42 research outputs found

    Investigating the Relationship between Resilience and the Situation of Risk in the Face of Natural Disasters

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    Creating cities resilient in multiple dimensions could be appropriate and economic thanks to strengthening town structure to alter crises and natural and unnatural hazards. Therefore, the aim of this study is to investigate the connection between the resilience in the city of Sari and the risk situation towards natural disasters. Data analysis with geographic information system (GIS), Decision making trial and evaluation laboratory (DEMATEL), and analytic network process (ANP) is carried out. The variables studied to explain the resilience of the city of Sari are the conditions of open spaces, incompatible land uses, land bed, building resistance, access, property, density, which are evaluated in the presented paradigm. After collecting the scores and multiplying the scores by the coefficients obtained from the statistical procedures of an urban resilience model, the final computation of urban resilience in Sari was performed. The results show that its value has been calculated as 5.44398, which shows that there is an urgent need to develop programs and reform structures to increase the level of resilience in this urban area. One of the effective factors in urban resilience is the high level of social participation in crisis, which is necessary in this area. It is suggested to create educational programs in the community, so that they can maximize the level of communication and participation of employees

    Advanced Modeling, Control, and Optimization Methods in Power Hybrid Systems - 2021

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    The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications such as hybrid and microgrid power systems based on the Energy Internet, blockchain technology and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above

    Uncertain Multi-Criteria Optimization Problems

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    Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems

    Multiple-Criteria Decision Making

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    Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with imprecise, ambiguous, or vague data.This Special Issue, “Multiple Criteria Decision Making”, aims to incorporate recent developments in the area of the multi-criteria decision-making field. Topics include, but are not limited to:- MCDM optimization in engineering;- Environmental sustainability in engineering processes;- Multi-criteria production and logistics process planning;- New trends in multi-criteria evaluation of sustainable processes;- Multi-criteria decision making in strategic management based on sustainable criteria

    Symmetric and Asymmetric Data in Solution Models

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    This book is a Printed Edition of the Special Issue that covers research on symmetric and asymmetric data that occur in real-life problems. We invited authors to submit their theoretical or experimental research to present engineering and economic problem solution models that deal with symmetry or asymmetry of different data types. The Special Issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, seventeen papers were accepted and published. The authors proposed different solution models, mainly covering uncertain data in multicriteria decision-making (MCDM) problems as complex tools to balance the symmetry between goals, risks, and constraints to cope with the complicated problems in engineering or management. Therefore, we invite researchers interested in the topics to read the papers provided in the book

    O comércio eletrónico em Portugal : modelação do consumidor e benchmarking europeu

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    Tese de doutoramento em Gestão, Universidade Lusíada de Lisboa, 2021Exame público realizado em 24 de Janeiro de 2022O comércio eletrónico está a ter um desenvolvimento notável em todo o mundo. Na verdade, a aceleração da difusão da Economia Digital, muito alicerçada na acessibilidade à internet e ao reduzido custo de suportes móveis ou fixos e bem assim o recente surto pandémico têm vindo a introduzir novas dinâmicas de crescimento do comércio eletrónico. Todavia, são muito escassas as referências bibliográficas sobre este novo tipo de comércio publicadas por professores e investigadores portugueses das nossas melhores Escolas de Gestão, pelo que se considerou especialmente oportuna a investigação que consta desta Tese. Ora, pertencendo esta investigação ao âmbito das Ciências de Gestão, importa começar por esclarecer que tipo de investigação aqui se apresenta, e, para tal, convém recordar as principais classes epistemológicas mais utilizadas: a) caraterizar e representar uma realidade aqui se incluindo numerosos estudos monográficos, tipológicos e de benchmarking comparando tal realidade com padrões de referência b) propor uma teoria procurando explicar indicadores importantes em função de outras varáveis, observáveis ou latente c) desenvolver instrumentos de modelação e representação da realidade com o objetivo de poder, em cada caso, aumentar o conhecimento das organizações ou mercados d) estabelecer modelos de diagnóstico e de apoio à decisão de modo a que os responsáveis pela gestão possam escolher as melhores opções Neste quadro taxionómico é fácil situar as investigações apresentadas nesta Tese: Na verdade, estas investigações situam-se nas classes A, C e D pois: 1) neste âmbito, carateriza-se o comércio eletrónico em Portugal e apresenta-se a sua comparação com a média da UE 2) propõe-se um instrumento de medição de satisfação do consumidor em relação ao website de comércio eletrónico apoiado em modelo de avaliação multi-critério 3) testa-se a aplicação deste instrumento com um caso real apresentando-se os resultados obtidos que se julgam muito interessantes 4) a partir dos resultados referidos propõem-se medidas apropriadas para melhorar a situação portuguesa No que respeita ao instrumento de medição da satisfação do consumidor, foi utilizado o método de avaliação OptionCards para a avaliação dos inquiridos, o qual não só permite estimar os dados das caraterísticas de cada website bem como o peso que cada avaliador dá a cada uma dessas mesmas caraterísticas. A estrutura arborescente de critérios adotados baseia-se em numerosos estudos publicados sobre os múltiplos atributos a que os consumidores são mais sensíveis. Os resultados revelaram que os inquiridos privilegiam a confiança do consumidor, seguido da qualidade de entrega, e, por último, a experiência de navegação de um website. O website com melhor média de avaliação de comércio eletrónico do conjunto analisado foi o do Continente. Relativamente ao último objetivo (D), importa sublinhar o atual desequilíbrio entre demanda e oferta pois o aumento das compras nacionais online não tem sido acompanhado proporcionalmente pelas vendas nacionais online o que acentua a importância do instrumento proposto para melhor conhecer a satisfação do consumidor online. Em relação a esta questão também se aplica a metodologia SWOT importando notar que em numerosas áreas de investigação em Gestão, não será possível estudar a sua evolução sem citar a sua aplicação tal como acontece em Gestão da Produção, Investigação Operacional, Sistemas de Apoio à Decisão ou Gestão de Projetos, pelo que também se incluem tais referências na Bibliografia. Embora seja evidente, recorda-se que o instrumento de estimação da satisfação do consumidor admite o postulado de ser necessário estimar tal nível para cada tipo de população de consumidores o que significa que os resultados obtidos são válidos para o grupo estudado, mas ilícito será admitir a sua generalização.E-commerce is having a remarkable development worldwide. In fact, the acceleration of the diffusion of the Digital Economy, based on the accessibility to the Internet and the reduced cost of mobile or fixed supports, as well as the recent pandemic outbreak, have introduced new dynamics of growth in e-commerce. However, there are very few bibliographic references about this new type of commerce published by Portuguese professors and researchers from our best Business Schools. As this research belongs to the scope of Management Sciences, it is important to start by clarifying what kind of research is presented here: a) characterize and represent a reality, including numerous monographic, typological and benchmarking studies comparing this reality with reference standards b) propose a theory seeking to explain important indicators as a function of other variables, observable or latent c) develop a model and representation tools of reality with the objective of being able, in each case, to increase the knowledge of organizations or markets d) establish diagnostic and decision support models so that those responsible for management can choose the best options. In this taxonomic framework it´s easy to situate the research presented in this thesis. In fact, these investigations are situated in classes A, C and D because: 1) in this scope, e-commerce in Portugal is characterized and its comparison with the EU average is presented 2) a tool is proposed for measuring consumer satisfaction in relation to the e-commerce website, supported by a multicriteria evaluation model 3) the application of this tool is tested with a real case, presenting the results obtained, which are considered very interesting 4) based on these results, appropriate measures are proposed to improve the Portuguese situation With regard to the instrument for measuring consumer satisfaction, the OptionCards evaluation method was used to evaluate the respondents, which not only allows estimating the data of the characteristics of each website, but also the weight that each evaluator gives to each of these characteristics. The arborescent structure of criteria adopted is based on numerous published studies on the multiple attributes to which consumers are most sensitive. The results revealed that respondents favor consumer trust, followed by the quality of delivery, and lastly, the navigation experience of a website. The website with the best e-commerce evaluation average of the analyzed set was Continente's. Regarding the last objective D, it is important to stress the current imbalance between demand and supply, since the increase in national online purchases has not been proportionally followed by national online sales, which accentuates the importance of the proposed instrument to better understand online consumer satisfaction. In relation to this issue, the SWOT methodology is also applied, and it is important to note that in many areas of Management research, it is not possible to study its evolution without citing its application, as it happens in Production Management, Operational Research, Decision Support Systems or Project Management. Although it is evident, we must remember that the consumer satisfaction estimation tool admits the postulate of being necessary to estimate such a level for each type of consumer population, which means that the results obtained are valid for the group studied, but it would be illicit to admit its generalization. The author hopes that this thesis will contribute to avoid the scarcity of results published by Portuguese authors in the field of e-commerce

    Sustainable Industrial Engineering along Product-Service Life Cycle/Supply Chain

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    Sustainable industrial engineering addresses the sustainability issue from economic, environmental, and social points of view. Its application fields are the whole value chain and lifecycle of products/services, from the development to the end-of-life stages. This book aims to address many of the challenges faced by industrial organizations and supply chains to become more sustainable through reinventing their processes and practices, by continuously incorporating sustainability guidelines and practices in their decisions, such as circular economy, collaboration with suppliers and customers, using information technologies and systems, tracking their products’ life-cycle, using optimization methods to reduce resource use, and to apply new management paradigms to help mitigate many of the wastes that exist across organizations and supply chains. This book will be of interest to the fast-growing body of academics studying and researching sustainability, as well as to industry managers involved in sustainability management

    How digital data are used in the domain of health: A short review of current knowledge

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    In the era of digitalization, digital data is available about every aspect of our daily lives, including our physical and mental health. Digital data has been applied in the domain of healthcare for the detection of an outbreak of infectious diseases, clinical decision support, personalized care, and genomics. This paper will serve as a review of the rapidly evolving field of digital health. More specifically, we will discuss (1) big data and physical health, (2) big data and mental health, (3) digital contact tracing during the COVID-19 pandemic, and finally, (4) ethical issues with using digital data for health-related purposes. With this review, we aim to stimulate a public debate on the appropriate usage of digital data in the health sector

    Sustainable Supply Chain Management

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    The book is a collection of studies dedicated to different perspectives of three dimensions or pillars of the sustainability of supply chain and supply chain management - economic, environmental, and social - and other aspects related to performance evaluation, optimization, and modelling of and for sustainable supply chain management, and thus presents another valuable contribution to sustainable development and sustainable way of life

    Assessment of the performance of nurses based on the 360-degree model and fuzzy multi-criteria decision-making method (FMCDM) and selecting qualified nurses

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    Background: Human resources is the most prominent asset of an organization. Despite the constant effort to design optimal and effective systems for assessing employees, evidence shows that managers are not satisfied with the methods and systems to assess employees. Objectives: Researchers wanted to assess the performance of nurses based on the 360-degree model and fuzzy multi-criteria decision-making technique (FMCDM) and selecting qualified nurses. Methods: The present study is descriptive and conducted in 2016 in a hospital at Kashan University of Medical Sciences. This study conducted in three �stages. 1) Identification of criteria and sub-criteria for the performance assessment that classified into five groups (technical skills, human skills, and perceived skills; individual characteristics; and compliance with the organization's rules and regulations). 2) Weighing the criteria and sub-criteria based on the DEMATEL-ANP (DANP) method in a fuzzy environment. 3) Assessing the performance of nurses based on the 360-degree model, which includes supervisors, coworkers, self-assessment, and patients and their companions. In this stage, four groups used the VIKOR questionnaire to assess the performance. Results: Among five criteria of assessment, �Human Skills� earned a top score, and among 21 sub-criteria, �Identify the strengths and weaknesses,� �Suitable relationships with patients,� and �Partnership with colleagues� earned the top score. In the 360-degree model, the supervisor's assessment score was 0.521, with the highest weight, and the self-assessment was 0.042 with the lowest weight. Finally, nurse 3 in children and infants ward earned the highest ranking. Conclusions: The advantage of the proposed method is more realistic results than other methods because the criteria and sub-criteria are weighted, and the importance of each is determined. Hospitals can use the results of this study to assess the performance of medical groups. © 2020 The Author(s) Health profession; Nursing; Assessing the performance, 360-Degree model, Fuzzy multi-criteria decision-making method and qualified nurses © 2020 The Author(s
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