EURO Journal on Decision Processes最新文献

A Portfolio Selection Model for Planning Natural Gas Smart Energy Hubs with a Multicriteria Benefit-to-Cost Ratio-Based Approach 基于多标准效益成本比方法的天然气智能能源枢纽投资组合选择模型

IF 2.3

EURO Journal on Decision Processes Pub Date : 2025-01-01 DOI: 10.1016/j.ejdp.2025.100060

Eduarda Asfora Frej , Carolina Lino Martins , Lucas Borges Leal da Silva , João Batista Sarmento dos Santos Neto , Adiel Teixeira de Almeida

{"title":"A Portfolio Selection Model for Planning Natural Gas Smart Energy Hubs with a Multicriteria Benefit-to-Cost Ratio-Based Approach","authors":"Eduarda Asfora Frej , Carolina Lino Martins , Lucas Borges Leal da Silva , João Batista Sarmento dos Santos Neto , Adiel Teixeira de Almeida","doi":"10.1016/j.ejdp.2025.100060","DOIUrl":"10.1016/j.ejdp.2025.100060","url":null,"abstract":"<div><div>In the context of advancing energy infrastructure, the planning and development of natural gas smart energy hubs have gained importance as essential components of sustainable energy systems. Thus, this paper introduces a portfolio selection model designed to improve the planning process for natural gas smart energy hubs. The proposed model integrates a multicriteria benefit-to-cost ratio-based (BCR) heuristic approach with surrogate weights and swing elicitation procedure, providing a robust framework for decision-makers to assess and prioritize investment options. The methodology encompasses a diverse set of criteria, including economic, environmental, and social factors, ensuring a holistic evaluation of candidate projects. A Decision Support System (DSS) called ROCSPort was proposed to operationalize and validate the proposed methodology, with a view to providing a streamlined preference modeling process for the decision-maker. The DSS also performs a sensitivity analysis based on a Monte-Carlo simulation approach, and statistical tests can be performed to verify the stability of the results. The model’s applicability is demonstrated through a numerical application in a Brazilian energy company, illustrating its capacity to improve the selection of projects based on predefined objectives and constraints. The findings contribute to the energy planning context by offering a systematic and adaptable approach and tool for portfolio selection, aiding decision-makers involved in determining a sustainable energy infrastructure.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100060"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144665617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal supply chain design using machine learning, risk assessment and optimisation applied to coal distribution 将机器学习、风险评估和优化应用于煤炭配送的最优供应链设计

IF 2.1

EURO Journal on Decision Processes Pub Date : 2025-01-01 DOI: 10.1016/j.ejdp.2025.100062

Spyros Giannelos, Ioannis Konstantelos, Goran Strbac

{"title":"Optimal supply chain design using machine learning, risk assessment and optimisation applied to coal distribution","authors":"Spyros Giannelos, Ioannis Konstantelos, Goran Strbac","doi":"10.1016/j.ejdp.2025.100062","DOIUrl":"10.1016/j.ejdp.2025.100062","url":null,"abstract":"<div><div>This paper presents a novel integration of machine learning and optimization techniques for robust supply chain network design under uncertainty, demonstrated through a regional coal distribution system (150 suppliers, 500 consumers, 7.5 million tonnes annually). Unlike traditional approaches that focus solely on cost minimization, our progressive methodology uniquely combines k-means clustering with mixed-integer programming to identify configurations that are both cost-effective and resilient to demand variability. Starting from a baseline single-warehouse configuration costing $404.6 million annually, our approach systematically evaluates multi-facility alternatives through Monte Carlo simulation (50,000 iterations), revealing remarkable system stability—only 0.96 % cost variation despite 25 % individual volume uncertainty. The k-means analysis identifies optimal clustering patterns, while subsequent mixed-integer programming confirms that a five-warehouse configuration reduces annual transportation costs by 45.8 % ($185.3 million savings) while maintaining 90–100 % capacity utilization. This configuration demonstrates a Net Present Value of $3.02 billion over 50 years, significantly outperforming traditional single-facility designs. Critically, correlation analysis reveals that shipment volumes (ρ=0.739) drive costs more than distances (ρ=0.556), challenging conventional distance-minimization paradigms. The integrated framework is computationally efficient (4.2 s to optimality), scalable to larger networks, and applicable to various bulk commodity distribution challenges, offering supply chain managers a robust tool for strategic network design under uncertainty.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100062"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-efficiency aggregation method considering bounded rationality: An application to healthcare service 考虑有限理性的交叉效率聚合方法在医疗保健服务中的应用

IF 2.3

EURO Journal on Decision Processes Pub Date : 2025-01-01 DOI: 10.1016/j.ejdp.2025.100059

Hao Pan , Guoliang Yang , Yuanyu Lou , Zhongcheng Guan

引用次数: 0

Rewarding organisations for sustainable mobility of their employees: A multi-criteria assessment model and certification framework 奖励员工可持续流动的组织：多标准评估模型和认证框架

IF 2.1

EURO Journal on Decision Processes Pub Date : 2025-01-01 DOI: 10.1016/j.ejdp.2025.100061

Marko Bohanec , Davor Kontić , Bernard Ženko , Martin Žnidaršič , Karina Sirk , Rok Vodopivec

{"title":"Rewarding organisations for sustainable mobility of their employees: A multi-criteria assessment model and certification framework","authors":"Marko Bohanec , Davor Kontić , Bernard Ženko , Martin Žnidaršič , Karina Sirk , Rok Vodopivec","doi":"10.1016/j.ejdp.2025.100061","DOIUrl":"10.1016/j.ejdp.2025.100061","url":null,"abstract":"<div><div>The concept of sustainable mobility is aimed at minimising environmental impacts of transportation systems while meeting the needs of individuals and communities. This includes encouraging citizens to choose sustainable modes of transportation: walking, cycling, public transport, carpooling, and telecommuting. We present an approach at rewarding organisations that actively support the sustainable mobility of their employees, and propose a framework for awarding a sustainable mobility certificate to organisations that fulfil sustainable mobility goals and objectives. The assessment is carried out using a qualitative rule-based multi-criteria model, which considers 50 indicators. Other elements of the certification process include methods for assessing the mobility structure of employees in the organisation and its potential for improvement. In this paper, we present the main components of the proposed certification framework and illustrate its application for assessing the status of sustainable mobility of employees at a Slovenian research institute.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"13 ","pages":"Article 100061"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144841047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Editorial for “Recent advances and applications of multi-objective optimization” 多目标优化的最新进展与应用 "编辑

IF 1

EURO Journal on Decision Processes Pub Date : 2024-01-01 DOI: 10.1016/j.ejdp.2024.100049

Gulsah Karakaya , Banu Lokman

引用次数: 0

Understanding tourists’ behavior toward transport mode choice by using machine learning methods 利用机器学习方法了解游客的交通方式选择行为

IF 2.3

EURO Journal on Decision Processes Pub Date : 2024-01-01 DOI: 10.1016/j.ejdp.2024.100054

Ali Jamal Mahdi , Domokos Esztergár-Kiss

{"title":"Understanding tourists’ behavior toward transport mode choice by using machine learning methods","authors":"Ali Jamal Mahdi , Domokos Esztergár-Kiss","doi":"10.1016/j.ejdp.2024.100054","DOIUrl":"10.1016/j.ejdp.2024.100054","url":null,"abstract":"<div><div>Recently, transportation problems in evolving cities have become increasingly complex thus requiring innovative solutions. The complexity arises from the combination of urbanization, technological advancements, and diverse demographics. Therefore, integrating advanced methodologies, such as machine learning (ML), into transportation planning becomes essential. This study explores the application of ML techniques to predict and understand tourists’ transport mode choices when engaging in leisure activities. A comparative analysis of various ML algorithms including Neural Networks, k-Nearest Neighbor (k-NN), Naive Bayesian, Decision Tree, Support Vector Machines, Discriminant Analysis, and Ensembles reveals distinctive strengths and trade-offs. Based on the results, Neural Networks demonstrate high accuracy, precision, recall, and specificity, which makes the algorithm well-suited to predict transport mode choices. While k-NN exhibits competitive precision and recall, it struggles with specificity and indicates a higher false positive rate. These findings support transportation planners to select the most suitable algorithm according to the desired outcomes. The adoption of these advanced approaches enhances the understanding of travel behavior thus offering valuable tools for developing efficient urban transportation systems.</div></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100054"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “Multi-objective optimization in real-time operation of rainwater harvesting systems” [EURO Journal on Decision Processes Volume 11 (2023) 100039] 对 "雨水收集系统实时运行中的多目标优化"[《欧洲决策过程期刊》第 11 (2023) 100039 卷]的更正

IF 1

EURO Journal on Decision Processes Pub Date : 2024-01-01 DOI: 10.1016/j.ejdp.2024.100045

Yi Zhen , Kate Smith-Miles , Tim D. Fletcher , Matthew J. Burns , Rhys A. Coleman

引用次数: 0

PROMETHEE-Cloud: A web app to support multi-criteria decisions PROMETHEE-Cloud：支持多标准决策的网络应用程序

IF 2.3

EURO Journal on Decision Processes Pub Date : 2024-01-01 DOI: 10.1016/j.ejdp.2024.100053

Erik Pohl, Jutta Geldermann

引用次数: 0

Multiobjective combinatorial optimization with interactive evolutionary algorithms: The case of facility location problems 采用交互式进化算法的多目标组合优化：设施选址问题案例

IF 1

EURO Journal on Decision Processes Pub Date : 2024-01-01 DOI: 10.1016/j.ejdp.2024.100047

Maria Barbati , Salvatore Corrente , Salvatore Greco

{"title":"Multiobjective combinatorial optimization with interactive evolutionary algorithms: The case of facility location problems","authors":"Maria Barbati , Salvatore Corrente , Salvatore Greco","doi":"10.1016/j.ejdp.2024.100047","DOIUrl":"https://doi.org/10.1016/j.ejdp.2024.100047","url":null,"abstract":"<div><p>We consider multiobjective combinatorial optimization problems handled by preference-driven efficient heuristics. They look for the most preferred part of the Pareto front based on some preferences expressed by the user during the process. In general, the Pareto set of efficient solutions is searched for in this case. However, obtaining the Pareto set does not solve the decision problem since one or more solutions, being the most preferred for the user, have to be selected. Therefore, it is necessary to elicit their preferences. What we are proposing can be seen as one of the first structured methodologies in facility location problems to search for optimal solutions taking into account the preferences of the user. To this aim, we use an interactive evolutionary multiobjective optimization procedure called NEMO-II-Ch. It is applied to a real-world multiobjective location problem with many users and many facilities to be located. Several simulations have been performed. The results obtained by NEMO-II-Ch are compared with those obtained by three algorithms knowing the user’s “true” value function that is, instead, unknown to NEMO-II-Ch. They show that in many cases, NEMO-II-Ch finds the best subset of locations more quickly than the methods knowing the whole user’s true preferences.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100047"},"PeriodicalIF":1.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000037/pdfft?md5=5aad75f065d334330ff4d9a6c2431f38&pid=1-s2.0-S2193943824000037-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140041478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dishonesty, neutralisation and nudging 不诚实、中和与暗示

IF 2.3

EURO Journal on Decision Processes Pub Date : 2024-01-01 DOI: 10.1016/j.ejdp.2024.100052

Takudzwa Mutyavaviri , Karl van der Schyff , Karen Renaud

{"title":"Dishonesty, neutralisation and nudging","authors":"Takudzwa Mutyavaviri , Karl van der Schyff , Karen Renaud","doi":"10.1016/j.ejdp.2024.100052","DOIUrl":"10.1016/j.ejdp.2024.100052","url":null,"abstract":"<div><p>E-banking offers clients unparalleled convenience but also exposes them to potential fraud from cyber criminals. Traditionally, banks use technical security measures to ameliorate these kinds of threats. These measures, while essential, are not universally efficacious in preventing fraud. It would be wise to augment technical measures with softer measures such as behavioural interventions (i.e., nudges). In this paper, we report on the effectiveness of behavioural nudges designed to dissuade opportunistic “others” from committing e-banking fraud. Here, we report on an investigation into the impact of the deployment of a number of behavioural nudges in an e-banking customer interface. We evaluated their impact through semi-structured interviews with e-banking customers in the United States of America. We found that nudges which emphasise empathy and heightened awareness of traditional security measures were remarkably effective in dissuading dishonesty. Notably, deployment immediately after login yielded optimal results. Our findings highlight the potential of behavioural nudges to reduce e-banking fraud, thereby augmenting traditional technical countermeasures. We conclude with recommendations for future research.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"12 ","pages":"Article 100052"},"PeriodicalIF":2.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943824000086/pdfft?md5=76a20278e5a448a451a52f62b0cb577e&pid=1-s2.0-S2193943824000086-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141630341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0