International Transactions in Operational Research最新文献

{"title":"Special Issue on “Sharing Platforms for Sustainability: Exploring Strategies, Trade-offs, and Applications”","authors":"","doi":"10.1111/itor.13553","DOIUrl":"https://doi.org/10.1111/itor.13553","url":null,"abstract":"","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 3","pages":"1823-1824"},"PeriodicalIF":3.1,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Special Issue on “Agricultural E-commerce and Logistics Operations in the Era of Digital Economy”","authors":"","doi":"10.1111/itor.13533","DOIUrl":"https://doi.org/10.1111/itor.13533","url":null,"abstract":"","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 3","pages":"1818-1820"},"PeriodicalIF":3.1,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust solutions via optimisation and predictive process monitoring for the scheduling of the interventional radiology procedures","authors":"Matteo Di Cunzolo,&nbsp;Massimiliano Ronzani,&nbsp;Roberto Aringhieri,&nbsp;Chiara Di Francescomarino,&nbsp;Chiara Ghidini,&nbsp;Alberto Guastalla,&nbsp;Emilio Sulis","doi":"10.1111/itor.13584","DOIUrl":"https://doi.org/10.1111/itor.13584","url":null,"abstract":"<p>Interventional radiology (IR) is an increasingly used medical specialty relying on the possibilities offered by medical imaging guidance technologies to perform minimally invasive procedures (both diagnostic and therapeutic) through very small incisions or body orifices. Although the operative context is quite similar to that of the classical operating room (OR) literature, to the best of our knowledge management problems arising in the IR operative context never appeared in the healthcare management literature. This is even more true for studies that combine the OR approach with automatic extraction of information from real hospital health record data as in the present study. Two specific features characterise our case study with respect to the traditional OR literature: due to the Italian legislation, the anaesthetist (usually in a very limited number) must be present for the entire duration of the procedure (<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>C</mi>\u0000 <mn>1</mn>\u0000 </mrow>\u0000 <annotation>$C1$</annotation>\u0000 </semantics></math>), and the IR does not have its own ward but receives inpatients from different wards (<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>C</mi>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 <annotation>$C2$</annotation>\u0000 </semantics></math>). The aim of this paper is to introduce a novel approach to determine a robust solution for our case study problem addressing both features <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>C</mi>\u0000 <mn>1</mn>\u0000 </mrow>\u0000 <annotation>$C1$</annotation>\u0000 </semantics></math> and <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mi>C</mi>\u0000 <mn>2</mn>\u0000 </mrow>\u0000 <annotation>$C2$</annotation>\u0000 </semantics></math>. Our approach is based on the interplay between optimisation and predictive process monitoring (PPM) models. The obtained results show that the proposed approach produces schedules that achieve higher usage rate, lower overtime and more patients operated on than the original schedule. We also show that the integration of PPM models within the optimisation workflow improves the quality of the output schedule with respect to the standard one-shot optimisation.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 4","pages":"2189-2214"},"PeriodicalIF":3.1,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.13584","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mood and emotion assessment for risk reduction of pandemic spread through passenger air transport: a DSS applied to the COVID-19 in the case of Spain","authors":"J. Aguarón,&nbsp;A. Altuzarra,&nbsp;R. Aznar,&nbsp;M.T. Escobar,&nbsp;A. Jiménez-Martín,&nbsp;A. Mateos,&nbsp;A. Moreno-Díaz,&nbsp;J.M. Moreno-Jiménez,&nbsp;C. Moreno-Loscertales,&nbsp;V. Muerza,&nbsp;J. Navarro,&nbsp;A. Sarango,&nbsp;A. Turón,&nbsp;L.G. Vargas","doi":"10.1111/itor.13568","DOIUrl":"https://doi.org/10.1111/itor.13568","url":null,"abstract":"<p>This paper presents a decision support system (DSS) for sentiment analysis of Spanish texts based on lexicons. The information provided by this DSS, named Spanish Sentiment Analysis-DSS (SSA-DSS), is employed to assess the social impacts considered in an external software module (RRPS-PAT) centered on risk reduction of pandemic spread through passenger air transport. RRPS-PAT is a complex multiobjective optimization module simultaneously addressing different conflicting objectives, including epidemiological, economic, and social aspects. This allows more effective and realistic decisions to be made. The specificity and novelty of the problem suggest the use of lexicon-based approaches because there is no prior information about the problem to train machine learning–based approaches. The SSA-DSS covers the entire process from the incorporation of texts, particularly tweets, to be analyzed, the application of preprocessing and cleaning tools, the selection of lexicons (general, context, and emoji lexicons) to be used and their possible modification, to the visualization of results and their exportation to other software tools. This paper contemplates, apart from the RRPS-PAT module, the connection with a social network analysis tool (Gephi) that complements the information provided by SSA-DSS with the identification of social leaders. The usefulness and functionalities of SSA-DSS are illustrated by means of an example related to the evolution of societal mood in Spain during the COVID-19 pandemic.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 4","pages":"1918-1949"},"PeriodicalIF":3.1,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.13568","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A decision support system for risk reduction in pandemic spread based on the management of passenger air traffic","authors":"Gabriel A. Peña,&nbsp;Alfonso Mateos,&nbsp;Antonio Jiménez-Martín,&nbsp;Raúl G. Sanchis","doi":"10.1111/itor.13576","DOIUrl":"https://doi.org/10.1111/itor.13576","url":null,"abstract":"<p>A significant factor in the early spread of pandemics at an international level is passenger air traffic. Decisions regarding passenger air traffic could assist different countries in managing the risk of pandemic importation. However, flight cancelations would have economic and social impacts, leading to a multiobjective optimization problem. A decision support system (DSS) for reducing the risk of pandemic spread by managing passenger air traffic is introduced. This DSS enables decision makers (DMs) to parameterize the problem to be solved (time period, country of analysis, the percentage of targeted risk reduction, etc.), quantify DM preferences using ordinal information on the objectives, solve the resulting binary single-objective optimization problem using a binary particle swarm optimization metaheuristic, and visualize the optimal solution. The methodology is illustrated using the example of Spain with 38 national airports and 5000 international connections, involving 9678 flights within the time period from September 24 to October 7, 2020.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 4","pages":"1893-1917"},"PeriodicalIF":3.1,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.13576","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A value chain modeling approach for upscaling the production of fine flavor cocoa in Arauca (Colombia)","authors":"María F. Cortés,&nbsp;Karla Parra,&nbsp;Daniela Rodríguez,&nbsp;Carlos Ardila,&nbsp;Sebastián Escobar,&nbsp;Bart Van Hoof,&nbsp;Ivan Mura,&nbsp;Jader Rodríguez,&nbsp;Andrés L. Medaglia","doi":"10.1111/itor.13563","DOIUrl":"https://doi.org/10.1111/itor.13563","url":null,"abstract":"<p>The fine flavor cocoa (FFC) market offers additional income for small farmers. Despite the potential of several Latin American countries to produce FFC, their lack of standardized postharvest processes hinders compliance with high-quality standards demanded by the FFC market, as these processes have a direct impact on cocoa's organoleptic characteristics. This work supports the design of a collective postharvest transformation model that coordinates the main steps in the cocoa agri-food chain: transport of the cocoa harvest, classification, fermentation, drying, storage, and commercialization. Our methodology includes a modeling scheme combining optimization and simulation models, considering variability in the processes, and covering operational (transport and resource allocation), tactical (design and sizing of the processing plant), and strategic (sales dynamics) decisions across the cocoa value chain. We illustrate this methodology in a case study in Arauca, Colombia. Our findings emphasize the importance of combining these operational and strategic models since their inputs and outputs are interconnected influencing the decision-making within the cocoa value chain. Our study also identifies key determinants for the postharvest design, highlighting the postharvest center capacity, FFC prices, and the market selling mode (export or local).</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 4","pages":"2215-2247"},"PeriodicalIF":3.1,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143381001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel multicriteria web-based decision support system to enhance resource allocation in energy companies: a portfolio selection with c-optimal PROMETHEE","authors":"Lucas Borges Leal da Silva,&nbsp;Jonatas Araújo de Almeida,&nbsp;Adiel Teixeira de Almeida","doi":"10.1111/itor.13562","DOIUrl":"https://doi.org/10.1111/itor.13562","url":null,"abstract":"<p>In an uncertain world, decision support systems (DSSs) are essential for effective portfolio management. Electricity companies often face challenges in allocating limited resources among competing projects, influenced by sustainability and regulatory requirements. To address these challenges, multicriteria approaches have been developed, focusing on complex issues involving outranking methods. This paper introduces a methodological advance with a novel algorithm that enhances the c-optimal PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) approach, resolving scaling issues inherent in the PROMETHEE V method. Our key contribution is a refined procedure for efficiently identifying and comparing c-optimal solutions while preserving the method's axiomatic integrity, ensuring the selection of the “true best” portfolio. Additionally, we present a web-based DSS designed to implement this methodology, featuring interactive visualization and sensitivity analysis tools. Freely available online, both the algorithm and DSS were validated through a case study with a Brazilian electricity company, demonstrating their practical benefits and applicability across various business contexts.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 4","pages":"1861-1892"},"PeriodicalIF":3.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143380858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast heuristics for the time-constrained immobile server problem","authors":"Adam Q. Colley,&nbsp;Eli V. Olinick","doi":"10.1111/itor.13564","DOIUrl":"https://doi.org/10.1111/itor.13564","url":null,"abstract":"<p>We propose easy-to-implement heuristics for time-constrained applications of a problem referred to in the literature as the facility location problem with immobile servers, stochastic demand, and congestion, the service system design problem, or the immobile server problem (ISP). The problem is typically posed as one of allocating capacity to a set of M/M/1 queues to which customers with stochastic demand are assigned with the objective of minimizing a cost function composed of a fixed capacity-acquisition cost, a variable customer-assignment cost, and an expected-waiting-time cost. The expected-waiting-time cost results in a nonlinear term in the objective function of the standard binary programming formulation of the problem. Thus, the solution approaches proposed in the literature are either sophisticated linearization or relaxation schemes, or metaheuristics. In this study, we demonstrate that an ensemble of straightforward, greedy heuristics can rapidly find high-quality solutions. In addition to filling a gap in the literature on ISP heuristics, new stopping criteria for an existing cutting plane algorithm are proposed and tested, and a new mixed-integer linear model requiring no iterating algorithm is developed. In many cases, our heuristic approach finds solutions of the same or better quality than those found by exact methods implemented with expensive, state-of-the-art mathematical programming software, in particular a commercial nonlinear mixed-integer linear programming solver, given a five-minute time limit.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 3","pages":"1282-1311"},"PeriodicalIF":3.1,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.13564","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Special issue on “Multiple Criteria Decision Making for Sustainable Development Goals (SDGs)”","authors":"Davide La Torre,&nbsp;Hatem Masri,&nbsp;Constantin Zopounidis","doi":"10.1111/itor.13531","DOIUrl":"https://doi.org/10.1111/itor.13531","url":null,"abstract":"","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 2","pages":"1220-1221"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142404300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Special Issue on “Managing Supply Chain Resilience in the Digital Economy Era”","authors":"","doi":"10.1111/itor.13528","DOIUrl":"https://doi.org/10.1111/itor.13528","url":null,"abstract":"","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 2","pages":"1214-1215"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142404275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}