Capítulos (Organización Industrial y Gestión de Empresas I)

URI permanente para esta colecciónhttps://hdl.handle.net/11441/11403

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Mostrando 1 - 5 de 5

Motivación a la inversión mediante un juego en bolsa
(Egregius, 2017) León Blanco, José Miguel; Andrade Pineda, José Luis; González Rodríguez, Pedro Luis; Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I
La experiencia que se propone pretende mejorar el rendimiento de la enseñanza de conceptos de análisis de inversiones mediante un juego de bolsa con el que se pretende simular la presión a la que se ve sometido un gestor ante la necesidad de obtener un rendimiento económico mediante el capital del que dispone para el funcionamiento de su empresa. La aplicación de este juego se realiza en la asignatura Gestión Financiera, impartida en el Grado en Ingeniería de las Tecnologías Industriales de la Universidad de Sevilla. Para incentivar el esfuerzo de los alumnos en presentar los resultados de su trabajo, se propone que parte de la calificación que reciben los trabajos sea otorgada por los propios alumnos, una vez han presentado los resultados ante otros alumnos.
An overview on the obsolescence of physical assets for the defence facing the challenges of industry 4.0 and the new operating environments
(CR Press, 2018-06) González-Prida, Vicente; Zamora, J.; Crespo Márquez, Adolfo; Villar-Fidalgo, Luis; Martínez-Galán, Pablo; Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I; Haugen, Stein; Universidad de Sevilla. TEP134: Organizacion Industrial
This contribution is intended to observe special features presented in physical assets for defence. Particularly, the management of defence assets has to consider not only the reliability, availability, maintainability and other factors frequently used in asset management. On the contrary, such systems should also take into account their adaptation to changing operating environments as well as their capability to changes on the technological context. This study approaches to the current real situation where, due to the diversity of conflicts in our international context, the same type of defence systems must be able to provide services under different boundary conditions in different areas of the globe. At the same time, new concepts from the Industry 4.0 provide quick changes that should be considered along the life cycle of a defence asset. As a finding or consequence, these variations in operating conditions and in technology may accelerate asset degradation by modifying its reliability, its up-to-date status and, in general terms, its end-of-life estimation, depending of course on a diversity of factors. This accelerated deterioration of the asset is often known as “obsolescence” and its implications are often evaluated (when possible), in terms of costs from different natures. The originality of this contribution is the introduction of a discussion on how a proper analysis may help to reduce errors and mistakes in the decision-making process regarding the suitability or not of repairing, replacing, or modernizing the asset or system under study. In other words, the obsolescence analysis, from a reliability and technological point of view, could be used to determine the conservation or not of a specific asset fleet, in order to understand the effects of operational and technology factors variation over the functionality and life cycle cost of physical assets for defence.
Cyber physical systems implementation for asset management improvement: A framework for the transition
(CRC Press, 2018-06) Villar-Fidalgo, Luis; Crespo Márquez, Adolfo; González-Prida, Vicente; Fuente, Antonio de la; Martínez-Galán, Pablo; Guillén López, Antonio Jesús; Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I; Haugen, Stein; Universidad de Sevilla. TEP134: Organizacion Industrial
The transformation of the industry due to recent technologies introduction is an evolving process whose engines are competitiveness and sustainability, understood in its broadest sense (environmental, economic and social). This process is facing, due to the current state of scientific and technological development, a new challenge yet even more important: the transition from discrete technological solutions that respond to isolated problems, to a global conception where the assets, plant, processes and engineering systems are conceived, designed and operated as an integrated complex unit. This vision is evolving besides a set of concepts that are, in some way, to guide this development: Smart Factories, Cyber-Physical Systems, Factory of the Future or Industry 4.0, are examples. The full integration of the operation and maintenance (O&M) processes in the production systems is a key topic within this new paradigm. Not only that, this evolution necessarily results in the emergence of new processes and needs of O&M, i.e. also, the O&M will undergo a profound transformation. The transition from actual isolated production assets to such Industry 4.0 with CPS is far from easy. This document presents a proposal to develop such transition adapting one iteration of the Model of Maintenance Management (MMM) integrated into ISO 55000 to the complexity of incorporating “System of Systems” CPSs maintenance. It involves several stages: identification, prioritization, risk management, planning, scheduling, execution, control, and improvement supported by system engineering techniques and agile/concurrent project management
Strategic view of an assets health index for making long-term decisions in different industries
(CRC Press, 2018) Fuente, Antonio de la; Guillén López, Antonio Jesús; Crespo Márquez, Adolfo; Sola Rosique, Antonio; Gómez Fernández, Juan Francisco; Moreu de León, Pedro; González-Prida, Vicente; Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I; Haugen, Stein; Universidad de Sevilla. TEP134: Organizacion Industrial
An Asset Health Index (AHI) is a tool that processes data about asset’s condition. That index is intended to explore if alterations can be generated in the health of the asset along its life cycle. These data can be obtained during the asset’s operation, but they can also come from other information sources such as geographical information systems, supplier’s reliability records, relevant external agent’s records, etc. The tool (AHI) provides an objective point of view in order to justify, for instance, the extension of an asset useful life, or in order to identify which assets from a fleet are candidates for an early replacement as a consequence of a premature aging. This paper develops a model applicable to different classes of equipment and industrial sectors. A review of the main cases where the asset health index has been applied is included. Likewise, advantages and disadvantages in the application of this kind of tools are revealed, providing a guide for a research line related to the general application of this tool.
Criticality Analysis for Network Utilities Asset Management
(Elsevier, 2019) Martínez-Galán, Pablo; Gómez Fernández, Juan Francisco; Crespo Márquez, Adolfo; Guillén López, Antonio Jesús; Fuente, Antonio de la; Candón, Eduardo; Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas I; Universidad de Sevilla.TEP134: Organizacion Industrial
The proposed work describes the main part of asset criticality analysis for Distribution Network Services Providers (DNSP), also known as Network Utilities, the severity-value factors definition. The methodology is based on the risk-based evaluation of assets, considering potential impacts of their failures on network value. Thus, it provides the capability to take maintenance management decision in terms of value and risk, considering the whole network under unique and homogeneous criteria. A hierarchy of assets ranked according to with value and risk will come out of this process, which represents a fundamental result serving as input of the subsequent steps of the asset management process. Specific attention is paid to network utilities issues, characterizing assets in these companies, and the services that they provide. In addition to this, high requirements established by the Service Level Agreements (SLA), that are characteristics of network services contracts, make this methodology especially suitable in this application. In order to illustrate method applicability, an example extracted from a real electrical network use case is included.

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