The unexpected outbreak of COVID-19 has placed the tourism sector in an unfavourable position. It has altered the reality of destinations worldwide, changing the paradigm of tourism and showing an unusual scenario within the tourism sector, the undertourism. This paper confirms how this global pandemic has put the Spanish tourism sector at a halt, making it essential to establish public–private response strategies that reactivate it and, in turn, avoid overtourism in the post-COVID-19 scenario. This is done to emphasise the necessity of embracing an adapted systematic approach that entails a realistic set of factors to quantitatively measure the impact of overtourism on the local community. In this sense, a fuzzy modified hybrid multi-criteria decision-making (MCDM) approach is proposed, combining the analytical hierarchy process (AHP) model, the multi-attribute ideal–real comparative analysis (MAIRCA) model, and the sensitivity analysis. The modified F-AHP model is used to identify the criteria importance. For the final ranking of the considered alternative municipalities, the modified F-MAIRCA is applied. To validate the applicability of the proposed approach, we designated the province of Malaga (Costa del Sol) as an empirical study. The findings show that the municipality of Nerja was the most affected by overtourism in the pre-pandemic scenario, and today it is found in undertourism. This calls for transformative decisions of fully engaged tourism policymakers and practitioners to thrive in the post-COVID-19 tourism scenarios in terms of sustainability.

“Sustainability” term has not only become increasingly important globally for individual companies, but also become important for whole supply chains. The selection of supplier is a significant decision for the sustainability of supply chains. Literature review revealed that supplier selection is made traditionally based on economic attributes which are insufficient for sustainability of supply chains as sustainability requires taking economic, environmental, and social issues into account. For this purpose, this paper proposes determining the green supplier selection attributes and then developing a methodology for assessment and ranking of green suppliers based on determined attributes. The first contribution of this study is to propose a novel method, which is FROV (fuzzy extension of range of value) to literature. The latter is to utilize fuzzy extension of preference selection index (FPSI) to identify the weights of attributes. The third is to develop a novel fuzzy multiattribute decision‐making model consisting of FPSI and FROV to determine the best supplier for a Turkish textile company.

Clean energy has become a growing concern, and many organizations pay attention to environmental protection and energy production as well. In the last few decades, the wind turbine has become the core of clean energy production and has advanced in generating electricity from 40 kW to 5 mW. However, the new design of the wind turbine causes several potential failures which frequently lead to the inability to accomplish the operational requirements intended to meet the customers’ expectations. As a solution to this problem, the present paper proposes a novel systematic approach that combines Multicriteria Decision-Making (MCDM) techniques and Failure Mode Effects and Criticality Analysis (FMECA) tool to reveal the fatal failures and optimize the maintenance actions. To further develop the preceding framework, this work will not only rely on the three risk factors that are involved in the traditional Risk Priority Numbers (RPN) approach but also will consider the economic aspect of the system. In the proposed approach, the grey Analytic Hierarchy Process (AHP) method is applied in the first place to calculate the weights of the four risk factors criteria. Second, the grey Multiattribute Border Approximation area Comparison (MABAC) technique is applied to rank the failure modes and their criticality on the whole system. The proposed model is verified within an organization of renewable energy production in Morocco. Furthermore, the results of the comparative and the sensitivity analysis affirm that the proposed research framework is adequate for enhancing other complex systems design, especially in a developing world where funds and resources are scarce.