Article
Management
Eleftherios Siskos, Peter Burgherr
Summary: This paper proposes a comprehensive multicriteria decision support methodological framework to evaluate the electricity supply resilience of European countries. The framework evaluates and ranks 35 European countries based on their performance on 17 interacting evaluation criteria. The Choquet Integral and Simos method are used in synergy to provide guidance and areas for improvement for energy policymakers.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
F. Mujjuni, T. Betts, L. S. To, R. E. Blanchard
Summary: The concept of resilience is important in socio-technical disciplines due to increased dependency on engineered systems and their vulnerability to threats. Existing frameworks for assessing resilience in the energy sector are limited in demonstrating direct links to development, proposing narrow indicators, and complexity in real-world application. This study highlights the relevance of resilience as a necessity and outcome of development, proposing a framework for measuring resilience in the electricity supply industry.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Interdisciplinary Applications
David Linden, Marco Cinelli, Matteo Spada, William Becker, Patrick Gasser, Peter Burgherr
Summary: Composite Indicators (CIs) are increasingly used to simplify result interpretation by condensing information from multiple underlying indicators. This paper demonstrates the direct link between indicator correlations and their capacity to transfer information to the CI, proposing measures of information transfer and weight optimization methods. These tools support the tailored development of CIs for analysts to bridge statistical properties with stakeholder weighting preferences.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Economics
Komlan H. S. Tete, Y. M. Soro, S. S. Sidibe, Rory Jones
Summary: This paper uses Multiple-criteria Decision Analysis to assess the energy security performance of the electricity sectors of the West African Economic and Monetary Union (UEMOA) countries. A five-level framework is established to conceptualize energy security, and 18 metrics are used to assess the energy security performance of the UEMOA countries during the 2010-2019 period. The results show that Cote d'Ivoire was the most secure country, followed by Senegal and Togo, while Niger was the worst-performing country. Furthermore, common actions such as improving governance, increasing generation capacity with priority to renewable sources, and paying more attention to environmental concerns can enhance energy security throughout the electricity sectors of all the UEMOA countries.
Article
Construction & Building Technology
Mostafa Baghersad, Suzanne Wilkinson, Hamed Khatibi
Summary: This study aims to establish a comprehensive bank of indicators to assist water corporations and decision-makers in selecting appropriate indicators for their particular system. The suggested indicator bank consists of three layers, including dimension, attributes, and the number of indicators resulting from 12 different indicator codes analyzed in the study. The challenge lies in validating this exploratory approach in a real work setting, as resilience is a challenging concept and WSSs are complex due to their dependencies on other lifelines such as power networks.
ADVANCES IN CIVIL ENGINEERING
(2021)
Article
Transportation
Joseph S. Szyliowicz
Summary: This paper examines the vulnerabilities in supply chain transportation systems highlighted by Covid 19 and global events, and evaluates the adequacy of policy makers' response based on academic and professional literature. It analyzes the intermodal character of SC transportation systems, the challenges they face, and the security policies adopted by the U.S. The paper also assesses the contributions and limitations of three bodies of literature related to SC risk management, transportation system security, and intermodal transportation. The analysis of the current security level and remaining challenges in U.S. intermodal systems is conducted, and suggestions for further scholarly attention to enhance security and resilience of US supply chain intermodal systems in the future are provided.
Article
Geosciences, Multidisciplinary
Swarna Bintay Kadir
Summary: Women face discrimination in various aspects of social and economic life, particularly in patriarchal societies. Society's disproportionate treatment towards women exacerbates the challenges they face during disasters. Despite being recognized as the most vulnerable in different hazard studies, women's ability to cope, recover, and adapt to disaster situations is often unclear and underappreciated, especially in Bangladesh's current socio-economic conditions. This research aims to identify potential socio-economic indicators of household disaster resilience that are sensitive to gender differences, focusing on the sectors of gender discrimination that are unavoidable when building household resilience. Conducted in four villages in the southwestern coastal region of Bangladesh, the study reveals that although women are still lagging behind men in terms of disaster resilience, they are making significant progress in areas such as health, community engagement, education, and economy.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Environmental Sciences
Maria de Belem Costa Freitas, Antonio Xavier, Rui Fragoso, Carla Antunes
Summary: This paper proposes an approach based on compromise programming to analyze the sustainability of water use at the municipal level. It identifies the main factors affecting water use sustainability and provides rankings based on these factors. The study finds that safe water, percentage of housing served by water supply, and water distributed per inhabitant are the most important internal factors affecting sustainable water use. Additionally, the study reveals that tourism activity, income level, and young age population have a significant negative effect on sustainable water use, while municipal revenue has a positive effect. Irrigated farming has a non-significant negative effect on sustainable water use.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Environmental Studies
Giedrius Pasakarnis, Vida Maliene, Robert Dixon-Gough, Naglis Malys
Summary: This paper presents a set of key criteria and a multi-criteria analysis-based approach to rank and prioritize administrative regions for land consolidation implementation. Transparent identification and prioritization of regions will help ensure efficient resource management and fair allocation of financial support.
Article
Environmental Studies
Na Zhou, Hui Su, Qiaosheng Wu, Shougeng Hu, Deyi Xu, Danhui Yang, Jinhua Cheng
Summary: This study used system dynamics to model the lithium supply chain in China, considering both demand and price dynamics. The results showed that China's lithium supply chain is primarily driven by consumption, and changes in resource reserves have little impact on its security. However, the growth of the electric vehicle industry may have a negative effect on the security of China's lithium supply chain. The short-term impact of the pandemic on the domestic lithium supply chain was manageable, but it also intensified the issue of overcapacity.
Article
Multidisciplinary Sciences
Subhashni Raj, Catherine Brinkley, John Ulimwengu
Summary: Global food trade has a significant impact on national nourishment levels, and trade network structure and centrality play important roles. Increasing centrality can improve nourishment levels for countries with low purchasing power, but it may increase hunger outcomes for countries with high purchasing power. In response to perturbations and shortfalls in the globalized food system, local and regional governments may consider focusing on regional and local based food systems.
Article
Computer Science, Artificial Intelligence
Sena Aydogan, Gul E. Okudan Kremer, Diyar Akay
Summary: The study introduces a linguistic summarization approach based on fuzzy sets for describing a realistic complex network of a bike supply chain, calculating the truth degree of generated summaries using fuzzy cardinality-based methods to overcome inherent disadvantages.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Computer Science, Interdisciplinary Applications
Konstantinos Tsiamas, Shahin Rahimifard
Summary: The rapid growth of population has led to a huge increase in demand for manufactured goods, particularly in the global food sector. However, supply chains are facing increasing disruptions from various factors, making it difficult for food manufacturers to ensure the long-term resilience of their supply chains. Therefore, a novel framework and simulation-based decision support approach are needed to help mitigate the impact of disruptions and improve the resilience of food supply chains.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2021)
Article
Engineering, Chemical
Xueyi Li, Huai Su, Jinjun Zhang
Summary: Natural gas is crucial to China's economy and social stability, but its stable supply is facing significant challenges. This paper defines the concept of natural gas supply resilience and proposes a systematic resilience assessment method using ecological network analysis. The study finds that China's natural gas supply resilience has increased during the period of 2016-2020, and increasing the supply capacity of LNG sources improves the system's ability to withstand interference and recover. Based on the findings, suggestions are provided to enhance China's natural gas supply resilience.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Article
Management
Le Ngoc Bao Long, Truong Ngoc Cuong, Hwan-Seong Kim, Sam-Sang You
Summary: This study focuses on the dynamic characteristics and resilience issues of managing multi-echelon supply chain systems. It evaluates the nonlinear systems using various computational methods and applies machine learning algorithms to enhance the resilience and sustainability of the supply chain in volatile markets.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2023)
Article
Management
Eleftherios Siskos, Peter Burgherr
Summary: This paper proposes a comprehensive multicriteria decision support methodological framework to evaluate the electricity supply resilience of European countries. The framework evaluates and ranks 35 European countries based on their performance on 17 interacting evaluation criteria. The Choquet Integral and Simos method are used in synergy to provide guidance and areas for improvement for energy policymakers.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Marco Cinelli, Milosz Kadzinski, Grzegorz Miebs, Michael Gonzalez, Roman Slowinski
Summary: A new methodology for selecting Multiple Criteria Decision Analysis (MCDA) methods is introduced, implemented in the Multiple Criteria Decision Analysis Methods Selection Software (MCDA-MSS). The software provides guidance for analysts in choosing the most suitable MCDA method for a given decision problem, offering a comprehensive evaluation of over 200 MCDA methods based on problem characteristics.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Multidisciplinary Sciences
Arnaud Mignan, Matteo Spada, Peter Burgherr, Ziqi Wang, Didier Sornette
Summary: This study constructs an accident graph for the oil & gas industry and investigates the chains of events leading to severe accidents using graph theory, Markov analysis, and catastrophe dynamics. The findings show that human error consistently contributes to accidents and explosion, fire, toxic release, and element rupture are the primary sinks and catalysts. The study also reveals that chains of up to five events play a significant role in severe accidents, including secondary events that are not directly identifiable from the graph topology.
Article
Management
Anna Labijak-Kowalska, Milosz Kadzinski, Inga Spychala, Luis C. Dias, Javier Fiallos, Jonathan Patrick, Wojtek Michalowski, Ken Farion
Summary: This study proposes a novel variant of the value-based additive data envelopment analysis model and conducts a comprehensive robustness analysis of physicians' performance using mathematical programming and the Monte Carlo simulation. The results indicate a strong dependence of physicians' performances on the selected weight vectors, and provide a basis for identifying overall good performers, developing improvement plans, and recognizing challenging patients' complaints.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2023)
Article
Engineering, Civil
Nikola Blagojevic, Fiona Hefti, Jonas Henken, Max Didier, Bozidar Stojadinovic
Summary: Disaster resilient civil infrastructure systems are crucial for resilient communities. Measuring their resilience is challenging due to their complexity, different impacts from various disasters, and dynamic interdependencies among components.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Management
Krzysztof Martyn, Milosz Kadzinski
Summary: This study proposes preference learning algorithms for inferring the parameters of a sorting model from large sets of examples, with application in Multiple Criteria Decision Analysis. By utilizing artificial neural networks and gradient descent optimization algorithms, the study achieves high predictive accuracy.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Geological
Safak Arslanturkoglu, Bozidar Stojadinovic
Summary: This paper presents a graphical framework for evaluating seismic fatality risk of existing buildings. The framework provides a transparent view of the contributions of different sources of hazard and risk, and takes uncertainty into account to help engineers and building owners make better, risk-based decisions.
BULLETIN OF EARTHQUAKE ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Marco Cinelli, Peter Burgherr, Milosz Kadzinski, Roman Slowinski
Summary: The current selection of Multiple Criteria Decision Analysis (MCDA) methods in energy systems analysis is problematic, primarily due to the misuse of weighting methods, inappropriate selection of MCDA techniques, and failure to address obvious interactions in preference models. A newly developed methodology can assist decision makers and analysts in choosing the most suitable MCDA method.
DECISION SUPPORT SYSTEMS
(2022)
Article
Engineering, Geological
Andreia H. A. da Silva, Anastasios Tsiavos, Bozidar Stojadinovic
Summary: The modern engineering approach allows for inelastic response of structures to rare but intense earthquakes. Models and tools are essential for accurately assessing the inelastic response and controlling the performance of the structures. In this study, we develop closed-form relations between ductility μ and strength reduction factor R*, as well as their inverses, which are functions of the yield displacement S-d,S-y. We also formulate dimensionless relations for ductility-strength and strength-ductility, independent of seismic hazard intensity.
BULLETIN OF EARTHQUAKE ENGINEERING
(2023)
Article
Engineering, Civil
Lukas Bodenmann, Marco Broccardo, Panagiotis Galanis, Bozidar Stojadinovic
Summary: The consideration of seismic risk at a regional, building portfolio level is important due to the potential large spatial impact of earthquake disasters and the concentration of population and values in urban areas. The relationship between building-level seismic risk and portfolio-level seismic risk is helpful in meeting specific regional seismic risk tolerance levels. Subadditive risk measures, such as Expected Shortfall, allow for estimating conservative upper bounds of portfolio-level seismic risk. However, nonsubadditive risk measures commonly used in earthquake engineering can lead to counter-intuitive and nonconservative perceptions of regional seismic risk.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2023)
Article
Management
Zice Ru, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao
Summary: This article proposes a family of probabilistic ordinal regression methods for multiple criteria sorting. It introduces Bayesian Ordinal Regression and Subjective Stochastic Ordinal Regression to derive the class assignments of alternatives based on provided preference information. The introduced approaches are evaluated through an experimental study involving real-world datasets.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Operations Research & Management Science
Anna Labijak-Kowalska, Milosz Kadzinski
Summary: This study proposes a ratio-based model for measuring the efficiency of decision-making units and introduces a robustness analysis framework that considers both interval and ordinal performances on inputs and outputs. The methodology takes advantage of the uncertainty related to imprecise data and considers all feasible input/output weight vectors determined by linear constraints. Methods are provided to verify the robustness of efficiency scores, efficiency preference relations, and efficiency ranks. Mathematical programming models are formulated to compute extreme, necessary, and possible results, and stochastic analysis using Monte Carlo simulations is incorporated to derive the probability distribution of different outcomes. The framework is implemented in R and made available as open-source software. Its use is illustrated through case studies on Chinese ports and industrial robots.
OPERATIONAL RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Anna Labijak-Kowalska, Milosz Kadzinski, Weronika Mrozek
Summary: We propose a new methodological framework based on additive value-based efficiency analysis, which considers inputs and outputs organized hierarchically. This approach decomposes the problem into manageable pieces and allows us to determine the strengths and weaknesses of the analyzed units. By analyzing feasible weight vectors at different hierarchy levels, we provide robust outcomes. The analysis includes three complementary perspectives: distances to the efficient unit, ranks, and pairwise preference relations. For each perspective, we determine the extreme results and the distribution of probabilistic results. We apply this method to a case study on the performance of healthcare systems in 16 Polish provinces, discussing the results based on the entire factor set and three subcategories: health improvement, efficient financial management, and consumer satisfaction. Lastly, we reveal practical conclusions derived from the hierarchical decomposition of the problem and robustness analysis.
APPLIED SCIENCES-BASEL
(2023)
Article
Green & Sustainable Science & Technology
Paula Ziyeh, Marco Cinelli
Summary: This paper examines the assessment methods employed by eco-labels in the textile and clothing industry and proposes a classification framework based on these methods. The framework aims to improve the consistency and traceability of eco-labels.
Article
Computer Science, Interdisciplinary Applications
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liaoa
Summary: We propose a preference-learning algorithm that uncovers Decision Makers' (DMs') contingent evaluation strategies in multiple criteria sorting. Our method uses holistic assignment examples derived from the analysis of performance vectors and textual descriptions. Using a mixture of threshold-based, value-driven preference models and latent topics, we construct a probabilistic model. The method automatically identifies components representing the evaluation strategies of all DMs.
INFORMS JOURNAL ON COMPUTING
(2023)
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)
