Ponencias (Organización Industrial y Gestión de Empresas I)

URI permanente para esta colecciónhttps://hdl.handle.net/11441/11404

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Efficiency assessment of Reconfigurable Manufacturing Systems
(Elsevier, 2017) Eguía Salinas, Ignacio; Villa Caro, Gabriel; Lozano Segura, Sebastián; Organización Industrial y Gestión de Empresas I; Ministerio de Ciencia e Innovación (MICIN). España; European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)
A novel Data Envelopment Analysis (DEA) approach is proposed to assess the technical efficiency of Reconfigurable Manufacturing Systems (RMS) by benchmarking the observed time allocation of the different system configurations and the inputs consumed and output produced in each of them. The inputs considered are the time usage of the different RMS modules, labour and energy consumed. The outputs are the number of units produced of each part type. The proposed approach is illustrated on a simulated dataset. The results show that the proposed approach can identify and quantify inefficiencies in the system operation, thus helping to increase productivity.
Aplicación del Modelo de Gestión de Mantenimiento (MGM) alineado a un proceso integral de Gestión de Activos. Caso de estudio: SINEA Perú
(Ponta Editora, 2025-02) Parra, Carlos; Morán, Carlos; Aránquiz, Andrés; Pizarro, Félix; Duque, Pablo; González-Prida, Vicente; Parra, Jorge; Organización Industrial y Gestión de Empresas I
La efectividad de un proceso integral de gestión del mantenimiento y de la confiabilidad, puede ser evaluada, a partir del análisis detallado de una amplia variedad de factores que, en su conjunto, constituyen la aportación del mantenimiento a los procesos de operación y producción de un activo industrial. No hay fórmulas simples que permitan diseñar un modelo integral de mantenimiento y confiabilidad dentro de un proceso de gestión de activos (bajo el enfoque del estándar ISO 55001), tampoco hay reglas fijas o inmutables con validez para siempre y aplicables de la misma forma para todos los activos de producción. En función de los argumentos expuestos, el objetivo principal de este artículo consiste, en presentar un resumen del proyecto de implantación de la herramienta AMORMS (Asset Management, Operational Reliability Survey), basada en el Modelo de Gestión del Mantenimiento (MGM) desarrollado por INGEMAN, en la Planta SINEA PERÚ, empresa líder en Latinoamérica en la fabricación industrial de envases de plástico reciclado para bebidas comerciales (preformas PET — Tereftalato de Polietileno). A continuación, se describen los aspectos de mayor relevancia desarrollados en el proyecto y que serán analizados en el presente artículo: Identificación de los factores claves que ayuden a mejorar el desempeño de los activos a partir de la aplicación de técnicas de optimización de gestión del mantenimiento y de ingeniería de confiabilidad, integradas a un modelo de Gestión de Activos. Evaluación de los procesos críticos del Modelo de Gestión de Mantenimiento y Confiabilidad (MGM) propuesto, bajo el marco de referencia de un proceso de Gestión de Activos (normas relacionadas: UNE 16646 e ISO 55001). Propuesta de conformación de un grupo de soporte de Ingeniería de Confiabilidad, orientado a implementar las acciones propuestas a partir de la aplicación del MGM. Análisis de los resultados obtenidos a partir de la aplicación de la herramienta de diagnóstico AMORMS: Asset Management, Operational Reliability and Maintenance Survey); y de las técnicas de RCA (Root Cause Analysis) y RCM (Reliability Centered Maintenance), en un área piloto de la Planta SINEA PERÚ. Finalmente, se describen las recomendaciones y planes de acción de mayor impacto, que ayudarán a la organización SINEA PERÚ, a consolidar la eficacia de sus procesos de gestión del mantenimiento y de la confiabilidad y a optimizar de forma eficiente, el valor de sus activos industriales a lo largo del ciclo de vida útil.
Matriz de Criticidad Cualitativa de Riesgo (MCCR) aplicada en una línea de producción de envases biodegradables
(Ponte Editora, 2026-04) Parra, Carlos; Tino, Giovanni; Parra, Jorge; Pizarro, Félix; Duque, Pablo; Kohnenkamp, Erik; Baldi, Carlos; Ciudad, Carlos; González-Prida, Vicente; Organización Industrial y Gestión de Empresas I
Las técnicas de análisis de criticidad que consideran el factor Riesgo, son herramientas que permiten en primer lugar, identificar la importancia de los activos de una instalación industrial y en segundo lugar, direccionar de forma eficiente los recursos: humanos, económicos y tecnológicos. En el siguiente artículo, se explican los aspectos teóricos básicos de un modelo de Análisis de Riesgo Cualitativo, utilizado para determinar la criticidad de los equipos y cuyo proceso considera, la evaluación de dos factores claves: confiabilidad (frecuencia de fallos) y consecuencias (impacto que generan las fallas sobre la seguridad, el ambiente y la producción). Adicionalmente, se presenta un caso de estudio, basado en la herramienta denominada: Matriz de Criticidad Cualitativa de Riesgo (MCCR), la cual se aplica en una planta de manufactura de envases biodegradables del sector agroindustrial de Panamá. A continuación, se describen algunos de los aspectos de mayor relevancia a desarrollar en el artículo: La aplicación correcta de los métodos cualitativos de Análisis de Criticidad, ayudará a los niveles gerenciales y técnicos a tomar decisiones con un menor nivel de incertidumbre en los procesos relacionados con la operación y el mantenimiento de los activos industriales. En relación específica a la gestión del mantenimiento, los resultados de un proceso de análisis de criticidad basado en Riesgo, permitirán que se puedan desarrollar estrategias de mantenimiento con un enfoque de optimización Costo-Riesgo-Beneficio. Es importante que la gerencia de mantenimiento entienda que los modelos de criticidad a diseñar, deben alinearse con los objetivos del negocio y no cometer el error de desarrollar herramientas de criticidad, dónde solo se incluyan factores particulares del proceso de mantenimiento, con respecto a este punto, el utilizar modelos de criticidad basados en Riesgo, generan un escenario favorable, para evaluar el impacto de los factores inherentes al proceso de mantenimiento y además, facilitan el proceso para adicionar factores tales como: producción, calidad, costos de pérdidas de producción, seguridad, ambiente, etc., los cuales se relacionan con un proceso integral de gestión de activos. Finalmente, implementación correcta de las recomendaciones obtenidas a partir del análisis de los resultados de la metodología MCCR (Matriz de Criticidad Cualitativa de Riesgo), optimizará los procesos técnicos de la gestión del mantenimiento y mejorará la rentabilidad de los productos manufacturados en la Planta de Envases Biodegradables MOLPASA (Panamá), a lo largo de todo su ciclo de vida industrial.
Implementación de un plan de gestión de activos según la norma ISO 55001 en la Central de Generación Eléctrica Colmito
(Ponte Editora, 2024-09) Parra, Carlos; Baldi, Carlos; Cuadra, Cristian; Araya, Juan; Nuñez, José; Ulloa, César; González-Prida, Vicente; Organización Industrial y Gestión de Empresas I
El artículo propuesto, describe el proceso general de implementación del Plan de Gestión de Activos bajo el enfoque de la norma NCh-ISO 55001 para la Central de Generación Eléctrica Colmito (Chile), que tiene como finalidad, mejorar la calidad de servicio, reduciendo la indisponibilidad por averías, optimizando la operatividad y alargando la vida útil de los activos, adaptándose a la legislación vigente y cumpliendo con los objetivos y metas definidos en la gestión de activos, dando cumplimiento al Decreto Supremo 109, de 2017, del ministerio de energía, reglamento de seguridad de las instalaciones eléctricas destinadas a la producción, transporte, prestación de servicios complementarios, sistemas de almacenamiento y distribución de energía eléctrica, específicamente, el Pliego Técnico Normativo RPTD N°17 que establece los requisitos del SGIIE (Sistema de Gestión de Integridad de Instalaciones Eléctricas), Chile. En la primera parte, se desarrolla el contexto operacional de la Central de Generación Eléctrica Colmito y el marco regulatorio del mercado eléctrico con el objetivo de brindar un entendimiento de la organización y de cómo interactúa con los diferentes entes que tienen una participación en el mercado. También, se presentan los detalles de la herramienta de diagnóstico que se utilizó para evaluar los requerimientos exigidos por la norma de Gestión de Activos NCh-ISO 55001 (herramienta de referencia desarrollada por el IAM: Institute of Asset Management) y los resultados del nivel de madurez que tiene la Central de Generación Eléctrica Colmito con respecto a los requerimientos de la norma NCh-ISO 55001. Finalmente, se describen las directrices en la elaboración y puesta en marcha del Sistema de Gestión Activos para la Central de Generación Eléctrica Colmito y los procesos de planificación, apoyo, operación, evaluación del desempeño y mejora que se proponen para consolidar el PGEA (Plan de Gestión Estratégico de Gestión de Activos), con el objetivo de dar cumplimiento a los ítems del 4 al 10 de la norma NCh-ISO 55001, para minimizar los riesgos operacionales y maximizar la rentabilidad de los activos de la de la Central Colmito a lo largo de todo su ciclo de vida.
Preliminary ontology definition for aerospace assembly lines in Airbus using Models for Manufacturing methodology
(Elsevier, 2019) Mas, Fernando; Racero Moreno, Jesús; Oliva, Manuel; Morales-Palma, Domingo; Organización Industrial y Gestión de Empresas I; Ingeniería Mecánica y Fabricación; TEP216: Tecnologías de la Información e Ingeniería de Organización; TEP111: Ingeniería Mecánica
During the conceptual design phase of an aerospace assembly line, the Design Solutions that will meet the functional and industrial requirements are defined. As a result it is possible to define an early conceptual design of the assembly line and its basic parameters. Assembly Line Balancing (ALB) comprises ordering of tasks among stations to satisfy precedence constraints. Due to the specific features of an aircraft, such approach is not fully suitable for the case of an aerospace assembly line where the number of stations relates to technological criteria rather than to a calculation aiming to minimize a specific parameter. This paper presents a preliminary ontology definition for aerospace assembly lines in the Airbus context using Model for Manufacturing (MfM) methodology. The authors implement a new approach to characterize mono configured aerospace products. This new approach lets maximum flexibility in the shopfloor implementing the adherence characteristic and is developed using a novel methodology, MfM. The new approach for modelling manufacturing systems has been coined as an extension of the previous authors’ research to introduce MBSE (Model Based Systems Engineering) concepts in manufacturing. A preliminary ontology based on MfM is developed and proposed to represent an aerospace assembly line using the innovative concept of adherence to assembly stations. The model scope is the configuration of the design solutions against manufacturing solutions, and the arrangement of them in a network of networks. The ontology definition is based on the DA08 artifact, used by authors in several researches, supporting the models currently in development and the next steps.
Framework for 2D nesting and scheduling in Additive Manufacturing with alternative orientations and multiple objectives
(Elsevier, 2025) Eguía Salinas, Ignacio; Molina Gómez, José Carlos; Racero Moreno, Jesús; Padillo Eguía, Andrés; Organización Industrial y Gestión de Empresas I; Ministerio de Ciencia e Innovación (MICIN). España; TEP216: Tecnologías de la Información e Ingeniería de Organización
This paper deals with the assignment of parts to jobs (nesting) in Additive Manufacturing (AM) and the scheduling of jobs in non-identical 3D printing machines. The integrated approach of nesting and scheduling is focus on minimizing three alternative objectives: production costs, total delays and makespan. The problem considers the possibility of incorporating different orientations of parts and 2D rectangular bin packing techniques to be grouped in jobs, increasing the complexity and approaching a real situation in the industry. This extra guidance component allows to reduce total production costs, part delays and makespan, especially in highly complex problems. These problems are solved using a semiparallel construction heuristic framework. This kind of heuristics are currently of great scientific interest but have not been evaluated in this way until now in additive manufacturing problems allowing alternative orientations and 2D nesting. In order to validate the performance of the algorithm, computational experiments were carried out on benchmark instances with one orientation in parts. New sets of benchmark cases adapted from the literature with some alternative orientations in parts are also presented and solved to minimize the three objectives separately. It is observed that the proposed method has a good performance and provides reasonably costs- time- and delay- savings when alternative part orientations are used.
Resilience analysis of Circular Supply Chains under demand spike
(Elsevier, 2025) Fussone, Rachele; Fussone, Rebecca; Cannella, Salvatore; Giuffrida, Giovanni; Framiñán Torres, José Manuel; Organización Industrial y Gestión de Empresas I; Ministerio de Educación y Ciencia (MEC). España
Nowadays, more and more disruptive events such as weather phenomena, health crises, or wars can affect supply chain resilience. At the same time, new circular approaches based on the recovery of waste are spreading in companies worldwide. The goal of this work is to analyze the resilience of circular supply chains under market demand spike, as happened in the Covid-19 pandemic scenario. The results obtained show how the implementation of circular paradigms, such as industrial symbiosis and closed-loops supply chains, can improve supply chain resilience. Particularly, supply chain’s adaptive and restorative capacities are always improved, also for moderate degree of circularity. Moreover, increasing the circularity of supply chain also increases the absorptive capacity.
A MILP model for the Integrated Scheduling and Energy Management problem
(Elsevier, 2025) Framiñán Torres, José Manuel; Gómez Jiménez, Javier; Escaño González, Juan Manuel; Bordons Alba, Carlos; Organización Industrial y Gestión de Empresas I; Ingeniería de Sistemas y Automática; Ministerio de Ciencia e Innovación (MICIN). España
Inspired by a real-life manufacturing case study, this paper addresses the Integrated Scheduling and Energy Management (ISEM) problem. This problem consists of scheduling jobs in an heterogeneous hybrid flowshop where the machines in some stages process the jobs in batches, as well as managing the energy consumption provided by an Industrial Microgrid (IMG). The IMG includes the generation of energy using renewable Sources, a power plant operating using gas purchased to an external provider, and a Battery Energy Storage System. The objective is to minimize the operating costs of the IMG while scheduling the jobs within the time allocated. A Mixed Integer Linear Programming (MILP) model for this rather complex problem is provided, and computational experiments are carried out, showing that the MILP model is able to reach the optimal solution (or with a minimal optimality gap) for realistic cases, even if the number of stages and jobs that the model can handle within a reasonable computational effort is limited.
DIGITAL AERO. Integrated System for Industrial Product Manufacturing
(Springer Nature, 2025-11) Padillo Eguía, Andrés; Racero Moreno, Jesús; Molina Gómez, José Carlos; Eguía Salinas, Ignacio; Organización Industrial y Gestión de Empresas I; TEP216: Tecnologías de la Información e Ingeniería de Organización
The digitization of production environments has become a key priority in the industrial sector due to its substantial benefits, including significant reductions in production costs and response times. The emergence of digital twins (DTs) stems from the industry’s continuous pursuit of advanced digitalization technologies. However, their implementation remains a considerable challenge due to the complexity of many systems, resulting in prolonged deployment times and high financial costs for companies. This study aims to define an architecture that demonstrates the capabilities of Product Lifecycle Management (PLM) systems in facilitating the implementation of DTs in industrial manufacturing environments. The proposed approach leverages cost effective systems with interoperability capabilities, thereby making DT technology more accessible to small and medium sized enterprises (SMEs).
Redesigning the customer order fulfilment process in a company in the Fast-Moving Consumer Goods sector
(Elsevier, 2025) Framiñán Torres, José Manuel; Guerrero, Francisco; Pérez González, Paz; Toscano, Sonia; Organización Industrial y Gestión de Empresas I; European Union (UE). H2020
This paper presents a redesigned order fulfillment process for a company operating in a MTS setting that optimally allocates the customer orders to the distribution centres with enough stock to be promised to the orders without compromise future ones. A Decision Support System that embeds two MILP models runs through an iterative process where part of the stock is uncommitted so it can be used by orders arriving later on. Maximization of the service level while minimizing transportation costs are the objectives considered. The system is compared to the existing DSS where the distribution centre for each order was assigned in advance. The analysis carried out using real data shows an improvement in the service level provided by the DSS proposed.
Push vs Pull replenishment policies in Symbiotic Supply Chains
(Elsevier, 2025) Fussone, Rebecca; Fussone, Rachele; Cannella, Salvatore; Framiñán Torres, José Manuel; Organización Industrial y Gestión de Empresas I; European Union (UE); Ministerio de Educación y Ciencia (MEC). España
The circular production approach, based on the continuous recovery of value from waste as raw materials for manufacturing processes, is gaining increasing prominence in companies worldwide. One of the practices that effectively embodies the principles of the Circular Economy is Industrial Symbiosis. The aim of this work is to compare different replenishment policies – push and pull – in the Symbiotic Supply Chain archetype. The results reveal that the pull policies offer more balanced performance across multiple indicators preserving consistent dynamic performance and efficient inventory management, also for high volume of waste.
A 4D grid based approach for efficient conflict detection in large-scale multi-UAV scenarios
(IEEE, 2019) Acevedo Báñez, José Joaquín; Rodríguez Castaño, Ángel; Andrade Pineda, José Luis; Ollero Baturone, Aníbal; Ingeniería de Sistemas y Automática; Organización Industrial y Gestión de Empresas I
This paper proposes an algorithm to detect conflicts among UAVs from a strategic point of view. The method is based on the representation of the airspace as a 4D grid of cells. Given a set of UAVs with their scheduled 4D trajectories (their flight plans), the whole scenario is discretized as a 4D grid and the problem is solved by filling the appropriate cell for each way-point from the trajectories and checking the neighboring cells. The proposed method is tested and compared against a traditional algorithm getting a significantly better performance. The proposed method also scales very well with increasing number of UAVs and way-points per trajectory.
Policies and decision models for solving elective case Operating Room scheduling
(IEEE, 2009) Molina Pariente, José Manuel; Framiñán Torres, José Manuel; Gómez Cía, Tomás; Organización Industrial y Gestión de Empresas I
Surgical cases constitute one of the most important activities in a hospital both from social and economics point of view. The most expensive facility involved in the surgical process is the Operating Room (OR), as it consumes between 10-15% of the budget in a hospital. Therefore, adequate decision-making for planning and scheduling ORs is of vital importance. This process can be decomposed in three phases: session panning problem (SPP), master surgical schedule (MSS) and elective case scheduling (ECS). In this paper, we focus on ECS, which serves to assign dates for surgery to all patients in the surgical unit's waiting list. In our model, patients must be operated before an exogenous deadline, while taking into account the different availability of surgeons. For this problem, we have developed a mixed integer programming model. We analyse two different policies corresponding to different surgical service models. In the P-S-OR policy, patients are first assigned to a surgeon and subsequently the set ldquopatient-surgeonrdquo is allocated to an OR shift. In the P-OR-S policy, patients are first assigned to an OR shift, and later a surgeon is assigned to each OR shift in the planning horizon. These two policies are tested using real surgical data from a surgical unit in a Spanish hospital. The results yielded by the P-OR-S policy suggest the latter to be more flexible than P-S-OR, as the patient doesn't have assigned a surgeon and therefore he/she does not depend on the surgeon's availability.
Application of Degradation and Optimization Models for digitization of Maintenance Management in Railway Infrastructures
(Elsevier, 2024-06) Rodríguez-Hernández, Mauricio ; González-Prida, Vicente; Sánchez Herguedas, Antonio Jesús; Crespo Márquez, Adolfo; Organización Industrial y Gestión de Empresas I; TEP134: Organización Industrial
This study presents an innovative methodology to improve the maintenance of railway infrastructures, integrating degradation models and economic optimization. The combination of a degradation model and a semi-Markovian model supported by the Weibull function, calculates the economically optimal degradation, to release the preventive intervention. The development of digital twins of assets and infrastructures makes possible the integration of online data and the incorporation of models that help the maintenance manager in decision-making. Organizations must determine the information to be collected from the assets. Transform the information into inputs for the models and, after their application, would allow them to identify the most economically favorable global maintenance scenarios. This work evolves the decision support on preventive maintenance implementation in the railway sector. From a decision table, used by railway managers, with three levels of risk established subjectively on an experimental basis, it evolves to the objective methodology, designed to determine the optimal degradation. The methodology can be applied to assets by maintenance managers but can also be incorporated into the digital twins. The case study illustrates the practical application of this methodology to the degradation of railway track sections. The research emphasizes the importance of data-driven decision-making for economic maintenance management. However, other priorities such as transportation safety and efficiency could complement the economic one.
Exploring MBSE for asset digitalisation in the energy sector. A Battery Energy Storage System design study
(Elsevier, 2024-06) Martínez Sillero, Celia; Guillén López, Antonio Jesús; López Domínguez, José; González-Prida, Vicente; Gómez Fernández, Juan Francisco; Organización Industrial y Gestión de Empresas I; Corporación Tecnológica de Andalucía; TEP134: Organización Industrial
This study explores an approach to improve the design process for complex systems in the energy industry, with a focus on how digitalisation-enhanced procedures and Model-Based System Engineering (MBSE) methodologies are assisting in their goals. The main purpose is to analyse how MBSE tools can be used for enhancing design and development. processes with special emphasis on Battery Energy Storage Systems (BESS). The use of digital technologies in the design process of complex systems expands the possibilities and ambitions of technological solutions. A complex system seeks to solve problems that address multiple areas of knowledge. For its design, collaboration in multidisciplinary teams is essential. The increase in the scope of projects makes it essential to formalize the integration of partial solutions in a System of Systems (SoS) that solves the general problem consistently and cohesively. In a more detailed case study, the present research applies System Composer from Mathworks for supporting requirements management, traceability, and system architecture design. Among the main findings of this contribution, it describes the use of MBSE and how it might integrate with digitalisation as well as servitization. Summarizing, this research states that the advantages of MBSE are the increase of efficiency in the internal processes, providing additional value in services to customers. In fact, there is a need for more research about the relationship of MBSE, digitalisation, and servitization.
Application of Digital Twin Technology for the Digitization of Railway Maintenance Services in compliance with European Regulation EU 779/2019
(Elsevier, 2024-06) Guillén López, Antonio Jesús; Sánchez Herguedas, Antonio Jesús; Rodríguez-Hernández, Mauricio ; Organización Industrial y Gestión de Empresas I; TEP134: Organización Industrial
This paper delves into the application of Digital Twin Technology (DTT) in the digitalization of assets, processes, and services to improve maintenance performance in railway applications in the context of European Regulation EU 779/2019. Digitalization plays a pivotal role in certifying the suitability of rolling stock in the railway sector. The primary objective of this study is to meticulously examine the fundamental tasks required to build a digital twin in this specific context. The process involves the contributions of key entities fulfilling specific roles: the maintenance and asset certification service provider ensures the integrity and compliance of rolling stock; specialists in IoT and process automation, along with experts in software platforms and services, are tasked with implementing the technological aspects of the digital twin. As a result, a methodology is proposed for the integration of digital design that combines three approaches: Service approach, platform architecture, and model-based asset digitalization. This paper delineates critical stages, from data acquisition and management to model creation and information integration, highlighting the crucial role of DTT in this process. Furthermore, the challenge of digitalization in situations where assets and processes are in an initial state of low or non-existent digitalization is underscored. A profound understanding of digital assets, information layers, and underlying models becomes crucial in the context of the current challenges of railway digitalization.
Asset Digitalization Strategy using IoT Platforms and Asset Health Model
(Elsevier, 2024) Candón, Eduardo; Crespo Márquez, Adolfo; Guillén López, Antonio Jesús; Gómez Fernández, Juan Francisco; López, José; Organización Industrial y Gestión de Empresas I; Corporación Tecnológica de Andalucía; TEP134: Organización Industrial
Despite technological advances in areas such as digital twins, we still face a significant challenge in asset digitization. This challenge lies in the precise and comprehensive determination of how assets adapt to the new management of complex systems that arise as a result of digitization. This gap in understanding and implementing asset digitization directly impacts the organization of information related to these assets. Digital assets are much more than mere pieces of machinery; they are crucial components in an interconnected digital ecosystem. Without a precise understanding of how these assets integrate and behave in this new digital environment, our decision-making and management capabilities are compromised. This can lead to operational inefficiencies, unnecessary costs, and ultimately a decrease in the quality of service and infrastructure reliability. This article focuses on addressing this challenge from an asset digitization-centered perspective. It provides a practical case of how we can advance in this space through the integration of various models. This includes the interpretation of how we define and categorize assets according to established standards, the assessment of the criticality of these assets, and the combination of Internet of Things (IoT)-based monitoring models with the Asset Health Index (AHI) model. This integration of models offers a holistic view of asset digitization, covering different levels of complex asset system management, and enables a better connection between real-time monitoring and a deeper, long-term understanding of asset condition and performance. The resulting synergy enhances the effectiveness of asset digitization strategies, especially in critical applications such as infrastructure management. A concrete example is presented in the article: the digitization of a bridge. This demonstrates how these practices can have a positive impact on asset management and maintenance in the context of digital transformation, contributing to improving the safety, efficiency, and reliability of our digital infrastructures.
Designing Smart Product-Service Systems: The SEEM-Smart Methodology and Its Application in the Electrical Industrial Sector
(Elsevier, 2024) Zani, Vanessa; González-Prida, Vicente; Arioli, Veronica; Sala, Roberto; Pirola, Fabiana; Guillén López, Antonio Jesús; Crespo Márquez, Adolfo; Organización Industrial y Gestión de Empresas I; TEP134: Organización Industrial
Regarding the implementation of smart technologies in Product Service Systems (PSS), this research proposes the SEEM-Smart Methodology as a model aimed at promoting innovations that provides better support for the development of Smart PSS. The methodology builds further by taking a data driven approach ensuring that both customer needs and company objectives are achieved. The research applies a case study approach studying the use of SEEM-Smart Methodology within the electrical industrial sector, specifically focusing on the analysis and conceptualization phases. This approach is characterized by its five interconnected phases: analysis of the customer needs, conceptualization of the PSS solution, design of PSS-related components, development and validation of the PSS proof of concept, and finally data monitoring. The results show that the SEEM-Smart Methodology is a useful approach to designing and engineering Smart PSS, indicating an organized, dynamic, iterative process facilitating ongoing enhancement. As a comprehensive design model that can be easily applied in the industrial context, the study finds that SEEM-Smart Methodology has significant value when it comes to Smart PSS. It fills gaps between customer orientation in the design and implementation of smart systems.
Industrial demand side flexibility: the case of the metallurgy sector in Spain
(Institute of Electrical and Electronics Engineers (IEEE), 2023-06) Dorado Galatoire, Erick Andrés; Arcos Vargas, Ángel; Martínez Ramos, José Luis; Ingeniería Eléctrica; Organización Industrial y Gestión de Empresas I; Ministerio de Ciencia e Innovación (MICIN). España
This paper analyzes the current situation of the final electricity demand in Spain, with emphasis on large consumers, and estimates the metallurgy flexibility potential, whose load curtailment capacity could be incorporated in the adjustment services markets to improve the physical operation of the electricity grid. To estimate the metallurgy load curtailment capacity, we use public information from a study carried out in France with the participation of important industrial agents, and actual data from Spain about the annual energy balance, and the sectoral evolution of electricity demand by large consumers, for the period from January 2010 to December 2021. The results show that the final electricity demand by large consumers represents 44.43% of the total final electricity demand in Spain, and metallurgy has the largest weight with an average annual demand of 21 632 GWh, and an estimated average load curtailment capacity of 1.66 GW, 1.61 GW and 1.39 GW for 30 minutes, 2 hours and 8 hours of duration respectively. The incorporation of demand response in electricity markets allows meeting the need for flexibility of the electricity grid, and for metallurgy represents a diversification of its sources of income, which could become an important business opportunity.
Permutation flowshop scheduling problem with total core idle time minimization
(Elsevier, 2022) Sánchez de los Reyes, Paula; Pérez González, Paz; Framiñán Torres, José Manuel; Organización Industrial y Gestión de Empresas I; Junta de Andalucía; Gobierno de España; TEP134: Organización Industrial
In this paper, we present a deterministic permutation flowshop scheduling problem with a new objective function, the total core idle time. The interest of this objective is related to reduce the energy consumption of the system, taking into account that the energy needed during the processing times is constant, and that machines are switched off during the front and back idle times. Therefore, the energy consumption is dependent on the time where machines are in stand-by mode, i.e during the idle time of machines between jobs, named as core idle times. Constructive heuristics and metaheuristics are adapted from the permutation flowshop scheduling literature for classical objectives as makespan and total completion time. Additionally, a new variant of one of the metaheuristic is proposed, the VBIH-P. An experimental evaluation has been carried out to analyse the performance of all the methods. The results show an excellent performance of the VBIH-P compared to the adapted methods.

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