Juan Carlos Gonçalves-Dosantos , Ricardo Martínez , Joaquín Sánchez-Soriano
{"title":"Revenue distribution in streaming","authors":"Juan Carlos Gonçalves-Dosantos , Ricardo Martínez , Joaquín Sánchez-Soriano","doi":"10.1016/j.omega.2024.103233","DOIUrl":"10.1016/j.omega.2024.103233","url":null,"abstract":"<div><div>The streaming industry has experienced exponential growth over the past decade. Streaming platforms provide subscribers with unlimited access to a diverse range of services, including movies, TV shows, and music, in exchange for a subscription fee. We take an axiomatic approach to the problem of how to share the overall revenue obtained from subscription sales among services or content producers. In doing so, we provide normative justifications for several distribution rules. We formulate several axioms that convey ethical and operational principles. In the first group, we consider properties that guarantee equal and impartial treatment of services and subscribers. In the second group, we introduce requirements designed to safeguard allocation schemes from inconvenient alterations, namely, changes in the units of measurement of inputs, subscription sharing, or group decomposition. Our analysis reveals that different combinations of these axioms define two classes of rules that strike a balance between three focal schemes, each representing distinct perspectives on the egalitarian and proportional principles. To illustrate the practical implications of our theoretical model, we explore its potential application by assessing how various types of content impact the revenues of some of the most well-known Twitch streamers.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103233"},"PeriodicalIF":6.7,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743678","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":"Partner selection for supply chain collaboration: New data envelopment analysis models","authors":"Lili Liu , Sheng Ang , Feng Yang , Xiaoqi Zhang","doi":"10.1016/j.omega.2024.103245","DOIUrl":"10.1016/j.omega.2024.103245","url":null,"abstract":"<div><div>Partner selection is crucial for ensuring successful supply chain collaboration. This study focuses on selecting the best partner for a predefined two-stage supply chain using data envelopment analysis to assess the performance of collaborative systems. We distinguish between two levels of supply chain collaboration: chain-to-chain and stage-to-stage collaboration. The former involves partner selection within the same supply chain across two stages, while the latter allows for selected partners from different supply chains across two stages. We incorporate the technology learning effect and introduce three degrees of collaboration (minor, major, and medium) for both chain and stage collaboration levels. Solutions are provided for each collaboration level and degree, with comparative analysis indicating that major collaboration in stage-to-stage level yields superior performance. A numerical example and a real-world case study are presented to illustrate our models and findings, demonstrating that our approach offers superior benefits and more flexible options compared to existing methods. Thus, the proposed approach not only contributes to advancing theoretical understanding but also provides practical implications for optimizing collaborative relationships within complex multi-stage supply chain environments.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103245"},"PeriodicalIF":6.7,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757493","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 novel framework for optimizing job rotation schedules across industries","authors":"Priyank Sinha , Sameer Kumar , Chandra Prakash Garg , Charu Chandra","doi":"10.1016/j.omega.2024.103235","DOIUrl":"10.1016/j.omega.2024.103235","url":null,"abstract":"<div><div>Implementing job rotation (JR) can yield positive or negative impacts depending on the firm characteristics and industry type. As a result, a generic framework for its implementation is difficult to develop and presently does not exist in literature. Existing models/frameworks have limited application as they are either too specific or generic, but imprecise. Consequently, managers often rely on their intuition to develop JR schedules which sometimes leads to suboptimal/unwanted outcomes. In this article, we propose a generic JR framework, which can be used by managers to develop optimal JR schedules in firms across many industries, such as IT, manufacturing, banking, medical, construction, chemical, aviation, etc. The proposed framework contributes to theory by addressing important questions, such as when to implement JR, and how to quantify some of its most important impacts. We also demonstrate the utility of the proposed framework through an illustrative industrial example.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103235"},"PeriodicalIF":6.7,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757492","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":"Can feature removal benefit the automotive manufacturers amid supply shortages? An analytical investigation","authors":"Lu Wang , Tianhu Deng , Qiaofeng Li","doi":"10.1016/j.omega.2024.103227","DOIUrl":"10.1016/j.omega.2024.103227","url":null,"abstract":"<div><div>The automotive industry has been significantly impacted by the global semiconductor shortage since 2020. Traditional strategies, such as maintaining safety stock and sourcing from backup suppliers, have been proven insufficient in mitigating supply shortages. To address the global chip shortage and build supply chain viability, leading automotive manufacturers worldwide have adopted an innovative adaptation strategy known as the feature removal strategy. This strategy involves temporarily removing non-vital features and retrofitting them once supply shortages are alleviated, thereby mitigating disruptions. Given the increasing frequency, severity, and unpredictability of global chip shortages, it is crucial to investigate the potential benefits of the feature removal strategy for automotive manufacturers. This study aims to address this gap analytically. We develop a stochastic dynamic programming model to optimize pricing and production decisions under the feature removal strategy. We reformulate the model into an equivalent convex problem and propose structural properties to manage the complexity arising from the high dimensionality of state and action spaces. Comparative analyses with benchmark strategies underscore the efficacy of the feature removal strategy in enhancing profitability and sustaining supply chain viability, especially in prolonged supply shortage scenarios.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103227"},"PeriodicalIF":6.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720440","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 manufacturer encroachment and product conflicts in a closed-loop supply chain: The case of information asymmetry","authors":"Senlin Zhao , Mengxiang Wang , Qin Zhou , Xiqiang Xia","doi":"10.1016/j.omega.2024.103236","DOIUrl":"10.1016/j.omega.2024.103236","url":null,"abstract":"<div><div>The implementation of direct channels allows manufacturers to distribute new and remanufactured products through separate channels. This prompts manufacturers to carefully consider which products to channel directly. In the remanufacturing process, manufacturers often delegate the collection process to retailers. However, only retailers know their own collection efficiency information, whereas manufacturers can only know its probability distribution. To explore the choice of encroachment channel strategy under information asymmetry, we constructed a dual-channel closed-loop supply chain model, in which the manufacturer can design non-linear contracts to incentivize the retailer to choose contracts that align with its capabilities, ultimately maximizing its profit. We discuss the case of manufacturer dual product encroachment and the impact of consumer channel preferences in the extended model. The findings reveal that, contrary to previous studies, the profits of low-type manufacturers are not always reduced, and the effect of information asymmetry may be opposite. Moreover, information asymmetry can be detrimental to high-type retailers. The optimal channel choice is affected by factors such as remanufacturing cost, consumer channel preference, information asymmetry, and reserved profit differences. Manufacturers and retailers can achieve a win-win situation through new product encroachment, which can also counteract the negative effects of information asymmetry and enhance consumer surplus.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103236"},"PeriodicalIF":6.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743680","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":"Closed-loop supply chain design considering quantity-dependent price and decentralized local waste management","authors":"Jun Seop Lee, Byung Do Chung","doi":"10.1016/j.omega.2024.103232","DOIUrl":"10.1016/j.omega.2024.103232","url":null,"abstract":"<div><div>With the increasingly widespread use of household plastic products, environmental pollution caused by plastic waste has emerged as a severe problem. Despite the efforts of academia and government bodies, plastic recycling rates worldwide remain low. Thus, this study aims at establishing a closed-loop supply chain design model for household plastic recycling. We develop a bilevel optimization model to reflect decentralized decision-making between a manufacturer and public sectors and propose a strategy to obtain optimal solutions. The proposed model considers two critical aspects of the problem: decentralized local waste management and quantity-dependent price. Numerical experiments are conducted based on real annual operation data, and various managerial insights are derived from sensitivity analyses. Additionally, we recommend various strategies to mitigate potential social conflicts arising from increasing volumes of plastic waste as well as directions for government policy aimed at enhancing the plastic recycling rate.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103232"},"PeriodicalIF":6.7,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743677","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}
Rajdeep Singh , Stefan Wrzaczek , Michael Freiberger
{"title":"The inoculation dilemma: Partial vs Full immunization during the early rollout in a pandemic","authors":"Rajdeep Singh , Stefan Wrzaczek , Michael Freiberger","doi":"10.1016/j.omega.2024.103230","DOIUrl":"10.1016/j.omega.2024.103230","url":null,"abstract":"<div><div>COVID-19 demonstrated the extent to which a pandemic can affect billions of lives worldwide. Vaccinations are an effective intervention that reduces the burden of the disease on the population. However, the low availability of vaccine doses coupled with an emerging infection wave calls for efficient dose allocation. We study the tradeoffs between prioritization of partial or full immunization while allocating limited doses with the help of an augmented SIR model. We define the term allocation ratio as the ratio of doses allocated for partial immunization as a proportion of the total available doses. Optimal control theory is used to derive the path traversed by the allocation ratio throughout the vaccine administration program. Numerical insights are obtained by introducing the case study of the Indian state of Tamil Nadu. Results indicate a preference towards full immunization when the active infections are low, while a switch to exclusive partial immunization is observed as the infection wave grows. Sensitivity analysis shows that factors like reduced vaccine availability, higher transmission rate, and high first-dose efficacy promote a quicker switch. The results also indicate significant potential savings of around ₹710 billion (<span><math><mo>∼</mo></math></span> $8.46 billion) in mortality losses compared to the more widely followed pro-rata allocation policies. Hence, our study contributes to the growing discussion around the optimal strategy for vaccine administration with a focus on dose prioritization. The results of our research can help policymakers determine the allocation of limited available doses when faced with rising infection numbers during future pandemics.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"132 ","pages":"Article 103230"},"PeriodicalIF":6.7,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142743682","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}
Yuzhen Hu , Min Wang , Xinghai Guo , Valery F. Lukinykh
{"title":"Pre-occurrence location-allocation-configuration of maritime emergency resources considering shipborne unmanned aerial vehicle (UAV)","authors":"Yuzhen Hu , Min Wang , Xinghai Guo , Valery F. Lukinykh","doi":"10.1016/j.omega.2024.103231","DOIUrl":"10.1016/j.omega.2024.103231","url":null,"abstract":"<div><div>Demand for maritime transportation has constantly increased throughout recent years due to its high capacity, extensive coverage, high safety, and so on. However, the growth has also contributed to a rise in maritime accidents, highlighting the need for developing maritime emergency management strategies. In maritime emergency management, resource location-allocation-configuration is the most important and inseparable preparedness action before disasters, directly deciding the quality of emergency rescue operations. Traditional ship-only rescue is frequently both cost-intensive and time-consuming, seriously affecting rescue performance. This study introduces an innovative shipborne UAV operation system to address these limitations. Firstly, a multi-objective mixed-integer nonlinear programming model is established to minimize total rescue time and cost by considering the uncertain maritime environment, continuous docking placements of ships, UAV flight distance, rescue station capacity, etc. Secondly, to efficiently obtain an execution plan, a two-stage algorithm is proposed to facilitate our mission optimization model. Large-scale simulated instances and a real case study demonstrate that (i) the proposed algorithm can solve the model efficiently. (ii) the application of shipborne UAV operation system in maritime emergencies shows a significant improvement in time and cost compared to ship-only system. (iii) it is necessary to consider the uncertain maritime environment when solving emergency management problems. Moreover, extensive parameter sensitivity analysis provides managerial insights into the impact of various factors on the optimization outcomes. We also explore deeper insights that may benefit maritime administration's decision support.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"131 ","pages":"Article 103231"},"PeriodicalIF":6.7,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706662","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":"Economically viable reshoring of supply chains under ripple effect","authors":"Tadeusz Sawik","doi":"10.1016/j.omega.2024.103228","DOIUrl":"10.1016/j.omega.2024.103228","url":null,"abstract":"<div><div>This paper presents stochastic mixed integer linear programming models for economically viable supply chain reshoring under the ripple effect, that is, for the integrated optimization of supply chain reshoring and supply chain viability. The problem objective is to select supply chain facilities for relocation and backup suppliers for recovery supplies to simultaneously minimize cost, maximize service and enhance viability. If the primary supplier is not selected for reshoring, the viability can alternatively be improved by recovery supplies from the backup supplier. The problem is formulated as a multi-portfolio stochastic optimization. The portfolio of suppliers/plants for reshoring is optimized along with an alternative recovery portfolio of backup supplies. This study indicates that reshoring decisions directly affect supply chain viability and have positive impact on both its average and worst-case performance. The more risk-aversive is viable reshoring (the confidence level greater than 0.90), the greater is also improvement of supply chain business-as-usual resilience. If increase of expected customer service is more important than cost reduction, supplier reshoring is preferable to backup sourcing. The findings also indicate that cost- and service-optimal reshoring decisions are getting closer when the government subsidy for reshoring significantly increases such that the reduced reshoring costs and domestic costs do not exceed the achieved reduction of lost sales and backup sourcing. Then both conflicting objectives can be simultaneously achieved, which is a highly desirable solution of the economically viable reshoring of supply chain. Numerical examples based on a real-world industrial supply chain prove practical usefulness of the proposed stochastic approach and its high computational efficiency.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"131 ","pages":"Article 103228"},"PeriodicalIF":6.7,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658621","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 role of hubs and economies of scale in network expansion","authors":"Fran Setiawan , Tolga Bektaş , Çağatay Iris","doi":"10.1016/j.omega.2024.103220","DOIUrl":"10.1016/j.omega.2024.103220","url":null,"abstract":"<div><div>Freight distribution often operates on the basis of consolidation, which is achieved through the use of hub facilities that allow for economies of scale. Freight networks need to be expanded to meet future demand, to cater for new markets, and to accommodate trends in global supply chains, for which strategic decisions need to be made. These decisions mainly entail the number and location of new hubs to be established. As network expansions require significant capital, striking a balance between the benefits afforded by the new hubs and the expansion costs is crucial. This paper investigates a hub network expansion problem where the configuration of the resulting network is determined by the trade-off between the fixed costs of locating new hubs and new links, as well as routing costs of shipping commodities, and the cost reductions achieved through economies of scale, without imposing a predetermined network structure. This paper also describes a mixed integer programming formulation of the problem and a Benders decomposition algorithm that uses several enhancement techniques to efficiently solve the model to optimality. The application of the algorithm on a real-life case study arising in the expansion of the Indonesian freight transport network yields several managerial insights. In particular, expanding the network with additional hubs and links can yield substantial cost savings, averaging at 47.6%, although at the expense of an increase in the length of the commodity paths. Failing to operate the network at the selected level of economies of scale can result in an increase in the routing costs by up to 58.8%. Expanding the network with no additional hubs leads to a rise in total costs of up to 20.9%. Finally, lower economies of scale leads to an increase in the length of commodity paths, with the routing cost being identified as the most sensitive parameter.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"131 ","pages":"Article 103220"},"PeriodicalIF":6.7,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658643","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}