Coastal zones are among the environments most threatened by climate change. Although various efforts for global mapping and classification of coastal social and ecological systems have been undertaken, the ability to analyse and describe the spatial heterogeneity and multidimensionality of these...

The economic and regulatory environment banks operate in poses challenges in regard to different facets of sustainability and requires proper managerial and technological innovations. Bank performance can be analysed from various viewpoints. Therefore, it is important to develop comprehensive...

Container Terminal Port of Boombaru is a Port that serves goods in container’s shape for shipping, and it is located in Palembang, South Sumatra Province. The results of the projections show that the growth rate of Berth occupancy at the Boombaru Port container terminal is very significant,...

Background: Urban freight transport has recently garnered significant attention from both professionals and academics due to its pivotal role in fostering economic and social development. Despite notable progress, this sector faces challenges that hinder its long-term sustainability. Addressing...

The rapid growth in the volume of international container transport requires that the entire transport chain become more competitive, including maritime container terminals. The aim of the article is to identify the number and location of major Baltic container terminals and to perform a...

The growth of the Internet of Things (IoT) has accelerated digital transformation processes in organizations and cities. However, it has also opened new security challenges due to the complexity and dynamism of these systems. The application of security risk analysis methodologies used to...

The main goal of the research was to develop a multi-criteria hybrid model for evaluating the region in the context of sustainable tourism, based on the example of the countries of the Visegrad Group. The research uses the mathematical apparatus of expert evaluation, theory of fuzzy sets, fuzzy...

Multi-objective optimization problems (MOPs) are common in real-world applications, including scheduling, vehicle routing, and engineering design. A key challenge in solving MOPs is balancing convergence and diversity, as these problems often involve conflicting objectives and complex...

Sustainable Supplier Selection and Order Allocation (SSSOA) are critical strategic decisions in supply chain management. The decision-making process becomes complex under uncertainty, especially in a multi-supplier, multi-item, and multi-period environment. This study proposes a four-stage...

Multi-Criteria Decision-Making (MCDM) methods, particularly TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) (Multicriteria Optimization and Compromise Solution), are extensively used in logistics for...

Civil Helicopter Emergency Medical Services (CHEMS) are vital for improving emergency healthcare access, particularly in remote or congested areas. While widely implemented in high-income countries, CHEMS remain underutilized in low- and middle-income countries (LMICs) due to financial,...

Food insecurity remains a global challenge that demands efficient and equitable logistical solutions, especially in the distribution of food aid. This study addresses the Two-Echelon Vehicle Routing Problem (2E-VRP) in foodbank logistics by proposing a novel multi-objective optimization...

Many countries are prioritizing renewable energy sources in response to fossil fuel depletion, environmental concerns, and the need for energy resilience. This study evaluates five renewable energy alternatives: Biomass, Wind, Solar, Geothermal, and Hydro, with the aim of reducing foreign energy...

The escalating pressures of population growth, surging global energy needs, water shortages, reliance on fossil fuels, and urban air pollution underscore the critical demand for sustainable energy alternatives. Biofuels present a viable solution, yet their successful adoption hinges on an...

Suitable facility location selection for customer-required capacity localization is an emerging topic in semiconductor supply chain management. However, this topic has not been thoroughly investigated. For this reason, an explainable artificial intelligence (XAI)-interpreted fuzzy group...

This paper assesses the green tourism readiness of six EU member states from Central and Eastern Europe - Slovenia, Croatia, Slovakia, Hungary, Bulgaria, and Romania - using a hybrid multi-criteria decision-making (MCDM) model. As tourism sectors face increasing pressure to align with the...

In the rapidly evolving landscape of data analytics, effective decision-making is paramount. Multi-attribute decision-making (MADM) techniques are widely applied to handle uncertainty and vagueness in diverse fields such as medical diagnosis, social selection, networking, and environmental...

Agritourism has emerged as a contemporary tourism alternative in the post-COVID-19 era, adapting to the need to connect with nature while promoting a sustainable tourism model. As nations increasingly recognize agritourism's potential, efforts to create suitable locations strategically are...

The rapid growth of e-commerce and urbanization has caused significant last-mile delivery (LMD) challenges, requiring the implementation of sustainable solutions. To address this issue, this study proposes a new multi-criteria decision-making (MCDM) framework using the Best-Worst Method (BWM) to...

Social Multi-Criteria Evaluation (SMCE) is a methodological framework designed to support decision-making in public policy. This report presents findings from a systematic literature review and a study of applications within the European Commission, offering an overview of how SMCE has been...

Today most public authorities have implemented some type of risk governance framework or system, which provides structure, approaches, and methods for how to handle societal risks. One main challenge of risk-related policies and frameworks is to adequately and effectively take into account...

Background: Improving operational efficiency in the mining industry increasingly de-pends on a mature asset management framework and the careful selection of reliable, sustainable suppliers for systems, personnel, equipment, and services. Given the complexity of mining operations and the growing...

Background: Healthcare systems are increasingly strained by limited operating room resources and rising demand, a situation intensified by the COVID-19 pandemic. These pressures have resulted in overcrowded surgical departments, prolonged waiting times for elective procedures, worsened patient...

Background: The rapid growth of international maritime trade has intensified operational challenges at marine terminals due to increased interaction between vessels, trucks, and trains. Key issues include berth congestion, inefficient truck arrivals, and underutilization of terminal resources....

Companies face multi-criteria problems every day, such as prioritizing projects, investments, and suppliers. In this respect, the literature offers countless methods, some of which provide partial and flawed solutions. Therefore, identifying and replacing a flawed method with a more efficient...

This paper reveals profound obstacles to sustainable supply chain integration in Industry X.0 in the United Arab Emirates (UAE) by utilizing a hybrid Fuzzy Delphi-TOPSIS approach and enriching the viewpoints of 102 experts in oil/gas (45%), logistics (30%), government (15%), and academia (10%)....

The Renewable Energy (RE) supply chain faces challenges such as infrastructure constraints, and dependence on weather conditions, which affect production stability. Also, high initial costs and unstable support policies create significant financial barriers in RE. Using the capabilities of new...

This study evaluates the potential for Transit-Oriented Development (TOD) in Khartoum, Sudan, a rapidly urbanizing city facing critical transportation challenges. By integrating Geographic Information Systems (GIS) and Spatial Multi-Criteria Analysis (SMCA), we analyze bus terminals' spatial...

Use of Geographic Information System (GIS) mapping in tandem with Multi-Criteria Decision Analysis (MCDA) has become increasingly common as a means of determining the optimal location and design of renewable energy projects. However, to date, no attempt has been made to synthesise the location...

The inability of small companies to compete with large production systems has led to the sharing resources in cloud production systems among smaller companies to compensate for their production deficiencies. This study proposes a multi-objective, multi-level cloud production system by minimizing...

This study presents a novel Full Multiplicative Data Envelopment Analysis (FMDEA) for solving Multi-Attribute Decision-Making (MADM) problems. The proposed model offers an innovative approach to solving MADM problems by integrating the principles of Data Envelopment Analysis (DEA) with Full...