Omega-international Journal of Management Science最新文献

{"title":"Holding diverse market beliefs by firms: Information flow, profit performances, and channel structure","authors":"Li Jiang ,&nbsp;Zhongyuan Hao","doi":"10.1016/j.omega.2024.103065","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103065","url":null,"abstract":"<div><p>We investigate the impact of diverse market beliefs held by supply chain firms on information flow and channel efficiency. In presentative settings, suppliers sell substitutable products through retailers to a market with uncertain demand and market competition is in quantity. Structure <span><math><mi>B</mi></math></span> comprises a monopolistic supplier and a monopolistic retailer. With respect to structure <span><math><mi>B</mi></math></span>, structure <span><math><mi>U</mi></math></span> includes competition between suppliers, structure <span><math><mi>D</mi></math></span> includes competition between retailers, while structure <span><math><mrow><mi>S</mi><mi>C</mi></mrow></math></span> includes competition between two supply chains. A retailer has access to a demand signal useful for updating the forecast of market uncertainty. A supplier has no signal access but can offer a payment to a retailer, who decides whether to accept the payment and disclose signal to the supplier, termed information sharing. Suppliers and retailers hold diverse beliefs about market conditions. Knowing each other's market beliefs influences firms’ ex-post operations policies and ex-ante profit perception. We demonstrate that holding diverse beliefs about market uncertainty by firms facilitates information sharing except in the presence of only retailer competition, in which case it deters information sharing. Exchanging market beliefs about market uncertainty among firms strengthens their incentive to engage in information sharing, but it exerts mixed effects on their actual profits. By comparison, suppliers and retailers are more likely to benefit from exchanging market beliefs about market size, although it is inconsequential to information sharing. Moreover, we pinpoint the impacts of holding diverse market beliefs by firms on their relative performances across channel structures.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140041730","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":"A continuous approximation approach to integrated truck and drone delivery systems","authors":"Juan Zhang ,&nbsp;James F. Campbell ,&nbsp;Donald C. Sweeney II","doi":"10.1016/j.omega.2024.103067","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103067","url":null,"abstract":"<div><p>Home package delivery by drones as an alternative or complement to traditional delivery by trucks is attracting considerable attention from the commercial sector as well as academia. While drone delivery may offer considerable benefits, the fundamental issues of how best to deploy drones for small package delivery are still not well understood. Unlike most studies in the literature that consider either truck-drone tandems or drone standalone delivery operations, our research provides a strategic analysis for the optimal design of an integrated drone delivery system in which customers in a service region can be served by a combination of truck-drone (TD) delivery, drone-only (DO) delivery, and truck-only (TO) delivery. We formulate and optimize continuous approximation models to identify the optimal delivery service combination that minimizes the total delivery costs including truck and drone operating and stop costs. We evaluate the impact of a wide range of operating characteristics and delivery environments on the optimal delivery system and the benefits of using drones. Our results suggest that an optimal delivery system design often uses a mix of DO and TD, but TD is the dominant delivery service in most scenarios. The magnitude of the cost savings afforded by the use of drones, relative to truck-only delivery, can be large but strongly depends on the values of key parameters.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140041729","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":"A unified framework for nonperforming loan modeling in bank production: An application of data envelopment analysis","authors":"Hirofumi Fukuyama ,&nbsp;Roman Matousek ,&nbsp;Nickolaos G. Tzeremes","doi":"10.1016/j.omega.2024.103063","DOIUrl":"10.1016/j.omega.2024.103063","url":null,"abstract":"<div><p>The aim of this paper is to conduct a comparative analysis of three environmental approaches in the context of a bank production framework, considering the presence of nonperforming loans (NPLs). Specifically, we examine banks' inefficiency levels using the \"by-production technology,\" \"joint-weak disposable technology,\" and \"material balanced technology.\" To ensure comparability within a directional slack inefficiency framework, we propose a two-step procedure. The study is based on a sample of 379 prominent banks operating in the United States from 2003 to 2017. Our findings reveal that the material balance and by-production technologies result in estimated inefficiency measures with higher sensitivity compared to the estimator utilizing the joint-weak disposable technology. Additionally, we identify distinct properties among the estimators, emphasizing their unique characteristics for modeling nonperforming loans. Finally, our paper sheds light on the differences between the three estimators in relation to banks' inefficiency levels, considering the incorporation of nonperforming loans in the production process.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0305048324000306/pdfft?md5=9e62af86a8d6a2b1a31addf706a28a71&pid=1-s2.0-S0305048324000306-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139949993","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":"A novel regret-rejoice cross-efficiency approach for energy stock portfolio optimization","authors":"Yong-Jun Liu ,&nbsp;Guo-Sen Yang ,&nbsp;Wei-Guo Zhang","doi":"10.1016/j.omega.2024.103051","DOIUrl":"10.1016/j.omega.2024.103051","url":null,"abstract":"<div><p>As climate change intensifies, more and more people realize that it is necessary and urgent to optimize energy structure through constructing energy asset portfolios. However, most of existing literature on energy asset portfolio models neglects real market restrictions, and the related portfolio performance evaluation approaches ignore the impact of the psychological factors of decision makers (DMs) on evaluation results, which limit their applications. To overcome these limitations, we first present a mean-WMCVaR (MWMC) model for energy stock portfolio selection with real features. Then, we employ the proposed MWMC model and its closely related works to yield a set of investment schemes and determine their characteristic index values including mean, WMCVaR, carbon intensity and ESG. Subsequently, we present a novel regret-rejoice cross-efficiency (NRRCE) approach to evaluate the performance of these investment schemes, and then make a comparison with the ones of the other seven competitive evaluation approaches by using an empirical example. Empirical results show that the proposed MWMC model can yield an optimal investment scheme with a better trade-off between economic and ecological benefits, and our NRRCE approach can effectively provide reasonable and reliable evaluation results for different investment schemes.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139920602","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":"Dynamic repositioning in bike-sharing systems with uncertain demand: An improved rolling horizon framework","authors":"Xiang Li ,&nbsp;Xianzhe Wang ,&nbsp;Ziyan Feng","doi":"10.1016/j.omega.2024.103047","DOIUrl":"10.1016/j.omega.2024.103047","url":null,"abstract":"<div><p>The bike-sharing system (BSS) serves as a vital shared mobility mechanism, providing first- and last-mile services in urban transportation. However, one ongoing challenge in the BSS is the spatiotemporal imbalance caused by fluctuating user demand. To address this issue, this paper studies a dynamic bike repositioning problem under scenario-based demand to achieve a balance in inventory levels for electronic fences. Specifically, a multi-period two-stage stochastic model is proposed to make the trade-off between operational costs and service quality. The model incorporates a vehicle no-return (VNR) strategy, which allows vehicles to remain at the last station at the end of each period, awaiting the next repositioning task. To solve the model, an improved rolling horizon framework is introduced to effectively handle the temporal dimension complexity of the multi-period problem. Then a customized hybrid heuristic algorithm based on parallel genetic algorithm and variable neighborhood search is developed to obtain high-quality solutions. To validate the effectiveness and applicability of the proposed method, small-scale and practical-scale numerical experiments are specifically conducted based on real-world BSS data from Beijing, China. The results demonstrate the proposed method (i) creates a substantial reduction in the number of unmet demands when multiple scenarios potentially occur compared to the determined model, (ii) yields an average reduction of 29.04% in operational costs compared to the scheme without the VNR strategy, (iii) overcomes the short-sightedness inherent in the conventional single-period rolling horizon approach, exhibiting closer to optimal performance, and (iv) is superior to baseline approaches in terms of solution quality and efficiency.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139920509","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":"A robust optimization approach for placement of applications in edge computing considering latency uncertainty","authors":"Jaehee Jeong ,&nbsp;Gopika Premsankar ,&nbsp;Bissan Ghaddar ,&nbsp;Sasu Tarkoma","doi":"10.1016/j.omega.2024.103064","DOIUrl":"10.1016/j.omega.2024.103064","url":null,"abstract":"<div><p>Edge computing brings computing and storage resources close to end-users to support new applications and services that require low network latency. It is currently used in a wide range of industries, from industrial automation and augmented reality, to smart cities and connected vehicles, where low latency, data privacy, and real-time processing are critical requirements. The latency of accessing applications in edge computing must be consistently below a threshold of a few tens of milliseconds to maintain an acceptable experience for end-users. However, the latency between users and applications can vary considerably depending on the network load and mode of wireless access. An application provider must be able to guarantee that requests are served in a timely manner by their application instances hosted in the edge despite such latency variations. This article focuses on the placement and traffic allocation problem faced by application providers in determining where to place application instances on edge nodes such that requests are served within a certain deadline. It proposes novel formulations based on robust optimization to provide optimal plans that protect against latency variations in a configurable number of network links. The robust formulations are based on two different types of polyhedral uncertainty sets that offer different levels of protection against variations in latency. Extensive simulations show that our robust models are able to keep the number of chosen edge nodes low while reducing the number of latency violations as compared to a deterministic optimization model that only considers the average latency of network links.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0305048324000318/pdfft?md5=6c0e23d49bf05ac6ab6544d50ab755a2&pid=1-s2.0-S0305048324000318-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139920510","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":"Integrated multi-product reverse supply chain design and disassembly line balancing under uncertainty","authors":"Peng Hu ,&nbsp;Feng Chu ,&nbsp;Alexandre Dolgui ,&nbsp;Chengbin Chu ,&nbsp;Ming Liu","doi":"10.1016/j.omega.2024.103062","DOIUrl":"10.1016/j.omega.2024.103062","url":null,"abstract":"<div><p>End-of-life (EOL) product recycling has received increasing attention because of potential environmental, social and economic benefits. A well-designed reverse supply chain (RSC) can efficiently handle EOL products. As the critical activity in the RSC, the disassembly process decomposes collected EOL products into components to fulfill the demands of remanufacturing plants. Efficiently coordinating RSC design and disassembly line balancing decisions may improve the whole system performance significantly, especially when facing multiple EOL products and uncertainty. This paper investigates a novel integrated RSC design and disassembly line balancing problem to handle multiple EOL products where the supply of EOL products, the demand for components, and task times in disassembly are stochastic. This complex problem needs to jointly determine the number and locations of disassembly plants, disassembly equipment procurement, disassembly line balancing, and inventory levels of both EOL products collected and components dismantled. The objectives are to maximize the expected profit and minimize the carbon emissions simultaneously. For the problem, a bi-objective two-stage stochastic programming model is formulated and an exact <span><math><mi>ɛ</mi></math></span>-constrained method is proposed, transforming the bi-objective problem into a series of single-objective problems. Especially, an improved Benders decomposition approach is developed to solve each single-objective problem efficiently. Numerical experiments comprising an illustrative case and 200 random instances are conducted to evaluate the performance of proposed methods. Moreover, some managerial insights are drawn.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139920512","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":"A study on policy decisions to embed flexibility for reactive recovery in the planning and scheduling process in operating rooms","authors":"Babak Akbarzadeh,&nbsp;Broos Maenhout","doi":"10.1016/j.omega.2024.103061","DOIUrl":"10.1016/j.omega.2024.103061","url":null,"abstract":"<div><p>The pursuit for achieving operational excellence in the operating room (OR) department is hampered by the uncertainty characterising the demand for healthcare resources. Incorporating this uncertainty is complicated because planning and scheduling decisions involving both resources and patients are typically organised according to a hierarchical decision structure in different phases. In this study, we link strategic, tactical, and operational decision-making and investigate the impact of policy decisions providing flexibility in the OR planning and scheduling process for reactive recovery to improve the operational outcome, achieving a trade-off between efficiency and consistency. We consider a sequential but interrelated proactive–reactive decision framework that is guided by both generic assumptions stated in the literature and real-life practice, mimicking all decision phases by relying on optimisation and trace-drive simulation. The analysis is performed via computational experimentation on a real-life dataset by varying the parameter settings associated with the availability of open OR capacity, clustering of surgeons, and duration of OR blocks. We compare the performance of well-known scheduling frameworks, namely, open booking and (modified) block booking, and provide insights regarding the necessary conditions to efficiently manage OR resources. The results demonstrate that constructing a master surgery schedule or an advance patient planning improves schedule consistency, whereas the re-scheduling of OR resources is indispensable to attain high OR utilisation. Insights are provided into the impact of different policy decisions that introduce flexibility in the OR planning and scheduling process to increase responsiveness to demand variability. To achieve satisfactory results, a certain degree of flexibility should be embedded via at least one of the policy decisions. However, together with potentially higher efficiency, higher variability in performance is observed such that different policy decisions should be attuned to each other.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139928412","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":"Hedging against uncertainty in transportation network design through flexible scheduling","authors":"Simon Belieres ,&nbsp;Mike Hewitt","doi":"10.1016/j.omega.2024.103045","DOIUrl":"https://doi.org/10.1016/j.omega.2024.103045","url":null,"abstract":"<div><p>We consider the planning problem of a consolidation carrier that seeks to plan effective transportation operations in the presence of uncertainty in shipment sizes. We presume the carrier seeks to execute regular operations with respect to the geographical routing of vehicles and shipments. However, the carrier can respond to volatility in shipment sizes by effectively scheduling shipment and vehicle dispatches, as well as acquiring additional vehicle capacity at a premium. We present two mathematical models with uncertainty in shipment sizes. The first mathematical model reflects the aforementioned setting wherein scheduling shipment, scheduling vehicle dispatches, and acquiring additional vehicle capacity act as recourse actions. The second mathematical model serves as a benchmark for estimating the savings potential of schedule flexibility. It reflects a related planning problem wherein vehicle and shipment dispatch scheduling decisions must be made before shipment sizes are known. Based on an extensive computational study, we estimate the savings potential of scheduling flexibility and characterize situations when those savings may be significant. Finally, we identify tactics for designing a transportation network that will position it to benefit from schedule flexibility.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139992569","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":"Pricing decisions of online and offline dual-channel supply chains considering data resource mining","authors":"Zaoli Yang ,&nbsp;Wen-Long Shang ,&nbsp;Lin Miao ,&nbsp;Shivam Gupta ,&nbsp;Zhengli Wang","doi":"10.1016/j.omega.2024.103050","DOIUrl":"10.1016/j.omega.2024.103050","url":null,"abstract":"<div><p>Data resources, a fundamental component in the digital economy, play a vital role for businesses aiming to establish a lasting competitive edge. A company's data resources can uniquely influence the decisions surrounding products and services within the supply chain. The integrated dual-channel supply chain (DCSC) involves direct online channels utilized by manufacturing service providers alongside offline channels, such as physical retail stores, managed by sales service integrators. The DCSC is capable of performing second-stage data mining services in accordance with the sold products and customer services after the product sales are completed. Subsequently, data resource mining can be achieved through a cross-channel approach. As such, considering the exploration of cross-channel data resources, this study strives to formulate a structure for a dual-channel closed-loop supply chain. Furthermore, utilizing concepts from the Stackelberg and Nash equilibrium game theories, it delves into the analysis of pricing decisions and profit allocation. This examination encompasses distinct closed-loop supply chain configurations, viewed through the lenses of both centralized and decentralized decision-making approaches. In addition, the effects of cross-channel data mining and channel consumption preferences on supply chain decisions are analyzed, and the analysis is conducted in combination with numerical examples. As evidenced by the findings in this investigation, cross-channel data resource mining, consumer channel preference, and the data mining value conversion rate can prominently affect the formulation of pricing strategies and the distribution of profits in closed-loop supply chains. The potential value of data resources can lead to the generation of “external incentives” following the strategy of data resource mining. Furthermore, the data resource mining strategy is promising in stimulating the growth of the product and service markets. Finally, the overall profit of the supply chain is increased with the increase in the efficiency of data resource conversion. Enhancements in the efficacy of data resource conversion correspondingly lead to heightened overall profits within the supply chain.</p></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":null,"pages":null},"PeriodicalIF":6.9,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139920546","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}