Approach for Disassembly Based on Fuzzy Sustainable QFD, Customer Segmentation and Circularity
Authors: Tang Hermès , Keivanpour Samira 
Published: January 2025

AbstractDesign for Disassembly (DfD) is a challenging concept that facilitates the disassembly of products for refurbishing and reusing their components. In the context of circular economy, DfD minimizes value loss at the end of product’s life and remanufacture costs and maximizes environmental benefits. Therefore, DfD considers technical, environmental financial and social factors, but they are rarely integrated. Today, many studies state that the use of Quality Function Deployment (QFD) approach as a decision support tool helps to make choice by promoting one criterion over one another. However, a systematic approach should also consider uncertainties associated with DfD such as technical features, the recovered parts, the disassembly process, and the optimal disassembly sequence due to the product complexity. The current paper analyzes and compares different QFD approaches in the literature review and then provides a new Fuzzy Sustainable QFD (FS-QFD) methodology, which integrates the three pillars of sustainability. Finally, it shows the effectiveness of the suggested approach through a numerical example.
Enabling Aircraft Recycling Through Information Sharing and Digital Assistance Systems
Authors: Keiser Dennis , Pupkes Birte , Otto Thorsten , Reiß Matthias , Poggensee Matthias , Rehsöft Sonja , Terno Antje , Ernits Rafael Mortensen , Freitag Michael 
Published: January 2025

AbstractDue to the environmental targets of the aviation industry, opportunities for optimization are being explored along the entire life cycle of commercial aircraft. In this context, the recycling of aircraft is increasingly the focus in the aviation industry. Previous research work has therefore examined the overarching recycling process. However, current approaches to improve and increase the aircraft recycling are not sufficient to achieve the defined goals. Based on this motivation, this paper presents first the general challenges of aircraft recycling. Subsequently, the paper shows a conceptual framework whose focus is on the lifecycle phases as well as on its stakeholders and its data. Furthermore, a first conceptual data sharing architecture for the implementation of the approach is introduced. The operationalization in the form of a user interface for a digital assistance system which makes the data available to a recycler in a structured way concludes this paper.
Simulation of an Integrated Manufacturing Remanufacturing System
Authors: Paul Magdalena , von der Horst Teresa , Kerkhoff Felix , Reinhart Gunther 
Published: January 2025

AbstractIn the ongoing European pursuit of a circular economy, remanufacturing has been identified as a crucial strategy for both waste reduction and the attainment of material self-reliance. Remanufacturing offers a promising solution to extend component lifespan and achieve circularity by disassembling, reprocessing, and reassembling returned products to match newly manufactured ones. However, complexities and costs pose significant obstacles, particularly for small and medium-sized enterprises (SMEs), where integrating remanufacturing into existing manufacturing systems can be a solution. The goal of this work is to show how an integrated remanufacturing system can be simulated with conventional software and that the integration could be beneficial for an SME. An approach is suggested and a simulation is conducted on the integration of manufacturing and remanufacturing of water meters. The results of the use case show that for the remanufacturing of water meters, integrating the used products into different points of the manufacturing system could increase the system’s output in general.
Methodology for a Holistic Analysis and Optimization of the Circularity of Products
Authors: Neumann Dominik , Vielhaber Michael 
Published: January 2025

AbstractCircular economy (CE) is one of the key concepts to improve sustainability through reducing resource dependency and scarcity but increasing resource efficiency. Currently there are no holistic methods to analyze and assess product and material cycles systematically, which would however be a prerequisite to further improve CE. Thus, this contribution presents a methodology for assessing the circularity of products along their whole life cycle. In this way, the greatest potentials for improving circularity can be identified and then iteratively optimized. The methodology is founded on a bottom-up approach and consists of three phases. At the beginning in the data collection phase, all necessary data is gathered and stored in a digital product passport. The key data needed for the assessment are material data (e.g., origin, recycled or primary), energy used, working time from humans and machines, transport routes and involved processes with required tools. In the following evaluation phase, various circularity indicators and a detailed profile of the evaluated product are created. The results are interpreted in the third phase and requirements are derived from the product profile with the indicators to improve the circularity of the product. The methodology is demonstrated on the use case of a spice grinder.
Elaboration of an Operational Methodology for the Development of a Collaboration Platform for the Reuse of Tools and Tool Components
Authors: Schuh Günther , Lukas Gerret , Haase Bernd , Calchera Riccardo 
Published: January 2025

AbstractEnvironmental sustainability is becoming increasingly important for tool and die making companies. Tools and tool components are often discarded because they are no longer needed for their original application, although they are often still good to use. Despite the need for environmental sustainability, the concept of circular economy, especially reuse, is not applied. This paper deals with the elaboration of an operational methodology for the development of a collaboration platform for the reuse of tools and tool components.The analysis of existing methodologies for the development of collaboration platforms that incorporate environmental sustainability and reuse, shows the need for the development of a specific methodology for tooling. In addition, the market demand for tooling and tool components, the environmental impact of tooling reuse, and potential revenue streams for the platform demonstrate the industry need. The methodology includes a specific approach in each phase and includes determined methods and standards to implement it. Overall, the results of each phase of the developed methodology enable the user to develop a platform with a circular economic and waste reduction orientation. Further research is needed for validation as well as practical implementation and further improvement of the methodology for developing collaborative platforms.
Boosting Resource Efficiency and Circular Economy of the Manufacturing Companies in Finland
Authors: Salminen Katri , Kostia Silja , Ijas Mika , Siivonen Jere , Kiviniemi Erkki , Aho Markus 
Published: January 2025

AbstractIncreased resource efficiency and circular economy among manufacturing industry could help to turn sustainability into economic value while simultaneously supporting policy objectives set to decrease CO2 emissions. Overall, this will require changes in organizational strategies, fast uptake of new technologies and skilled workforce. The paper investigates the status of the Finnish manufacturing industry in the uptake of both practices in product design and production, development and future needs in resource efficiency and circular economy in terms of research, skills and investments. A total of 38 Finnish manufacturing companies (18 small and medium size enterprises) answered the survey. The results show that overall Finnish industry considers that the uptake of resource efficiency and circular economy is in at a good level. However, respondents were able to identify several enablers and barriers that could further facilitate the transition towards sustainable manufacturing. Finally, the paper investigates collaboration needs of the manufacturing companies with research organisations and universities in several different sustainable manufacturing technologies such as material efficiency. In the discussion part a collaboration model between a Finnish university and regional manufacturing industry companies is represented and regional testbeds supporting twin transition will be discussed in detail.
Development of a Maintenance Framework for Addressing Power Outage in South Africa
Authors: Behrens Thembeka , Daniyan Ilesanmi , Ale Felix , Ayodeji Sesan Peter 
Published: January 2025

AbstractIn recent times, South Africa has been experiencing power outages, which has significant effect on businesses and economic wellbeing of the nation. To address this challenge, this study develops a maintenance framework that power-generating industries in South Africa can implement. Primary data was collected from company X that is a major subsidiary of the power generating industry in South Africa to probe the root causes of power outages in recent times. The analysis of the data obtained was carried out using Pareto chart. The results obtained identified delay in maintenance operations as one of the possible causes of power outages. The rework job was observed to be tardy by 50 days. This length of days is critical enough to cause power outage. To address this, a framework was developed to assist in effective scheduling of maintenance activities. Hence, this work provides an insight into the possible causes of power outages in South Africa and how they can be mitigated to avoid load shedding.
Sustainable Manufacturing for SMEs: An Agile Readiness Model of Decarbonization Through Theory and Practice
Authors: Tang Xiaohui , Yang Shun , Qian Yanwen , Thiede Sebastian 
Published: January 2025

AbstractDecarbonization is a critical area as companies work to meet the environmental mandates associated with their environmental, social, and governance (ESG) commitments. It provides significant potentials for the sustainable manufacturing of Small and medium-sized enterprises (SMEs) to match the demands from the downstream value chain. However, SMEs find themselves not ready to take the first step due to a lack of sufficient professional resources. This paper presents a literature review and practical investigation to find out the root causes of decarbonization issues with regard to SMEs. As novel countermeasure, an agile readiness model with consideration of production and environment engineering is developed which allows collectively identifying the current status and targeted performance. Finally, the proposed approach is validated through a case study with industrial partners (in developed countries like Germany and The Netherlands, and emerging countries like China).
System Boundaries, Data Sources and Assessment Methods in the Ecological Evaluation of Complex Assembly Products
Authors: Funk Felix , Franke Jörg 
Published: January 2025

AbstractLife Cycle Assessment (LCA) has become the most popular method for assessing the environmental impact of products. It is internationally standardized by ISO 14040 and ISO 14044, which outline the general methodology, steps, and issues to be considered. While the standards ensure a consistent general understanding of the method, it does not provide explicit recommendations on the decisions to be made when conducting an LCA. These decisions include, in particular, the definition of system boundaries, the prioritization of data sources, and the selection of appropriate assessment methods. For some industries, particularly raw materials and process goods, the gap has mostly been filled by industry standards. The vast number of manufactured goods that are the result of complex assemblies originating from multi-tiered supply chains still lack such industry standards. This work addresses the issue by conducting a thorough literature review on the subject. As a result of the literature review, methodological gaps are identified and quasi-standards are derived from previous studies, thus providing general guidance for future LCA of complex assembly products.
Towards Real-Time Condition Monitoring of Electroplating Plants
Authors: Lindner M. , Duckstein R. , Mennenga M. , Herrmann C. 
Published: January 2025

AbstractFor securing a high-quality plating process, one of the main challenges in electroplating is the dosing of electrolytes. The optimal dosing and the related demand for resources do not only influence the coating quality but can also have a high environmental and economic relevance. Currently, the condition monitoring approaches related to dosing are mostly model-based and are seldom real-time capable. Therefore, a concept for real-time data-based condition monitoring of electrolytes is proposed. The paper discusses the challenges of pre-processing and modeling time series data with machine learning algorithms and quality requirements and availability of data within the electroplating process. Moreover, the usage of neural networks for condition monitoring of time series data is presented and discussed in a case study with a focus on anomaly detection. With this example, the applicability of a data-based approach for dynamic prediction of electrolyte chemicals is presented and evaluated.
Planning and Control of Value Creation Networks in Timber Construction
Authors: Orozco Sebastian , Oertwig Nicole , Feldhaus Annika , Eingarnter Valentin , Mintchev Maxim , Kohl Holger 
Published: January 2025

AbstractAlmost 40 percent of the global carbon emissions are caused by the construction and building sector. Additionally, the production of traditional building materials like concrete and steel requires a large amount of energy. The demand for residential buildings is increasing none the less and can potentially be met by utilizing more sustainable materials like timber in construction. However, timber construction is still connected to a rather manual value creation chain and analog information transfer. To make the process more time- and energy efficient, this paper proposes a framework for the value creation system of urban timber construction from the forest to the city. The three-leveled framework, based on the principles of Industry 4.0, connects the urban development planning with the vertical networking of digital technologies and the horizontal networking in the value chain. The framework is implemented to a dashboard using Microsoft Power BI to demonstrate the close relations of the layers.
Technologies and Concepts for E-Waste Treatment in Urban Secondary Raw Material Factories
Authors: Meyer Kolja , Görgens Severin J. , Persch Christoph , Dröder Klaus , Herrmann Christoph 
Published: January 2025

AbstractSupply chains for cities are currently challenged due to geopolitical conflicts and general resource scarcity of substantial raw materials. One currently discussed strategy to reduce the dependency of external supply is a relocalization of production facilities to cities enabling local secondary raw material extraction integrated in Circular Economy value creation chains. Urban regions offer the potential for the installation of circular and secondary raw material factories because of the concentration of waste- and byproducts, which can reduce transport efforts. The installation of urban factories is however highly dependent on the economic feasibility as well as the acceptance of the local environment. One critical source for the retrieval of critical raw materials are e-wastes. The current retrieval of these critical raw materials from e-wastes is connected to high spatial requirements and production volumes. These characteristics would hamper an installation in urban areas. Current literature provides different approaches with the intention to adapt e-waste treatment to these special conditions. To assess which of these are suitable for utilization in urban environments, this paper provides an analysis of their possibility to generate an urban fit. To do so, criteria containing ecologic, social, and economic, technological indicators are defined and an assessment of the suitability is conducted.
Optimal Design of Pipeline Networks for Inter-plant Water and Energy Integration
Authors: Piccoli Renzo O. , Trucco Diego J. , Presser Demian J. , Cafaro Diego C. 
Published: January 2025

AbstractThe concentration of specific industries in relatively small areas exists in many countries. This characteristic incentivizes cooperation and facilitates the optimal use of common resources. That is the case of the cluster of crop and chemical manufacturing industries in the center of Argentina, next to the Parana River. All of these plants are closely linked to the use of water streams in associated processes. The objective of this work is to minimize the overall costs of water and energy consumption through the optimal design of an inter-plant pipeline network. This is achieved by considering the daily availability and demand of hot water at each node over time, while ensuring that all pipelines are capable of reversing flows, if needed, at the expense of specific equipment and operating costs. The optimization model developed in this work can be categorized as a MILP formulation that considers fluid dynamics variables, temperatures, energy and flow in order to properly determine the pipeline diameters. The construction and operation of water pipelines in concentrated industrial regions can leverage positive impacts on the sustainable use of natural resources. In contrast to previous contributions, explicit consideration of flow reversals offers benefits that can significantly reduce investment costs.
Empirical Investigation into the Drivers of Green Manufacturing Technologies
Authors: Shukla Ganesh Prasad , Gupte Pranav 
Published: January 2025

AbstractGlobal manufacturing sectors are progressively using state-of-the-art green technologies (GTs) to alleviate the detrimental effects of production on the environment. Adoption of GTs is motivated by a number of variables referred to as drivers. Although a variety of drivers and GTs are described in the literature, few models demonstrate the intricate relationships that occur between them. Although there are evidences that drivers might be distinctive for every particular GT in a given business, there is a dearth of empirical study on how and to what extent the drivers are influencing the adoption and implementation of GTs. To address these gaps, this study first categorizes drivers and GTs based on existing literature. Subsequently, a theoretical framework is developed grounded in natural resource-based view (NRBV), establishing the link between adoption of specific GTs and their potential drivers through the development of enabling key resources. A case study of an Indian steel manufacturing company is conducted to empirically test the framework by analyzing various implemented green initiatives. Observed compliances and deviations to the framework are examined. Additionally, this research offers valuable insights to manufacturing managers for GT selection and recommends avenues for future research in this domain.
Optimizing GHG-Emissions in Milling by Integrating Electricity Mix Data into Manufacturing Parameter Decisions
Authors: Karnapp Sebastian Felix , von Elling Magnus , Sarikaya Erkut , Weyand Astrid , Weigold Matthias 
Published: January 2025

AbstractIndustry is responsible for approximately 25% of global greenhouse gas (GHG) emissions, contributing substantially to climate change. Sustainable manufacturing has therefore become a significant topic of discussion, resulting in a better understanding of key GHG emitters in milling processes. This paper investigates the influence of different compositions of the German electricity mix on the CO2-eq. Emissions of a milled steel disc defined by the Product Carbon Footprint (PCF). Using more wind and solar energy reduces CO2-eq. Emissions significantly in comparison to an energy mix almost without green energy types. The cradle-to-gate PCF of the investigated steel workpiece ranges from 8.44 to 11.91 kg CO2-eq., corresponding to a 41.18% increase caused solely by alternations in the energy mix composition. Feed rate was selected as the parameter for the optimization of the PCF, suggesting maximizing the feed rate to shorten production times. Emissions directly attributable to the milling process can be reduced by 11.59% and 16.93%, respectively in the two scenarios. Expected increase in cost and varying surface quality due to increased tool wear were not part of this investigation. This approach demonstrates the potential for environmentally sustainable manufacturing strategies by integrating electricity mix data into manufacturing parameter decisions.
Data-Driven Approach for a Continuous Information Flow in a Closed-Loop Supply Chain
Authors: Letzgus Celine , Kirsch Jennifer Alica , Bauernhansl Thomas 
Published: January 2025

AbstractDue to the large variety of actors, channels, and materials involved, the processes of the circular economy are very complex. This complexity makes it difficult to maintain consistent data quality throughout the supply chain. Circular processes can only be applied extensively if enough data, for example supplier information, is available. Data and information from suppliers, manufacturers, end-users, and recyclers are not shared transparently through circular processes. One reason is the insufficient support from IT systems for data exchange between the different parties. To improve data exchange, a product-independent process view of the closed-loop supply chain based on the supply chain operations reference model is introduced in this work. Then, an approach is presented to improve data quality in closed-loop supply chain processes through data-based models. The human-in-the-loop method is used to capture data and enable integration of this approach in IT systems for closed-loop supply chains. Therefore, a more transparent data flow laying the foundation for improved data quality throughout the supply chain can be achieved.