Artículos (Organización Industrial y Gestión de Empresas I)

URI permanente para esta colecciónhttps://hdl.handle.net/11441/11402

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Combining Simulation and Gradient Boosted Trees for the Stochastic Permutation Flowshop Scheduling Problem
(Wiley, 2025-12) Framiñán Torres, José Manuel; Organización Industrial y Gestión de Empresas I; Ministerio de Ciencia e Innovación (MICIN). España; Agencia Estatal de Investigación. España; European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER); European Union (UE)
In this paper, we address a stochastic variant of the well-known permutation flowshop scheduling problem, where the processing times of the jobs in the machines are assumed to be random variables. The objective considered is to minimise the expected makespan. This problem is substantially harder than its deterministic counterpart, as—except for a few special cases involving rather restrictive hypotheses—there is no closed formula to obtain the expected makespan of a given solution. Therefore, for most cases, it is necessary to estimate its expected value by sampling and averaging the results across a large number of replications. Furthermore, it has been shown that the number of replications required to obtain a reasonable estimate increases with the variability of the instance. In practice, this imposes extremely high computational costs for evaluating a solution, making it difficult to apply local search methods to instances of realistic size. Our proposal is to embed a machine learning technique (more specifically, gradient boosted trees or GBT) into a GRASP (greedy randomised adaptive search procedure) to compute a probabilistic threshold so it is possible to discard solutions with low probability of improving the actual best solution. The computational experience carried out shows that (1) the GBT is able to provide rather accurate estimates of the expected makespan even with a modest training effort and that its accuracy is not essentially influenced by the variability of the scenario and (2) the proposed procedure is able to produce the same quality of results as using the full sample of each solution, reducing the number of evaluated solutions by roughly 15%.
Agentic AI for autonomous preventive maintenance policy governance: a multi-agent framework for dynamic industrial environments
(Elsevier, 2026-06) Crespo Márquez, Adolfo; Gómez Fernández, Juan Francisco; Organización Industrial y Gestión de Empresas I
Agentic Artificial Intelligence (Agentic AI) is emerging as a practical paradigm for coordinating autonomous decision workflows in industrial asset management. This paper proposes an event-driven multi-agent architecture for preventive maintenance (PM) policy governance, implementing a closed-loop cycle that ingests maintenance data, re-estimates reliability under right-censoring, optimizes preventive replacement intervals through deterministic cost–time efficiency evaluation, and produces stakeholder-oriented explanations of the selected policy. The framework has been implemented both as an academic prototype in Python, enabling controlled experimentation under censored and non-stationary conditions, and as a realistic industrial architecture, where the agentic layer operates as a supervisory system integrated with enterprise maintenance platforms. Specialized agents (scenario/data, Weibull fitting, numerical optimization, orchestration, and explanation) interact through asynchronous JSON messaging, ensuring traceability and auditability. Importantly, the policy decision is computed exclusively through statistical estimation and numerical optimization, while the large language model is strictly confined to explainability and governance, translating quantitative evidence into human-readable justifications. The results show that, under changing failure regimes and cost structures, preventive maintenance intervals can be autonomously revised while preserving transparency and reproducibility, supporting the feasibility of Agentic AI for continuous PM policy management in Maintenance 4.0 environments. The contribution of this work is architectural and procedural: it demonstrates how preventive maintenance policy governance can be operationalized as an autonomous, and explainable decision process, without altering existing reliability estimation or optimization methods.
Influence of the input load on the reliability of the grinding line a case study applied to the mining industry
(Publicaciones Dyna, 2014-09) Barberá Martínez, Luis; Viveros, Pablo; Mena, Rodrigo; González-Prida, Vicente; Organización Industrial y Gestión de Empresas I; Ministerio de Ciencia e Innovación (MICIN). España; European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER); European Union (UE)
The management of physical resources in an organization involves several processes related to innovation and continuous improvement. For this reason, the proper study of the reliability and maintainability analysis is considered essential and is treated as one of the main pillars for decision-making at the tactical and operational levels. This paper proposes a useful support tool for decision-making in the field of maintenance management and reliability analysis, so that such decisions remain aligned with the vision, strategy and economic indicators of the business or industrial organization. This research clearly shows how the variability of different load levels (inflows) on the grinding lines, affects the reliability of a specific sulphur plant (located in Chile), determining after that, what the optimum load should be. The paper identifies the relationship between each line load ranges and the corresponding reliability, all through the development of a real case study conducted in a mining company located in northern Chile.
Warranty period calculation after the repair of a complex industrial asset applying non-homogeneous poisson processes
(Publicaciones Dyna, 2012-11) González-Prida, Vicente; Barberá Martínez, Luis; Crespo Márquez, Adolfo; Parra Márquez, Carlos; Organización Industrial y Gestión de Empresas I; European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER); Ministerio de Ciencia e Innovación (MICIN). España
This paper seeks to address the decision process involved in setting a warranty length for a product after successive repairs are performed. For that purpose, the paper starts describing briefly the warranty perspective and introducing the relevant literature related to Life Cycle Cost Analysis (LCCA). Then, the main aspects of LCCA are defined in order to be applied for the calculation of the warranty period in a product which has been sold and requires a technical assistance for its repair. This work includes as a novelty the calculation of such period of time in relationship with the risk that the company is willing to assume. The result is a procedure that may be crucial for a maintenance company, not only to make better forecasts of future warranty costs but also as an important marketing tool. With this goal, this paper describes a mathematical development which will be illustrated with a case study divided in two exercises, where the above mentioned concepts are applied to calculate the proper warranty period for a specific repaired product. Finally, the conclusions are presented summarizing the main contributions of the paper.
A framework for warranty management in industrial assets
(Elsevier, 2012-12) González-Prida, Vicente; Crespo Márquez, Adolfo; Organización Industrial y Gestión de Empresas I; Ministerio de Ciencia e Innovación (MICIN). España; European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)
The objective of this paper is to suggest a management framework for a better organization of warranty assistance, using engineering techniques already developed for similar processes and according to a process-based quality management system. Therefore, a generic framework is presented that integrates management methodologies which will be gathered in four sequential steps, where each different technique will play a crucial role. Following this scheme, a supporting framework for the management of a warranty program is defined. This offers a practical vision of the set of activities that each warranty management process consists of and focuses on the relationship between manufacturer and user. By reengineering managerial processes and/or by the application of a correct warranty management system it is possible to have a greater influence on product design and manufacturing, increasing product quality by sharing and boosting the information flow about product defects, their sources and possible solutions. The result of the study is, in short, a classification of different engineering tools, focused mainly on warranty and product management. In addition to this it also demonstrates how aspects of maintenance and manufacturing can be enhanced before finally discussing briefly the proper use of each tool according to the available data or information. All this is illustrated through a comprehensive representation that will help the reader to understand in a practical way, the different information inputs/outputs among the proposed steps.
A practical method for the maintainability assessment in industrial devices using indicators and specific attributes
(Elsevier, 2012-04) Moreu de León, Pedro; González-Prida, Vicente; Barberá Martínez, Luis; Crespo Márquez, Adolfo; Organización Industrial y Gestión de Empresas I
The objective of this paper is to describe a procedure to obtain maintainability indicators for industrial devices. This analysis can be helpful, among other cases, to compare systems, to achieve a better design regarding maintainability requirements, to improve this maintainability under specific industrial environment and to foresee maintainability problems due to eventual changes in a device operation conditions. This maintainability assessment can be carried out at any stage of the industrial asset life cycle. With this purpose, this work first introduces the notion of maintainability and the implementation of assessment indicators, including some important requirements to perform that. Then, a brief literature review is presented, including the definition of the main concepts, which are later used in the paper. After studying the maintenance levels and the maintainability attributes, both terms are linked, leading all this analysis to the assessment of the maintainability indicators. It follows a discussion about the information obtained through the maintainability assessment process and its computation into several maintainability indicators. The paper includes a case study, which implements the defined assessment into a practical scenario. Finally, the work concludes summarizing the more significant aspects and suggesting future researches.
Contractual and quality aspects on warranty: Best practices for the warranty management and its maturity assessment
(Emerald, 2012-03) González-Prida, Vicente; Barberá Martínez, Luis; Gómez Fernández, Juan Francisco; Crespo Márquez, Adolfo; Organización Industrial y Gestión de Empresas I; Ministerio de Ciencia e Innovación (MICIN). España
Purpose The purpose of this paper is to present a brief summary of quality and contractual aspects for the improvement of the warranty management. Together with this, the present work will show also some of the best practices followed by companies in order to manage properly those kinds of issues related to warranty, as well as some indications to assess the implementation degree of such practices in the whole organization. Basically, the global objective of the study is to present to the reader and in few words the importance of taking into account legal and quality aspects, when a company offers a technical service for the warranty assistance of any of its products, together with the maturity level that this company achieves applying some best practices currently available. Design/methodology/approach The study starts by mentioning some antecedents related to warranty, in order to summarize a reference framework, proposed for proper warranty management, and how the information exchange should be performed among the different departments of a generic company. Then, it will be suggested how to apply this according to a strategic management which is divided in phases, taken from the product life cycle concept: Front‐end, Design and Development, Production, Marketing, and Post‐sale Support. These phases are included in three higher stages considered as Pre‐Launch stage, Launch and Post‐Launch stage, where different decisions play important roles. Afterwards, it will be shown how warranty management is viewed from the contract and legal point of view, in order to link the above mentioned topics on generic management, with those best practices currently presented in actual markets. Finally, once analysed, all those aspects related to best practices and its application on the reference framework, it is required now to quantify how a company manages the warranty assistances by a maturity assessment on warranty management. Findings The paper observes what today's companies are doing in this field, that is, their best practices in warranty management covering the quality and contractual aspects already mentioned, in order to round off the development of a completed framework for such management. Originality/value The paper presents a review, a framework and a practical application of the framework for the management of warranty contracts, including a maturity assessment or evaluation.
Practical application of an Analytic Hierarchy Process for the improvement of the warranty management
(Emerald, 2011-05) González-Prida, Vicente; Gómez Fernández, Juan Francisco; Crespo Márquez, Adolfo; Organización Industrial y Gestión de Empresas I
Purpose This paper will be focused in one of the stages included in a reference framework proposed for the improvement of the warranty management. Particularly, the Analytic Hierarchy Process (AHP) is a multi‐criteria decision‐making method that will be depicted throughout this document and applied to a particular case study. Design/methodology/approach Once the warranty program objectives and strategy are defined, the referred stage here considered will be the Criticality Analysis. Those decisions and actions taken from the warranty program will involve the possibility of a certain deviation from business objectives in terms of profit losses, redirection of resources, possible delays etc., or the use of assembly pieces as spares, among others. Findings The application is required of a technique which helps systematically to decide which assets should have priority related to the management of the warranty program, in accordance of course with the existing program strategy. Practical implications The paper will show how this method can help and improve the decision‐making related to some aspect of the warranty management, obtaining as a result a criticality matrix, which offers a prioritized view of warranty issues, which allow us to align after sales actions with the business targets. Originality/value This paper aims to explore different aspects related to the Analytic Hierarchy Process (AHP), which can influence in the management of warranty assistances. In the process of warranty management for a specific product, many decisions and actions appear presenting a great impact on the total cost of the product warranty service. The paper contains an example study where AHP concepts are applied in a simple way in order to provide a practical application view of the theoretical development, useful to after sales managers as a decision‐making tool.
Exploring Organizational Commitment as a Driver of Administrative Management in Local Public Institutions: Insights from a Low- and Middle-Income Country Governance Context
(Multidisciplinary Digital Publishing Institute (MDPI), 2026-02) Moreno-Menéndez, Fabricio Miguel; Tapia-Silguera, Ruben Darío; González-Prida, Vicente; Sánchez-Guzmán, Carlos Rosario; Via-Rada-Vittes, José Francisco; Sánchez-Mattos, Waldir Alexis; Poma-Lagos, Luis Alberto; Gutiérrez-Meza, Fredi Paul; Organización Industrial y Gestión de Empresas I
Administrative strategies are essential for ensuring efficiency and effectiveness in public institutions, particularly in the context of low- and middle-income countries where governance challenges and resource constraints persist. This study analyzes the relationship between organizational commitment and administrative management in a local public financial institution in Peru. Drawing on Meyer and Allen’s three-component model of commitment (affective, continuance, and normative) and classical administrative theory (planning, organizing, directing, and controlling), the research explores how psychosocial drivers influence perceptions of administrative practices. A cross-sectional, quantitative, non-experimental design was applied, surveying 31 employees using validated Likert-scale questionnaires. Fieldwork was conducted from January to June 2024. Non-parametric correlation analysis revealed a strong and statistically significant positive association between organizational commitment and administrative management (Spearman’s rho = 0.661, p < 0.01). Normative commitment was the most influential dimension, underscoring the role of loyalty and ethical obligation in sustaining perceived administrative management. These findings highlight the importance of strengthening human capital and organizational commitment as part of administrative strategies for institutional development. The study contributes to debates on governance and public sector reform by emphasizing how organizational dynamics in local institutions can shape broader trajectories of economic growth and development in emerging contexts.
Storage deployment and its impact on wholesale electricity prices
(Elsevier, 2026-06) Alonso Pérez, Javier Florencio; Arcos Vargas, Ángel; Ingeniería Eléctrica; Organización Industrial y Gestión de Empresas I; Ministerio de Ciencia, Innovación y Universidades (MICIU). España; European Union (UE)
The European Union’s ambitious renewable energy targets highlight the pivotal role of Battery Energy Storage Systems (BESS) in mitigating the inherent variability of renewable generation and matching it to fluctuating electricity demand. This paper analyzes how storage capacity additions influences day-ahead electricity prices through a deterministic Real-Time Optimization model that replicates the strategic behavior of market producers. The model incorporates day-ahead bidding curves as proxies for price–demand elasticity and accommodates alternative producer strategies, both price-taking and price-making behaviors. Its output includes projected market prices and the revenues of storage operators in the day-ahead market, excluding other potential income streams. By comparing these projections with investment parameters, the study provides insights into the economic viability of storage expansion scenarios proposed in national energy plans. The methodology is applied to the Spanish electricity system using 2024 market data.
An analysis of the Supply Chain Dynamics of Remanufacturing with Multiple Collectors
(Elsevier, 2024) Framiñán Torres, José Manuel; Organización Industrial y Gestión de Empresas I; Ministerio de Educación y Ciencia (MEC). España; TEP134: Organización Industrial
This paper addresses how decisions related to the collection of used products (namely the location and number of collection sources) affect the dynamic performance of the remanufacturer. More specifically, we address the case where a manufacturer produces both new and remanufactured, as-good-as-new, products and delivers them to the final customers via supplier(s). A percentage of these products is collected at the end of their life by multiple collection sources –either the suppliers, third-parties in charge of the collection, or a combination of both– that, after a collection lead time, bring them back to the manufacturer to be restored. In this scenario and assuming an optimal operation of all nodes in the supply chain, we derive an exact formulation of the so called bullwhip effect, i.e. the amplification of the order variance experienced by the manufacturer as compared to that of the final customer demand. The analysis of the so-obtained formula highlights the importance of the collection lead times (which may be employed as a proxy of the location of the collection source), as only the number of collection sources with different collection lead times is relevant in terms of bullwhip effect, being irrelevant how collection sources with the same collection lead times allocate their collection quotas of end-of-life products among themselves. An expression for the optimal allocation (in terms of bullwhip minimization) of the collection quotas of end-of-life product to each collection source is given, showing the positive effect of increasing the number of groups of collection sources with different collection lead times. In order to reap these benefits, it is required to perform a balanced allocation of the collection of end-of-life products among these groups. These results offer a number of managerial insights for the design of a collection system for the end-of-life products in a remanufacturing setting from a dynamic performance perspective.
Inequality of Exposure to HRM Systems and Individual Performance: Evidence from a Hybrid Public Workforce
(Multidisciplinary Digital Publishing Institute (MDPI), 2025-12) Palomino-Lavado, Chris E.; Espinoza-Quispe, Luis E.; Barzola Inga, Sonia Luz; Díaz-Urbano, Richard Víctor; Sánchez-Guzmán, Carlos Rosario; Sánchez-Mattos, Waldir Alexis; Adauto-Justo, Carlos A.; González-Prida, Vicente; Organización Industrial y Gestión de Empresas I
This study examines whether an integrated human-talent system—incorporating recruitment/selection, development, appraisal/feedback, recognition, supportive leadership, and role utilization—is associated with job performance in a public technical organization. Using a quantitative, non-experimental, cross-sectional design, we surveyed 101 employees and constructed composite Likert indices for talent management and job performance. Reliability was acceptable (α = 0.850; α = 0.814). Kolmogorov–Smirnov tests indicated non-normal distributions (p < 0.001); thus, non-parametric procedures were used. Spearman’s correlation showed a moderate, positive association between overall talent management and job performance (ρ = 0.523, p < 0.001), with the “incorporate” process (competency-aligned recruitment/selection) displaying the strongest process-level link (ρ = 0.569, p < 0.001). Segment profiles (contract type, tenure, functional area, and gender) suggest unequal exposure to talent-supportive conditions within the workforce, which may help explain distributional differences in perceived performance. We discuss managerial implications for reducing intra-organizational disparities by ensuring fair access to development, feedback, and recognition systems. While the study does not directly measure well-being, the findings align with theoretical accounts that connect equitable access to talent resources with healthier work environments and better performance.
Leadership-Proximal Climate and Job Satisfaction in Local Government: An HR-Oriented Diagnostic
(Multidisciplinary Digital Publishing Institute (MDPI), 2025-11) Moreno-Menéndez, Fabricio Miguel; Tapia-Silguera, Ruben Darío; Sánchez-Guzmán, Carlos Rosario; Silva-Infantes, Manuel; Sánchez-Mattos, Waldir Alexis; Polo-Orellana, Fernando; Díaz-Urbano, Richard Víctor; González-Prida, Vicente; Organización Industrial y Gestión de Empresas I
This study examines whether overall organizational climate (OC) and its five dimensions are positively associated with job satisfaction (JS) in a municipal administration. We conducted a cross-sectional, non-experimental, correlational survey using validated Likert-type instruments for OC (26 items; five dimensions) and JS (14 items), applying distribution-aware, non-parametric analyses (Shapiro–Wilk, Spearman’s ρ, two-sided p-values). The municipal workforce comprised N ≈ 143 employees (context frame); inferential estimates are reported for the OGAF analytic sub-sample (n = 35). OC was positively associated with JS. At the dimension level, communication and supervision aligned closely with JS, alongside self-realization; working conditions and job involvement showed positive but comparatively smaller associations. Findings translate into a decision-oriented lever map for HR in local government: institutionalize transparent two-way communication, develop coaching-oriented supervision, enhance job design for self-realization, and address salient working-condition gaps. Scope of inference is limited to the analytic sample reported. Future research should re-estimate the full frame and across units to improve generalizability.
Optimizing Green Hydrogen Cost with PV Energy and Storage
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Arcos Presedo, María Cruz; Arcos Vargas, Ángel; Organización Industrial y Gestión de Empresas I
This work develops a replicable method for designing the optimal renewable hydrogen production facility, applicable to any site and based on technical parameters and actual equipment costs. The solution is based on the integration of photovoltaic (PV) energy with lithium-ion battery storage systems, which maximizes electrolyzer operating hours and significantly reduces the Levelized Cost of Hydrogen (LCOH). This study shows that increasing the inclination of the photovoltaic modules reduces the need for storage, optimizing operation and extending the electrolyzer’s annual operating hours. In the Seville case study, with current costs and efficiencies, a minimum LCOH of €4.43/kg was achieved, a value well below market benchmarks, opening the door to a potentially competitive industrial business. The analysis confirms that electrolyzer efficiency—particularly specific power consumption—is the most important factor in reducing costs, while technological progress in photovoltaics, storage, and equipment promises further reductions in the coming years. Overall, the proposed methodology offers a practical and scalable tool to accelerate the economic viability of green hydrogen in a variety of contexts.
Workload control in dual-resource constrained flexible job shops: a simulation analysis
(Taylor & Francis, 2025) Calle Suárez, Marcos; González Rodríguez, Pedro Luis; Andrade Pineda, José Luis; León Blanco, José Miguel; Canca Ortiz, José David; Organización Industrial y Gestión de Empresas I
Within the manufacturing environments of Dual-Resource Constrained Job Shop (DRCJS), where both workstations and workers face limitations, there is a category of scenarios known as Dual-Resource Constrained Flexible Job Shop (DRCFJS). In these common industrial manufacturing environments, operations can be carried out on any workstation and performed by any worker within a compatible set. While the DCRFJS environment has been extensively explored in the domain of production sequencing, it has not been thoroughly investigated within the framework of a Workload Control (WLC) system. The aim of this work is to study the performance of adapting the WLC system to DRCFJS environments. The findings emphasise the significant impact of the resource allocation rule during the release stage, surpassing the influence of dispatching rules and worker transfers between workstations. Additionally, the implementation of a real-time response mechanism, crucial to prevent workstations from idling due to the occupancy of assigned workers in other jobs currently in progress, is very important in modern manufacturing. Furthermore, our research demonstrates that concurrent control of these two critical factors ensures robust performance, regardless of the workload norm. This dual control approach facilitates the adaptation and effective operation of the WLC system in DRCFJS environments.
Role of haptic feedback technologies and novel engineering developments for surgical training and robot-assisted surgery
(Frontiers Media, 2025-06) Laga Boul-Atarass, Imán; Rubio Manzanares Dorado, Mercedes; Padillo Eguía, Andrés; Racero Moreno, Jesús; Eguía Salinas, Ignacio; Pereira Arenas, Sheila; Jiménez Rodríguez, Rosa María; Padillo Ruiz, Francisco Javier; Organización Industrial y Gestión de Empresas I; Ministerio de Sanidad y Consumo. España; TEP216: Tecnologías de la Información e Ingeniería de Organización
Haptic feedback, or tactile perception, is presented by many authors as a technology that can greatly impact biomedical fields, such as minimally invasive surgeries. Laparoscopic interventions are considered the gold standard for many surgical interventions, providing recognized benefits, such as reduced recovery time and mortality rate. In addition to this, the advances in robotic engineering in the last few years have contributed to the increase in the number of robotic and tele-operated interventions, providing surgeons with fewer hand tremors and increased depth perception during surgery. However, currently, both techniques are totally or partially devoid of haptic feedback. This added to the fact that the skill acquisition process to be able to use these technologies shows a pronounced learning curve, has propelled biomedical engineers to aim to develop safe and realistic training programs using simulators to address surgical apprentices' needs in safe environments for the patients. This review aims to present and summarize some of the latest engineering advances reported in the current literature related to the development of haptic feedback systems in surgical simulators and robotic surgical systems, as well as highlight the benefits that these technologies provide in medical settings for surgical training and preoperative rehearsal.
Methodological design of a digital twin architecture in advanced surgery applied to the treatment of enteroatmospheric fistula
(Elsevier, 2025-06) Padillo Eguía, Andrés; Racero Moreno, Jesús; Molina Gómez, José Carlos; Eguía Salinas, Ignacio; Padillo, Javier; Organización Industrial y Gestión de Empresas I; TEP216: Tecnologías de la Información e Ingeniería de Organización
This research describes the design of an integrated model system to address the monitoring, treatment, and evolution of a pathology throughout its life cycle (LCP, Life Cycle Pathology) based on the Digital Twin (DT) concept, showing the capabilities of the system and the possibilities that it offers in the treatment of the pathology in an integrated way. The concept of DT in the field of medicine is a relatively recent concept. Its application is mainly focused on very reduced areas, such as prosthesis development and simulation of the cardiovascular system mainly. The DT con-cept allows the integration of simulation tools, diagnosis, & treatment, and follow up of pathologies, adapting all of them to the disease and patient. Therefore, so its inclusion in the medical field permits a personalization and creates a source of knowledge in the treatment of diseases. This research, as an application, will address the management of enteroatmospheric fistula (EAF), an uncommon pathology framed within advanced abdominal wall surgery, with a mortality rate close to 40%. To achieve this purpose, the direct and/or indirect variables associated with each patient must be considered in order to control, simulate, and evaluate the pathology Through the combination and collection of the physical information provided by the patient combined with the virtual information offered by the technology (DT); with the aim of being able to anticipate the real changes suffered throughout the LCP; predicting its behaviors and facilitates the surgeons decision-making on the treatment and management of the fistula.
Social Welfare Preferences and Sustainable Development Goals. A Multivariate Analysis Approach
(Wiley, 2025) Liashenko, Oksana; Caraballo, M. Ángeles; Lozano Segura, Sebastián; Economía e Historia Económica; Organización Industrial y Gestión de Empresas I; European Union; Ministerio de Ciencia, Innovación y Universidades (MICIU). España
This paper explores the interrelationship between individual social welfare preferences (SWPs) and sustainable development goals (SDGs). Social welfare preferences are measured through the World Values Survey. To illustrate the proposed approach, we focus on SDG 6, which aims to ensure clean water and sanitation for all. More specifically, SDG progress is measured through SDG Target 6.4. The methodology employed is mainly based on Discriminant Analysis, Factor Analysis, Canonical Correlation Analysis, and Cluster Analysis. First, individuals are categorized according to their SWPs and an analysis of the interrelation- ships between these SWP types is carried out. In a second step, the relationships between SWP types and several sustainability- related variables are also analyzed. The results show the existence of heterogeneity in SWPs both within each country and across countries. They also show that the different SWPs are interrelated both among themselves and with the sustainability variables. The latter confirms the hypothesis that the sustainability outcomes of the countries and their progress toward the SDGs are related to the prevailing SWPs in their respective societies. This indicates the need to design effective and inclusive strategies that align with the diverse attitudes and values within society, thereby ultimately leading to outcomes of a more sustainable and impactful nature. Moreover, the existence of various groups of countries as regards their SWPs suggests that specific policies and initiatives should be developed for each group and shared within each group. Finally, the proposed methodology can also be applied to other SDGs and SDG targets.
The cost of ancillary services in high PV penetration scenarios: the case of Spain
(Elsevier, 2025) Alonso Pérez, Javier Florencio; Arcos Vargas, Ángel; Martínez Ramos, José Luis; Organización Industrial y Gestión de Empresas I; Ingeniería Eléctrica; Ministerio de Ciencia, Innovación y Universidades (MICIU). España
Renewables should reach a 42.5 % share of total energy consumption by 2030 to meet the EU agenda, which translates to 75–80 % of the electricity generation mix for intermittent renewable resources (wind, solar…). In this context, running out-of-merit thermal power plants just to provide ancillary services (AS) has undesirable side effects, namely: increased supply cost and CO2 emissions, and reduced renewables share in the mix. This article proposes a methodology to compare the impact of AS provision in future scenarios with high renewables penetration, mainly photovoltaics (PV), under two different alternatives: 1) AS fully provided by conventional power plants, as is done today; and 2) AS provided by renewable sources, according to marginal market criteria. The future scenarios are built considering the current generation portfolio plus additional wind, PV and battery storage facilities, all of them competing with the marginal thermal technology (combined cycles). The methodology is applied to the Spanish case, keeping in mind the revised National Energy and Climate Plan for 2030. In conclusion, a series of recommendations are made regarding ancillary service provision and storage deployment.
A speed-up procedure and new heuristics for the classical job shop scheduling problem: A computational evaluation
(Elsevier, 2025-05) Fernández-Viagas Escudero, Víctor; Talens Fayos, Carla; Prata, Bruno A.; Organización Industrial y Gestión de Empresas I; Instituto de Salud Carlos III; Ministerio de Ciencia e Innovación (MICIN). España; Coordination for the Improvement of Higher Education Personnel (Brazil); National Council for Scientific and Technological Development (Brazil)
The speed-up procedure proposed for the permutation flowshop scheduling problem with makespan minimisation (commonly denoted as Taillard’s acceleration) remains, after 30 years, one of the most important and relevant studies in the scheduling literature. Since its proposal, this procedure has been included in countless approximate optimisation algorithms, and its use is mandatory for several scheduling problems. Unfortunately, despite the importance of such a procedure in solving scheduling problems, we are not aware of any related speed-up procedure proposed for the classical job-shop scheduling problem. First, this study aims to fill this gap by proposing a novel speed-up procedure for the job-shop scheduling problem with makespan minimisation, capable of reducing the complexity of insertion-based procedures times. Second, to test its performance, the procedure is embedded in a critical-path-based local search method. Furthermore, we thirdly propose five constructive and composite heuristics to obtain high-quality solutions in short time intervals. The composite heuristics apply the previous procedure to reduce their computational efforts. Finally, to complete the study, we conduct an extensive computational evaluation on 243 test instances from eight distinct benchmarks. In this evaluation, 30 heuristics are re-implemented and compared under the same computer conditions. The results indicate the superiority of the proposed approaches compared to the competitive algorithms for the problem under study.

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