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Abstract ：
在不同再制造渠道结构下,再制造产品对新产品的需求不仅产生异质的竞食效应,还可能对新产品感知价值造成抑制或促进影响.为了探索这两种影响如何共同作用于制造/再制造系统的决策,研究由原始设备制造商(OEM)与第三方再制造商(IO)主导再制造业务的两类结构下的制造/再制造系统生产与定价问题,得到了相应的均衡生产和定价决策的解析表达式,分析了抑制(或促进)作用对供应链各成员决策过程的影响.同时,还通过算例分析中的数值仿真的方法,深入分析了两类不同再制造渠道结构下竞食效应和抑制(或促进)作用对供应链成员利润的综合影响.研究结果表明,当OEM主导再制造业务时,再制造产品对新产品感知价值的抑制作用与内部竞食效应叠加,会降低新产品的需求,OEM与零售商的利润会随抑制作用的增强而持续下降.当抑制作用增强到一定程度时,再制造的成本优势不足以弥补新产品需求下降带来的利润损失,OEM将选择只生产新产品.当IO主导再制造业务时,再制造产品对新产品感知价值的促进作用会缓解外部竞食效应带来的负面影响.OEM、IO和零售商的利润会随促进作用的增强而上升.此外,OEM忽略再制造渠道结构对新产品感知价值的抑制和促进作用,将高估外部竞食效应的负面影响.当抑制作用和促进作用增强到一定程度时,IO主导再制造业务可能会更有利于再制造系统的发展.
Keyword ：
再制造 再制造 原始设备制造商 原始设备制造商 感知价值 感知价值 生产决策 生产决策 零售商 零售商
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| GB/T 7714 | 阳成虎 , 江雨薇 , 苏晓丽 . 再制造渠道结构对制造/再制造系统生产与定价决策的影响分析 [J]. | 福州大学学报（哲学社会科学版） , 2024 , 38 (5) : 41-52 . |
| MLA | 阳成虎 等. "再制造渠道结构对制造/再制造系统生产与定价决策的影响分析" . | 福州大学学报（哲学社会科学版） 38 . 5 (2024) : 41-52 . |
| APA | 阳成虎 , 江雨薇 , 苏晓丽 . 再制造渠道结构对制造/再制造系统生产与定价决策的影响分析 . | 福州大学学报（哲学社会科学版） , 2024 , 38 (5) , 41-52 . |
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背景 随着人口老龄化进程加快，居民疾病谱变化，以糖尿病为代表的慢性病患病率逐年攀升，亟需建立广覆盖、高效率的基层医防融合模式。已有研究多聚焦于健康管理服务需求及服务采纳的影响因素，鲜有对数字技术下慢病医防融合服务需求进行识别与分析。目的 探索数字健康背 景下居民对糖尿病医防融合服务需求，以及不同服务内容对服务对象接受度与满意度的影响，以期为公众完善全过程、全方位的医防融合服务提供理论依据。方法 结合相关研究与实际工作，确立了 20 项糖尿病医防融合服务需求调查项目，并于 2023 年 1—6 月，采用便利抽样法调查福建省、广东省和云南省的糖尿病患病及风险人群，获取 410 名受访者数据，根据性别、年龄、文化程度、居住地类型和医保类型五类人口学特征，依据 Kano 模型分析法进行属性分类分析，考察不同属性的服务需求与居民满意度的关系，进而提出糖尿病医防融合服务供给策略。结果 不同人口学特征的居民对糖尿病医防融合服务需求显示出共性和个性差异，其中，不同年龄段和文化程度的人群服务需求差异较大。糖尿病防治群体的医防融合服务需求聚焦在筛防和诊疗环节，但互联网与社交媒体提供的相关便捷服务与用户的满意度无关。结论 应当提升糖尿病基层医防融合服务个性化水平，充分满足服务人群的“糖尿病与并发症初步筛查”等必备属性需求，完善“建立全周期个人电子健康档案”等期望属性服务，以及提升“风险预测”“远程健康监测”等魅力属性需求的服务。
Keyword ：
Kano 模型 Kano 模型 医防融合 医防融合 数字健康 数字健康 服务需求 服务需求 糖尿病 糖尿病
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| GB/T 7714 | 吴心怡 , 张永泽 , 阳成虎 et al. 数字健康背景下糖尿病基层医防融合服务的需求研究 [J]. | 中国全科医学 , 2024 . |
| MLA | 吴心怡 et al. "数字健康背景下糖尿病基层医防融合服务的需求研究" . | 中国全科医学 (2024) . |
| APA | 吴心怡 , 张永泽 , 阳成虎 , 吴晓园 . 数字健康背景下糖尿病基层医防融合服务的需求研究 . | 中国全科医学 , 2024 . |
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Reusing electric vehicles (EV) batteries that reach the end of their useful first life is an environmental and cost -competitive option; however, the process of recycling EV batteries is not yet mature. Due to complex electrochemical reactions and physical conditions, the quality of used EV batteries (cores) is highly uncertain. The remanufacturer needs to make the acquisition decision under quality distributional ambiguity. Perfect quality distribution of cores cannot be known to the remanufacturer in practice. We develop distributionally robust optimization models based on phi -divergence measures and the imprecise Dirichlet model (DRO-IDM) to derive robust decisions. First, we find that the bounds of quality probability intervals are identified solely based on the collected data by introducing the imprecise Dirichlet model. The derived finite -sample boundary can reduce the scope of the uncertainty set and avoid the no -direction search issue. Second, our models can hedge against distributional uncertainty, reduce the probability of a robust solution that deviates from the optimal solution, and correct bias in decision making. Third, we extend the DRO-IDM to develop data -driven models, that can reassess the value of multisource quality information to improve the estimation accuracy of core quality and maximize the remanufacturer's profit. Our study provides new insights for remanufacturers: the new remanufacturing process proposed in our work can assist remanufacturers in utilizing the values of cores without disassembly; the information -aware algorithm can offer the remanufacturing sector a valuable tool for efficiently filtering out invalid information in optimizing acquisition decisions; this capability empowers decision -makers to leverage multiple sources of information and expedite the process of digital transformation in remanufacturing; our approach can also provide a manner of integrating information fusion and distribution learning into remanufacturing.
Keyword ：
Data-driven model Data-driven model Decision analysis Decision analysis Distributionally robust optimization Distributionally robust optimization Multisource information Multisource information Quality uncertainty Quality uncertainty
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| GB/T 7714 | Yang, Cheng-Hu , Su, Xiao-Li , Ma, Xin et al. A data-driven distributionally robust optimization approach for the core acquisition problem [J]. | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH , 2024 , 318 (1) : 253-268 . |
| MLA | Yang, Cheng-Hu et al. "A data-driven distributionally robust optimization approach for the core acquisition problem" . | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 318 . 1 (2024) : 253-268 . |
| APA | Yang, Cheng-Hu , Su, Xiao-Li , Ma, Xin , Talluri, Srinivas . A data-driven distributionally robust optimization approach for the core acquisition problem . | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH , 2024 , 318 (1) , 253-268 . |
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基层医疗服务质量低下是阻碍基本医疗均等化的重要原因.医联体的有效建设可以推进优质医疗资源下沉、提升基层医疗服务能力,进而提升社会整体医疗服务效率.构建由三级医院和基层医院组成的医联体,运用Hotelling模型考察医联体成员提升基层医疗服务质量的努力决策与患者回流的均衡结果,探究政府不同补贴情形下,医联体各成员医院最优努力策略的变化及对医疗市场均衡绩效产生的影响.研究表明:医联体能够提高基层医疗机构的服务质量,促进患者回流基层,但是质量提升及患者就诊秩序改善的程度与基层医院初始医疗质量水平正相关;政府补贴通过影响医院的绩效成本比来促进各医院质量努力提升,从而降低医院的运营成本,但成本降低程度会随着各医院绩效成本比的比值差异而有所不同;政府补贴医联体内任一成员,补贴比例相同且患者就诊的质量偏好大于单位距离成本时,政府的补贴比例应当高于门槛阈值,才能使全社会健康剩余较政府不补贴时有所提升.
Keyword ：
医联体 医联体 基本医疗服务 基本医疗服务 政府补贴 政府补贴 服务质量努力 服务质量努力
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| GB/T 7714 | 吴晓园 , 章洋洋 , 李晓超 et al. 基于患者选择行为的医联体服务质量努力与协调研究 [J]. | 运筹与管理 , 2024 , 33 (11) : 226-232 . |
| MLA | 吴晓园 et al. "基于患者选择行为的医联体服务质量努力与协调研究" . | 运筹与管理 33 . 11 (2024) : 226-232 . |
| APA | 吴晓园 , 章洋洋 , 李晓超 , 阳成虎 . 基于患者选择行为的医联体服务质量努力与协调研究 . | 运筹与管理 , 2024 , 33 (11) , 226-232 . |
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在人口老龄化纵深发展过程中,老年人慢性疾病高发频发,康复医疗作为保持或恢复老年人身体机能的有效手段,存在庞大的市场需求.该文采用扎根分析方法研究老年人康复医疗体系的影响因素,通过对政策制定者、行业专家、老年人的半结构化访谈,从产业层、个体层、社会层三个方面阐述老年人康复医疗体系需求影响理论模型的作用机制,以期为福建省主动应对老龄化挑战,提升老年健康服务水平,加快推进老年人康复医疗工作发展提供参考.
Keyword ：
康复医疗 康复医疗 影响因素 影响因素 扎根理论 扎根理论 理论框架 理论框架
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| GB/T 7714 | 林彬龙 , 王发圣 , 阳成虎 . 福建省老年人康复医疗体系构建的影响因素研究 [J]. | 海峡科学 , 2023 , (3) : 99-103 . |
| MLA | 林彬龙 et al. "福建省老年人康复医疗体系构建的影响因素研究" . | 海峡科学 3 (2023) : 99-103 . |
| APA | 林彬龙 , 王发圣 , 阳成虎 . 福建省老年人康复医疗体系构建的影响因素研究 . | 海峡科学 , 2023 , (3) , 99-103 . |
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To improve the accuracy of demand forecasting for new electronic products, especially in scenarios with limited historical data, a novel forecasting model was proposed in this study which integrated K-means based on Euclidian distance, Multi-layer perceptron algorithm, and Quantile Regression with Gradient Boosted Trees (KEM-QRGBT). The model also incorporated grid search with K-fold cross-validation to enable the adaptive selection of the optimal parameters for product data. Additionally, the KEM-QRGBT model, which can balance the intricacies of learning parameter patterns with its ability to quantify demand uncertainty, exhibited proficiency in quantifying the uncertainty inherent in demand forecasting. Using a case study from a manufacturing enterprise in Turkey, the effectiveness of the model was validated. Results demonstrate that, for new electronic products with limited historical data, the KEM-QRGBT model with adaptive parameter selection improves demand forecasting accuracy, outperforming benchmark methods, and other machine learning models. The proposed algorithm provides a strong evidence for the demand forecasting of new electronic products, particularly in cases where historical data is limited. © 2023 School of Science, IHU. All Rights Reserved.
Keyword ：
Deep learning Deep learning E-learning E-learning Forecasting Forecasting K-means clustering K-means clustering Learning systems Learning systems Life cycle Life cycle Trees (mathematics) Trees (mathematics)
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| GB/T 7714 | Lin, Binlong , Wu, Yi , Wu, Juanjuan et al. Demand Forecasting for the Full Life Cycle of New Electronic Products Based on KEM-QRGBT Model [J]. | Journal of Engineering Science and Technology Review , 2023 , 16 (6) : 90-97 . |
| MLA | Lin, Binlong et al. "Demand Forecasting for the Full Life Cycle of New Electronic Products Based on KEM-QRGBT Model" . | Journal of Engineering Science and Technology Review 16 . 6 (2023) : 90-97 . |
| APA | Lin, Binlong , Wu, Yi , Wu, Juanjuan , Yang, Chenghu . Demand Forecasting for the Full Life Cycle of New Electronic Products Based on KEM-QRGBT Model . | Journal of Engineering Science and Technology Review , 2023 , 16 (6) , 90-97 . |
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目的 分析我国基层医防融合政策对中老年慢病患者健康的影响.方法 使用2015与2018年中国健康与养老追踪调查数据,运用倾向得分匹配与双重差分方法实证检验了基层医防融合对慢病患者健康的因果效应.结果 基准回归表明,基层医防融合有效促进慢病患者个人收入、健康满意与社交活动的增加,异质性分析发现,医防融合尚未对慢病患者中能使用互联网群体的健康产生明显的促进作用.结论 基层医防融合对慢病患者健康产生显著正向影响,医防融合服务过程中互联网对慢病患者健康的促进作用未显现.
Keyword ：
互联网使用 互联网使用 医防融合 医防融合 双重差分 双重差分 慢病患者健康 慢病患者健康
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| GB/T 7714 | 吴晓园 , 阳成虎 , 林中燕 . 基层医防融合对慢病患者健康的影响研究 ——基于PSM-DID方法的实证分析 [J]. | 中国卫生统计 , 2022 , 39 (6) : 873-877 . |
| MLA | 吴晓园 et al. "基层医防融合对慢病患者健康的影响研究 ——基于PSM-DID方法的实证分析" . | 中国卫生统计 39 . 6 (2022) : 873-877 . |
| APA | 吴晓园 , 阳成虎 , 林中燕 . 基层医防融合对慢病患者健康的影响研究 ——基于PSM-DID方法的实证分析 . | 中国卫生统计 , 2022 , 39 (6) , 873-877 . |
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In unprofitable business circumstances, collusion may work to save investment and operations costs, which could fight offfierce business competition. However, collusive behavior may incur adverse impacts on consumers and multi-channel decisions in a supply chain. A common approach to deterring collusive behavior involves setting financial penalties. However, severe punishment could limit economic activities. To align with regulations and boost market vitality, in this paper, we investigate how the manufacturer chooses a competitive selling channel in a complex environment, and how it can design a compensation plan that can effectively mitigate such unethical behavior and coorddinate the whole supply chain (channel). We find that collusion is an `unstable equilibrium' and only works when both retailers are comparable. That is, when the retail market is extremely dominated by a stronger retailer, the profit of a smaller retailer would be gobbled up by the stronger one. Retailers' collusion against the manufacturer seems like an advantageous strategy to maximize their profits, but we find that the retailers' profits may be reduced because of collusion unless they are facing a greater market base. We then show that the profit margins of the manufacturer and the whole supply chain are squeezed; thus, introducing the online platform is one essential way for the manufacturer to address such collusion. We further propose a compensation and incentive contract with effective penalties through differentiating wholesale prices for retailers, which benefits the whole supply chain in terms of high profits. The key findings can provide useful decision support and operational guidelines for manufacturers with respect to making strategic retail channel management decisions. (c) 2021 Elsevier B.V. All rights reserved.
Keyword ：
Game theory Game theory Multi-channel management Multi-channel management Retailers' collusion Retailers' collusion Retail operations Retail operations
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| GB/T 7714 | Lin, Jing , Ma, Xin , Talluri, Srinivas et al. Retail channel management decisions under collusion [J]. | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH , 2021 , 294 (2) : 700-710 . |
| MLA | Lin, Jing et al. "Retail channel management decisions under collusion" . | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 294 . 2 (2021) : 700-710 . |
| APA | Lin, Jing , Ma, Xin , Talluri, Srinivas , Yang, Cheng-Hu . Retail channel management decisions under collusion . | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH , 2021 , 294 (2) , 700-710 . |
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联合惩戒机制是新型信用监管模式的重要环节,可以有效解决日益突出的市场主体失信问题,规范市场秩序.构建微分博弈模型对联合惩戒机制下的政企博弈问题进行研究,得到政企双方的反馈纳什均衡解,并分析监管成本、联合惩戒和信用修复措施对均衡解的影响,用数值仿真的方法进行验证.研究发现,联合惩戒机制能够降低企业失信概率,激励失信企业开展信用修复工作.失信记录的影响程度、联合惩戒措施力度和信用修复难度越大,合规成本越低,企业发生失信概率越低.监管成本的降低和监管成功率的提高,会增强政府的监管意愿,加大监管力度.
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| GB/T 7714 | 阳成虎 , 苏晓丽 , 陈茂晨 . 联合惩戒机制下政企博弈问题研究 [J]. | 福州大学学报（哲学社会科学版） , 2021 , 35 (5) : 53-60 . |
| MLA | 阳成虎 et al. "联合惩戒机制下政企博弈问题研究" . | 福州大学学报（哲学社会科学版） 35 . 5 (2021) : 53-60 . |
| APA | 阳成虎 , 苏晓丽 , 陈茂晨 . 联合惩戒机制下政企博弈问题研究 . | 福州大学学报（哲学社会科学版） , 2021 , 35 (5) , 53-60 . |
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This work investigates the problem of optimally locating an automotive service firm (ASF) subject to stochastic customer demands, varying setup cost and regional constraints. The goal is to minimize the transportation cost while maintaining the specified profit of the ASF. This work studies two variants of the problem: ASF location with known demand probability distributions and with partial demand information, i.e., only the support and mean of the customer demands are known. For the former, a chance-constrained program is formulated that improves an existing model, and then an equivalent deterministic nonlinear program is constructed based on our property analysis results. For the latter, a novel distribution-free model is developed. The proposed models are solved by solver LINGO. Computational results on the benchmark examples show that: i) for the first variant, the proposed approach outperforms the existing one; ii) for the second one, the proposed distribution-free model can effectively handle stochastic customer demands without complete probability distributions; and iii) the results of the distribution-free model are slightly worse than those of the deterministic nonlinear one, but the former is more cost-efficient for the practical ASF location as it is less expensive in obtaining demand information. Moreover, the proposed models and approaches are extended to address a multi-ASF location allocation under demand uncertainty.
Keyword ：
Analytical models Analytical models Automotive engineering Automotive engineering Computational modeling Computational modeling cost-profit trade-off cost-profit trade-off distribution-free model distribution-free model Facility location allocation Facility location allocation Monte Carlo methods Monte Carlo methods optimization optimization stochastic demand stochastic demand Stochastic processes Stochastic processes Transportation Transportation Uncertainty Uncertainty
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| GB/T 7714 | Wu, Peng , Yang, Cheng-Hu , Chu, Feng et al. Cost-Profit Trade-Off for Optimally Locating Automotive Service Firms Under Uncertainty [J]. | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2021 , 22 (2) : 1014-1025 . |
| MLA | Wu, Peng et al. "Cost-Profit Trade-Off for Optimally Locating Automotive Service Firms Under Uncertainty" . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 22 . 2 (2021) : 1014-1025 . |
| APA | Wu, Peng , Yang, Cheng-Hu , Chu, Feng , Zhou, MengChu , Sedraoui, Khaled , Al Sokhiry, Fahad S. . Cost-Profit Trade-Off for Optimally Locating Automotive Service Firms Under Uncertainty . | IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , 2021 , 22 (2) , 1014-1025 . |
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