Mohammad Saeed Heidary, Devika Kannan, Saeid Dehghani, Hassan Mina
{"title":"A decision support system for physician scheduling during a public health crisis: a mathematical programming model","authors":"Mohammad Saeed Heidary, Devika Kannan, Saeid Dehghani, Hassan Mina","doi":"10.1007/s10479-025-06654-0","DOIUrl":"10.1007/s10479-025-06654-0","url":null,"abstract":"<div><p>With the occurrence of a public health crisis, the demand for healthcare services increases, which leads to an increase in the workload of hospitals. To overcome this predicament, hospitals should increase the number of their medical staff. Adding new medical staff, especially physicians, is a time-consuming process, and in such a situation, when the society is facing a shortage of physicians, it is almost impossible. Physician scheduling can be a practical solution to overcome this problem. Scheduling physicians without adding new physicians increases the workload of physicians, and this may affect their productivity and the service quality. To solve this problem, in addition to financial incentives, non-financial incentives such as increasing physicians' satisfaction should also be considered. Hence, by applying a novel mixed-integer linear programming (MILP) model, this study configures a decision support system for scheduling physicians by considering physicians' satisfaction during a public health crisis. The purpose of the proposed model is to maximize the fairness in the distribution of workload among physicians by considering their preferences. It should be noted that the satisfaction of physicians is considered using two indicators including equitable shifts distribution and physicians' preferences. The effectiveness of the proposed MILP model is examined using data from a hospital in Iran during the outbreak of the coronavirus disease (COVID-19). The investigated hospital consists of 15 regular departments that are served by 79 physicians. With the spread of COVID-19 pandemic, three departments are added to the existing departments to serve the COVID-19 patients. Finally, the proposed MILP model is implemented with and without considering physicians' preferences, and the effect of considering preferences on physician scheduling is shown.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"351 3","pages":"1831 - 1881"},"PeriodicalIF":4.5,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-025-06654-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"EOQ model with defective products, batch shipment and partial backorders","authors":"Harun Öztürk, Ioannis Konstantaras","doi":"10.1007/s10479-025-06669-7","DOIUrl":"10.1007/s10479-025-06669-7","url":null,"abstract":"<div><p>The existing literature on the economic order quantity (EOQ) problem with backordering does not address the impact of batch shipments on backordering behavior in a business to customer (B2C) environment. This study develops inventory models for a retailer receiving batch shipments and managing inventory through backorders. In this scenario, a large quantity of items is received, some of which are found to be defective. To identify defective items, the retailer conducts a 100% inspection of the goods received. Once inspected, the saleable products are added to the warehouse inventory in batches, rather than individually. The retailer follows a policy of receiving equal-sized batches at regular time intervals, deciding on the number of batches, as well as the ordering and backordering quantities. The analysis explores two approaches for handling defective products, incorporating time-proportioning for the backordering cost and a penalty cost for each lost unit. The classical optimization technique is applied to determine the optimal policy. A numerical example demonstrates the theory, with results showing that partial recovery of customer loyalty and product repair are more profitable approaches.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"351 3","pages":"1941 - 1988"},"PeriodicalIF":4.5,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-025-06669-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ala-Eddine Yahiaoui, Mikael Rönnqvist, Jean-François Audy
{"title":"A mathheuristic approach for the vehicle routing problem with queuing considerations","authors":"Ala-Eddine Yahiaoui, Mikael Rönnqvist, Jean-François Audy","doi":"10.1007/s10479-025-06647-z","DOIUrl":"10.1007/s10479-025-06647-z","url":null,"abstract":"<div><p>Queuing in vehicle routing problems happens when a given node requires to be visited by several vehicles, whereas only a limited number of vehicles can perform the service simultaneously. Hence, some vehicles must wait until the node is available. We present in this paper a mathheuristic approach to solve the problem. This approach incorporates two phases. The first phase executes a rolling horizon heuristic multiple times to generate an initial set of solutions. Those generated solutions are used to initialize a pool of routes. In the second phase, a column-generation based procedure is used to generate new routes. The contribution of our paper can be summarized as follows. (1) We implemented an efficient set partitioning model that allocates pre-determined slots of time to service operations of vehicles. (2) We proposed fast pricing heuristics to generate new routes with negative reduced costs. (3) The newly generated routes are based on existing ones, keeping the same physical description but the starting times of service operations are modified to better fit the queuing aspects. Performance evaluation has been conducted using instances derived from data provided by forest companies. Experiments proved the effectiveness of the proposed approach, by recording low route duration and achieving almost zero queuing times compared to the initial pool of solutions.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"350 3","pages":"1307 - 1330"},"PeriodicalIF":4.5,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emergency preparedness: optimal pharmacy purchasing strategies","authors":"Renbang Shan, Li Luo, Jie Xiang","doi":"10.1007/s10479-025-06677-7","DOIUrl":"10.1007/s10479-025-06677-7","url":null,"abstract":"<div><p>This study examines the purchasing decision-making of retail pharmacies when the potential for emergencies arises within a single cycle. Beyond accounting for conventional demand, retail pharmacies also need to plan for emergency demand. This paper employs the classic newsvendor model as a benchmark (PN) and explores three pre-purchasing strategies: a combination of conventional procurement and option procurement (POM), one-time procurement taking possible emergencies into account (PNO), a combination of conventional procurement and emergency procurement (PNE). Through an analysis of these procurement strategies, we find that, while POM usually performs better as a strategy, its position is affected by emergency shortage cost, exercise price, inventory cost, and the timing of emergency situations. Especially, exercise price changes does not always benefit retail pharmacies. Furthermore, neither PNO nor PNE provide any absolute advantages. PNO performs excellently when faced with higher emergency wholesale prices or lower emergency shortage costs. On the contrary, under certain conditions, PNE becomes a favorable choice for retail pharmacies. Specifically, when the emergency demand of retail pharmacies increases significantly, PNE is most suitable for retail pharmacies, while PNO is more advantageous when emergency situations occur near the end of the cycle.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"350 3","pages":"1207 - 1252"},"PeriodicalIF":4.5,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roger X. Lera-Leri, Filippo Bistaffa, Tomas Trescak, Juan A. Rodríguez-Aguilar
{"title":"Computing job-tailored degree plans towards the acquisition of professional skills","authors":"Roger X. Lera-Leri, Filippo Bistaffa, Tomas Trescak, Juan A. Rodríguez-Aguilar","doi":"10.1007/s10479-025-06678-6","DOIUrl":"10.1007/s10479-025-06678-6","url":null,"abstract":"<div><p>Sensibly planning the subjects to study during a university degree is one of the most crucial tasks that impact the future professional life of a student. Nonetheless, to the best of our knowledge, no automated solution is available for students who want to plan their desired degree path and maximize the skills required by desired or target job(s). In this paper, we consider the <i>Degree Planning Problem</i> (DPP), which aims at computing degree plans composed of university subjects for students during the completion of an undergraduate degree. Specifically, we aim to obtain the best set of skills matching the requirements of students’ preferred job(s). To achieve this objective, we propose a flexible and scalable approach that solves the DPP in real-time by means of a non-trivial formalization as an optimization problem that can be solved with standard solvers. Finally, we employ real data from our University’s Bachelor in Information and Communications Technology to show, through several use cases, that our approach can be a valuable decision-support tool for students and curriculum designers.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"351 3","pages":"2095 - 2128"},"PeriodicalIF":4.5,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-025-06678-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Applications of advances in operations research methods to achieve sustainable development goals (SDGs) in a supply chain management environment: review and future direction of research","authors":"Kannan Govindan","doi":"10.1007/s10479-025-06643-3","DOIUrl":"10.1007/s10479-025-06643-3","url":null,"abstract":"<div><p>Evidence of the impact of climate change has increased in recent years, forcing supply chain management (SCM) entities to promote sustainability in their operations. Meanwhile, global nations promote their sustainable development goals (SDGs) as one of the most important indicators to achieve sustainability regardless of application. SCM is a complex phenomenon of decision-making, which becomes even more complex when SDGs are adopted in SCM. Despite the central importance of the topic, only a small number of studies have reported on decision-making methods to improve the adoption of SDGs in SCM. To explore the state-of-the-art knowledge of operations research methods (ORMs) and models, we present this important <i>Annals of Operations Research</i> (ANOR) special issue. To introduce the special issue, we review the existing literature on models and methods to promote sustainability in SCM effectively and establish some associated future research directions. The findings of this editorial paper, as well as the articles in the special issue, can be used by both researchers and practitioners to consolidate recent advances and practices for establishing ORMs and models in SCM for effective decision-making to adopt SDGs. Additionally, this special issue paves the way for a solid foundation of advanced methods.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"349 2","pages":"425 - 450"},"PeriodicalIF":4.5,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145122575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei Wang, Haoqing Wang, King-Wah Pang, Lu Zhen, Shuaian Wang
{"title":"Optimizing bunkering and sailing strategies for sustainable shipping: a decision model for reducing costs and carbon emissions","authors":"Wei Wang, Haoqing Wang, King-Wah Pang, Lu Zhen, Shuaian Wang","doi":"10.1007/s10479-025-06650-4","DOIUrl":"10.1007/s10479-025-06650-4","url":null,"abstract":"<div><p>Bunkering costs constitute the largest portion of operational expenses in the shipping industry, directly influencing both economic efficiency and environmental impact. In line with Sustainable Development Goals (SDGs) 12 and 13, this study develops a decision model that jointly optimizes bunkering and sailing speed in liner shipping, with the aim of minimizing fuel costs and reducing carbon emissions. The model explicitly incorporates two often-overlooked aspects of the bunkering process: the requirement for empty tanks before refueling and the fuel inspection process. Due to the presence of infinite-dimensional and nonlinear terms, solving the model is computationally challenging. To address this complexity, we employ approximation algorithms and linearization techniques to transform the model into a mixed-integer linear programming (MILP) formulation. Additionally, we implement a Branch-and-Cut algorithm to enhance computational efficiency. Numerical experiments are conducted to evaluate the model’s performance, along with sensitivity analyses to assess the impact of key parameters. The results demonstrate that both the empty tank requirement and fuel inspection significantly influence bunkering decisions and sailing strategies, with the latter having a more pronounced effect. Moreover, our findings highlight the potential for sustainable fuel management practices to contribute to carbon reduction in maritime transportation. This study provides valuable insights for policymakers and industry stakeholders seeking to balance cost efficiency and environmental sustainability in shipping operations.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"351 3","pages":"2287 - 2305"},"PeriodicalIF":4.5,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144888077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impacts of investor heterogeneity and interactions on price discovery in futures markets: Based on dynamical system and stability analysis","authors":"Qingbin Gong, Zhe Yang, Xundi Diao","doi":"10.1007/s10479-025-06676-8","DOIUrl":"10.1007/s10479-025-06676-8","url":null,"abstract":"<div><p>This paper investigates the impacts of trading behaviors on price discovery in futures markets. A dynamical model with difference equations is proposed to depict the interactions of heterogenous investors and the spot-futures coevolution. The system equilibrium and its stability conditions are mathematically analyzed. In the equilibrium, the futures price and the spot price converge to the fundamental value simultaneously. Stability conditions are necessary for the convergence process as well as the price discovery function. To ensure stability conditions, factors such as investor bounded rationality, risk appetites and market liquidity need to satisfy specific relationships. As the findings show, the arbitrage is not always beneficial to market stability and price discovery. It may increase price fluctuations in some cases. If investors have high degree of rationality, they tend to switch trading strategies with high intensity, which may destabilize the market. The simulations suggest the occurrence of complicated dynamics when stability conditions are violated. It provides theoretical insights into complicated phenomena in futures markets.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"350 3","pages":"957 - 977"},"PeriodicalIF":4.5,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145171089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interactions between store brand introduction and information sharing decisions considering store brand spillover","authors":"Hui Cao, Jinjiang Yan","doi":"10.1007/s10479-025-06628-2","DOIUrl":"10.1007/s10479-025-06628-2","url":null,"abstract":"<div><p>This paper proposes a game-theoretic model to investigate store brand (SB) introduction and information sharing decisions within a co-opetitive supply chain between a national brand (NB) manufacturer and a retailer, where the retailer chooses whether to introduce a store brand and share demand information with the NB manufacturer. In the main model, we consider that the retailer’s store brand introduction decision precedes the information sharing decision. We fully explore four scenarios involving the retailer’s strategic decision characteristics: no store brand introduction and no information sharing (<i>NN</i>), no store brand introduction and information sharing (<i>NS</i>), store brand introduction and no information sharing (<i>IN</i>), and store brand introduction and information sharing (<i>IS</i>). Our analysis draws the following interesting conclusions: Firstly, our research reveals that the NB manufacturer will benefit from SB introduction under certain conditions. Secondly, we demonstrate that the retailer’s store brand introduction and information sharing reinforce each other. Finally, our study also makes a contribution to how the degree of SB spillover and the fixed introduction cost affect the equilibrium strategy outcome.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"350 3","pages":"927 - 956"},"PeriodicalIF":4.5,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145169289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}