An analytical multicriteria model based on graph theory for reliability enhancement in distribution electrical networks

The electrical distribution network is a critical and complex system in terms of safety and reliability, because it is composed of different components (switches, reclosers, etc.). The improvement of its reliability is therefore one of the most important tasks through the good management of remote-controlled switches and reclosers in this network. This paper presents an analytical model based on graph theory to evaluate SAIDI and SAIFI indices based on the network architecture and the location of remote-controlled reclosers and switches. These indicators have been used to formalize a multi-objective mathematical model that respects the real operation constraints of equipments in smart grid. The applied model, in this article, was evaluated on an IEEE 13 bus network using the TOPSIS method to determine the optimal location of the switches and reclosers and to improve the overall reliability of the distribution network

Contributions to the selection and implementation of standard software for CRM and electronic invoicing

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Sustainable Assessment in Supply Chain and Infrastructure Management

In the competitive business environment or public domain, the sustainability assessment in supply chain and infrastructure management are important for any organization. Organizations are currently striving to improve their sustainable strategies through preparedness, response, and recovery because of increasing competitiveness, community, and regulatory pressure. Thus, it is necessary to develop a meaningful and more focused understanding of sustainability in supply chain management and infrastructure management practices. In the context of a supply chain, sustainability implies that companies identify, assess, and manage impacts and risks in all the echelons of the supply chain, considering downstream and upstream activities. Similarly, the sustainable infrastructure management indicates the ability of infrastructure to meet the requirements of the present without sacrificing the ability of future generations to address their needs. The complexities regarding sustainable supply chain and infrastructure management have driven managers and professionals to seek different solutions. This Special Issue aims to provide readers with the most recent research results on the aforementioned subjects. In addition, it offers some solutions and also raises some questions for further research and development toward sustainable supply chain and infrastructure management

Collected Papers (on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics), Volume XI

This eleventh volume of Collected Papers includes 90 papers comprising 988 pages on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics, written between 2001-2022 by the author alone or in collaboration with the following 84 co-authors (alphabetically ordered) from 19 countries: Abhijit Saha, Abu Sufian, Jack Allen, Shahbaz Ali, Ali Safaa Sadiq, Aliya Fahmi, Atiqa Fakhar, Atiqa Firdous, Sukanto Bhattacharya, Robert N. Boyd, Victor Chang, Victor Christianto, V. Christy, Dao The Son, Debjit Dutta, Azeddine Elhassouny, Fazal Ghani, Fazli Amin, Anirudha Ghosha, Nasruddin Hassan, Hoang Viet Long, Jhulaneswar Baidya, Jin Kim, Jun Ye, Darjan Karabašević, Vasilios N. Katsikis, Ieva Meidutė-Kavaliauskienė, F. Kaymarm, Nour Eldeen M. Khalifa, Madad Khan, Qaisar Khan, M. Khoshnevisan, Kifayat Ullah,, Volodymyr Krasnoholovets, Mukesh Kumar, Le Hoang Son, Luong Thi Hong Lan, Tahir Mahmood, Mahmoud Ismail, Mohamed Abdel-Basset, Siti Nurul Fitriah Mohamad, Mohamed Loey, Mai Mohamed, K. Mohana, Kalyan Mondal, Muhammad Gulfam, Muhammad Khalid Mahmood, Muhammad Jamil, Muhammad Yaqub Khan, Muhammad Riaz, Nguyen Dinh Hoa, Cu Nguyen Giap, Nguyen Tho Thong, Peide Liu, Pham Huy Thong, Gabrijela Popović‬‬‬‬‬‬‬‬‬‬, Surapati Pramanik, Dmitri Rabounski, Roslan Hasni, Rumi Roy, Tapan Kumar Roy, Said Broumi, Saleem Abdullah, Muzafer Saračević, Ganeshsree Selvachandran, Shariful Alam, Shyamal Dalapati, Housila P. Singh, R. Singh, Rajesh Singh, Predrag S. Stanimirović, Kasan Susilo, Dragiša Stanujkić, Alexandra Şandru, Ovidiu Ilie Şandru, Zenonas Turskis, Yunita Umniyati, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Binyamin Yusoff, Edmundas Kazimieras Zavadskas, Zhao Loon Wang.‬‬‬

Ubicación óptima para la incorporación de electrolineras para vehículos eléctricos en la ciudad de Cuenca mediante la aplicación de técnicas multicriterio (MCDM)

La incorporación de los vehículos eléctricos (BEV por sus siglas en Ingles) en la movilidad urbana se incrementa cada día en diferentes ciudades del mundo y la demanda de estaciones de recarga para BEV (EVCS por sus siglas en Ingles) también aumenta. Dentro de las redes eléctricas inteligentes no solo se encuentra involucrado la incorporación de generación distribuida, telecomunicaciones entre otras tecnologías, también la integración de EVCS es una parte importante que influye en el desempeño de la red eléctrica. Una adecuada planificación para ubicar EVCS evalúa criterios de diferentes áreas que no se relacionan entre sí, pero son parte del problema en general. Esta investigación propone la aplicación de métodos de toma de decisión multicriterio (MCDM por sus siglas en Ingles) para resolver problemas de panificación para ubicar EVCS. Para ello se ha elegido como alternativas al número de estaciones de suministro de combustible que existen dentro de la ciudad de Cuenca. También se ha determinado criterios y subcriterios en base a la información disponible, los mismos ayudan a plantear tres escenarios a partir de la variación de sus pesos. En el primer escenario se aplica el método de pesos iguales, en el segundo se valora los subcriterios por medio de una encuesta a profesionales y se aplica el método AHP. Mientras que para el tercero se utiliza las mismas valoraciones de las encuestas, pero se utiliza el método AHP-FUZZY. Finalmente se aplica los métodos VIKOR, TOPSIS y PROMETHEE para jerarquizar las alternativas desde la mejor a la peor en cada escenario, para determinar el emplazamiento de EVCS. Tres alternativas han permanecido entre los tres primeros lugares en 7 de las 9 evaluaciones que se han realizado. Al no existir un resultado concluyente se procede a realizar un análisis estadístico que permitió fortalecer el proceso de decisión y llegar a un resultado favorable.The incorporation of electric vehicles (BEV) in urban mobility is increasing every day in different cities around the world and the demand for BEV charging stations (EVCS) is also increasing. Within smart electrical networks, not only is the incorporation of distributed generation, telecommunications, among other technologies, involved, but also the integration of EVCS is an important part that influences the performance of the electrical network. Proper planning to locate EVCS evaluates criteria from different areas that are not related to each other, but are part of the overall problem. This research proposes the application of multi-criteria decision making (MCDM) methods to solve planning problems to locate EVCS. For this reason, the number of fuel supply stations that exist within the city of Cuenca has been chosen as an alternative. Also, criteria and sub-criteria have been determined based on the available information, which help to propose three scenarios based on the variation of their weightings. In the first scenario, the equal weights method is applied, in the second, the subcriteria are assessed through a survey of professionals and the AHP method is applied. While for the third the same evaluations of the surveys are used, but the AHP-FUZZY method is used. Finally, the VIKOR, TOPSIS and PROMETHEE methods are applied to rank the alternatives from the best to the worst in each scenario, to determine the location of EVCS. Three alternatives have remained in the top three places in 7 of the 9 evaluations performed. In the absence of a conclusive result, we proceeded to perform a statistical analysis that could strengthen the decision process and arrive at a favorable result.Magíster en Electricidad Mención Redes Eléctricas InteligentesCuenc

Vehicle and Traffic Safety

The book is devoted to contemporary issues regarding the safety of motor vehicles and road traffic. It presents the achievements of scientists, specialists, and industry representatives in the following selected areas of road transport safety and automotive engineering: active and passive vehicle safety, vehicle dynamics and stability, testing of vehicles (and their assemblies), including electric cars as well as autonomous vehicles. Selected issues from the area of accident analysis and reconstruction are discussed. The impact on road safety of aspects such as traffic control systems, road infrastructure, and human factors is also considered

Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets

Neutrosophy (1995) is a new branch of philosophy that studies triads of the form (, , ), where is an entity {i.e. element, concept, idea, theory, logical proposition, etc.}, is the opposite of , while is the neutral (or indeterminate) between them, i.e., neither nor .Based on neutrosophy, the neutrosophic triplets were founded, which have a similar form (x, neut(x), anti(x)), that satisfy several axioms, for each element x in a given set.This collective book presents original research papers by many neutrosophic researchers from around the world, that report on the state-of-the-art and recent advancements of neutrosophic triplets, neutrosophic duplets, neutrosophic multisets and their algebraic structures – that have been defined recently in 2016 but have gained interest from world researchers. Connections between classical algebraic structures and neutrosophic triplet / duplet / multiset structures are also studied. And numerous neutrosophic applications in various fields, such as: multi-criteria decision making, image segmentation, medical diagnosis, fault diagnosis, clustering data, neutrosophic probability, human resource management, strategic planning, forecasting model, multi-granulation, supplier selection problems, typhoon disaster evaluation, skin lesson detection, mining algorithm for big data analysis, etc

Sustainable Construction Engineering and Management

This Book is a Printed Edition of the Special Issue which covers sustainability as an emerging requirement in the fields of construction management, project management and engineering. We invited authors to submit their theoretical or experimental research articles that address the challenges and opportunities for sustainable construction in all its facets, including technical topics and specific operational or procedural solutions, as well as strategic approaches aimed at the project, company or industry level. Central to developments are smart technologies and sophisticated decision-making mechanisms that augment sustainable outcomes. The Special Issue was received with great interest by the research community and attracted a high number of submissions. The selection process sought to balance the inclusion of a broad representative spread of topics against research quality, with editors and reviewers settling on thirty-three articles for publication. The Editors invite all participating researchers and those interested in sustainable construction engineering and management to read the summary of the Special Issue and of course to access the full-text articles provided in the Book for deeper analyses

An Investigation into Factors Affecting the Chilled Food Industry

With the advent of Industry 4.0, many new approaches towards process monitoring, benchmarking and traceability are becoming available, and these techniques have the potential to radically transform the agri-food sector. In particular, the chilled food supply chain (CFSC) contains a number of unique challenges by virtue of it being thought of as a temperature controlled supply chain. Therefore, once the key issues affecting the CFSC have been identified, algorithms can be proposed, which would allow realistic thresholds to be established for managing these problems on the micro, meso and macro scales. Hence, a study is required into factors affecting the CFSC within the scope of Industry 4.0. The study itself has been broken down into four main topics: identifying the key issues within the CFSC; implementing a philosophy of continuous improvement within the CFSC; identifying uncertainty within the CFSC; improving and measuring the performance of the supply chain. However, as a consequence of this study two further topics were added: a discussion of some of the issues surrounding information sharing between retailers and suppliers; some of the wider issues affecting food losses and wastage (FLW) on the micro, meso and macro scales. A hybrid algorithm is developed, which incorporates the analytic hierarchical process (AHP) for qualitative issues and data envelopment analysis (DEA) for quantitative issues. The hybrid algorithm itself is a development of the internal auditing algorithm proposed by Sueyoshi et al (2009), which in turn was developed following corporate scandals such as Tyco, Enron, and WorldCom, which have led to a decline in public trust. However, the advantage of the proposed solution is that all of the key issues within the CFSC identified can be managed from a single computer terminal, whilst the risk of food contamination such as the 2013 horsemeat scandal can be avoided via improved traceability

More Important Than Their Money Offering: The Application of Action Research, ANP and TOPSIS to Real Estate Investing

This thesis examines the supplier selection process of non-institutional financial capital suppliers by small-scale real estate investing organizations and focuses specifically on the key criterion that real estate investing companies should seek when selecting and evaluating potential suppliers to promote an ideal partnership. These partnerships can provide the real estate investing organizations with vital capital access that allows business growth, larger transaction sizes, and greater volume but can be detrimental if the partners are ill-matched. Without a reputation or industry experience, many novice real estate investors are unaware of what qualities are most important to pursue when forming these critical relationships and simply accept any partner willing to provide capital. By using Action Research and quantitative methodologies of Analytical Network Process (ANP) and TOPSIS, this thesis documents the development of a start-up, solo-entrepreneurial investing organization and the actionable creation of an organizational supplier onboarding tool. The study surveys nineteen real estate industry expert participants and ultimately highlights six criterions as most important when selecting and evaluating potential financial capital suppliers: trustworthiness, motivation, quality of past experience, collateral and capacity, risk tolerance and risk appetite, and responsiveness. Using these findings, the entrepreneurial organization successfully develops and launches a free, online personalized questionnaire service for the benefit of both the future potential financial suppliers and the investing organization that strengthens partner communication, clarifies organizational culture and business development, and promotes overall service supply chain growth