Добірка наукової літератури з теми "Data Obsolescence"

Using data from an obsolescent dialect situation in northern France, this paper questions the view that dedialectalization is a process of level-by-level attrition which leaves a linguistic residue in Regional French (the ‘Structured Obsolescence Hypothesis’). Comparison of dialect index scores for a number of variables reveals significant variation in rates of attrition within levels, with some phonological and morphological variants showing greater vitality than others, but no consistent relationship between levels as the model would predict. An alternative model is proposed, based on the relative learnability of different variants, and it is further argued that rejection of the Structured Obsolescence Hypothesis calls some other assumptions about Regional French into question, notably the view that it can be considered an intermediate variety between dialect and standard, and that it is necessarily ephemeral in nature.

Product obsolescence occurs in the manufacturing industry as new products with better performance or improved cost-effectiveness are developed. A proactive strategy for predicting component obsolescence can reduce manufacturing losses and lead to customer satisfaction. In this study, we propose a machine learning algorithm for a proactive strategy based on an adaptive data selection method to forecast the obsolescence of electronic diodes. Typical machine learning algorithms construct a single model for a dataset. By contrast, the proposed algorithm first determines a mathematical cover of the dataset via unsupervised clustering and subsequently constructs multiple models, each of which is trained with the data in one cover. For each data point in the test dataset, an optimal model is selected for regression. Results of empirical experiments show that the proposed method improves the obsolescence prediction accuracy and accelerates the training procedure. A novelty of this study is that it demonstrates the effectiveness of unsupervised clustering methods for improving supervised regression algorithms.

BackgroundPrimary biodiversity records (PBR) are essential in many areas of scientific research as they document the biodiversity through time and space. However, concerns about PBR quality and fitness-for-use have grown, especially as derived from taxonomical, geographical and sampling effort biases. Nonetheless, the temporal bias stemming from data ageing has received less attention. We examine the effect of changes in land use in the information currentness, and therefore data obsolescence, in biodiversity databases.MethodsWe created maps of land use changes for three periods (1956–1985, 1985–2000 and 2000–2012) at 5-kilometres resolution. For each cell we calculated the percentage of land use change within each period. We then overlaid distribution data about small mammals, and classified each data as ‘non-obsolete or ‘obsolete,’ depending on both the amount of land use changes in the cell, and whether changes occurred at or after the data sampling’s date.ResultsA total of 14,528 records out of the initial 59,677 turned out to be non-obsolete after taking into account the changes in the land uses in Navarra. These obsolete data existed in 115 of the 156 cells analysed. Furthermore, more than one half of the remaining cells holding non-obsolete records had not been visited at least for the last fifteen years.ConclusionLand use changes challenge the actual information obtainable from biodiversity datasets and therefore its potential uses. With the passage of time, one can expect a steady increase in the availability and use of biological records—but not without them becoming older and likely to be obsolete by land uses changes. Therefore, it becomes necessary to assess records’ obsolescence, as it may jeopardize the knowledge and perception of biodiversity patterns.

Obsolescence is a significant challenge for the Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR) community. Obsolescence can negatively affect a C5ISR system’s cost, schedule, performance, and readiness. This article examines the challenge of obsolescence for C5ISR systems by focusing on the U.S. Army at Aberdeen Proving Ground, Maryland, and their industry partners. Data were gathered by conducting interviews with 20 individuals who had experience with C5ISR systems: 10 government Army civilians and 10 industry partner employees. The objective of this study is to synthesize insights from the experiences of government and industry practitioners that mitigate diminishing manufacturing sources and material shortages (DMSMS) challenges. The obsolescence mitigation areas described in this article include proactive and reactive obsolescence mitigation, obsolescence mitigation methods, opportunities for alternative components and planned improvements, the importance of DMSMS contracting language, and obsolescence management practices to avoid. This article also offers approaches grounded in practitioner experiences to mitigate obsolescence through a preliminary proactive obsolescence management model, risk mitigation framework, and metrics. The combination of the obsolescence mitigation approaches discussed in this article has the potential to achieve greater system readiness, more availability, better maintainability, and lower costs for C5ISR systems.

Obsolescence is a challenge for Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR) systems within the Army. These challenges include lower availability of components in the supply chain, schedule delays, and higher costs. Proactive obsolescence management in lieu of reactive obsolescence management is essential to assist with understanding and mitigating obsolescence challenges. This article presents a visualization tool for evaluating the risk of obsolescence to a system’s components. The tool was developed and deployed using the R statistical software program. The visualization tool focuses on the areas of component design life, procurement lead time, cost growth, and the number of manufacturers producing the component. These obsolescence properties are combined in the visualization tool to measure the level of obsolescence risk exposure from the supply availability of the components. The visualization tool was first demonstrated using simulations of 10 systems based on a mix of risk levels with respect to the obsolescence properties. The visualization tool allows a user to input component level data for their system and compare it with two reference systems: the best case when all variables are low risk (i.e., proactive) and the worst case when all variables are high risk (i.e., reactive). The reference systems are included to help practitioners quickly understand their systems level of obsolescence risk from the supply availability of the components. The visualization tool was then validated with publicly available data for a drone and a user study that demonstrated improved accuracy, duration, and confidence in assessing obsolescence risk.

Product obsolescence occurs in every production line in the industry as better-performance or cost-effective products become available. A proactive strategy for obsolescence allows firms to prepare for such events and reduces the manufacturing loss, which eventually leads to positive customer satisfaction. We propose a machine learning-based algorithm to forecast the obsolescence date of electronic diodes, which has a limitation on the amount of data available. The proposed algorithm overcomes these limitations in two ways. First, an unsupervised clustering algorithm is applied to group the data based on their similarity and build independent machine-learning models specialized for each group. Second, a hybrid method including several reliable techniques is constructed to improve the prediction accuracy and overcome the limitation of the lack of data. It is empirically confirmed that the prediction accuracy of the obsolescence date for the electrical component data is improved through the proposed clustering-based hybrid method.

Identifying defective design elements is a prerequisite for design improvements. Previous identification methods were implemented in the context of static customer requirements (CRs). However, CRs always evolve continuously, which easily leads to a failure of existing product functions in fulfilling customer expectations; this, in turn, can lead to a decline in customer satisfaction. In this study, the phenomenon is termed as ‘function obsolescence’, and a data-driven identification approach for obsolete functions is proposed for design improvements. Firstly, product operating data are employed to construct the observing parameters of functional performance (OPs), and based on the distribution of OPs, the desired level of functional performance (DL) is defined to quantitatively characterise CRs. Secondly, the time series of DL is constructed to embody the evolution of CRs, in which a Sigmoid-like function is employed to establish a dissatisfaction function. With the time series, an obsolescence index measuring the severity of obsolescence for each function is defined to identify obsolete functions. A case study was implemented on a smart phone to identify its obsolete functions to demonstrate the effectiveness of the proposed methodology. The results show that some potentially obsolete functions can be identified by the proposed method considering the evolution of CRs.

The prospect of capital obsolescence inhibits investment. Investors thus become more optimistic when the obsolescence of their capital slows down. We propose a model with no fixed costs of investment, and random technological progress that induces obsolescence of capital in place. Spikes occur precisely when technological progress slows down. Moreover, the more variable the progress, the larger are the spikes. Cross-industry data show that where price of capital declines are more variable, investment spikes are larger. (JEL D21, D41, D42, G31, O31, O33)

AbstractPlanned obsolescence can artificially increase sales by stimulating desire or perceived need. This can be done in many ways and some companies are releasing newer models sooner than necessary or engineering the product to fail after a certain amount of use. In recent years, we have observed a change in the pattern of planned obsolescence strategies employed by technological companies, shifting from aesthetic to technological obsolescence. The reaction to this model comes from social enterprises and grassroots movements addressing the circular economy and repairability. This paper illustrates these relationships in context, taking the mobile phone industry as a case study. We focus on product architecture and product features, as a reference point to discuss the embodiment of strategies, and the degree of control the consumer is given for repairing the product. Using netnography as a method to collect data in a digital-mediated environment, this paper highlights how planned obsolescence strategies are embedded in product characteristics and summarises their evolution. It concludes by opposing planned obsolescence strategies to circular economy principles to discuss more sustainable pathways for the smartphone industry.

La croissance incessante des technologies numériques a renforcé les capacité à détecter, visualiser, analyser et gérer de manière autonome l'environnement qui nous entoure. Intelligent et plus connecté est la tendance dominante au sein du métavers émergent, où des environnements connectés sont conçus pour recueillir d'énormes quantités de données. Ces environnements contribuent à une meilleure compréhension des activités humaines, améliorent la qualité de vie et favorisent la durabilité. Cette thèse introduit deux concepts clés - le continuum de zones et l'obsolescence des données - visant à approfondir la sensibilisation aux environnements connectés en expliquant comment les données se déplacent entre les zones et en détectant quand les données deviennent pertinentes dans leur contexte. En abordant ces aspects souvent négligés, nous visons à améliorer l'interprétation et la gestion des données dans les environnements connectés.Cette thèse aborde quatre défis clés : (1) concevoir un modèle de données hautement expressif qui capture efficacement les composants essentiels des environnements connectés, y compris les zones d'accueil, les dispositifs intelligents et leurs réseaux de capteurs associés ; (2) établir un mécanisme pour identifier et tracer comment les données se propagent entre différentes zones ; (3) proposer une approche à grande échelle pour détecter l'obsolescence des données tout en tenant compte de l'ensemble de l'environnement ; et (4) traiter la nature dynamique des environnements connectés, telle que la mobilité des dispositifs, les pannes et les changements dans les configurations de zone (par exemple, fusionner plusieurs zones ou diviser une zone en plusieurs).Pour relever ces défis, nous proposons d'abord le modèle de données HSSN+ pour représenter de manière résiliente les éléments principaux dans les environnements connectés.Ensuite, en nous appuyant sur ce modèle, nous présentons deux cadres étroitement liés. Le premier est le cadre de calcul de continuité de zones pour les environnements connectés, qui formalise la notion de continuité de zones et permet de comprendre comment les données circulent entre les zones. Le second est le cadre de détection de l'obsolescence des données dans les environnements connectés, qui fournit une méthode structurée d'identification et de calcul de l'obsolescence des données sur la base de mesures de qualité prédéfinies.Les deux cadres permettent un contrôle et une compréhension efficaces de tous les environnements connectés
The relentless expansion of digital technologies has enhanced the capabilities of collecting, visualizing, analyzing, and autonomously managing the environment surrounding us.Intelligent and increasingly connected is the prevailing trend within the rising metaverse, where connected environments are driven to gather a plethora of data.These environments contribute to a better understanding of human activities, improve quality of life, and ease paths for sustainability.This thesis introduces two pivotal concepts - zone continuum and data obsolescence - furthering awareness of connected environments by explaining how data crosses between zones and detecting when data becomes irrelevant with respect to its environment.By addressing these overlooked aspects, we aim to improve data interpretation and management within connected environments.This thesis addresses four key challenges: (1) designing a deep and expressive data model that effectively captures the core components of connected environments, such as hosting zones, smart devices, and their corresponding sensor networks; (2) establishing a mechanism to discover and trace how data propagates between different zones; (3) proposing a large-scale approach to detect data obsolescence while considering the entire environment; and (4) handling the dynamic nature of the CE that could be illustrated by the mobility and failure of the devices, as well as modifications in zone configurations (e.g., combining multiple zones into one or dividing a single zone into several).To address these challenges, we first propose the HSSN+ data model, which underpins a resilient representation of the elements in connected environments.Consequently, in light of this model, we put forward two interconnected frameworks. The first one is the Zone Continuum Computation for Connected Environments (ZCCCE) framework that formalizes the zone continuum concept and enables to understand how data moves between zones. The second one is the Data Obsolescence Detection in Connected Environments (DODCE) framework which offers a structured approach to identify and compute the data obsolescence based on predefined quality indicators.These two frameworks provide opportunities for effective control and understanding in connected environments

Ce travail s’inscrit dans le cadre d’étude de la sûreté de fonctionnement.

La sûreté de fonctionnement est progressivement devenue partie intégrante de l’évaluation des performances des systèmes industriels. En effet, les pannes d’équipements, les pertes de production consécutives, et la maintenance des installations ont un impact économique majeur dans les entreprises. Il est donc essentiel pour un manager de pouvoir estimer de manière cohérente et réaliste les coûts de fonctionnement de l’entreprise, en tenant notamment compte des caractéristiques fiabilistes des équipements utilisés, ainsi que des coûts induits entre autres par le non-fonctionnement du système et la restauration des performances de ses composants après défaillance.

Le travail que nous avons réalisé dans le cadre de ce doctorat se concentre sur un aspect particulier de la sûreté de fonctionnement, à savoir les politiques de remplacement d’équipements basées sur la fiabilité des systèmes qu’ils constituent. La recherche menée part de l’observation suivante :si la littérature consacrée aux politiques de remplacement est abondante, elle repose généralement sur l’hypothèse implicite que les nouveaux équipements envisagés présentent les mêmes caractéristiques et performances que celles que possédaient initialement les composants objets du remplacement.

La réalité technologique est souvent bien différente de cette approche, quelle que soit la discipline industrielle envisagée. En effet, de nouveaux équipements sont régulièrement disponibles sur le marché ;ils assurent les mêmes fonctions que des composants plus anciens utilisés par une entreprise, mais présentent de meilleures performances, par exemple en termes de taux de défaillance, consommation d’énergie, " intelligence " (aptitude à transmettre des informations sur leur état de détérioration).

De plus, il peut devenir de plus en plus difficile de se procurer des composants de l’ancienne génération pour remplacer ceux qui ont été déclassés. Cette situation est généralement appelée obsolescence technologique.

Le but de ce travail est de prolonger et d’approfondir, dans le cadre de la sûreté de fonctionnement, les réflexions engagées par les différents articles présentés dans la section état de l’art afin de définir et de modéliser des stratégies de remplacements d’équipements soumis à obsolescence technologique. Il s’agira de proposer un modèle, faisant le lien entre les approches plus économiques et celles plus fiabilistes, permettant de définir et d’évaluer l’efficacité, au sens large, des différentes stratégies de remplacement des unités obsolètes. L’efficacité d’une stratégie peut se mesurer par rapport à plusieurs critères parfois contradictoires. Parmi ceux-ci citons, évidemment, le coût total moyen engendré par la stratégie de remplacement, seul critère considéré dans les articles cités au chapitre 2, mais aussi la façon dont ces coûts sont répartis au cours du temps tout au long de la stratégie, la variabilité de ces coûts autour de leur moyenne, le fait de remplir certaines conditions comme par exemple d’avoir remplacé toutes les unités d’une génération par des unités d’une autre génération avant une date donnée ou de respecter certaines contraintes sur les temps de remplacement.

Pour arriver à évaluer les différentes stratégies, la première étape sera de définir un modèle réaliste des performances des unités considérées, et en particulier de leur loi de probabilité de défaillance. Etant donné le lien direct entre la probabilité de défaillance d’un équipement et la politique de maintenance qui lui est appliquée, notamment la fréquence des maintenances préventives, leur effet, l’effet des réparations après défaillance ou les critères de remplacement de l’équipement, un modèle complet devra considérer la description mathématique des effets des interventions effectuées sur les équipements. On verra que la volonté de décrire correctement les effets des interventions nous a amené à proposer une extension des modèles d’âge effectif habituellement utilisés dans la littérature.

Une fois le modèle interne des unités défini, nous développerons le modèle de remplacement des équipements obsolètes proprement dit.

Nous appuyant sur la notion de stratégie K proposée dans de précédents travaux, nous verrons comment adapter cette stratégie K à un modèle pour lequel les temps d’intervention ne sont pas négligeables et le nombre d’équipes limité. Nous verrons aussi comment tenir compte dans le cadre de cette stratégie K d’une part des contraintes de gestion d’un budget demandant en général de répartir les coûts au cours du temps et d’autre part de la volonté de passer d’une génération d’unités à l’autre en un temps limité, ces deux conditions pouvant être contradictoires.

Un autre problème auquel on est confronté quand on parle de l’obsolescence technologique est le modèle d’obsolescence à adopter. La manière dont on va gérer le risque d’obsolescence dépendra fortement de la manière dont on pense que les technologies vont évoluer et en particulier du rythme de cette évolution. Selon que l’on considère que le temps probable d’apparition d’une nouvelle génération est inférieur au temps de vie des composants ou supérieur à son temps de vie les solutions envisagées vont être différentes. Lors de deux applications numériques spécifiques.

Nous verrons au chapitre 12 comment envisager le problème lorsque l’intervalle de temps entre les différentes générations successives est largement inférieur à la durée de vie des équipements et au chapitre 13 comment traiter le problème lorsque le délai entre deux générations est de l’ordre de grandeur de la durée de vie des équipements considérés.

Le texte est structuré de la manière suivante :Après une première partie permettant de situer le contexte dans lequel s’inscrit ce travail, la deuxième partie décrit le modèle interne des unités tel que nous l’avons utilisé dans les différentes applications. La troisième partie reprend la description des stratégies de remplacement et des différentes applications traitées. La dernière partie permet de conclure par quelques commentaires sur les résultats obtenus et de discuter des perspectives de recherche dans le domaine.

Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished

This study endeavors to investigate the negative environmental impacts of the prevailing ICT design approaches and to explore some potential remedies for ICT design unsustainability from environmental and corporate sustainability perspectives. More specifically, it aims to spotlight key environmental issues related to ICT design, including resource depletion; GHG emissions resulting from energy-intensive consumption; toxic waste disposal; and hazardous chemicals use; and also to shed light on how alternative design solutions can be devised based on environmental sustainability principles to achieve the goals of sustainable technologies. The study highlights the relationship between ICT design and sustainability and how they can symbiotically affect one another. To achieve the aim of this study, an examination was performed through an extensive literature review covering empirical, theoretical, and critical scholarship. The study draws on a variety of sources to survey the negative environmental impacts of the current mainstream ICT design approach and review the potential remedies for unsustainability of ICT design. For theory, central themes were selected for review given the synergy and integration between them as to the topic under investigation. They include: design issues; design science; design research framework for ICT; sustainability; corporate sustainability; and design and sustainability. Findings highlight the unsustainability of the current mainstream ICT design approach. Key environmental issues for consideration include: resource depletion through extracting huge amounts of material and scarce elements; energy-intensive consumption and GHG emissions, especially from ICT use phase; toxic waste disposal; and hazardous substances use. Potential remedies for ICT design unsustainability include dematerialization as an effective strategy to minimize resources depletion, de-carbonization to cut energy consumption through using efficient energy required over life cycle and renewable energy; recyclability through design with life cycle thinking (LCT) and extending ICT equipment’s operational life through reuse; mitigating hazardous chemicals through green design - low or non-noxious/less hazardous products. As to solving data center dilemma, design solutions vary from hardware and software to technological improvements and adjustments. Furthermore, corporate sustainability can be a strategic model for ICT sector to respond to environmental issues, including those associated with unsustainable ICT design. In the same vein, through adopting corporate sustainability, ICT-enabled organizations can rationalize energy usage to reduce GHG emissions, and thereby alleviating global warming. This study provides a novel approach to sustainable ICT design, highlighting unsustainability of its current mainstream practices. Review of the literature makes an advance on extant reviews of the literature by highlighting the symbiotic relationship between ICT design and environmental sustainability from both research and practice perspectives. This study adds to the body of knowledge and previous endeavours in research of ICT and sustainability. Overall, it endeavours to present contributions and avenues for further theoretical and empirical research and development.
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La tesi si occupa del problema della conservazione dei dati digitali, spesso sottovalutato. Le odierne tecniche e strategie di conservazione e archiviazione non possono garantire da sole la sicurezza dei dati nel tempo, ma solo se vengono utilizzate sinergicamente. Durante questo percorso capiremo cosa siano i dati digitali, le loro caratteristiche e problematiche inerenti la loro gestione, nonché le tecniche di conservazione e storage. Vedremo come si sono evolute le memorie di massa, dalle schede perforate fino alla nascita dei dischi a stato solido. Inoltre, verranno introdotti il Cloud Computing e il ventaglio di servizi che offre, compreso il Cloud Storage. Infine, si mostreranno gli algoritmi principali di compressione, utili nella gestione dei dati.

Loin d’être des produits immatériels, les technologies de l’information et de la communication (TIC) ont un réel impact environnemental tout au long de leur cycle de vie. L’Éco-TIC est le point de rencontre entre le développement durable et les TIC. Le droit de l'Éco-TIC est l’ensemble des règles de droit régissant les rapports entre les technologies de l’information et le domaine environnemental. Ce mémoire a pour objectif d’examiner les normes juridiques, notamment en Europe et en Amérique du Nord, qui permettent de limiter l’impact environnemental des technologies de l’information lors des trois phases du cycle de vie des TIC. Tout d’abord, nous nous penchons sur l’étape de la conception des TIC. À cette étape, les réglementations en matière d’écoconception, l’utilisation des terres rares et l’interdiction de l’obsolescence programmée sont particulièrement pertinentes. Ensuite, nous examinons comment les entreprises tentent de réduire la consommation énergétique des TIC lors de la phase d’utilisation, notamment par le biais de la responsabilité sociétale de l’entreprise (RSE). Nous verrons également que les centres de données se multiplient afin de répondre à une demande toujours plus forte. Enfin, nous traitons de la fin de vie des TIC, phase pour laquelle l’Union européenne a créé des directives en matière de réutilisation, réduction et recyclage qui influent sur le plan international.
Information and communication technologies (ICT) are far from being intangible goods and do have an environmental impact during their entire life cycle. Green IT stands at the crossroads of sustainable development and ICT. Green IT law consists of a set of rules governing the relations between information technologies and environment. The purpose of this thesis is to investigate the European and North American legal standards regulating the environment impacts of ICT throughout the three phases of their life cycle. In the first part, the design phase of ICT is examined. At this stage, existing regulations on eco-design, the use of rare earth elements, and the interdiction of planned obsolescence are of particular relevance. The thesis then studies how companies are trying to reduce the use-phase energy consumption of ICT, notably through the Corporate Social Responsability. The issue of the multiplication of data centres, due to an ever-growing demand, is also discussed. In the end, the thesis considers the end-of-life phase of ICT and the directives created by the European Union that affect recycling and waste reduction management at an international level.

A Revolução Industrial - processo de transição de produção artesanal para produção em máquinas - foi um período de grandes mudanças e desenvolvimento global que desencadeou uma série de novas rotinas, pensamentos e necessidades, nomeadamente espaciais capazes de albergar todo o produto desta revolução. Muitos foram os edifícios construídos em massa para uma resposta rápida e adequada, que acompanhasse o desenvolvimento e crescimento da produção, nesta altura. Estes edifícios, uns com mais importância do que outros, além de marcarem uma época, marcaram gerações e culturas, famílias e comunidades, por serem espaços que definiam as suas rotinas, vivências, identidade e evolução. A partir da década de setenta, após o auge de funcionamento destas estruturas, o rápido desenvolvimento tecnológico e industrial levou à transferência das instalações das indústrias para estruturas com maior abrangência espacial tendo como consequência o encerramento das instalações fabris da época anterior. Estas estruturas encerradas das suas funções, caem no desprezo e abandono e geram cenários de risco atraentes a diversas problemáticas sociais e ambientais, resultando na desvalorização gradual do território. A reabilitação e refuncionalização surge nestas estruturas como ações regenerativas do próprio edifício e de todos os seus arredores possibilitando a reconversão dos cenários de risco através de novas dinâmicas que revitalizem os espaços. Deste modo, o presente trabalho apresenta uma abordagem a uma problemática da atual realidade de abandono deste tipo de estruturas, numa tentativa de evidenciar as potencialidades que estes edifícios comportam, fundamentando estas evidências na análise de três casos práticos – o Lx Work Hub (Lisboa), A Guesthouse OPO’attics (Porto), a Casa da Arquitetura (Matosinhos). Toda a investigação pretende complementar noções da prática projetual neste tipo de estruturas aplicadas também na vertente prática deste trabalho e realçar a importância que a reabilitação destes espaços tem na comunidade e na cidade.
The Industrial Revolution - a process of transition from artisanal production to machine production - was a period of great change and global development that unleashed a series of new routines, thoughts and needs, notably space capable of accommodating the whole product of this revolution. Many were mass-built buildings for a quick and adequate response that accompanied the development and growth of production at this time. These buildings, some more connotated than others, besides marking an era, marked generations and cultures, families and communities, being spaces that defined their routines, experiences, identity and evolution. Since the 1970s, after the boom in the operation of these structures, the rapid technological and industrial development led to the transfer of the facilities of the industries to structures with more space coverage, resulting in the closure of the factory facilities of the previous era. These closed structures’ functions fall into contempt and abandonment and generate risky scenarios that are the catalyst to various social and environmental problems resulting in the gradual devaluation of the territory. Rehabilitation and refunctionalization emerges in these structures as regenerative actions of the building itself and of all its surroundings, allowing the reconversion of risk scenarios through new dynamics that revitalize spaces. In this way, the present work presents an approach to a problematic of the current reality of abandonment of this type of structures in an attempt to highlight the potentialities of these buildings, basing these evidences in the analysis of three practical cases studies - Lx Work Hub (Lisbon), Guesthouse OPO'attics (Porto), Casa da Arquitectura (Matosinhos). All the research intends to complement notions of the design practice in this type of structures, applied also in the practical aspect of this work, and to emphasize the importance that the rehabilitation of these spaces has in the community and in the city.

Competitive and high-risk environments require complex high technology systems, which need to be supported and maintained over their respective life cycles. These systems often have a significant consequence of failure, and require complex management systems to achieve their operational objectives. Significant leadership and management challenges exist, not only in South Africa, but also in other developing countries, where systems may be utilised beyond the lifespan they were designed for and are susceptible to obsolescence. This study was conducted by following a structured process; the research consisted of three stages. The first stage dealt with the research problem, including the delimitations of the study. The second stage was further divided into three phases. The first phase deconstructed the appropriate literature, which included the interpretation of numerous definitions of logistics, integrated logistics support, and the integrated logistics support elements. In addition, the research was grounded in the fields of operations management, supply chain management and integrated logistics support. The second phase focused on the deconstruction of six case studies from four different high technology complex systems. From the analysis of the first two phases followed the third phase of research, which focused on the identification of areas requiring further research. Further research was conducted by means of a questionnaire, the results of which were analysed for variable dependency and variable association. The third stage of the research included the collation and analysis of the findings of the first two stages of research. The analysis utilised the principles of Mode 2 research and design science research, whereby an ILS framework and associated grounded technological rules have been recommended. These recommendations are robust in nature, as they can be applied in the most challenging environment and circumstances as identified. Furthermore, by grounding the theory in the disciplines of operations management, supply chain management and integrated logistics support, the reliability, validity, relevance, and applicability of the study could be substantiated. This implied that the generated theoretical knowledge could be transferred to and applied in practice, and as such, an organisation can reap substantial value added benefits, and gain considerable competitive advantage in the market place by applying this developed ILS framework and associated ILS grounded technological rules.
Business Leadership
D. BL.

Chapter 9 (‘A Bank Branch in a Box’) tackles the long-running debate on the impact of automation within the retail bank branch. This debate concerns whether the introduction of labour saving devices (such as the ATM) will almost immediately be followed by the reduction of retail branch bank staff. Data in the quantitative analysis include information on ATMs, employment of bank staff, and retail branches. However, the analysis here departs from traditional approaches. The latter have focused on the economics of capital replacing labour. In contrast, this chapter looks at the alternative channels (namely transaction volume and the value of cash withdrawals) as the variables to explain technological change in retail banking. The discussion also speculates on the future of the ATM within retail banks’ self-service strategies. This while focusing not on obsolescence but on a narrative of maintenance and reinvention.

This chapter explores the diverse fates and futures of refugee camps. What happened to the camps after the refugees left? What remains of these camps today? This chapter charts the chaotic and incomplete process of camp closures. It considers how these camps have been remembered (or forgotten), and reflects on the multiple—and massive—uses of encampment today. Although refugee camps in Britain were supposed to plan their own obsolescence, they were never as fully out of date as their creators might have hoped. For some, encampment never came to an end at all. The realignments of politics, feeling, and place that Britain’s camps prompted are ongoing, and continue to shape the politics of encampment in our contemporary world. This chapter explores the transformation of the refugee camp into one of the most characteristic institutions of aid and confinement in contemporary Britain: the immigration detention center.

Economy and mankind are inextricably interlinked. Just as the economy or the production of material wealth is unimaginable without a man, so human existence and development are impossible without the wealth created in the economy. Shortly, both the goal and the means of achieving and realization of the economy are still the human resources. People have long ago noticed that it was the economy that created livelihoods, and the delays in their production led to the catastrophic events such as hunger, poverty, civil wars, social upheavals, revolutions, moral degeneration, and more. Therefore, the special interest of people in understanding the regulatory framework of the functioning of the economy has existed and exists in all historical epochs [A. Sisvadze. Economic theory. Part One. 2006y. p. 22]. The system of economic disciplines studies economy or economic activities of a society. All of them are based on science, which is currently called economic theory in the post-socialist space (the science of economics, the principles of economics or modern economics), and in most countries of the world - predominantly in the Greek-Latin manner - economics. The title of the present book is also Modern Economics. Economics (economic theory) is the science that studies the efficient use of limited resources to produce and distribute goods and services in order to satisfy as much as possible the unlimited needs and demands of the society. More simply, economics is the science of choice and how society manages its limited resources. Moreover, it should be emphasized that economics (economic theory) studies only the distribution, exchange and consumption of the economic wealth (food, beverages, clothing, housing, machine tools, computers, services, etc.), the production of which is possible and limited. And the wealth that exists indefinitely: no economic relations are formed in the production and distribution of solar energy, air, and the like. This current book is the second complete updated edition of the challenges of the modern global economy in the context of the coronary crisis, taking into account some of the priority directions of the country's development. Its purpose is to help students and interested readers gain a thorough knowledge of economics and show them how this knowledge can be applied pragmatically (professionally) in professional activities or in everyday life. To achieve this goal, this textbook, which consists of two parts and tests, discusses in simple and clear language issues such as: the essence of economics as a science, reasons for origin, purpose, tasks, usefulness and functions; Basic principles, problems and peculiarities of economics in different economic systems; Needs and demand, the essence of economic resources, types and limitations; Interaction, mobility, interchangeability and efficient use of economic resources. The essence and types of wealth; The essence, types and models of the economic system; The interaction of households and firms in the market of resources and products; Market mechanism and its elements - demand, supply and price; Demand and supply elasticity; Production costs and the ways to reduce them; Forms of the market - perfect and incomplete competition markets and their peculiarities; Markets for Production Factors and factor incomes; The essence of macroeconomics, causes and importance of origin; The essence and calculation of key macroeconomic indicators (gross national product, gross domestic product, net national product, national income, etc.); Macroeconomic stability and instability, unemployment, inflation and anti-inflationary policies; State regulation of the economy and economic policy; Monetary and fiscal policy; Income and standard of living; Economic Growth; The Corona Pandemic as a Defect and Effect of Globalization; National Economic Problems and New Opportunities for Development in the conditions of the Coronary Crisis; The Socio-economic problems of moral obsolescence in digital technologies; Education and creativity are the main solution way to overcome the economic crisis caused by the coronavirus; Positive and negative effects of tourism in Georgia; Formation of the middle class as a contributing factor to the development of tourism in Georgia; Corporate culture in Georgian travel companies, etc. The axiomatic truth is that economics is the union of people in constant interaction. Given that the behavior of the economy reflects the behavior of the people who make up the economy, after clarifying the essence of the economy, we move on to the analysis of the four principles of individual decision-making. Furtermore, the book describes how people make independent decisions. The key to making an individual decision is that people have to choose from alternative options, that the value of any action is measured by the value of what must be given or what must be given up to get something, that the rational, smart people make decisions based on the comparison of the marginal costs and marginal returns (benefits), and that people behave accordingly to stimuli. Afterwards, the need for human interaction is then analyzed and substantiated. If a person is isolated, he will have to take care of his own food, clothes, shoes, his own house and so on. In the case of such a closed economy and universalization of labor, firstly, its productivity will be low and, secondly, it will be able to consume only what it produces. It is clear that human productivity will be higher and more profitable as a result of labor specialization and the opportunity to trade with others. Indeed, trade allows each person to specialize, to engage in the activities that are most successful, be it agriculture, sewing or construction, and to buy more diverse goods and services from others at a relatively lower price. The key to such human interactions is that trade is mutually beneficial; That markets are usually the good means of coordination between people and that the government can improve the results of market functioning if the market reveals weakness or the results of market functioning are not fair. Moroever, it also shows how the economy works as a whole. In particular, it is argued that productivity is a key determinant of living standards, that an increase in the money supply is a major source of inflation, and that one of the main impediments to avoiding inflation is the existence of an alternative between inflation and unemployment in the short term, that the inflation decrease causes the temporary decline in unemployement and vice versa. The Understanding creatively of all above mentioned issues, we think, will help the reader to develop market economy-appropriate thinking and rational economic-commercial-financial behaviors, to be more competitive in the domestic and international labor markets, and thus to ensure both their own prosperity and the functioning of the country's economy. How he/she copes with the tasks, it is up to the individual reader to decide. At the same time, we will receive all the smart useful advices with a sense of gratitude and will take it into account in the further work. We also would like to thank the editor and reviewers of the books. Finally, there are many things changing, so it is very important to realize that the XXI century has come: 1. The century of the new economy; 2. Age of Knowledge; 3. Age of Information and economic activities are changing in term of innovations. 1. Why is the 21st century the century of the new economy? Because for this period the economic resources, especially non-productive, non-recoverable ones (oil, natural gas, coal, etc.) are becoming increasingly limited. According to the World Energy Council, there are currently 43 years of gas and oil reserves left in the world (see “New Commersant 2007 # 2, p. 16). Under such conditions, sustainable growth of real gross domestic product (GDP) and maximum satisfaction of uncertain needs should be achieved not through the use of more land, labor and capital (extensification), but through more efficient use of available resources (intensification) or innovative economy. And economics, as it was said, is the science of finding the ways about the more effective usage of the limited resources. At the same time, with the sustainable growth and development of the economy, the present needs must be met in a way that does not deprive future generations of the opportunity to meet their needs; 2. Why is the 21st century the age of knowledge? Because in a modern economy, it is not land (natural resources), labor and capital that is crucial, but knowledge. Modern production, its factors and products are not time-consuming and capital-intensive, but science-intensive, knowledge-intensive. The good example of this is a Japanese enterprise (firm) where the production process is going on but people are almost invisible, also, the result of such production (Japanese product) is a miniature or a sample of how to get the maximum result at the lowest cost; 3. Why is the 21st century the age of information? Because the efficient functioning of the modern economy, the effective organization of the material and personal factors of production largely depend on the right governance decision. The right governance decision requires prompt and accurate information. Gone are the days when the main means of transport was a sailing ship, the main form of data processing was pencil and paper, and the main means of transmitting information was sending letters through a postman on horseback. By the modern transport infrastructure (highways, railways, ships, regular domestic and international flights, oil and gas pipelines, etc.), the movement of goods, services and labor resoucres has been significantly accelerated, while through the modern means of communication (mobile phone, internet, other) the information is spreading rapidly globally, which seems to have "shrunk" the world and made it a single large country. The Authors of the book: Ushangi Samadashvili, Doctor of Economic Sciences, Associate Professor of Ivane Javakhishvili Tbilisi State University - Introduction, Chapters - 1, 2, 3, 4, 5, 6, 9, 10, 11,12, 15,16, 17.1,18 , Tests, Revaz Shengelia, Doctor of Economics, Professor of Georgian Technical University, Chapters_7, 8, 13. 14, 17.2, 17.4; Zhuzhuna Tsiklauri - Doctor of Economics, Professor of Georgian Technical University - Chapters 13.6, 13.7,17.2, 17.3, 18. We also thank the editor and reviewers of the book.

AbstractThe time is ripe for more case-by-case analyses of “big data”, “machine learning” and “algorithmic management”. A significant portion of current discussion on these topics occurs under the rubric of Automation (or, artificial intelligence) and in terms of broad political, social and economic factors said to be at work. We instead focus on identifying sociotechnical concerns arising out of software development in the topic areas. In so doing, we identify trade-offs and at least one longer-term system safety concern not typically included alongside notable political, social and economic considerations. This is the system safety concern of obsolescence. We end with a speculation on how skills in making these trade-offs might be noteworthy when system safety has been breached in emergencies.

AbstractOur tax system clings to a traditional economy linked to pre-digital criteria such as territoriality. It tries to update itself by introducing elements that attempt to deal with the new issues without resolving them head-on. The lack of tax regulation produces a sudden injustice barely resolved by soft law derived from binding administrative resolutions, such as the responses offered by the General Directorate of Taxes.MiCA demonstrates the tax system’s obsolescence in a broad and community sense. The lack of provisions for classifying new economic goods for tax purposes fragments their treatment, leads to tax conflicts, and creates legal uncertainty.This legal uncertainty contrasts with the enormous deployment of mechanisms to control compliance with tax obligations. These include the effective automatic exchange of tax information, joint inspection procedures, and the, at times, unscrupulous application of artificial intelligence to all types of available data, personal and non-personal, without time limitation.We understand that the rules applicable to the taxation of crypto assets must constantly be updated, and this is our purpose in an economy undergoing absolute digitalisation.

The introductory chapter comprises several sub-sections outlining the theoretical and methodological background of the study. After a brief description of the history of the Jewish community of Gabes, an overview of its Arabic dialect is provided. Building on various phonological and morphological isoglosses, the argument is presented that this dialect is a sedentary variety that originated in the first wave of Arabisation of the Maghreb in the seventh century CE. Currently, due to the process of language obsolescence, this dialect is on the brink of extinction. The subsequent section addresses existing scholarship on North African Arabic and its challenges, with a particular emphasis on the scarcity of data from provincial cities and the lack of syntactic studies in the field of spoken Judaeo-Arabic. Following this, the next section seeks to explore the linguistic landscape in pre-Islamic North Africa. Given that Jewish Gabes belongs to the group of first-wave dialects, it is reasonable to search in it for traces of languages spoken in the region before the seventh century CE. The final section elucidates the methodology and transcription system used in the study.

In this chapter, I show how the investigation of racialization in datafied applications can be done through an instrumental, epistemological, and ontological approach to datafication and that the results of each approach do not necessarily match. By analyzing the attempted implementation of a tool aimed at measuring the composition of personnel in terms of migration background called Barometer Culturele Diversiteit (BCD) at Utrecht University in the Netherlands, I show how the tool is using ideas about race (instrumental), shaping knowledge through colonial politics (epistemological), and producing race (ontological) simultaneously. Aided by this analysis, I will advocate for an understanding of the use of raceethnic data for affirmative purposes in terms of strategic essentialism, making epistemic imperfection regarding race warranted only in antiracist data systems working toward their own obsolescence.

Diminishing Manufacturing Sources and Material Shortages (DMSMS), also referred to as obsolescence, is a sector of product sustainment that is receiving more attention as certain technologies continue to have longer and longer system life cycles. Much of the research today points towards a need for better electrical component end-of-life (EOL) predictors. A small-scale case study was performed to explore the use of machine learning for obsolescence forecasting of flash memory chips. The Random Forest classification algorithm was able to predict the Active vs. Obsolete status in both the training data and the test data with an OOB error rate of 10.87%. The Random Forest regression algorithm was able to predict an obsolescence date of an obsolete component on average 0.75 years after the actual discontinuation of the component and 1.08 years for active components. The regression analysis had an overall error rate of 0.53%. This study demonstrates opportunities and challenges for using machine learning as a future DMSMS forecasting tool.

In designing a system, multi-dimensional obsolescence design criteria such as Scheduling; Reliability, Availability, Maintainability; Performance and Functionality; and Costs affect its overall lifespan. This work examines the impacts of these factors on systems during the design phase using a new application called the Simple Additive Bayesian Allocation Network Process (SABANP). The application uses a combination of Multi-Criteria Decision Making (MCDM) methodology and a Bayesian Belief Network to address the impact of obsolescence on a system. Unlike the requirement of weights that are prevalent in the analysis of MCDM, this application does not require weights. Moreover, this application accounts for functional dependencies of criteria, which is not possible with the MCDM methodologies. A case study was conducted using military and civilian experts. Data were collected on systems’ obsolescence criteria and analyzed using the application to make trade-off decisions. The results show that the application can address complex obsolescence decisions that are both quantitative and qualitative. Expert validation showed that SABANP successfully identified the best system for mitigating obsolescence.

Growing and maintaining a simple and flexible EMR (Electronic Medical Record) becomes a complicated task in light of diverse and distributed legacy data representation, advancing technologies, changes in medical practice and procedure, and changes in data regulation. Utilizing several abstraction mechanisms can simplify application development and maintenance, and provide flexibility for data evolution and migration. Newer applications built on these abstractions can be the beneficiary of slower obsolescence and lower maintenance costs.

Cost analysis is essential to enterprises developing plans to deal with product obsolescence. Indeed, cost analysis drives the optimization behind obsolescence mitigation planning and the maintenance of long field life sustainment-dominated systems. There are many different obsolescence mitigation solutions. Determining the optimum plan requires inputs from multiple departments within the enterprise such as maintenance, manufacturing, inventory, marketing, purchasing, etc. Moreover, proper analysis requires system records over a long period. As one might expect, these needs present challenges since proper data comes from different sources across multiple departments. In recent years, ontological models have been shown to be good at relation representation and knowledge management. Ontologies have been used to help with data integration and decision-making. This paper puts forward an ontology-based model and data inquiry method to help locate appropriate departments and related heterogeneous data for current and legacy data sources. The ontology-enabled data inquiry can then more accurately and efficiently improve cost analysis and the planning and management of obsolescence mitigation activities.

Diminishing Manufacturing Sources and Material Shortages (DMSMS) obsolescence of components and subsystems is a risk driver for long field -life defense systems such as aircraft, ships and avionics. Over their life in service, a substantial number of components required to produce and support such systems will become no longer available from the Original Component Manufacturers. There are different approaches to manage DMSMS obsolescence, some of which lead to the purchase of replacement parts from unreliable sources, hence, providing an opportunity for the infiltration of counterfeit parts. Counterfeits can contaminate the part supply source, further magnifying the obsolescence problem. Validating and understanding the correlation between obsolescence and counterfeits are important and necessary steps to improve decision-making and the management of both obsolescence and counterfeits. This paper describes an investigation of the correlation between DMSMS obsolescence and counterfeit electronics. A description of the study and the positive correlation results, as verified by statistical testing using the historical annual data of obsolescence and counterfeit reporting from the Government-Industry Data Exchange Program, are provided.

The Advanced Test Reactor (ATR) at the Idaho National Laboratory (INL) has provided the capability for irradiation testing of nuclear fuels and materials since 1967, and is expected to operate for several more years. Within the scope of extending the life of a nuclear plant is dealing with aging and obsolescence issues. A component can be considered obsolete if the manufacturer no longer supports the component, or if the manufacturer does not even exist anymore. Though these components can be considered obsolete, the cost of obsolescence may or may not be significant; it may be more cost-effective to leave and/or repair the component rather than to replace it. The project at hand is to develop a tool that will not only identify these components, series of components, or entire systems that are obsolete, but to quantify the cost of obsolescence. This engineering tool will be based on empirical formulas created from data collected from factors that deal with obsolescence. These factors are primarily, the cost of item replacement, current cost of maintenance, cost of maintenance of the replacement, cost of failure, risk of failure, safety, increase in performance/efficiency, length of manufacturer’s support, and so forth. The objective is to be able to look at the outcome of this engineering tool and clearly see what needs to be replaced, be it a component, series of components, or an entire system. If there are several such replacements needed, which one(s) have the greatest priority for replacement. Therefore the engineering tool will identify, quantify, and prioritize the cost of obsolescence in the plant. An engineering tool of this type should find application in a number of nuclear and non-nuclear facilities. While the engineering tool is being developed, the first stage of development will be on system components. Once the foundation is set it will be used to evaluate other systems and eventually expand and develop the engineering tool for the entire plant.

El Archipiélago de San Andrés, Providencia y Santa Catalina es el único departamento insular de Colombia. Su capital, San Andrés, es la principal isla del país. El Archipiélago es una de las Zonas No Interconectadas (ZNI) del territorio colombiano. Abastece su demanda energética, casi en su totalidad con combustibles fósiles, lo que implica retos a la sostenibilidad ambiental y financiera, dada la emisión de gases de efecto invernadero(GEI) y las cargas fiscales para el gobierno central, ya que éste otorga un subsidio para la generación de energía eléctrica. Asimismo, existen ineficiencias en el consumo debido a la obsolescencia de equipos eléctricos y, por otro lado, debido a prácticas inadecuadas en el uso de la electricidad por parte de los beneficiarios del sistema.