Industrial decarbonisation is a central challenge in achieving global climate targets, particularly due to the sector's heavy reliance on fossil-based heat generation. As efforts to transition toward electrified and low-carbon heating technologies intensify, it becomes essential to assess their...

The accelerating penetration of electric vehicles (EVs) is reshaping modern distribution networks by introducing substantial, time-varying charging demand and new operational uncertainties. At the same time, Vehicle-to-Grid (V2G) capable EVs offer unprecedented flexibility to support grid...

Iceland's significant onshore wind energy potential remains untapped, with no operational wind farms despite recognized opportunities for over a decade. Two wind energy projects, approved under Iceland's Master Plan for Nature Protection and Energy Utilization - a legally enshrined...

Multi-criteria decision analysis (MCDA) methods for sustainability assessment (SA) have been used in various decision-making processes for energy system transformation. However, concerns remain about the complexity and resource intensity of their application. The literature on MCDA and SA...

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...

Background: Inventory record inaccuracy (IRI) causes discrepancies between physical and digital inventories, leading to production delays and customer dissatisfaction. Cycle counting, in this context, is a common corrective action. Pareto-based ABC analysis is widely used to decide which items...

Background: Supplier selection in shipbuilding is a high-stakes decision problem due to stringent quality requirements, compressed construction schedules, and elevated project risks. This study develops a systematic decision-support framework for selecting shipbuilding material suppliers while...

Background: The rapid growth of e-commerce has intensified the need for last-mile delivery systems that can navigate urban congestion while minimizing environmental impact. Hybrid truck-drone networks offer a promising solution by combining heavy-duty ground transport with aerial flexibility;...

Background: This study evaluates an additive manufacturing (AM) network designed to balance economic performance, lead time, and environmental impact within the healthcare logistics and supply chain. Methods: An integrated framework is proposed that identifies optimal AM facility locations using...

Background: Despite advances in monitoring and forecasting systems, natural disasters continue to cause significant human losses. During the response phase, fast decisions are required to allocate limited resources, particularly rescue helicopters, which play a key role in reaching inaccessible...

Background: In the era of rapid technological advancement, digital transformation has emerged as a pivotal strategy for enhancing operational efficiency and competitiveness in logistics enterprises, particularly amid globalization and post pandemic recovery; this study aims to evaluate its...

Background: Digital transformation is reshaping healthcare operations, with loyalty programs increasingly used to strengthen patient engagement and streamline administrative workflows. However, fragmented information systems and manual verification routines continue to create bottlenecks,...

Background: Cold chain distribution in Agri-Biotech supply chains faces serious challenges due to strict time windows, high temperature sensitivity, and conflict between different operational objectives, and conventional static approaches are unable to address these complexities. Methods: In...

Background: Green logistics practices are crucial for achieving the EU's Green Deal objectives, addressing environmental challenges, improving supply chain efficiency, and fostering business sustainability. This paper presents a conceptual framework for green logistics practices and their...

Financial institutions face increased reputational, regulatory, and ethical risks as the frequency and complexity of Environmental, Social, and Governance (ESG) controversies increase. Whistleblowing mechanisms are essential in the context of institutional resilience and the mitigation of...

Purpose: Research suggests that material handling costs account for 20-50% of production costs. Furthermore, these production cost could be reduced by 10-30% by dynamically changing the layout. We propose an integer programming model to sustainably solve plant layouts in a financially...

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...