{"title":"Impacts of fairness concerns on online food delivery service supply chain","authors":"Shigui Ma, Yong He, Ran Gu","doi":"10.1111/itor.70051","DOIUrl":"https://doi.org/10.1111/itor.70051","url":null,"abstract":"<p>In the online food delivery industry, fairness concerns are always a key factor influencing the performance of restaurants and online food delivery platforms. This study focuses on a two-tier online food delivery service supply chain, where the restaurant provides food and catering services, and the platform offers food delivery services. The study explores four different scenarios: when neither the restaurant nor the platform is concerned about fairness, when only the restaurant is concerned when only the platform is concerned, and when both players are concerned about fairness. By analyzing these scenarios, the optimal strategies of supply chain members are derived. The research findings indicate that the restaurant's fairness concerns negatively affect food quality and catering services, while the platform's fairness concerns negatively affect big data marketing and food delivery services. Furthermore, the study reveals that the platform's fairness concerns not only decrease its own utility but also weaken the utility of its partners.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"34 1","pages":"250-278"},"PeriodicalIF":3.5,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148699990","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}
Šárka Štádlerová, Peter Schütz, Robin Halseth Aakvik, Kenneth André Inghelm Mørkved
{"title":"Location of fueling stations and routing of zero-emission well-boats in the Norwegian aquaculture industry","authors":"Šárka Štádlerová, Peter Schütz, Robin Halseth Aakvik, Kenneth André Inghelm Mørkved","doi":"10.1111/itor.70098","DOIUrl":"https://doi.org/10.1111/itor.70098","url":null,"abstract":"<p>We study the problem of locating hydrogen fueling stations for zero-emission aquaculture vessels in Norway and model the problem as a location-routing problem, considering both the location of hydrogen fueling stations and the routing of aquaculture vessels. The problem is formulated as an open route model with energy constraints accounting for limited vessel range. The model determines the optimal locations for fueling stations and selects the optimal routes to be sailed such that the total costs of satisfying demand are minimized. The total costs consist of both investment costs in fueling stations and fuel costs incurred by the aquaculture vessels. We compare the computational results for an arc-flow formulation and a path-flow formulation with a priori route generation. The results show that the path-flow formulation outperforms the arc-flow formulation. However, the performance of the path-flow formulation is highly affected by the vessel range since a longer range results in a higher number of generated routes and higher run times. A sensitivity analysis on the impact of vessel range reveals that a larger vessel range leads to a lower number of opened fueling stations and also a lower number of deployed vessels. We also include a post-processing matheuristic to reduce the number of deployed vessels needed to meet the demand.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"34 1","pages":"311-336"},"PeriodicalIF":3.5,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.70098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148700005","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}
Andreas Breivik Ormevik, Kjetil Fagerholt, Frank Meisel
{"title":"Emission reduction through resource sharing in offshore logistics: a case from the North Sea","authors":"Andreas Breivik Ormevik, Kjetil Fagerholt, Frank Meisel","doi":"10.1111/itor.70084","DOIUrl":"https://doi.org/10.1111/itor.70084","url":null,"abstract":"<p>On the Norwegian continental shelf, multiple oil and gas companies operate a large number of offshore installations used for the extraction of oil and gas resources. The cargo distribution takes place with specialized platform supply vessels (PSVs) from designated onshore supply bases located along the coast, and each oil and gas company operates its own fleet of PSVs used to fulfill demands at its installations. The PSVs are costly, and operating them yields large <span></span><math>\u0000 <semantics>\u0000 <msub>\u0000 <mi>CO</mi>\u0000 <mn>2</mn>\u0000 </msub>\u0000 <annotation>${rm CO}_2$</annotation>\u0000 </semantics></math> emissions. In order to contribute to reduced emissions and costs from the offshore logistics, we consider a supply vessel planning problem with resource sharing, where the oil and gas companies share supply bases and PSV fleets in order to increase the efficiency of the fleet, with fewer vessels needed and higher utilization of cargo capacity on each route. We present a binary programming model and carry out a case study based on real data from four different operators (and two supply bases) servicing 39 installations in the North Sea. The potential for reducing emissions from the logistics operations is investigated for various resource-sharing configurations. Our results show that, on average, sharing resources in this specific part of the Norwegian continental shelf can reduce emissions by approximately 16%. Furthermore, we find that the overall contracted fleet of PSVs can be reduced by up to five vessels from an initial fleet of 19 vessels, yielding great cost savings.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"34 1","pages":"282-310"},"PeriodicalIF":3.5,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148699865","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":"Assessment of Service Quality of Online Fresh Food Service Platforms: Leveraging Large Language Model Information Extraction Technology and Trustworthy Knowledge Aggregation Algorithms","authors":"Yi Yang, Xiangjun Wang, Yuan Tang, Qing Liu","doi":"10.1111/itor.70122","DOIUrl":"https://doi.org/10.1111/itor.70122","url":null,"abstract":"<p>With the rapid development of e-commerce in the fresh agricultural products sector, while it has brought convenience to consumers, it has also led to quality-related issues such as spoilage and adulteration. Online complaint platforms, such as Black Complaint, offer consumers a public and real-time channel to report problems. This study aims to develop a systematic online service quality assessment model for e-commerce of fresh foods. To achieve this objective, the paper proposes an innovative multistep approach by integrating large language models (LLMs) technology with information theory. Specifically, the first step involves using LLM prompting techniques and the Chain of Thought method to classify the attributes of the complaint text and assess the levels of consumer satisfaction from user-generated complaint texts. This enables precise classification and multidimensional analysis of complaints. Subsequently, expert evaluation criteria—covering dimensions such as delivery timeliness, product quality, and category richness—are incorporated to ensure a comprehensive service quality assessment. To effectively integrate both expert evaluations and consumer feedback, the basic uncertain interval q-Rung orthopair fuzzy information and its aggregation operator are employed. A service quality attribute-based attitude characteristic target optimization model is then constructed to address uncertainties in expert assessments and consumer opinions. Finally, through a comparative analysis of four main fresh e-commerce platforms, the proposed model demonstrates superior performance in practical applications. This research not only overcomes the limitations of existing service quality evaluation methods but also provides a systematic and actionable framework to improve the service quality of fresh e-commerce platforms.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"34 1","pages":"96-133"},"PeriodicalIF":3.5,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148700088","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":"Two-stage presale strategy under yield uncertainty: fresh product supply chain optimization with risk-averse suppliers","authors":"Yuxiu Liang, Lindu Zhao","doi":"10.1111/itor.70116","DOIUrl":"https://doi.org/10.1111/itor.70116","url":null,"abstract":"<p>This study examines the dynamic presale strategy of fresh agricultural products based on the risk to suppliers when involved in the planting risk of fresh agricultural products (shortage or overplanting). We use a two-stage fresh produce supply chain system including single suppliers and retailers. Suppliers make decisions before planting and maturity, and retailers make decisions at the spot-sale stage. Consumers are strategic and make decisions at the purchase stage based on their maximum utility. Suppliers reduce the uncertainty involved in planting risk through the preplanting and prematurity presale, whereas their risk-averse behavior is modeled through the constant absolute risk-aversion utility function. Retailers sell mature, fresh agricultural products and optimize their sales strategies according to market demand and supply conditions. This study analyzes the optimal decisions of supply chain members at each stage by establishing a multistage dynamic game model. The results reveal that the degree of risk aversion of suppliers and uncertainty of market demand significantly affect their planting decisions and two-stage presale pricing. The numerical simulation shows that the higher the supplier's degree of risk avoidance, the lower the planting volume and the higher the price in the presale stage. Lower random output forces suppliers to reduce planting volumes and presale prices, reducing profits and increasing volatility in the overall supply chain. This study provides a theoretical basis and practical guidance for dynamic presale and spot-sale decisions in fresh agricultural product supply chains.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"34 1","pages":"134-161"},"PeriodicalIF":3.5,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148700053","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":"Information sharing and procurement strategies in agricultural supply chains under retailer competition","authors":"Yaping Zhao, Xiaoxin Ren, Zelong Yi, Yifan Wei","doi":"10.1111/itor.70150","DOIUrl":"https://doi.org/10.1111/itor.70150","url":null,"abstract":"<p>This study examines the interaction between information sharing and procurement strategies in agricultural supply chains with competing retailers. To do so, we establish a game-theoretic model consisting of one farmer cooperative and two brand retailers that differ in both brand strength and access to market information. The strong-brand retailer holds more accurate demand signals, while the farmer cooperative sets the wholesale price, and both retailers decide their procurement quantities either from self-operated production bases or from the cooperative for resale in the end market. The analysis first explores how different information-sharing structures affect procurement decisions and supply chain performance, and then derives the optimal information-sharing strategy under various cost and information conditions. The results indicate that the interaction between information sharing and procurement decisions significantly influences wholesale pricing, order quantities, and profit allocation. When the sourcing cost or signal precision reaches certain thresholds, the strong-brand retailer chooses to share demand information with the cooperative, while the cooperative decides whether to pass this information to the weak-brand retailer based on its profit trade-offs. Overall, procurement and information-sharing strategies are closely interrelated, and their interaction jointly determines the equilibrium sourcing structure and overall performance of the agricultural supply chain. This study provides actionable managerial insights for farmer cooperatives and retailers on how to align pricing, information sharing, and procurement decisions to enhance competitiveness and achieve mutual benefits.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"34 1","pages":"185-216"},"PeriodicalIF":3.5,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148699856","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}
Julian Neugebauer, Ahmet Cürebal, Leonard Heilig, Stefan Voß
{"title":"Straddle carrier routing optimization at container terminals utilizing telemetry-based prediction","authors":"Julian Neugebauer, Ahmet Cürebal, Leonard Heilig, Stefan Voß","doi":"10.1111/itor.70186","DOIUrl":"https://doi.org/10.1111/itor.70186","url":null,"abstract":"<p>Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real-world practices at container terminals. Using telemetry data and predictions based on machine learning, we analyze travel times. This information is then incorporated into an optimization framework for horizontal transport dispatching. In a case study with straddle carrier operations for a container terminal in Hamburg, Germany, we focus on (meta)heuristics for solving related vehicle routing problems. Using a greedy algorithm, local search, and variable neighborhood descent, we achieve a reduction in travel times of 17% compared to current operations controlled by the terminal operating system.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"34 1","pages":"429-459"},"PeriodicalIF":3.5,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.70186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148700002","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}
Nazanin Sharif, Mikael Rönnqvist, Jean-François Cordeau, Jean-François Audy, Gurjeet Warya
{"title":"Multi-objective maritime vessel routing with safety considerations","authors":"Nazanin Sharif, Mikael Rönnqvist, Jean-François Cordeau, Jean-François Audy, Gurjeet Warya","doi":"10.1111/itor.70117","DOIUrl":"https://doi.org/10.1111/itor.70117","url":null,"abstract":"<p>The routing of maritime vessels is a challenging optimization problem that involves finding an adequate balance between conflicting and multiple objectives. This paper proposes a methodology based on inverse optimization to find appropriate objective weights that account for conflicting objectives. To formulate the inverse optimization problem, we integrate a weighted multi-objective function in a model where duality for a network formulation and Karush–Kuhn–Tucker optimality conditions are used as key components. The objective includes route time, fuel consumption, and multiple safety considerations including dynamic stability, the probability of bow slamming, and green water occurrences. The motivation behind our choice of approach lies in the complexity of determining objective weights in multi-objective problems and the need for incorporating the preferences of multiple stakeholders. To test the proposed approach, we use “best practice routes” based on expert knowledge, real-world weather data, and domain-specific objective analysis. Within the scope of this study, these routes are generated using an optimization model with predefined objective weights applied to evaluate the efficacy of the approach. The results demonstrate that the proposed inverse optimization model identifies the weights associated with the best practice routes. A comparison with the analytic hierarchy process (AHP) shows that inverse optimization produces routing decisions more closely aligned with expert-defined best practice routes, while AHP introduces discrepancies in fuel consumption and travel time, leading to suboptimal routing.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"34 1","pages":"337-371"},"PeriodicalIF":3.5,"publicationDate":"2026-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.70117","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148700010","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":"Can the localization ratio be considered as a resilience indicator in the supply chain?","authors":"Dmitry Ivanov","doi":"10.1111/itor.70128","DOIUrl":"https://doi.org/10.1111/itor.70128","url":null,"abstract":"<p>Supply chain resilience is concerned with establishing disruption-resistant operational practices and ensuring the achievement of some planned performance responding to shocks. Thus, resilience is both a quality and a quantity. The existing literature is rich in analyzing each of these two parts separately. However, studies connecting quantity and quality perspectives are rare. We position our study in the context of debates about the impact of localization on supply chain resilience. We depart from some industrial practices that use a localization degree to measure resilience. Two substantial contributions emerge from this study. First, we define a localization index of manufacturing activities in the supply chain. Second, we test two hypotheses using a discrete-event simulation model in anyLogistix: (i) Does a localization ratio impact supply chain resilience, and (ii) what role does the severity of shocks play in the impact of localization on supply chain resilience? Our findings suggest that localization impacts supply chain resilience. A positive effect of localization can be observed in scenarios with short-term disruptions, and it decreases with an increase in shock duration and severity. A mixed strategy combining local and global footprints can be recommended as a resilient supply chain strategy.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"33 6","pages":"3698-3713"},"PeriodicalIF":2.9,"publicationDate":"2026-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/itor.70128","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148193873","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}
Valentina Bonomi, Maria Lopes, Daniel Rebelo Santos, Renata Mansini, Ana Paula Barbosa-Pòvoa
{"title":"Allocation-routing problem in a multi-hospital home hospitalization system: the case of a healthcare provider in Portugal","authors":"Valentina Bonomi, Maria Lopes, Daniel Rebelo Santos, Renata Mansini, Ana Paula Barbosa-Pòvoa","doi":"10.1111/itor.70025","DOIUrl":"https://doi.org/10.1111/itor.70025","url":null,"abstract":"<p>Home hospitalization (HH) represents a paradigm shift in healthcare delivery, providing vital patient-centered services that enhance care quality and significantly reduce the burden on conventional healthcare facilities. Given the complexity of HH systems, where specialized nurses and doctors allocate their time between inpatient and outpatient systems, efficiently managing their time and workload becomes critical. For this purpose, we develop the multi-hospital home hospitalization allocation-routing problem as a mixed-integer linear programming formulation. We define three different objective functions: minimizing routing costs, workload balancing among nurses, and the minimization of employed doctors. The model is solved by optimizing each objective function individually and then analyzing the trade-offs by combining the functions in pairs, generating a series of two-objective Pareto frontiers as part of a comprehensive multi-objective framework. The model is validated using benchmark instances derived from HH historical data. Through a single-objective perspective, we provide an economic analysis that assesses the cost implications and the benefits of opening new HH units. Furthermore, the bi-objective results are analyzed presenting Pareto frontiers to facilitate the provider's decision-making process regarding the trade-offs between different objectives. A technique for order of preference by similarity to ideal solution (TOPSIS) analysis is subsequently applied to identify the most promising solution according to varying objectives weights. Finally, useful managerial insights are developed to assess the impact of prioritizing one objective function over the other and the economi implications on different strategic options.</p>","PeriodicalId":49176,"journal":{"name":"International Transactions in Operational Research","volume":"33 6","pages":"4110-4141"},"PeriodicalIF":2.9,"publicationDate":"2026-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148194049","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}