Omega-international Journal of Management Science最新文献

{"title":"A comprehensive methodology combining machine learning and unified robust stochastic programming for medical supply chain viability","authors":"Ömer Faruk Yılmaz ,&nbsp;Yongpei Guan ,&nbsp;Beren Gürsoy Yılmaz ,&nbsp;Fatma Betül Yeni ,&nbsp;Gökhan Özçelik","doi":"10.1016/j.omega.2024.103264","DOIUrl":"10.1016/j.omega.2024.103264","url":null,"abstract":"<div><div>This paper addresses the medical kit allocation problem by employing a unified robust stochastic programming (URSP) approach to enhance medical supply chain (MSC) viability during pandemics. A two-stage methodology is developed to account for the inherent uncertainty of demand. It begins with a machine learning (ML) algorithm for contagion level prediction, which adjusts demand forecasts accordingly. Subsequently, the URSP approach incorporates risk aversion and various types of uncertainty by combining stochastic programming and robust optimization through an adjustable weight in the objective function. As a risk-aversion technique, conditional value-at-risk (CVaR) is employed to restrict shortage levels, providing a more realistic assessment of MSC resilience. To balance cost-effectiveness and robustness against a spectrum of uncertainties, the URSP method leverages the strengths of both stochastic programming and robust optimization. Taguchi's orthogonal array design is utilized to generate cases representing combinations of government policies aimed at mitigating potential risks during future epidemics or pandemics. The effectiveness of the proposed methodology is demonstrated through a comprehensive case study conducted in Türkiye, comparing several modeling approaches. Extensive experiments under different types of uncertainties are performed to assess MSC viability. Computational analysis reveals that the URSP approach provides more robust and computationally tractable solutions than the purely stochastic approach and offers more cost-effective kit allocation decisions than the purely robust approach by allowing decision-makers to fine-tune the robustness level based on their priorities. The insights indicate that integrating ML predictions with URSP significantly enhances MSC viability to withstand deep uncertainties during pandemics.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103264"},"PeriodicalIF":6.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166831","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":"Build or cooperate with a bike-sharing system? Operation mode selection of metro operator with different information sharing strategies","authors":"Chang Zhou ,&nbsp;Xiang Li ,&nbsp;Bo Feng","doi":"10.1016/j.omega.2024.103263","DOIUrl":"10.1016/j.omega.2024.103263","url":null,"abstract":"<div><div>To fill the last-mile service gap, a metro operator possessing superior demand information can either build a public bike system incurring a setup cost or cooperate with an existing bike-sharing company through cost-sharing mechanism to provide <em>metro+bike</em> services, corresponding to self-owned mode (S mode) or partnership mode (P mode), respectively. Note that the metro operator acts as a centralized decision maker with a symmetric information structure under the S mode, whereas with an option to share information or not under the P mode. We model a multistage game framework to investigate how the interplay between information sharing strategy and operation mode selection could create value for a <em>metro+bike</em> system with demand uncertainty. From our analysis, information sharing leaves both the metro operator and the bike-sharing company better off, and such positive effect can be strengthened by accurate demand information, especially for the bike-sharing company. Our results, therefore, suggest more caution in the metro operator’s information strategy to prevent his partner from free-riding. When the sharing strategy is in place, a metro operator with weaker predictive capabilities is typically expected to transfer the risk arising from forecasting errors to a partner by engaging in the P mode. Despite expectations, the result indicates that the cost advantage created by a sufficiently high investment efficiency can potentially offset the information disadvantage, ultimately favoring the S mode. We also solve the dual-mode operation cases that allow public bikes and shared bikes to coexist in the marketplace, thereby forcing service providers to engage in Bertrand price competition. Through comparative analyses, we identify that the incentive for the metro operator to share demand information hinges critically on cost efficiency. To elaborate, information sharing is more likely to occur when convenience investment expectations are pessimistic.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103263"},"PeriodicalIF":6.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166830","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":"Dual sourcing under quality improvement uncertainty","authors":"Gang Fang ,&nbsp;Xiang Fang ,&nbsp;Qing-kai Ji ,&nbsp;Jun Li","doi":"10.1016/j.omega.2024.103268","DOIUrl":"10.1016/j.omega.2024.103268","url":null,"abstract":"<div><div>In modern manufacturing, the implementation of dual or multi-sourcing strategies presents challenges concerning the variability in component quality. This study investigates a supply chain where a manufacturer sources components from an incumbent and an entrant supplier, with the latter having lower quality but meeting standards. The entrant aims to enhance quality through research and development (R&amp;D) efforts, which may succeed or fail. Failure in R&amp;D leads the manufacturer to either limit the high-quality component use from the incumbent, offer consistent but lower-performance products in one market, or sell distinct products in two separate markets. We formulate the problem as a two-stage game within defined market structures (single- or two-market) and derive equilibrium solutions for both models. Our findings reveal interesting managerial insights. In both market structures, we surprisingly find that an increase in the likelihood of success for the entrant supplier’s R&amp;D may negatively impact the entrant supplier while benefiting the manufacturer and the other supplier. Dual sourcing is beneficial to the manufacturer in general, except when the entrant supplier is highly uncompetitive in quality. Furthermore, we derive analytical conditions that dictate when each member of the supply chain favors either the single-market model or the two-market model over the other.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103268"},"PeriodicalIF":6.7,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166832","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":"Lot sizing with capacity adjustment using on-site green and grid electricity","authors":"Ayse Akbalik ,&nbsp;Céline Gicquel ,&nbsp;Bernard Penz ,&nbsp;Christophe Rapine","doi":"10.1016/j.omega.2024.103260","DOIUrl":"10.1016/j.omega.2024.103260","url":null,"abstract":"<div><div>This paper investigates from a theoretical point of view how on-site generation of renewable energy can be incorporated in the optimization of a mid-term production and capacity planning problem. Specifically, we consider the generic case of a manufacturer using two energy sources to supply the electricity demand of its plant: an on-site renewable energy source and the electricity grid. The renewable energy source is considered to be free of use, but its available amount of energy fluctuates over time, whereas the grid power is virtually unlimited but incurs a cost per kWh purchased from the external provider. The objective is to satisfy a time-varying demand at a minimal cost over a mid-term horizon. The plant has a stationary nominal production capacity. To deal with the fluctuation of both the demand and the amount of energy supplied by the on-site source, the production capacity can be temporally increased by installing additional capacity, typically by changing the shift pattern or opening more production lines. Increasing the capacity allows to respond to peak demand and to build stock in periods where the energy is cheap but incurs a fixed cost. We study if an optimal solution of this integrated production, capacity, and energy planning problem can be computed efficiently to provide the best compromise. Our objective is to classify the complexity of the deterministic version of the problem. We establish its NP-hardness under mild assumptions and propose three polynomial time algorithms for special cases, according to the amount of energy provided by the renewable source. These algorithms rely on dominance structural properties which allow us to reduce the problem to well-studied lot-sizing problems with capacity or full batch delivery.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103260"},"PeriodicalIF":6.7,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166817","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":"Bed census prediction combining expert opinion and patient statistics","authors":"Hayo Bos ,&nbsp;Stef Baas ,&nbsp;Richard J. Boucherie ,&nbsp;Erwin W. Hans ,&nbsp;Gréanne Leeftink","doi":"10.1016/j.omega.2024.103262","DOIUrl":"10.1016/j.omega.2024.103262","url":null,"abstract":"<div><div>Predictions of bed census are crucial for hospital capacity management choices, encompassing ward sizing, staffing, patient bed assignments, and surgical scheduling. Presently, these predictions heavily rely on doctors’ estimated Expected Discharge Date (EDD). This paper introduces two probabilistic models that integrate EDD with Length of Stay (LoS) distributions derived from data. By employing the Poisson binomial distribution and probabilistic convolution, we generate full census distributions. Applying our approach to real hospital data demonstrates its ability to provide precise predictions, leading to valuable managerial insights.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103262"},"PeriodicalIF":6.7,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167373","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":"Personalized recommendation, behavior-based pricing, or both? Examining privacy concerns from a cost perspective","authors":"Chi Zhou ,&nbsp;Danyang Bai ,&nbsp;Tieshan Li ,&nbsp;Jing Yu","doi":"10.1016/j.omega.2024.103223","DOIUrl":"10.1016/j.omega.2024.103223","url":null,"abstract":"<div><div>In the era of the big data, e-commerce increasingly adopts personalized recommendation and behavior-based pricing (BBP) strategies to enhance consumer experience, while also raising concerns about privacy. This study examines the impact of privacy costs on the effectiveness of those strategies using a two-period Hotelling model. The results indicate that retailers who combine personalized recommendation with BBP strategies can achieve higher prices and profits compared to those who do not employ these strategies, particularly when there are significant differences in privacy costs. Our study further reveals that relying solely on personalized recommendation without incorporating BBP may lead to decreases profit. Moreover, the accuracy of recommendations and variations in privacy costs significantly influence retailers’ strategy choices, emphasizing the importance of these factors in gaining a competitive advantage. This research provides valuable insights for online retailers on how to effectively position themselves in the market while addressing consumer privacy concerns, offering a new perspective on the comprehensive impacts of personalized recommendation and BBP strategies in the business landscape.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103223"},"PeriodicalIF":6.7,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166781","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":"Risk control strategies for inventory pledge financing on cross-border e-commerce platforms empowered by the digital economy","authors":"Aolin Leng ,&nbsp;Maolin Sun ,&nbsp;Jinzhao Shi","doi":"10.1016/j.omega.2024.103251","DOIUrl":"10.1016/j.omega.2024.103251","url":null,"abstract":"<div><div>With the development of cross-border e-commerce (CBEC), CBEC-based inventory pledge financing (CBEC-based IPF) has gradually emerged, where exporters can apply for financing from cross-border e-commerce platforms (CBECPs) with their stocks in overseas warehouses. Due to the intensification of information asymmetry caused by overseas pledges and the impact of exchange rate fluctuations on repayments and settlements, such businesses face increased credit and market risks. Fortunately, the digital economy can empower CBECPs to achieve “post-loan risk management”, such as using big data technology to monitor exporters’ post-loan business activities on the platform and reduce their “credit default risk”, or utilizing online marketing technologies such as search engine optimization and homepage recommendations to promote the sales of exporters’ pledged goods and lower their “market sales risk”. We focus on risk control issues in the CBEC-based IPF under the empowerment of the digital economy. The pre-loan risk control measures consider the setting of the pledge rate, while the post-loan risk control measures towards credit and market risks consider, respectively, the platform's online credit supervision and product sales assistance for exporters in light of the digital economy. On the basis of considering exchange rate fluctuations, we use optimization method to build decision models of a CBECP under two scenarios, i.e., “only control pre-loan risk” and “joint control pre- and post-loan risk”, and find that compared to the former, the latter is more profitable for the CBECP, indicating that the digital economy can empower the CBECP to achieve more comprehensive risk control and improve economic benefits. Furthermore, in the case of the CBECP paying equal risk control cost, its optimal choices for credit and market risk control measures are provided. The results show that when and only when the market risk control is cheaper enough and the budget is limited, the CBECP chooses market risk control; otherwise, it always implements credit risk control. We also extend the model to study the case when the CBECP pays equal risk control level in the post-loan risk control, and conduct numerical experiments to verify the above conclusions. Our findings strongly suggest CBECPs to adopt the “joint pre- and post-loan risk control” in the CBEC-based IPF business, and provide them strategies for choosing between post-loan credit and market risk control measures.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103251"},"PeriodicalIF":6.7,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166783","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":"Preference disaggregation analysis with criteria selection in a regularization framework","authors":"Kun Zhou ,&nbsp;Zaiwu Gong ,&nbsp;Guo Wei ,&nbsp;Roman Słowiński","doi":"10.1016/j.omega.2024.103252","DOIUrl":"10.1016/j.omega.2024.103252","url":null,"abstract":"<div><div>Limited by cognitive abilities, decision-makers (DMs) may struggle to evaluate decision alternatives based on all criteria in multiple criteria decision-making problems. This paper proposes an embedded criteria selection method derived from preference disaggregation technique and regularization theory. The method aims to infer the criteria and value functions used by the DM to evaluate decision alternatives. It measures the quality of criteria subsets by investigating both the empirical error (fitting ability of value functions to preference information) and generalization error (complexity of value functions). Unlike existing approaches that consider only the deviation from linearity as a measure of complexity, we argue that the number of marginal value functions also affects complexity. To address this, we use 0–1 variables to indicate whether a criterion is selected in the value function or not, and construct a criteria selection model with the trade-off between empirical and generalization errors as the objective function. If the criteria are sufficiently discriminative, we identify all supporting criteria sets that can restore preference information without unnecessary criteria. We further analyze the likelihood of criteria being selected by the DM. Finally, the effectiveness of the proposed method is demonstrated by applying it to an example of the green supplier selection problem.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103252"},"PeriodicalIF":6.7,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167367","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":"Dual sourcing hurts supply chain viability? The value of brand-owners’ cooperation under single sourcing","authors":"Baozhuang Niu ,&nbsp;Xinhai Deng ,&nbsp;Fengfeng Xie ,&nbsp;Zifan Shen","doi":"10.1016/j.omega.2024.103250","DOIUrl":"10.1016/j.omega.2024.103250","url":null,"abstract":"<div><div>In the post-pandemic era, maintaining supply chain viability under long-term crises has received increasing attention. Conventional wisdom suggests that diversifying the supply can effectively enhance the viability performance. However, recent business practices, such as Volkswagen's cooperation with XPENG, challenge this intuition by reducing supply diversification. This study therefore examines the cons and pros of two competing brand-owners’ cooperation for the improvement of supply chain viability. We utilize two commonly used indexes, namely, the Risk Loss Index and the Fulfillment Rate Index, to assess the impact of brand-owners’ cooperation. We explore three scenarios: (1) Scenario N, where each brand-owner chooses the non-cooperation strategy and hence, procures from their exclusive supplier; (2) Scenario Y, where both brand-owners choose the cooperation strategy and procure a common component from the same supplier; and (3) Scenario H, where brand-owners choose dual sourcing strategy and procure crosswise from two upstream suppliers. It seems that Scenario H enables stable supply and hedges the supply risk by dual-sourcing. Interestingly, our findings indicate that Scenario Y where brand-owners cooperate on sourcing from a common supplier can be the most effective, while dual sourcing in Scenario H may not always lead to better performance of supply chain viability.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103250"},"PeriodicalIF":6.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167366","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":"Managing resilience and viability of supranational supply chains under epidemic control scenarios","authors":"Jan B. Broekaert ,&nbsp;Faizal Hafiz ,&nbsp;Raja Jayaraman ,&nbsp;Davide La Torre","doi":"10.1016/j.omega.2024.103234","DOIUrl":"10.1016/j.omega.2024.103234","url":null,"abstract":"<div><div>A comprehensive model is presented to evaluate the <em>resilience</em> and <em>viability</em> of supranational supply chains under various epidemic control scenarios. The model integrates a multiplex network of socially connected individuals subjected to a probabilistic SEIRSD epidemic, as well as production configurations monitored for performance capacity. The epidemic evolution within this system depends on four primary cost factors: deployed control strategy, health policy implementation, the value of human life, and economic productivity loss due to the epidemic. These costs are adjusted for GDP differences between countries in the network and are influenced by factors such as the duration and severity of confinement, vaccination efficacy, and healthcare capacity. A Nash equilibrium analysis of SEIRSD load-based costs is employed to identify optimal control strategies. Time To Recovery (TTR) and Longitudinal Service Level (LSL) are used as metrics for assessing the resilience and viability of supply chains. The convergences and conflicts of control strategies are evaluated using TTR and LSL, providing insights into the impact of public health measures on supply chain performance. This methodology offers a framework for policymakers and supply chain managers to make informed decisions during prolonged epidemic conditions. Numerical simulations illustrate the conditions for convergence and conflict between epidemic control policies and supply chain objectives, highlighting the need for dynamic policy adjustments to ensure supply chain resilience and viability.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"133 ","pages":"Article 103234"},"PeriodicalIF":6.7,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167365","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}