Advance Multi-Priority, Multi-Appointment Patient Scheduling With Dependent Demand and Lead Times [0.03%]
基于依赖需求和提前期的多优先级、多预约患者调度模型及算法研究
Shahryar Moradi,Antoine Sauré,Jonathan Patrick
Shahryar Moradi
This study examines a patient scheduling problem with multiple appointment types and priority levels, where certain appointments must precede others and lead times play a crucial role. Although both factors significantly influence the quali...
An Investigation into Demographic Disparities in Emergency Department Disposition Decisions [0.03%]
关于急诊科处置决定中人口统计差异调查研究
Qian Cheng,Nilay T Argon,Christopher S Evans et al.
Qian Cheng et al.
We investigate the presence of health disparities in emergency department (ED) disposition decisions and if crowding levels might have an exacerbating role. Using data from a large, academic ED, we find statistically significant association...
No Country for Young Refugees: Barriers and Opportunities for Inclusive Refugee Education Practices [0.03%]
青年难民无用武之地？包容性难民教育的障碍与机遇
Sebnem Manolya Demir,Feyza G Sahinyazan,Bahar Y Kara et al.
Sebnem Manolya Demir et al.
The recent refugee crises in Ukraine (2022) and Syria (2011) have created millions of refugees, 40% of whom are children. The education systems of countries hosting refugees struggle to integrate such large populations. In addition, languag...
Varouj Aivazian,Tzu-Ting Chiu,Miguel Minutti-Meza et al.
Varouj Aivazian et al.
This study examines the relation between political uncertainty arising from state-level election cycles and the timing of employee dismissal and plant closure notices filed by US firms under the Worker Adjustment and Retraining Notification...
Translating Empirical State-Dependent Service Times Into Queueing Models [0.03%]
基于经验的时变服务时间排队模型及其应用研究
Likang Ding,Bora Kolfal,Armann Ingolfsson
Likang Ding
Recent empirical studies suggest that human behavior in queues causes workload-dependent service times. We investigate the translation of empirical service times into state-dependent queueing models. To this end, we identify two types of st...
Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management [0.03%]
面向多级系统的多智能体深度强化学习方法研究
Xiaotian Liu,Ming Hu,Yijie Peng et al.
Xiaotian Liu et al.
We apply heterogeneous-agent proximal policy optimization (HAPPO), a multi-agent deep reinforcement learning (MADRL) algorithm, to the decentralized multi-echelon inventory management problems in both a serial supply chain and a supply chai...
Learning to Balance the Performance and Deterioration of Aging Systems Through Derating [0.03%]
通过降级学习平衡系统性能和老化恶化之间的关系
Jue Wang
Jue Wang
A common strategy of extending the lifetime of an aging system is to reduce its workload below the normal operating level, a practice known as derating. While derating can slow the deterioration process, it often comes at the expense of red...
Who Benefits From Government Tax-Subsidies for Corporate Charitable Food Donations? [0.03%]
政府税收补贴企业慈善食品捐赠受益者几何？
Armağan Özbilge,Saif Benjaafar,Elkafi Hassini et al.
Armağan Özbilge et al.
Leveraging government tax incentives to prompt corporate charitable giving has gained considerable popularity over the past decade. This paper sheds light on the broader consequences of the U.S. government's tax-subsidy policy for charitabl...
Ming Hu,Weixiang Huang,Chunhui Liu et al.
Ming Hu et al.
To alleviate the financial shortage for public service provision, a government agency may jointly finance, own, and run a service system with a private firm (in the manner of a joint venture) or delegate service provision to the firm subjec...
Manufacturer Encroachment in the Presence of Production Economies of Scale [0.03%]
规模经济下的制造商挤出经销商行为研究
Wei Li,Jing Chen,Hubert Pun
Wei Li
It is well established that a manufacturer generally benefits from encroachment with a profitable direct channel and may also benefit from using encroachment as a threat (i.e., without sales in the direct channel); the retailer may also ben...