Davide La Torre, Hatem Masri, Constantin Zopounidis
{"title":"Special issue on “Multiple Criteria Decision Making for Sustainable Development Goals (SDGs)”","authors":"Davide La Torre, Hatem Masri, 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}
{"title":"Special Issue on “Sharing Platforms for Sustainability: Exploring Strategies, Trade-offs, and Applications”","authors":"","doi":"10.1111/itor.13529","DOIUrl":"https://doi.org/10.1111/itor.13529","url":null,"abstract":"","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 2","pages":"1216-1217"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142404276","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}
<p>Making this world a better place goes along with efforts and challenges. Many of the related issues make logistics a common basis to allow for efficiency in various dimensions, be it related to climate change, healthcare operations or social good in general. This special issue of the <i>International Transactions in Operational Research</i> is a compilation of pioneering research that underscores the pivotal role of logistics optimization in addressing various social challenges. The selected papers reflect a diverse array of applications, from humanitarian aid to healthcare and education, demonstrating the broad impact and potential of operational research in driving social good.</p><p>The journey towards this special issue began with a simple yet profound idea: leveraging logistics and operational research to create solutions that benefit society at large. Each paper included in this issue contributes uniquely to this overarching theme, offering innovative approaches and insights that push the boundaries of conventional logistics and supply chain management.</p><p>The first paper, “The Role of Drones in Disaster Response: A Literature Review of Operations Research Applications”, sets the stage by exploring the applications of drone technology in disaster management. This comprehensive review not only highlights the current state of research but also identifies future directions for leveraging drones in humanitarian logistics.</p><p>Following this, “A Probabilistic Bi-objective Model for a Humanitarian Location-Routing Problem Under Uncertain Demand and Road Closure” delves into the complexities of humanitarian logistics. The paper presents a robust model to address location and routing problems amidst uncertainty, providing crucial insights for effective disaster response planning.</p><p>“A Predictive Multistage Postdisaster Damage Assessment Framework for Drone Routing” continues the focus on humanitarian efforts, introducing a novel framework that enhances post-disaster assessments and optimizes drone routing for timely aid delivery.</p><p>Shifting to social care, the issue includes “Home Visit Scheduling for Family Interventions: A Child Protection Case Study”, which addresses the critical need for efficient scheduling in child protection services. This study exemplifies how operational research can directly contribute to societal welfare by optimizing intervention schedules for vulnerable populations.</p><p>Another significant contribution to social care is “The Rich Heterogeneous Dial-a-Ride Problem with Trip Time Prediction”. This paper presents an advanced approach to managing transportation for individuals requiring special assistance, improving both efficiency and service quality.</p><p>Healthcare logistics is represented by “Variable Neighborhood Search Approach to Face-Shield Delivery During Pandemic Periods”, which showcases the application of operational research in managing healthcare supply chains during crises. This timely res
我们诚邀各位讲师、与会者、作者和审稿人探讨这些论文，与我们一起推动物流优化领域的发展，以造福社会。
{"title":"Preface to the Special Issue on Logistics Optimization for Social Good","authors":"Jesica de Armas, Helena R. Lourenço, Stefan Voß","doi":"10.1111/itor.13526","DOIUrl":"https://doi.org/10.1111/itor.13526","url":null,"abstract":"<p>Making this world a better place goes along with efforts and challenges. Many of the related issues make logistics a common basis to allow for efficiency in various dimensions, be it related to climate change, healthcare operations or social good in general. This special issue of the <i>International Transactions in Operational Research</i> is a compilation of pioneering research that underscores the pivotal role of logistics optimization in addressing various social challenges. The selected papers reflect a diverse array of applications, from humanitarian aid to healthcare and education, demonstrating the broad impact and potential of operational research in driving social good.</p><p>The journey towards this special issue began with a simple yet profound idea: leveraging logistics and operational research to create solutions that benefit society at large. Each paper included in this issue contributes uniquely to this overarching theme, offering innovative approaches and insights that push the boundaries of conventional logistics and supply chain management.</p><p>The first paper, “The Role of Drones in Disaster Response: A Literature Review of Operations Research Applications”, sets the stage by exploring the applications of drone technology in disaster management. This comprehensive review not only highlights the current state of research but also identifies future directions for leveraging drones in humanitarian logistics.</p><p>Following this, “A Probabilistic Bi-objective Model for a Humanitarian Location-Routing Problem Under Uncertain Demand and Road Closure” delves into the complexities of humanitarian logistics. The paper presents a robust model to address location and routing problems amidst uncertainty, providing crucial insights for effective disaster response planning.</p><p>“A Predictive Multistage Postdisaster Damage Assessment Framework for Drone Routing” continues the focus on humanitarian efforts, introducing a novel framework that enhances post-disaster assessments and optimizes drone routing for timely aid delivery.</p><p>Shifting to social care, the issue includes “Home Visit Scheduling for Family Interventions: A Child Protection Case Study”, which addresses the critical need for efficient scheduling in child protection services. This study exemplifies how operational research can directly contribute to societal welfare by optimizing intervention schedules for vulnerable populations.</p><p>Another significant contribution to social care is “The Rich Heterogeneous Dial-a-Ride Problem with Trip Time Prediction”. This paper presents an advanced approach to managing transportation for individuals requiring special assistance, improving both efficiency and service quality.</p><p>Healthcare logistics is represented by “Variable Neighborhood Search Approach to Face-Shield Delivery During Pandemic Periods”, which showcases the application of operational research in managing healthcare supply chains during crises. This timely res","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 2","pages":"543-544"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.13526","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142404301","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 “Optimizing Port and Maritime Logistics: Advances for Sustainable and Efficient Operations”","authors":"","doi":"10.1111/itor.13530","DOIUrl":"https://doi.org/10.1111/itor.13530","url":null,"abstract":"","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"32 2","pages":"1218-1219"},"PeriodicalIF":3.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142404277","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}
Daniel García Rasines, Roi Naveiro, David Ríos Insua, Simón Rodríguez Santana
Pricing decisions stand out as one of the most critical tasks a company faces, particularly in today's digital economy. As with other business decision‐making problems, pricing unfolds in a highly competitive and uncertain environment. Traditional analyses in this area have heavily relied on game theory and its variants. However, an important drawback of these approaches is their reliance on common knowledge assumptions, which are hardly tenable in competitive business domains. This paper introduces an innovative personalized pricing framework designed to assist decision‐makers in undertaking pricing decisions amidst competition, considering both buyer's and competitors' preferences. Our approach (i) establishes a coherent framework for modeling competition mitigating common knowledge assumptions; (ii) proposes a principled method to forecast competitors' pricing and customers' purchasing decisions, acknowledging major business uncertainties; and (iii) encourages structured thinking about the competitors' problems, thus enriching the solution process. To illustrate these properties, in addition to a general pricing template, we outline two specifications—one from the retail domain and a more intricate one from the pension fund domain.
{"title":"Personalized pricing decisions through adversarial risk analysis","authors":"Daniel García Rasines, Roi Naveiro, David Ríos Insua, Simón Rodríguez Santana","doi":"10.1111/itor.13545","DOIUrl":"https://doi.org/10.1111/itor.13545","url":null,"abstract":"Pricing decisions stand out as one of the most critical tasks a company faces, particularly in today's digital economy. As with other business decision‐making problems, pricing unfolds in a highly competitive and uncertain environment. Traditional analyses in this area have heavily relied on game theory and its variants. However, an important drawback of these approaches is their reliance on common knowledge assumptions, which are hardly tenable in competitive business domains. This paper introduces an innovative personalized pricing framework designed to assist decision‐makers in undertaking pricing decisions amidst competition, considering both buyer's and competitors' preferences. Our approach (i) establishes a coherent framework for modeling competition mitigating common knowledge assumptions; (ii) proposes a principled method to forecast competitors' pricing and customers' purchasing decisions, acknowledging major business uncertainties; and (iii) encourages structured thinking about the competitors' problems, thus enriching the solution process. To illustrate these properties, in addition to a general pricing template, we outline two specifications—one from the retail domain and a more intricate one from the pension fund domain.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"6 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142268131","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}
This study introduces an algorithm based on the branch‐and‐bound approach for optimizing a main function over the nondominated set of a multiobjective integer programming (MOIP) problem. Initially, is optimized within the feasible solution set of the MOIP. A new efficiency test combining Benson's test with is then developed using an auxiliary optimization program. This program provides both an efficient solution and a lower bound for . Moreover, this solution is the best one for when compared to its alternative solutions for MOIP. Subsequently, efficient cuts are incorporated into the criteria space to eliminate dominated points. Furthermore, the algorithm is tailored to handle scenarios where the objective involves optimizing a linear combination of multiobjective programming criteria over the nondominated set. The study concludes by showcasing the superior performance of the proposed two algorithms through comparison with existing approaches on well‐known problem instances from the literature.
{"title":"An efficient branch‐and‐bound algorithm to optimize a function over a nondominated set","authors":"Lamia Zerfa, Mohamed El‐Amine Chergui","doi":"10.1111/itor.13547","DOIUrl":"https://doi.org/10.1111/itor.13547","url":null,"abstract":"This study introduces an algorithm based on the branch‐and‐bound approach for optimizing a main function over the nondominated set of a multiobjective integer programming (MOIP) problem. Initially, is optimized within the feasible solution set of the MOIP. A new efficiency test combining Benson's test with is then developed using an auxiliary optimization program. This program provides both an efficient solution and a lower bound for . Moreover, this solution is the best one for when compared to its alternative solutions for MOIP. Subsequently, efficient cuts are incorporated into the criteria space to eliminate dominated points. Furthermore, the algorithm is tailored to handle scenarios where the objective involves optimizing a linear combination of multiobjective programming criteria over the nondominated set. The study concludes by showcasing the superior performance of the proposed two algorithms through comparison with existing approaches on well‐known problem instances from the literature.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"15 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142250151","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}
Dovilė Stumbrienė, José L. Ruiz, Inmaculada Sirvent
The European Education Area strategic framework is the outcome of the continuous construction of European cooperation in education. It sets EU‐level goals for seven indicators, which should be achieved within a given timeframe. Previous researchers have shown that the national capacity of some countries to implement measurement standards can lag behind the ambition of EU‐level goals. This paper aims to propose a benchmarking approach to set country‐specific targets and identify different strategies for improving national performance toward strategic objectives. We proposed a benefit‐of‐doubt approach that incorporates information on EU‐level goals and employed it with the most recent data for 29 European countries. The model solves a bi‐objective problem that imposes two objectives of closeness, namely that between actual performances and targets (effort) and that between targets and EU‐level goals (adjustment). Managers involved in planning may choose the most appropriate plan based on targets common to all countries or others that consider individual circumstances.
{"title":"Rethinking EU‐level goals: different strategies to improve national performance toward the European Education Area objectives","authors":"Dovilė Stumbrienė, José L. Ruiz, Inmaculada Sirvent","doi":"10.1111/itor.13546","DOIUrl":"https://doi.org/10.1111/itor.13546","url":null,"abstract":"The European Education Area strategic framework is the outcome of the continuous construction of European cooperation in education. It sets EU‐level goals for seven indicators, which should be achieved within a given timeframe. Previous researchers have shown that the national capacity of some countries to implement measurement standards can lag behind the ambition of EU‐level goals. This paper aims to propose a benchmarking approach to set country‐specific targets and identify different strategies for improving national performance toward strategic objectives. We proposed a benefit‐of‐doubt approach that incorporates information on EU‐level goals and employed it with the most recent data for 29 European countries. The model solves a bi‐objective problem that imposes two objectives of closeness, namely that between actual performances and targets (effort) and that between targets and EU‐level goals (adjustment). Managers involved in planning may choose the most appropriate plan based on targets common to all countries or others that consider individual circumstances.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"3 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142250152","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}
A fundamental weakness for online retail channels is that it is impossible for consumers to perfectly ascertain the match between their preferences and the product value before purchasing. In this paper, based on the investment decision of the ex ante product information delivery measure, we study how to solve this problem for a platform‐based supply chain that consists of an online platform and an online seller. According to which firm is responsible for building the product information delivery measure, two possible cases are considered under a game‐theoretic model: the platform‐led case and the seller‐led case. The basic results reveal that compared with the seller‐led product information delivery, the platform‐led case may lead to a higher matching probability for consumers, a higher profit for the whole supply chain, and a win‐win outcome for the platform and the seller. The basic results can still hold when the platform and the seller cooperate under the format of the proportional commission fee, the two firms have different investment efficiencies in the improvement of product information delivery, or consumers have to incur hassle costs to learn the product match probability. When product return is allowed, it is shown that the return policy can play a positive role in making the seller‐led case become a win‐win choice. When the joint investment of product information delivery between the two firms can be formed, the results show that the joint investment may achieve a higher matching probability and higher profits for both the seller and the platform.
{"title":"Platform‐led or seller‐led? Optimal ex ante information delivery strategy for online retail channels with product match uncertainty","authors":"Chen Wang, Yujia Fu, Zhe Yin","doi":"10.1111/itor.13548","DOIUrl":"https://doi.org/10.1111/itor.13548","url":null,"abstract":"A fundamental weakness for online retail channels is that it is impossible for consumers to perfectly ascertain the match between their preferences and the product value before purchasing. In this paper, based on the investment decision of the <jats:italic>ex ante</jats:italic> product information delivery measure, we study how to solve this problem for a platform‐based supply chain that consists of an online platform and an online seller. According to which firm is responsible for building the product information delivery measure, two possible cases are considered under a game‐theoretic model: the platform‐led case and the seller‐led case. The basic results reveal that compared with the seller‐led product information delivery, the platform‐led case may lead to a higher matching probability for consumers, a higher profit for the whole supply chain, and a win‐win outcome for the platform and the seller. The basic results can still hold when the platform and the seller cooperate under the format of the proportional commission fee, the two firms have different investment efficiencies in the improvement of product information delivery, or consumers have to incur hassle costs to learn the product match probability. When product return is allowed, it is shown that the return policy can play a positive role in making the seller‐led case become a win‐win choice. When the joint investment of product information delivery between the two firms can be formed, the results show that the joint investment may achieve a higher matching probability and higher profits for both the seller and the platform.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"7 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142216750","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}
In recent years, platforms have launched their private labels based on valuable consumer data and efficient supply chains. At the same time, some platforms share consumers’ preference information to help manufacturers in producing suitable products. In this paper, we consider a scenario where a platform sells its private label product directly and the manufacturer sells its national brand product through the platform. This study mainly investigates the platform's preference‐sharing strategy. We find that a win–win situation between the platform and manufacturer occurs when the proportion taken by the platform is high, information accuracy is low, and adjustment cost is extremely low. Otherwise, a lose–win, win–lose, or lose–lose scenario may arise. Furthermore, when the adjustment cost is extremely high or low, information sharing can be arranged through some payments. Finally, the study demonstrates that sharing preference information can either increase or decrease consumer surplus and social welfare.
{"title":"Platform's preference information sharing in the presence of private label","authors":"Xiaomin Liu, Wenping Li","doi":"10.1111/itor.13542","DOIUrl":"https://doi.org/10.1111/itor.13542","url":null,"abstract":"In recent years, platforms have launched their private labels based on valuable consumer data and efficient supply chains. At the same time, some platforms share consumers’ preference information to help manufacturers in producing suitable products. In this paper, we consider a scenario where a platform sells its private label product directly and the manufacturer sells its national brand product through the platform. This study mainly investigates the platform's preference‐sharing strategy. We find that a win–win situation between the platform and manufacturer occurs when the proportion taken by the platform is high, information accuracy is low, and adjustment cost is extremely low. Otherwise, a lose–win, win–lose, or lose–lose scenario may arise. Furthermore, when the adjustment cost is extremely high or low, information sharing can be arranged through some payments. Finally, the study demonstrates that sharing preference information can either increase or decrease consumer surplus and social welfare.","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"52 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142216749","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}
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