Life Cycle Of Components Research Articles

Assessment of the Influence of the Life Cycle of Solar Power Plant Materials and Components on Ecosystem Quality.

Currently, silicon is the most often utilized material for photovoltaic cell manufacturing, as it has the potential to convert solar energy directly into electricity. The silicon used in photovoltaic solutions must be highly pure. Large amounts of power, raw materials, and fossil fuels are consumed in the production process. Post-consumer treatment of polymers, materials, and components also requires energy and matter. These processes have a significant influence on the environment. As a result, the primary purpose of this article is to evaluate the influence of a photovoltaic power plant's material and component life cycle on ecosystem quality. The research focuses on an actual photovoltaic power plant with a capacity of 2 MW located in northern Poland. According to the findings, photovoltaic modules are the part that has the most negative environmental impact, since their manufacturing requires a substantial amount of materials and energy (primarily from conventional sources). Post-consumer management, in the form of recycling after use, would provide major environmental advantages and reduce detrimental environmental consequences throughout the course of the solar power plant's full life cycle.

A General Survey of the Use Cases of Artificial Intelligence in Human Resource

Background: such a thorough understanding of this study could best be achieved through conducting in-depth case studies on organizations that have successfully implemented AI in their HR functions, exploring the benefits, challenges, and impact on their workforce, organization, and even the whole of society and a systematic review of existing literature on AI in HR, synthesizing the results of multiple studies to conclude the overall effectiveness, benefits, and challenges associated with AI applications in HR. This study aims to bring out a comprehensive panorama of AI applications in the six sectors of HRM and the impacts of AI implementation in HR on the transformation of business HR practices and its role transformation due to the advent of AI, as well as to promote technological change and ethical policy norms, and legal improvements in this area. Method: We have selected the relevant literature through a scoping study, and we have categorized it according to the six components of the Human Resource Life Cycle. Conclusion: The literature already covers all six of the human resource life cycle's elements as well as its implications for technology and ethical issues. Future studies may concentrate on how AI affects relationships between dimensions and how it affects results that are particular to human resources. Although AI should still be seen as a solution to many of the problems that face human resources management in businesses, practitioners must acknowledge the limits associated with the implementation of AI in HRM.

Comparative life cycle assessment and route optimization modeling of smart versus conventional municipal waste collection: Environmental impact analysis in an urban context

This study conducts a life cycle assessment comparing smart and conventional municipal waste collection systems over a 10-year period in a medium-sized urban area, employing the IMPACT 2002+ method and simulation modeling. The smart waste collection system demonstrated significant environmental advantages across key impact categories. Global Warming Potential was reduced by 45.7 % (19,209,995 kg CO₂ eq vs. 35,370,480 kg CO₂ eq) through optimized route planning and reduced fuel consumption. Human health impacts improved substantially, with the smart system showing a net positive effect (-9.7756731 DALY) compared to the conventional system's detrimental impact (23.574054 DALY). Ecosystem quality impacts decreased by 37.3 % (15,662,705 vs. 24,999,196 PDFm²yr), while resource depletion was 46 % lower in the smart system, despite increased mineral extraction for electronic components. The simulation revealed a 52 % reduction in vehicle distance traveled (38,535.36 vs. 80,282.00 km/month). While demonstrating clear environmental benefits, the study identifies challenges in electronic component lifecycle management and mineral resource recovery. Future research should prioritize developing recyclable components, integrating renewable energy sources, and optimizing end-of-life management strategies. These findings provide practical guidance for municipalities transitioning to smart waste collection systems, particularly in medium-sized urban areas. Real-world implementations in cities like Amsterdam and Barcelona have shown similar improvements, with route efficiency gains of 35–40 %, validating the potential of smart waste management technologies in urban sustainability initiatives.

NFT-Based Framework for Digital Twin Management in Aviation Component Lifecycle Tracking

The paper presents a novel framework for implementing decentralized algorithms based on non-fungible tokens (NFTs) for digital twin management in aviation, with a focus on component lifecycle tracking. The proposed approach uses NFTs to create unique, immutable digital representations of physical aviation components capturing real-time records of a component’s entire lifecycle, from manufacture to retirement. This paper outlines detailed workflows for key processes, including part tracking, maintenance records, certification and compliance, supply chain management, flight logs, ownership and leasing, technical documentation, and quality assurance. This paper introduces a class of algorithms designed to manage the complex relationships between physical components, their digital twins, and associated NFTs. A unified model is presented to demonstrate how NFTs are created and updated across various stages of a component’s lifecycle, ensuring data integrity, regulatory compliance, and operational efficiency. This paper also discusses the architecture of the proposed system, exploring the relationships between data sources, digital twins, blockchain, NFTs, and other critical components. It further examines the main challenges of the NFT-based approach and outlines future research directions.

BATERIAS DE CARROS ELÉTRICOS: MANUTENÇÕES E DESCARTES

The rapid growth in the adoption of electric vehicles brings to light challenges related to the maintenance and disposal of batteries, which are essential components for the operation of these vehicles. The central issue addressed is the sustainability of the battery life cycle, considering both the efficiency of their maintenance and the environmental impacts resulting from inadequate disposal. The context involves the transition to a greener economy and the demands for clean technologies, which makes it essential to discuss appropriate practices to extend the useful life of batteries and ensure their safe disposal. The main objective of this study is to analyze the maintenance practices of electric car batteries and disposal strategies, focusing on minimizing environmental impacts and optimizing the life cycle of components. The research seeks to identify effective methods to extend the useful life of batteries, in addition to evaluating existing recycling policies and processes. The methodology used includes a literature review of current battery maintenance and disposal practices, in addition to the analysis of case studies that exemplify different approaches and results in international contexts. The research also incorporates interviews with industry experts, aiming to obtain a comprehensive and updated view of best practices and challenges faced. This work contributes to the discussion on sustainability in the automotive sector and to the formulation of more efficient policies for the management of technological waste.

From Reactive to Proactive Infrastructure Maintenance: Remote Sensing Data and Practical Resilience in the Management of Leaky Pipes

The introduction of remote sensing technologies, AI and big data analytics in the utility sector is warranted by the need to provide critical services with the least disruption to customers, but also to enable preventive maintenance, extend the life cycle of infrastructure components and reduce grid loss—or overall, to exhibit ‘durability’ and ‘resilience’ when faced with the certainty of breakage and decay. In this paper, we first explore the concept of ‘resilience’ and the nature of practice from a performativist perspective in order to set the scene for discussing the impact of ‘datafication’ on maintenance practices and infrastructure durability. We then describe an instance of introducing remote sensing technologies in district heating network surveillance and leak detection: drone-operated thermographic cameras and underground wire sensors. Based on insights from this case study, we discuss the specificity of data-driven infrastructure maintenance practices, and what it means to exhibit practical resilience in relation to how such practices unfold, interrelate and evolve over time. We reflect on how the use of remote sensing technologies and data analytics (1) potentially changes district heating workers’ epistemic worlds (i.e., how knowledge emerges, is negotiated and ordered in practice) and (2) provides opportunities for ‘messy’ pipe repair work to tacitly adopt proactive and preventive logics to meet continuously evolving organizational and societal needs.

Acoustic and vibrations measurments in an autonomous shuttle bus

In response to the ADEME's call for Autonomous Road Vehicle Experimentation projects, a consortium was created to propose the SAM project about Safety and Acceptability of Autonomous Driving and Mobility. It was composed of industrial and research teams, associated with local partners. SAM is a national project involving large-scale trials of autonomous driving and mobility on open roads. The assessments covered several topics, including environmental impacts, focusing on air pollution, noise and the life cycle of components. Cerema proposed a methodology to characterize acoustic and vibration levels for autonomous driving in the specific site near Paris. The tests consisted in instrumenting the interiors of an automated shuttle and a conventional car to determine the user's feelings. The vehicles were driven in a quiet area and in a high traffic area. The results displayed by Cerema are based on statistical studies on 20 vehicle passages for each experiment. The indicators were characterized for the entire route and by homogeneous sections. In fluid navigation situation, the measurements showed that the acoustic and vibration impacts are minimal. However, the tests have highlighted the effects of the lack of anticipation of an automated shuttle during specific events requiring rapid braking.

Blockchain and the lifecycle of components—An approach

AbstractBuildings involve multiple participants and materials that must work together throughout their life cycle, from initial planning to decommissioning and recycling. This can create safety concerns, particularly with regard to critical components. Detailed documentation and tracking of product characteristics are necessary, as well as outlining the related obligations of the parties involved. Currently, this problem is often addressed by numerous contracts and paper‐based building documentation. Blockchain technology could prove to be a future‐oriented solution to such use cases. Additionally, so‐called Smart Contracts, which are custom‐designed applications running on the given Blockchain platform, can be an appropriate way for documentation in the construction and facility management process since they allow distribution of their execution to the entirety of the involved Blockchain participants. Based on this approach, this paper presents a platform solution that provides up‐to‐date product information on various components. The outcome is a system that facilitates digital documentation on a secure legal foundation, with an interface tailored to the specific terms and conditions of each partner involved in the construction and maintenance process.

Empowering the circular economy practices: Lifecycle assessment and machine learning-driven residual value prediction in IoT-enabled microwave oven

In an era of resource scarcity and environmental concerns, integrating Internet of Things (IoT) technology into the circular economy (CE), particularly for household appliances like microwaves, is crucial. The lack of systematic assessment of their post-use residual values often reduces utilization and shortens lifespans. Inadequate disposal and management contribute to electronic waste and environmental pollution. Addressing these challenges is vital for efficient appliance management within resource constraints, ensuring meaningful contributions to sustainable resource management. Thus, this study addresses these concerns by integrating IoT technology into microwave ovens, enabling real-time monitoring of key parameters such as voltage, current, door closures, and motor/blade rotations. Data from integrated sensors enables performance analysis and trend tracking, offering potential for advancing CE practices and sustainable product management. Subsequently, utilizing the insights stored from IoT data analysis and tailored surveys, a predictive maintenance model is developed, aiming to predict the life cycles of microwave oven components and categorize them within the CE principles, including reuse, repair, remanufacturing, and cascade. Finally, to mitigate the challenges of lower effective utilization and shortened operating lifespans observed in household appliances, this research employs machine learning models such as Random Forest, Gradient Boosting, and Decision Tree to accurately predict the residual values of IoT-enabled microwaves. Notably, Random Forest demonstrates superior accuracy compared to the other models. Therefore, these technological advancements allow household appliances to be utilized more effectively, thereby enhancing resource utilization.

Utilization of High-Temperature miniaturized testing to Assist in life management for gas turbine Blades: An Overview

Safely operating gas turbine blades in aero-engines or industrial gas turbines under severe thermo-mechanical conditions always poses a continuous challenge. There is an urgent need for more reliable life prediction tools, necessitating earlier and more rigorous assessments of in-service damage. This paper introduces a systematic examination of high-temperature miniature specimen testing method within a practical life management framework. To improve current practices in assessing the condition of service-aged gas turbine blades, a proactive utilization of miniature specimen testing is recommended for early in-service assessment within the component lifecycle and integrated into a comprehensive life assessment/management framework. The paper outlines a structured approach to life management, combining miniature specimen sampling and creep and fatigue testing methods. This forms the basis for a novel, holistic life assessment methodology, which is proposed in this paper, incorporating the innovative use of high-temperature miniature specimen testing.

Multiplexed single-cell characterization of alternative polyadenylation regulators

Most mammalian genes have multiple polyA sites, representing a substantial source of transcript diversity regulated by the cleavage and polyadenylation (CPA) machinery. To better understand how these proteins govern polyA site choice, we introduce CPA-Perturb-seq, a multiplexed perturbation screen dataset of 42CPA regulators with a 3' scRNA-seq readout that enables transcriptome-wide inference of polyA site usage. We develop a framework to detect perturbation-dependent changes in polyadenylation and characterize modules of co-regulated polyA sites. We find groups of intronic polyA sites regulated by distinct components of the nuclear RNA life cycle, including elongation, splicing, termination, and surveillance. We train and validate a deep neural network (APARENT-Perturb) for tandem polyA site usage, delineating a cis-regulatory code that predicts perturbation response and reveals interactions between regulatory complexes. Our work highlights the potential for multiplexed single-cell perturbation screens to further our understanding of post-transcriptional regulation.

Augmenting materials passports to support disassembly planning based on building information modelling standards

Selective disassembly planning and materials passports are precursor technologies to support the retrieval of reusable building components efficiently. Selective disassembly relies on information about the recovery capacity of the components, while materials passports can be used to keep track of the disassembly information along the component's life cycles. However, the required information for selective disassembly is not represented in materials passports. Therefore, we developed a research approach to augment materials passports by integrating the information related to the components recovery capacity using a BIM-based Semantic Enrichment Engine for Disassembly Planning (SEEDP). First, we investigated the required information for selective disassembly and we proposed a characterization schema for disassembly models. Then, we developed the semantic enriching engine, SEEDP, as a comprehensive solution to automate three crucial steps: data pre-processing, production of materials passports for components, and assessment of disassembly models. Finally, we implemented the approach for two case studies as a functional demonstration.

Estimating and reducing dissipative losses in thermal spray: A parametrized material flow analysis approach

Thermal spray is a family of surface engineering technologies necessary to meet technical functionalities of components under harsh environmental conditions. Those technologies come at the expense of dissipative losses of coating materials throughout the life cycle of components. Measuring these material losses has so far retained little attention in the field. This research provides a framework to estimate material dissipative losses in surface engineering applications based on specific parameters, mainly deposition efficiencies. We applied material flow analysis to quantify dissipative losses for the main metals used in thermal spray (Cr, Co, Mo, Ni, Si, W, Y and Zr). Results show that the coating process is the most contributing life cycle stage (up to 39% of the losses). Improving the deposition efficiency, recovering the unadhered and stripping the components at their end-of-life are key material efficiency strategies to reduce the material losses (up to 50%).

LIFE CYCLE MANAGEMENT MODELS OF COMPONENT EDUCATIONAL RESOURCES OF THE COMPANY

Learning management systems are characterized by the fact that the scenarios of their operation are related to various aspects of educational activity, which in turn requires costs for the creation of professional training programs, electronic educational resources and their exploitation. These problems confirm the relevance of research aimed at developing models of life cycles for electronic educational resources, programs and qualification levels of specialists, as well as at creating effective tools for automated management of the learning process. The purpose of this study is to optimize the life cycles of electronic educational resources, training programs, employer requirements and increase efficiency in managing the continuous process of training specialists. Analytical studies of life cycle models of electronic educational content, learning and educational activity management systems, content management systems were carried out in the work in order to select and develop tools for automated design and filling of educational resources, as well as synthesis of the life cycle management system of its main components. Models of the life cycles of the main components of the educational environment have been developed, which allow for their coordination and optimization for the system of automated management of training processes and professional development. Distinctive features of the models are the comprehensive synchronization of the life cycles of all components with the assessment of the effectiveness of this process, as well as adjustment to the changing requirements of the external environment. A model for synchronizing the life cycles of the components of the educational environment, including electronic educational content and a system for managing learning and professional development processes, has been developed. A feature of the model is a comprehensive assessment of the effectiveness of the synchronization process at all its stages for the automated selection and/or synthesis of personalized training programs and electronic resources in accordance with the changing requirements of standards and employers.

Extending Asset Lifespan Through Data Augmentation-Assisted Quality Control

Quality control is essential for the life cycle of components and has an impact on the costs and maintenance time of the entire production chain. In modern quality control, AI power could be unleashed if enough information for training AI models is always available. In this work, an approach based on data augmentation has been applied to oil plug quality control to mitigate the lack of images of defective parts, which hinders the training of classification models. The proposed approach has demonstrated a positive impact on quality inspection by maintaining or reducing the percentage of classification errors with respect to a baseline trained with images of real oil plugs.

Multi-Method Model for the Investigation of Disassembly Scenarios for Electric Vehicle Batteries

Disassembly is a pivotal technology to enable the circularity of electric vehicle batteries through the application of circular economy strategies to extend the life cycle of battery components through solutions such as remanufacturng, repurposing, and efficient recycling, ultimately reintegrating gained materials into the production of new battery systems. This paper aims to develop a multi-method self-configuring simulation model to investigate disassembly scenarios, taking into account battery design as well as the configuration and layout of the disassembly station. We demonstrate the developed model in a case study using a Mercedes–Benz battery and the automated disassembly station of the DeMoBat project at Fraunhofer IPA. Furthermore, we introduce two disassembly scenarios: component-oriented and accessibility-oriented disassembly. These scenarios are compared using the simulation model to determine several indicators, including the frequency of tool change, the number and distribution of robot routes, tool utilization, and disassembly time.

Seasonality and the persistence of vector-borne pathogens.

Many vector-borne diseases are affected by the seasonality of the environment. Yet, seasonality can act on distinct steps of the life cycle of the pathogen and it is often difficult to predict the influence of the periodic fluctuations of the environment on the basic reproduction ratio R0 of vector-borne pathogens. Here, we analyse a general vector-borne disease model and we account for periodic fluctuations of different components of the pathogen's life cycle. We develop a perturbation analysis framework to obtain useful approximations to evaluate the overall consequences of seasonality on the R0 of the pathogen. This analysis reveals when seasonality is expected to increase or to decrease pathogen persistence. We show that seasonality in vector density or in the biting rate of the vector can have opposite effects on persistence and we provide a useful biological explanation for this result based on the covariance between key compartments of the epidemiological model. This framework could be readily extended to explore the influence of seasonality on other components of the life cycle of vector-borne pathogens.

Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel

Radiology is a major contributor to health care's impact on climate change, in part due to its reliance on energy-intensive equipment as well as its growing technological reliance. Delivering modern patient care requires a robust informatics team to move images from the imaging equipment to the workstations and the health care system. Radiology informatics is the field that manages medical imaging IT. This involves the acquisition, storage, retrieval, and use of imaging information in health care to improve access and quality, which includes PACS, cloud services, and artificial intelligence. However, the electricity consumption of computing and the life cycle of various computer components expands the carbon footprint of health care. The authors provide a general framework to understand the environmental impact of clinical radiology informatics, which includes using the international Greenhouse Gas Protocol to draft a definition of scopes of emissions pertinent to radiology informatics, as well as exploring existing tools to measure and account for these emissions. A novel standard ecolabel for radiology informatics tools, such as the Energy Star label for consumer devices or Leadership in Energy and Environmental Design certification for buildings, should be developed to promote awareness and guide radiologists and radiology informatics leaders in making environmentally conscious decisions for their clinical practice. At this critical climate juncture, the radiology community has a unique and pressing obligation to consider our shared environmental responsibility in innovating clinical technology for patient care.

Integrated Platform-Based Tool to Improve Life Cycle Management and Circularity of Building Envelope Components

The construction industry impacts resource consumption and waste production and thus necessitates solutions that promote sustainable practices. In particular, it must address challenges surrounding data collection and digital management services that often hinder the recycling or reuse of materials. The purpose of this study is to develop an integrated platform-based digital tool that seamlessly incorporates circular economy principles into construction processes, with a particular focus on circular resource utilization in the building envelope components’ life cycle. This tool aims to address the challenges in the construction industry related to resource consumption, waste production, and sustainability by promoting sustainable practices and improving material management. This paper reports industrial joint research to develop an integrated platform-based digital tool that seamlessly incorporates circular economy principles into construction processes, focusing on circular resource utilization in the building envelope components life cycle. By combining different platforms and services from the previous research, this study’s results enhance and integrate comprehensive thinking approaches and services. These include promoting raw material substitution, reducing supply chain arrangement time, minimizing waste throughout the building component lifecycle, enhancing disassembly processes, and improving life cycle environmental assessments. The tool design was informed by user-driven narratives and requirements, and demo case testing procedures, ensuring usability and industry relevance. Furthermore, integration with product lifecycle management software and data management platforms enhanced data sharing and accuracy. This study highlights the potential of integrated tools to revolutionize supply chains and promote circular economy, transforming construction paradigms. They can contribute to the reshaping of material management towards environmental consciousness, fostering resource-efficient green building solutions, and enabling more circularity in the construction industry.

Recordkeeping Requirements for Private Health Facilities and Services: The statutory perspectives

The study aims to investigate the implications of Malaysian legislation on recordkeeping requirements. These implications are derived from selected provisions where contexts are determined based on records lifecycle components. Using document analysis approach, the Private Healthcare Facilities and Services Act 1998 is a case to examine the contexts and applications of recordkeeping requirements in medical and health services in Malaysia. Results showed that the Act has various recordkeeping implications either explicitly or implicitly indicated. As this area is least explored, more efforts must be made to establish recordkeeping requirements specially derived from statutes to improve records management policy and governance.