{"title":"On-line strategy selection for reducing overcrowding in an Emergency Department","authors":"Cristiano Fabbri , Michele Lombardi , Enrico Malaguti , Michele Monaci","doi":"10.1016/j.omega.2024.103098","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103098","url":null,"abstract":"<div><p>Overcrowding is a well-known major issue affecting the behavior of an Emergency Department (ED), as it is responsible for patients’ dissatisfaction and has a negative impact on the quality of workers’ performance. Dealing with overcrowding in an ED is complicated by lack of its precise definition and by exogenous and stochastic nature of requests to be served. In this paper, we present a Decision Support System (DSS) based on the integration of a Deep Neural Network for dealing with the sources of uncertainty and a simulation tool to evaluate how specific management policies affect the ED behavior. The DSS is designed to be run on-line, dynamically suggesting the most suitable policy to be implemented in the ED. We evaluate the performance of the DSS on a specific major ED located in northern Italy. Numerical results show that overcrowding can be considerably reduced by allowing a dynamic selection among a limited set of simple policies for queue management.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0305048324000641/pdfft?md5=73a244287ddb46f885f084872bfe9105&pid=1-s2.0-S0305048324000641-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140641565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mostafa Pazoki , Hamed Samarghandi , Mehdi Behroozi
{"title":"Increasing supply chain resiliency through equilibrium pricing and stipulating transportation quota regulation","authors":"Mostafa Pazoki , Hamed Samarghandi , Mehdi Behroozi","doi":"10.1016/j.omega.2024.103097","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103097","url":null,"abstract":"<div><p>Supply chain disruption can occur for a variety of reasons, including natural disasters or market dynamics for which resilient strategies should be designed. If the disruption is profound and has dire consequences for the economy, it calls for the regulator’s intervention to minimize the impact for the betterment of the society. This paper investigates the minimum quota regulation on transport amounts of a shipping company with limited capacity that transports a group of products with heterogeneous transportation and production costs and prices. An interesting example can be found in the North American rail transportation market, where rail capacity is used for a variety of products and commodities, such as oil and grains. Similarly, in Europe, the supply chain for grain produced in Ukraine is disrupted by the Ukraine war and the blockade of the maritime transport routes. This siege puts pressure on the rail transport capacity of Ukraine and its neighboring countries to the west, which needs to be shared to ship a variety of products, including grains, military, and humanitarian supplies. Such situations require the proper execution of government intervention for effective management of limited transport capacity to avoid rippling effects throughout the economy. We propose mathematical models and solutions for market players and the government in a Canadian case study. Subsequently, the conditions that justify government intervention are identified, and an algorithm is presented to obtain the optimum minimum quotas.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S030504832400063X/pdfft?md5=c87da5c787bdfb18bd8c9a9623a7b72a&pid=1-s2.0-S030504832400063X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140641564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"When outpatient appointment meets online consultation: A joint scheduling optimization framework","authors":"Hainan Guo , Yue Xie , Bowen Jiang , Jiafu Tang","doi":"10.1016/j.omega.2024.103101","DOIUrl":"10.1016/j.omega.2024.103101","url":null,"abstract":"<div><p>While the provision of Online Consultation Services (OCS) has brought convenience to patients, the original offline outpatient workflow may struggle to maintain efficiency. Hospital managers’ concerns lie on how to reconcile the operations of offline service with the provision of OCS and what are the latent impacts of OCS on the operational performances of healthcare system. The outpatient appointment scheduling is a crucial part of the workflow decision that affects both quality of offline services and the fragmented idle time that doctors can reply to their Follow-up patients (FUP) during working hours. To smooth the fluctuations in workload of OCS, we introduce a novel decision variable—the recommended maximum number of FUP that a doctor should serve during overtime hours (FUP-MN)—and propose an inter-day service shifting strategy that any requests for OCS exceeding the FUP-MN will be deferred to be served in the fragmented idle time of the next session. We formulate a stochastic programming model to search for the optimal combination of the appointment schedule and FUP-MN. Propositions are conducted to demonstrate the model is valid not only in coordinating the dual demand for online and offline services, but also in restricting the potential overflow of OCS requests. We provide a general solution approach and also develop a heuristic algorithm to quickly obtain optimal workflows at different OCS demand levels. The numerical experimental results indicate that an appropriate introduction of OCS can give the healthcare system a strong ability to resist the adverse effects of uncertainty.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140787247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CWBCM method to determine the importance of classification performance evaluation criteria in machine learning: Case studies of COVID-19, Diabetes, and Thyroid Disease","authors":"Maede Parishani, Morteza Rasti-Barzoki","doi":"10.1016/j.omega.2024.103096","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103096","url":null,"abstract":"<div><p>Problems with multiple conflicting criteria are usually modeled by the methods proposed in the field of Multi-Criteria Decision Making (MCDM). In MCDM, one of the most important topics is the weighting of criteria. On the other hand, classification is employed in numerous real-world issues, like disease diagnosis. Diverse algorithms have been developed for this purpose. It is important to evaluate the classification performance in every problem by evaluating algorithms. The evaluation of algorithms includes several conflicting criteria; Therefore, it can be represented as an MCDM problem. We aim to develop a new weighting method that can be used for the classification problem with more than two classes, involve the risk of threatening human life, and consider minor features for different diseases in weighting. At present, none of the existing weighting methods fulfill these requirements. This research presents a new method called “Criteria Weighting Based on Confusion Matrix (CWBCM)” and our innovation is that, for the first time, all these gaps are filled with this method. This method calculates the exact importance of criteria using the confusion matrix in machine learning. The proposed method has been implemented on six different datasets of three diseases: COVID-19, thyroid, and diabetes, and compared with two common methods, Shannon and AHP. Two methods, TOPSIS and EDAS, were also used to rank the classifiers. Finally, the results show that our method is superior to the other two weighting methods in all critical factors and has unique features that other methods do not have.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140557420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent design of sensor networks for data-driven sensor maintenance at railways","authors":"Alena Otto , Christian Tilk","doi":"10.1016/j.omega.2024.103094","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103094","url":null,"abstract":"<div><p>With rapid advances in digitization, many critical processes in transportation, industries, and our daily life rely on sensor measurements. With time, however, the measurements may get gradually biased and their precision deteriorates, leading to an enhanced risk of major disruptions caused by false sensor measurements. All single sensor measurements are uncertain and deviate from the true value. To detect malfunctioning sensors early on, a set of recent measurements of each sensor has to be constantly cross-checked against the measurements of a given number of other sensors, i.e., sensors should form a diagnosable network.</p><p>In this article, we examine the intelligent positioning of safety-relevant sensors at railways such that the installed sensors can constantly cross-check each other and the number of the required sensors is minimized. The arising <em><u>s</u>ensor <u>p</u>ositioning <u>p</u>roblem (SPP)</em> belongs to the family of the coordinated set covering problems with two binary matrices: the choice of columns in one matrix implies the selection of specific columns and rows in the other matrix. We formulate an integer program, provide some formal analysis of the SPP and design a customized large neighborhood search metaheuristic RuM, which finds close-to-optimality solutions fast. In our computational experiments, we show that if we ignore the diagnosability requirement, the installed sensors cannot sufficiently cross-check each other in most cases. However, it costs only a few (or even no) additional sensors to ensure the diagnosability of the sensor network.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0305048324000616/pdfft?md5=9cfc42b4662090dafaf2cc7bb9fbcc8e&pid=1-s2.0-S0305048324000616-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140618960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuchen Li , Ming Liu , Francisco Saldanha-da-Gama , Zaoli Yang
{"title":"Risk-averse two-stage stochastic programming for assembly line reconfiguration with dynamic lot sizes","authors":"Yuchen Li , Ming Liu , Francisco Saldanha-da-Gama , Zaoli Yang","doi":"10.1016/j.omega.2024.103092","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103092","url":null,"abstract":"<div><p>In this paper, a comprehensive optimization problem is developed for a composite of an assembly line reconfiguration problem with multiple lines and a capacitated lot-sizing problem. Multiple products are considered, whose demand is uncertain and is dynamically forecasted. The production planner is assumed to be risk-averse, and decisions are made contingent upon the risk preference. To model the problem, a stochastic program with two stages is utilized. A solution approach is devised using a divide-and-conquer algorithm, which incorporates a set of valid inequalities. The effectiveness and efficiency of the proposed solution approach are assessed through a series of computational tests. Finally, a case study focusing on an engine production process is presented, leading to the derivation of several valuable insights.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140546019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the sigma-mu stochastic multicriteria analysis: Exact solutions for common particular cases","authors":"Luis C. Dias","doi":"10.1016/j.omega.2024.103093","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103093","url":null,"abstract":"<div><p>The sigma-mu approach is one of the recent innovations in the field of multicriteria decision aiding and composite indicators, extending the stochastic multicriteria acceptability analysis (SMAA) toolbox. The initial stage of this method involves computing the mean (mu) and standard deviation (sigma) for the composite value of the units under evaluation, considering a stochastic distribution on a set of admissible weights. This work develops closed-form formulas to obtain exact values for mu and sigma without needing approximations via Monte-Carlo simulations, which can be applied in some cases that are quite common. In terms of aggregation, these cases are characterized by an additive model, such as a weighted sum, a multiattribute value function, or PROMETHEE II. In terms of stochastic distributions, these cases include uniformly distributed unconstrained vectors of weights, rank-ordered vectors of weights, or lower-bounded weights. The developed formulas are applied to a didactic example and some open problems for future research are suggested.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0305048324000604/pdfft?md5=57a951d2ae5b4f72707653330f1526b1&pid=1-s2.0-S0305048324000604-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140546020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revisiting relational-based ordinal classification methods from a more flexible conception of characteristic profiles","authors":"Raymundo Diaz , Eduardo Fernández , José Rui Figueira , Jorge Navarro , Efrain Solares","doi":"10.1016/j.omega.2024.103080","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103080","url":null,"abstract":"<div><p>One of the main ways to represent classes in multiple criteria ordinal classification is using <em>characteristic</em> profiles, conceived as typical actions of their respective class. In this paper, our primary focus is on deepening and making more flexible this concept. We propose a new relational-based ordinal classification method, in which profiles can be extended to be more general assignment examples, belonging to the “least preferred” and the “most preferred” preference part of each class, even belonging to the limiting boundaries between adjacent classes. Preferences are modeled by a general reflexive relation. The novel method provides a systematic framework for refining and improving both the reference set and the preference relation model. This proposal helps bridge the gap between different paradigms in relational multiple criteria ordinal classification. The method's remarkable adaptability in handling reference actions, combined with the general feature of the preference relation, distinguishes it from existing ordinal classification methods, which can be considered particular cases of this comprehensive approach. Not only it is a theoretical improvement, but it is also relevant from a practical standpoint because it allows for a greater number of assignment examples to provide a better characterization of classes and more appropriate assignments, as well as reduces the cognitive effort demanded from decision makers. The new approach offers a way to use the enhanced information provided by the increased number of profiles to help Decision-Makers to choose the final category. The proposal is illustrated with several simple examples.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140604897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The decomposition of efficiency in parallel network production models","authors":"Antonio Peyrache , Maria C.A. Silva","doi":"10.1016/j.omega.2024.103084","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103084","url":null,"abstract":"<div><p>Kao (2012) proposed a method to decompose DMU efficiency into sub-unit efficiencies for parallel production systems. We provide a numerical example showing that the proposed method can yield negative sub-unit efficiency scores under variable returns to scale, against common sense and standard postulates requiring this score to be non-negative. As a solution, we propose a decomposition based on the directional distance function that does not suffer from this problem. In particular, we recognize that the overall inefficiency of the DMU is composed of the sub-units technical inefficiencies and a reallocation inefficiency component. The proposed method can be also applied to non-convex technologies, therefore providing a more general method to implement such a decomposition. Given the connection between the directional distance function and slack-based efficiency measurement, the method can easily be extended to this case as well.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0305048324000513/pdfft?md5=716c80e512dd2be2fd082386c4ac95d0&pid=1-s2.0-S0305048324000513-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140553883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How to empower commercial satellite supply chain: Insurance, government subsidy or blockchain adoption?","authors":"Jichang Dong , Yihan Jing , Zhou He , Ciwei Dong","doi":"10.1016/j.omega.2024.103083","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103083","url":null,"abstract":"<div><p>The rapid growth of the commercial satellite industry is hindered by its vulnerability to launch failures, demanding the adoption of effective risk mitigation strategies. This research investigates such strategies, including the adoption of launch insurance, government subsidies, and blockchain technology integration within satellite launch supply chains. Utilizing Stackelberg games, we model scenarios with launch insurance (Model I), insurance plus government subsidies (Model IG), blockchain-embedded insurance (Model B), and blockchain-embedded insurance with government subsidies (Model BG), to investigate optimal launch and retail pricing strategies and to enhance launch success probabilities. Our findings demonstrate that government-subsidized launch insurance can create a win-win scenario, while the incorporation of blockchain technology fosters an all-win situation, benefiting all stakeholders, including consumers. Notably, the study reveals a synergistic relationship between government subsidies and blockchain technology, significantly enhancing supply chain efficiency and leading to positive spillover effects on profits and social welfare. This research contributes significantly to the understanding of managerial implications of these strategies within the commercial space launch market.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140539681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}