Person: Torre, Rocío de la
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Torre
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Rocío de la
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Gestión de Empresas
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0000-0002-8662-8901
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811619
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Publication Open Access Analysing the relationship between QM, performance appraisal and pay for performance(Routledge, 2021) Bayo Moriones, José Alberto; Torre, Rocío de la; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE; Gestión de EmpresasThe purpose of this paper is to analyse the relationship between quality management, performance appraisal and pay for performance in a sample of 203 manufacturing plants (including firms that do not apply quality management) in Spain employing at least 20 workers. We make a distinction between collaboration with suppliers, customer focus and the use of quality tools. This consideration of quality management as multidimensional will help to disentangle the complex interrelationships with performance appraisal and pay for performance. Our findings point to a positive association of customer focus, collaboration with suppliers and quality tools with performance appraisal evaluating results and behaviours. Regarding pay for performance, closer collaboration with customers is positively related to individual pay for performance. The use of quality tools is positively related to individual and firm pay for performance. The managerial implications point out that there is still room for improving the effectiveness of quality initiatives by incorporating changes in pay for performance and performance appraisal oriented to the adaptation to the principles of quality management. From the theoretical perspective, our paper underlines the importance of not considering quality management as a unidimensional reality when examining its relationship with other management practices.Publication Embargo Pushing limits in higher education: inclusion services' perspectives on supporting students with learning disabilities in Spanish universities(Taylor and Francis, 2023) Torre, Rocío de la; Calleja, Gema; Erro Garcés, Amaya; Gestión de Empresas; Enpresen KudeaketaThe unprecedented growth of universities in recent years has meant that there are more students with learning disabilities attending courses. Consequently, universities have had to adapt, improve and create new resources to ensure greater inclusivity. These resources, their design, and development are managed by inclusion support services, aiming to the full inclusion of students with disabilities and the promotion of community awareness. This article aims to shed light on the current role of inclusion services in supporting students with learning disabilities, and the link these services have with the different university stakeholders, using a thematic analysis from the experiences of this services staff in eight Spanish universities. The results show that: i) there is no uniformity in the support services; and ii) more resources and work are needed to ensure increased inclusion and awareness. The discussion and conclusions drawn highlight the trends, challenges, and opportunities for universities improving their inclusion.Publication Open Access On the use of biased-randomized algorithms for solving non-smooth optimization problems(MDPI, 2020) Juan Pérez, Ángel Alejandro; Corlu, Canan Gunes; Tordecilla, Rafael D.; Torre, Rocío de la; Ferrer, Albert; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE; Gestión de EmpresasSoft constraints are quite common in real-life applications. For example, in freight transportation, the fleet size can be enlarged by outsourcing part of the distribution service and some deliveries to customers can be postponed as well; in inventory management, it is possible to consider stock-outs generated by unexpected demands; and in manufacturing processes and project management, it is frequent that some deadlines cannot be met due to delays in critical steps of the supply chain. However, capacity-, size-, and time-related limitations are included in many optimization problems as hard constraints, while it would be usually more realistic to consider them as soft ones, i.e., they can be violated to some extent by incurring a penalty cost. Most of the times, this penalty cost will be nonlinear and even noncontinuous, which might transform the objective function into a non-smooth one. Despite its many practical applications, non-smooth optimization problems are quite challenging, especially when the underlying optimization problem is NP-hard in nature. In this paper, we propose the use of biased-randomized algorithms as an effective methodology to cope with NP-hard and non-smooth optimization problems in many practical applications. Biased-randomized algorithms extend constructive heuristics by introducing a nonuniform randomization pattern into them. Hence, they can be used to explore promising areas of the solution space without the limitations of gradient-based approaches, which assume the existence of smooth objective functions. Moreover, biased-randomized algorithms can be easily parallelized, thus employing short computing times while exploring a large number of promising regions. This paper discusses these concepts in detail, reviews existing work in different application areas, and highlights current trends and open research lines.Publication Open Access Urban e-grocery distribution design in Pamplona (Spain) applying an agent-based simulation model with horizontal cooperation scenarios(MDPI, 2021) Serrano Hernández, Adrián; Torre, Rocío de la; Cadarso, Luis; Faulín Fajardo, Javier; Institute of Smart Cities - ISC; Institute for Advanced Research in Business and Economics - INARBEE-commerce has boosted in the last decades because of the achievements of the information and telecommunications technology along with the changes in the society life-style. More recently, the groceries online purchase (or e-grocery), has also prevailed as a way of making the weekly shopping, particularly, the one including fresh vegetables and fruit. Furthermore, this type of virtual shopping in supermarkets is gaining importance as the most efficient delivery system in cost and time. Thus, we have evaluated in this study the influence of the cooperation-based policies on costs and service quality among different supermarkets in Pamplona, Spain. Concerning methodology, first of all, we carried out a survey in Pamplona having the purpose of modelling the demand patterns about e-grocery. Second, we have developed an agent-based simulation model for generating scenarios in non-cooperative, limited cooperation, and full cooperation settings, considering the real data obtained from the survey analysis. At this manner, Vehicle Routing Problems (VRP) and Multi Depot VRPs (MDVRP) are dynamically generated and solved within the simulation framework using a biased-randomization algorithm. Finally, the results show significant reductions in distance driven and lead times when employing horizontal cooperation in e-grocery distribution.Publication Open Access Agent-based simulation improves e-grocery deliveries using horizontal cooperation(IEEE, 2020) Serrano Hernández, Adrián; Faulín Fajardo, Javier; Torre, Rocío de la; Cadarso, Luis; Estatistika, Informatika eta Matematika; Enpresen Kudeaketa; Institute of Smart Cities - ISC; Institute for Advanced Research in Business and Economics - INARBE; Estadística, Informática y Matemáticas; Gestión de EmpresasE-commerce has increased tremendously in recent decades because of improvements in the information and telecommunications technology along with changes in societal lifestyles. More recently, e-grocery (groceries purchased online) including fresh vegetables and fruit, is gaining importance as the most-efficient delivery system in terms of cost and time. In this respect, we evaluate the effect of cooperation-based policies on service quality among different supermarkets in Pamplona, Spain. Concerning the methodology, we deploy, firstly, a detailed survey in Pamplona in order to model e-grocery demand patterns. Secondly, we develop an agent-based simulation model for generating scenarios in cooperative and non-cooperative settings, considering the real data obtained from the survey analysis. Thus, a Vehicle Routing Problem is dynamically generated and solved within the simulation framework using a biased-randomization algorithm. Finally, the results show significant reductions in lead times and better customer satisfaction when employing horizontal cooperation in e-grocery distribution.Publication Open Access Optimizing energy consumption in transportation: literature review, insights, and research opportunities(MDPI, 2020) Corlu, Canan Gunes; Torre, Rocío de la; Serrano Hernández, Adrián; Juan Pérez, Ángel Alejandro; Faulín Fajardo, Javier; Institute for Advanced Research in Business and Economics - INARBE; Institute of Smart Cities - ISCFrom airplanes to electric vehicles and trains, modern transportation systems require large quantities of energy. These vast amounts of energy have to be produced somewhere—ideally by using sustainable sources—and then brought to the transportation system. Energy is a scarce and costly resource, which cannot always be produced from renewable sources. Therefore, it is critical to consume energy as efficiently as possible, that is, transportation activities need to be carried out with an optimal intake of energetic means. This paper reviews existing work on the optimization of energy consumption in the area of transportation, including road freight, passenger rail, maritime, and air transportation modes. The paper also analyzes how optimization methods—of both exact and approximate nature—have been used to deal with these energy-optimization problems. Finally, it provides insights and discusses open research opportunities regarding the use of new intelligent algorithms—combining metaheuristics with simulation and machine learning—to improve the efficiency of energy consumption in transportation.