Life Cycle Information Research Articles

Life cycle management of critical refurbishable parts of ship equipment

To ensure the product life cycle (PLC), foreign and domestic information technologies have been developed that mainly ensure the stages of design and manufacture of products, but they do not allow for automation of the design of technologies for restoration and strengthening of parts. The relevance of restoration of critical parts of ship equipment is due to dependence on foreign supplies of equipment and spare parts (SP), as well as sanctions from unfriendly states, which complicated the acquisition of SP, and the need for import independence arose. The paper shows that life cycle management of a restored part has a significant impact on the efficiency of marine fleet operation, and provides stages and main sub-stages of the life cycle of restored parts of ship equipment. Restoration of parts is considered appropriate if the required durability and savings are ensured compared to manufacturing or purchasing a new part. The concept of life cycle management of restored parts is provided. Life cycle management of restored parts includes planning, control and management of all stages, as well as decision-making to ensure the durability of the part through the use of advanced materials and coating formation technologies. The stage of the life cycle of the restored part, determining the service life of the part, the economic efficiency of its restoration and subsequent operation, is the technological process that ensures the optimal chemical composition, mechanical and structural parameters of the coating. All the properties of the restored part are laid down at the stage of designing the technological process. The prospects of using the life cycle management of the restored part are shown using the example of restoring precision parts of the fuel equipment of marine diesel engines. The use of various technologies for the same type of restored precision parts allows obtaining coatings with different chemical composition, mechanical properties, structure and, accordingly, different values of durability and cost price to ensure the specified service life of the tribological unit at an acceptable price.

The Concept of Building an Integrated Digital Ecosystem to Improve the Quality of Products and Services of Defense Industry Enterprises

Research and development of systems for managing material, technical, and intellectual resources are key directions for improving manufacturing processes in the modern world. In recent years, the question of integrating various management systems has become particularly relevant due to the widespread adoption of quality management systems and their certification to meet current regulatory requirements. This study attempts to merge the advantages of using product lifecycle information support technologies, such as data and information management, with the concept of digital twins, including virtual design, digital product modeling, and real-time analysis. The analysis covers the constituent elements of the generalized product design and manufacturing process, addressing the construction of an integrated digital ecosystem to enhance the quality of products and services in the defense-industrial complex. This ecosystem is based on the integration of technologies for continuous product information support using their digital twins and an integrated quality management system. It is shown that the approach to evaluating the effectiveness of purposeful processes should be complemented by a risk-oriented model, which includes response scenarios to potential adverse effects of the operation of the purposeful organizational-technical system. A structural scheme and formalized description of a generalized product information support model are presented, allowing for the integration of specific quality indicators into a unified strategic outcome. Ultimately, a concept for building an integrated digital ecosystem for defense-industrial enterprises is proposed, aimed at enhancing the overall quality of products and services.

GIATAR: a Spatio-temporal Dataset of Global Invasive and Alien Species and their Traits

Monitoring and managing the global spread of invasive and alien species requires accurate spatiotemporal records of species presence and information about the biological characteristics of species of interest including life cycle information, biotic and abiotic constraints and pathways of spread. The Global Invasive and Alien Traits And Records (GIATAR) dataset provides consolidated dated records of invasive and alien presence at the country-scale combined with a suite of biological information about pests of interest in a standardized, machine-readable format. We provide dated presence records for 46,666 alien taxa in 249 countries constituting 827,300 country-taxon pairs in locations where the taxon’s invasive status is either alien, invasive, or unknown, joined with additional biological information for thousands of taxa. GIATAR is designed to be quickly updateable with future data and easy to integrate into ongoing research on global patterns of alien species movement using scripts provided to query and analyze data. GIATAR provides crucial data needed for researchers and policymakers to compare global invasion trends across a wide range of taxa.

Удосконалення методу оцінки програмного забезпечення контролю параметрів транспортних засобів

The purpose of the conducted research is to improve the method of evaluating the performance of the vehicle parameter control software. It is stated that a new technique for road transport in the field of monitoring its working condition is the creation of information systems for organizational and functional support of rolling stock operation processes with the help of information integration, namely the stages of the life cycle of rolling stock and systems for its technical control and diagnostics. It is shown that nowadays in road transport the basis of life cycle information support can be CALS or IPV/CALS/PLM - technologies (continuous support of the life cycle of vehicles), which are sometimes called product information support systems and are a part of intelligent transport systems. The analysis and clarification of the structure of the intelligent vehicle monitoring system was carried out on the example of the assessment of its environmental safety and its engine parameters. In the work, it is also planned to obtain experimental data from vehicle, the results of processing of which will allow to prove the existence of a real possibility of using the diagnostic complex on a modern automatic transmission system. It should be noted that the system for monitoring environmental safety indicators of vehicle, which is proposed by the authors, also contains in its composition the subsystem of intelligent processing of primary information, which can be used precisely in the role of "intelligent monitoring system". The data obtained and analyzed in the work indicate the need to also improve the efficiency of the neutralization of harmful substances in the engine warm-up mode, which can be implemented by reducing the engine warm-up time and more effective control of the injection/ignition process in transient modes, as well as by introducing an improvement algorithm of the control subsystem composition of the mixture precisely with feedback. The main diagnostic parameters of the vehicle engine during the start-up and warm-up processes, which affect the composition of harmful substances in the exhaust gases, were obtained experimentally. The proposed scheme for monitoring pollution of the roadside environment by traffic flows in the city.

An ecosystem orchestration framework for the design of digital product passports in a circular economy

AbstractDigital product passports are considered key levers for a circular economy. By encouraging intraorganizational and interorganizational exchange of data and information, they enable informed life cycle decision‐making to circulate products and materials at their highest utility. This is contingent on the engagement of supply chain actors to contextualize the industrial implications in the span between regulatory compliance and additional value‐generation. Through the lens of ecosystem orchestration, this multiple case study draws upon industrial insights from three product manufacturers as well as a sample of their respective suppliers, service partners, customers, and third‐party recycling companies to identify 16 practices and five orchestration mechanisms. These unfold at different stages of ecosystem maturity. Combined, they construct a framework for the adaptation of digital product passports in industrial ecosystems. This provides guidance for practitioners throughout the contextualization and utilization of digital product passports and extends the scientific debate in the direction of operationalization. As digital product passports are still in their infancy, avenues for further research are identified, particularly concerning the operational foundations, including the adherent driving and inhibiting factors toward the implementation of digital product passports.

Information management design for higher education

Background of the study: The existence of information management unit is important for the continuity of information life cycle. However, in reality, not all institutions have this unit. This research was conducted to provide an overview of information management at universities that do not yet have a special information management unit. Purpose: This research aims to provide a design information management that can be applied, especially at the UIN Malang or other public universities; especially those that have similar conditions with this university. Method: This study utilized a qualitative method and a case study approach. Through in-depth interviews with parties who understand the flow of the university’s work. In addition, observations were conducted at other institutions with comparable structures to develop a workable information management design for this institution. Findings: An information management design at Universitas Islam Negeri Malang can be implemented with policies and division of work in certain units owned by this university. Conclusion: A workflow, especially for information management, must be implemented with commitment from all units involved, so that the absence of a related unit does not become a barrier to information management.

Leveraging digital footprints data for accurate estimation of the residential housing stock in the United Kingdom, 1997–2022

ABSTRACT This paper explores the use of digital footprints data to improve on the limited information available on the size and distribution of the residential housing stock in the United Kingdom over the past two decades. We use a subset of a large dataset consisting of the names and addresses of more than one billion individuals dating back to 1997 (LCRs: Linked Consumer Registers) to calibrate property lifecycle information within an authoritative geolocated address and property dataset. We validate the results of our novel calibration method against official estimates by the UK government covering the same period. We further show that our calibration method, based on individual level data, captures a much larger share of the residential housing stock since 1997 than would have been possible with other available data sources. We argue that these housing stock estimates are fundamental to the development of a comprehensive digital footprints data infrastructure that has the potential to significantly enhance population, migration, and other social statistics in the UK. More generally, this study highlights the benefits of using digital footprints data in refining, calibrating, and extending existing datasets.

Mapping method for complex mechatronic equipment relationship data to contextual semantic-constrained knowledge graphs

Complex mechatronic equipment’s complete life cycle information model includes multidimensional data on structure, qualities, behavior, and limitations. The data are diverse, derived from multiple sources, and include both streaming and non-streaming cyber-physical data. The product data system’s structured relational model, which is represented by the XBOM (X Bill of Material), is primarily where this data is stored. However, with the growing amount of equipment information, this relatively isolated and redundant architecture poses challenges. Within relational models, the growing intricacy of inner-outer key joins impedes effective data mining and retrieval for dynamic digital twin business applications. In response, this study proposes a knowledge graph transformation method that takes into account the semantic restrictions of the business application context to translate relational data to entities and semantic expressions. The method builds a knowledge context constraint meta-model by classifying data according to context semantics into one-hop entities, multi-hop entities, and abstract classes. Additionally, an ontology-based data extraction transformation method and an ontology-based mapping algorithm based on relational schema transformation are introduced in this article. This strategy significantly minimizes knowledge redundancy and enhances retrieval performance, as demonstrated by experimental verification through the development of a relational data mapping tool software.

Research on the Construction of a Blockchain-Based Industrial Product Full Life Cycle Information Traceability System

The application of blockchain technology in industrial product quality traceability is analyzed to construct a new model of product quality traceability that is mainly based on blockchain technology and supplemented by an identity system. The blockchain-enabled overall technical architecture of an industrial product quality traceability system is explored, and a blockchain-based industrial product full life cycle information traceability system is constructed. First, the weights of the information indicators of different links of the industrial equipment information traceability system were calculated using the EAHP hierarchical analysis method. The manufacturing link had the largest weight, with a value of 18.8%. Second, the system’s functional module design is based on the weights. We designed and developed the industrial product information traceability platform based on the hybrid blockchain chain structure of private chain + alliance chain. Finally, a manufacturing enterprise in the Xinjiang region is taken as the research object, query validation is carried out for the products produced by the enterprise, and the average query time of the system is measured to be 65.376 ms. It can meet the traceability needs of consumers and enterprise users. The research can provide theoretical support and reference for the whole life cycle information traceability of industrial products.

A holistic implementation of the Alliance Transparency Standards: Demystifying research governance and sensitive data processing

Background/IntroductionTo promote transparency for both the public and researchers [1, 2], our objective was to implement all HDRUK Transparency Standards within the Grampian Data Safe Haven (DaSH) [3] website [4]. Particularly, we aimed to clarify sensitive data processing within our Trusted Research Environment (TRE) and improve accessibility of ethics and governance permissions procedures to facilitate public-benefit research. MethodsUtilising Knowledge Translation [5] and Implementation Science [6] methods, we identified relevant audiences to engage with the website to develop and evaluate digital content. A holistic approach to navigation, content creation and visuality was implemented to improve user experience for diverse audiences [7], leveraging plain language strategies [8] for understanding and transparency. ResultsWe addressed Standard 1 by publishing the DaSH Project Initiation Document and clear information on data processing. For Standards 3, 4 and 5, we enhanced user experience through streamlined navigation, dropdowns, signposting, and clear language, ensuring information remains appropriate for diverse audiences. Additionally, we established a quarterly review/update cycle. For Standard 6, we documented our Governance and Security structures alongside ISO27001 certification, a Data Use Register, and an Impact list of DaSH-supported research publications. Our most significant contribution was toward Standard 2, creating detailed permissions pathways guidance documents, including visual aids and permissions application checklists. To our knowledge, we are the first UK TRE to fully document and publish all available permissions pathways [9]. ConclusionsFirst, implementing the six HDRUK Transparency Standards simultaneously enables holistic improvements to openness, maximising the benefits of their complementary recommendations. Second, publishing project lifecycle information clarifies TRE and researcher responsibilities, especially during data extraction, pseudonymisation, and linkage stages [10], fostering trust and confidence in sensitive data use and processing. Third, by documenting ethics and governance pathways available in visual, text, and downloadable formats, we have demonstrably improved ethical and research literacy for both researchers and the public. By clearly articulating an easy-to-follow process for each permissions pathway, this initiative has been identified by our audience as the most impactful improvement in making sensitive data research transparent and accessible. OtherThere were three main lessons learnt. (1) A four-month timescale for website redesign incorporating new content, and multi-audience feedback, could prove overly ambitious without a strong procurement team, dedicated staff, and established audience connections. (2) Content management systems may be a significantly limiting component, impacting both visual appeal and the audiences’ preferred access (e.g. mobile). Implementing certain recommendations (e.g. Data Use Register; Database register), can lead to potentially dense pages and visually cluttered tabular information that are difficult to navigate. (3) Publishing audit findings or information about breaches presents a communication challenge. The potential exists for misinterpretations of legal, technical, or classification terms, which could erode public trust, even with transparency as the aim.

A modular ontology modeling approach to developing digital product passports to promote circular economy in the built environment

The significant impact of the built environment on resource consumption and waste production has led to calls for a shift towards a circular economy model that maximizes the efficient use of resources. This study explores the use of digital product passports (DPPs) to improve how we manage products throughout their lifecycle. However, dealing with the complexity and large volume of data in DPPs can be challenging in terms of effective information management and utilization. We address this issue by adopting a modular ontological approach to systematically capture product lifecycle information from its origin to its end-of-life phase. To ensure interoperability and reusability of the ontology, we annotate key concepts and relationships using International Organization for Standardization (ISO) standards that promote circular economy. Our research led to the development of several ontology modules derived from literature reviews and interviews conducted with industry and academia experts who specialize in sustainability. These modules were then integrated to create a digital product passport ontology. The study demonstrates the feasibility of using a modular ontology approach to manage the complex information inherent in DPPs paving the way for more sustainable management practices in the built environment sector.

The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19).

The coronavirus disease 2019 (COVID-19) public health emergency has had a huge impact worldwide. We analyzed news headlines and keywords from the initial period of COVID-19, and explored the dissemination timeline of news related to the epidemic, and the impact of Internet-based media on the public using lifecycle theory and agenda-setting theory. We aimed to explore the impact of Baidu news headlines on public attention during the first wave of COVID-19, as well as the management mechanism of regulatory departments for social public opinion. We searched Baidu News using the keywords "Novel Coronavirus" and "COVID-19" from 8 January to 21 February 2020, a total of 45 days, and used Python V3.6 to extract news samples during the first wave of the epidemic. We used text analysis software to structurally process captured news topics and content summaries, applied VOSviewer V6.19 and Ucinet V6.0 to examine key aspects of the data. We analyzed the impact of Baidu News headlines on social opinion during the first wave of COVID-19 in the budding, spread, and outbreak stage of the information lifecycle. From clustering visualization and social network analysis perspectives, we explored the characteristics of Baidu News during the initial stage of the COVID-19. The results indicated that agenda-setting coverage through online media helped to mitigate the negative impact of COVID-19. The findings revealed that news reporting generated a high level of public attention toward a specific emergency event. The public requires accurate and objective information on the progress of COVID-19 through Baidu News headlines to inform their planning for the epidemic. Meanwhile, government can enhance the management mechanism of news dissemination, correct false and inaccurate news, and guide public opinion in a positive direction. In addition, timely official announcements on the progress of the COVID-19 outbreak and responses to matters of public concern can help calm tensions and maintain social stability.

Digitalization Of Document Management System In Medical Organizations: Theoretical Aspect

Introduction. Modern medical organizations, multifunctional medical centers, public and private medical institutions actively use digital technologies such as document management systems to optimize internal business processes and increase the efficiency. Proper document management and easy access improve the workflow. Thus, integration and development of advanced digital products allow medical organizations to ensure efficient time management which, in turn, reduces costs and saves time.
 The purpose of the study was to present theoretical aspects of digitalization of document management system in medical organizations as a modern organizational and managerial process that ensures the effectiveness of healthcare development. 
 Materials and methods. Content analysis of scientific literature on the development and implementation of document management systems, transfer of documents to electronic version, introduction of digital technologies upon the specifics of medical organizations was used.
 Results. The study showed that document management systems currently run up document-based information lifecycle management. Their active implementation began in the 2000s, and it is expected that the market volume of document management systems will grow from 6.57 billion US dollars in 2023 to 12.94 billion US dollars by 2028, on average by 14.50% during the forecast period (2023-2028). Significant amounts of health data are collected manually using various internal IT-systems and numerous collections of documents, databases and forms. The introduction of document management systems allows healthcare actors to create electronic patient records, thereby minimizing the risk of documentation loss and increasing security. It is assumed that in the near future all the system will be based on digital solutions aimed at solving routine tasks such as document management, storage and use. These trends provide solutions to the problems that medical organizations may face and ensure effective strategies based on the digitalization of document management systems.

Modeling Climate Change Effects on Genetic Diversity of an Endangered Horse Breed Using Canonical Correlations.

The historical increase in the occurrence of extreme weather events in Spain during the last thirty years makes it a perfect location for the evaluation of climate change. Modeling the effects of climate change on domestic animals' genetic diversity may help to anticipate challenging situations. However, animal populations' short life cycle and patent lack of historical information during extended periods of time drastically compromise the evaluation of climate change effects. Locally adapted breeds' gene pool is the base for their improved resilience and plasticity in response to climate change's extreme climatic conditions. The preservation of these domestic resources offers selection alternatives to breeders who seek such improved adaptability. The Spanish endangered autochthonous Hispano-Arabian horse breed is perfectly adapted to the conditions of the territory where it was created, developed, and widespread worldwide. The possibility to trace genetic diversity in the Hispano-Arabian breed back around seven decades and its global ubiquity make this breed an idoneous reference subject to act as a model for other international populations. Climate change's shaping effects on the genetic diversity of the Hispano-Arabian horse breed's historical population were monitored from 1950 to 2019 and evaluated. Wind speed, gust speed, or barometric pressure have greater repercussions than extreme temperatures on genetic diversity. Extreme climate conditions, rather than average modifications of climate, may push breeders/owners to implement effective strategies in the short to medium term, but the effect will be plausible in the long term due to breed sustainability and enhanced capacity of response to extreme climate events. When extreme climatic conditions occur, breeders opt for mating highly diverse unrelated individuals, avoiding the production of a large number of offspring. People in charge of domestic population conservation act as catalyzers of the regulatory changes occurring during breeds' climate change adaptive process and may identify genes conferring their animals with greater adaptability but still maintaining enhanced performance. This model assists in determining how owners of endangered domestic populations should plan their breeding strategies, seeking the obtention of animals more resilient and adapted to climate-extreme conditions. This efficient alternative is focused on the obtention of increased profitability from this population and in turn ensuring their sustainability.

Digital Product Passport: A Pathway to Circularity and Sustainability in Modern Manufacturing

The primary aim of this study is to explore and understand the potential benefits and applications of the Digital Product Passport (DPP) system within the modern manufacturing industry. To achieve this, we developed a unique methodology, model, and a template for creating a DPP, identifying the key characteristics essential for effective implementation. Our approach involved an analysis of the literature and the formulation of a unified DPP framework, tailored to enhance supply chain transparency and support sustainable manufacturing practices. The empirical findings from our research demonstrate the DPP’s impact on supply chain transparency, providing crucial product lifecycle information that bolsters decision-making and facilitates optimal resource management. Additionally, our study suggests that the DPP model, when applied to sectors such as electronics manufacturing, promises transformative results. This research underpins the pivotal role of DPPs in the future of manufacturing, highlighting their potential to catalyze a shift towards greater transparency and sustainability. Actionable guidelines are provided for manufacturers considering the adoption of this innovative system.

Digital Twin for Predicting Progressive Damage in Operating Pressure Vessels

According to the definition of the French Alliance “Industry of the Future”, the digital twin is a virtual clone of a physical system or a process. It systematically implies the existence of a "digital model" coupled with the object it copies. Depending on the system concerned and the desired usage, it can be a geometric, multiphysical, functional, behavioral, and decision-making model. It must evolve over time like its real twin. It can be used to improve the control, security and optimization of production lines and factories, digital continuity at the product level, from its design to its end of life, monitoring and predictive maintenance.The digital twin appears as a reliable way to monitor operation, to evaluate the resistance and safety of pressure vessels (PVs) in real service conditions. Via the connected transducers (IoT), we can integration the life cycle information in an automatic data processing module, and finally to capitalize on all this data to optimize the design of new products.To this end, the first objective of the thesis is to contribute to the development of a methodology for real-time assessment of the integrity of pressure vessels, by implementing a predictive maintenance strategy in place of the classical and costly, preventive or curative maintenance, based on IoT and digital twin technologies. The second technological goal of the thesis is to develop methods to optimize and make reliable the design and operation of new generations of pressure structures.

Intervention strategies for health rumors: An overview based on the information lifecycle theory

Intervention strategies for health rumors: An overview based on the information lifecycle theory

Integration of life cycle and habitat conditions in modeling fish biomass in the floodplain of the Lower Mekong Basin

Migratory fishes utilize several distinct habitats during their life cycles, and thus the conservation of such species requires proper habitat management in both spatial and seasonal dimensions. However, their life cycle in the freshwater environment has not been well investigated, in particular in the tropical region. Therefore, our study aimed to elucidate the importance of the integration of life cycle and habitat conditions in modeling the biomass of migratory fish species. Focusing on the hydrological years 2000–2015, we collected the biomass of 74 migratory fish species and their seasonal habitat conditions in the floodplain of the Lower Mekong Basin, including Tonle Sap Lake. Then, generalized linear, generalized additive, and random forest models were applied to the collected data with and without life cycle information. As a result, the models and their performance indicate that the integration of the life cycle and seasonal habitat conditions in modeling the biomass is significantly important for migratory fishes. The results further showed that changing ecohydrological indices in the feeding and refuge seasons negatively affected the fish biomass. Those indices were hydrologic factors (the maximum water levels, the mean water levels, the start date of the flood, and the end date of the flood) and climate factors (water temperatures). Interestingly, the models indicated that the total area of inundated forests negatively influences the biomass of planktivorous fishes while it positively affects the biomass of piscivores. These results clearly showed the importance of a natural flow regime to ensure the fish life cycle and biomass production in the Lower Mekong Basin. The presented approach can be applied to model the biomass of migratory fishes in spatially connected and changing environments.

DEXPI process: Standardizing interoperable information for process design and analysis

DEXPI Process is a proposed standard for modelling information about process design, as it is presented on block flow and process flow diagrams. It was developed by the DEXPI+ working group and builds upon the DEXPI (Data Exchange in the Process Industry) standard for piping and instrumentation diagrams. Digitalization is making increasing demands on the exchange of information in the process facility lifecycle. Industry 4.0 methods require shared terminology and knowledge models to exchange information. Standards, such as ISO15926, CFIHOS and DEXPI, try to address this need. All these focus on the physical plant items, as shown on a PID or 3D model. There is a lack of standards for early-phase, top-down process design. DEXPI Process fills this gap. This paper presents the development of DEXPI Process in the context of knowledge modelling of process systems and previews how the model is a foundation for applications of automated reasoning and decision support for design and operations.

Continuing Professional Development for Lis Professionals in University Libraries of Punjab

A study was conducted to assess the competencies, needs, and trends in continuing professional development for Library and Information Science (LIS) professionals in university libraries in Punjab, Pakistan. The study covered both public and private sector universities and included sub-campuses. Data was gathered through convenience sampling using questionnaires distributed through various methods. The findings revealed that LIS professionals were well-versed in certain aspects of their field, such as library advocacy, ethics, and collection management. However, they exhibited a moderate level of familiarity with other areas, including the lifecycle of information, cataloging standards, and organizational principles. The study identified areas where LIS professionals required further training, including communication skills, knowledge of library history, problem-solving techniques, awareness of social and cultural policies, legal frameworks, and various aspects of information lifecycle management. Additionally, the study identified several barriers to continuing professional development, such as a lack of interest, limited resources, a shortage of experts, inadequate infrastructure, time constraints, unsupportive work environments, and a scarcity of training opportunities in the country. In summary, the study highlighted the need for targeted professional development opportunities for LIS professionals in Punjab, Pakistan, while recognizing the challenges they face in accessing such opportunities.