In 2020, the COVID-19 pandemic and its rapid spread shook health authorities worldwide at the regional and national levels. Healthcare systems had difficulty acquiring important supplies, such as face shields, which at that time were essential for healthcare staff. The need for this material increased with the spread of the pandemic. In most areas, warehouses did not have a sufficient stock of this product. This situation has occurred in the cities and provinces of Burgos (Spain). Volunteers (citizens and small companies) owning three-dimensional printers offered themselves to manufacture face shields. These volunteers are called “makers.” Similarly, different organizations (mainly Civil Protection) took charge of transport activities (delivery of material to the makers, collection of face shields, and delivery of the latter to hospitals and other entities). In this study, we were tasked with developing a system for planning and rationalizing these activities. The problems that were solved included a vehicle routing problem with different characteristics compared with other models in the literature. A previous work described this problem, and the heuristic method used for the planning. However, it is necessary to develop tools that are as efficient as possible for similar situations. In this study, we propose a mathematical formulation of the problem and a method based on the metaheuristic strategies variable neighborhood search and greedy randomize adaptative search procedure on a multistart framework. Different tests with real instances used during the period in which these activities were conducted show that the new method improves the results obtained by the previous method as well as the commercial software., The authors are grateful to the following entities and projects: The Spanish Research Agency (Projects PID2019-104263RB-C44, PDC2021–121021-C22, and PID2022-139543OB-C44) and the Regional Government of “Castilla y León” and FEDER funds (Project BU056P20).

The data set is a set of txt files with the fictitious instaces used in the paper "Efficient assignment of flight levels: A variable neighborhood search approach", The authors are grateful for the following entities, projects, and grants: The Spanish Research Agency and European Union (Project PID2022-139543OB-C44) and Regional Government of Castilla y León and FEDER founds (BU021G24).

The data set consists of a spreadsheet file containing the data used in the research project PID2020-120288GB-I00, The authors are grateful for the grants: Agencia Estatal de Investigación, Proyecto PID2020-120288GB-I00

The data set is a set of txt files with the fictitious instaces used in the paper "Efficient model for shift planning in the health and social care sector"., The authors are grateful for the following entities, projects, and grants: The Spanish Research Agency and European Union (Projects PDC2021-121021-C22 and PID2022-139543OB-C44) Spanish Ministry of Universities (Grant FPU/00606-2021) Regional Government of Castilla y León and FEDER founds (Grants BDNS 540787 and BU021G24).

Depopulation is currently a major problem in Spain, especially in inland areas. Tourism can help alleviate this problem. Therefore, competitive advantages must be enhanced by developing a capable and sustainable tourism model that can lead to the desired level of development in a given geographical area. A powerful decision-making and diagnostic tool was created for the tourism industry in the Burgos Province, Spain to identify the key factors in tourist satisfaction, which can influence the decision to recommend and revisit a destination. This study presents this tool and a theoretical model of tourism satisfaction. The findings emphasize the significance of the perception that tourists have of the quality of a destination's goods and services and its impact on satisfaction. Enhancing tourist satisfaction can have important implications for improving tourism management and, consequently, addressing the depopulation problem.