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Covid-19-Related Challenges for New Normality in Airport Terminal Operations 新冠肺炎疫情对机场航站楼运营新常态的挑战
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715417
M. Schultz, Mingchuan Luo, Daniel Lubig, M. Mota, P. Scala
{"title":"Covid-19-Related Challenges for New Normality in Airport Terminal Operations","authors":"M. Schultz, Mingchuan Luo, Daniel Lubig, M. Mota, P. Scala","doi":"10.1109/WSC52266.2021.9715417","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715417","url":null,"abstract":"Airport operations are undergoing significant change, having to meet pandemic requirements in addition to intrinsic security requirements. Although air traffic has declined massively, airports are still the critical hubs of the air transport network. The new restrictions due to the COVID-19 pandemic pose new challenges for airport operators in redesigning airport terminals and managing passenger flows. To evaluate the impact of COVID-19 restrictions, we implement a reference airport environment. In this reference Airport in the Lab environment we will demonstrate the operational consequences derived from the new operational requirements. In addition, countermeasures to mitigate any negative impacts of these changes are tested. The results highlight emerging issues that the airport will most likely face and possible solutions. Finally, we could apply the findings and lessons learned from our testing at our reference airport to a real airport.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124462568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A Simulation-Based Participatory Modelling Framework For Stakeholder Involvement In Urban Logistics 基于仿真的城市物流利益相关者参与建模框架
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715462
Amita Singh, M. Wiktorsson, J. Hauge, Seyoum Eshetu Birkie
{"title":"A Simulation-Based Participatory Modelling Framework For Stakeholder Involvement In Urban Logistics","authors":"Amita Singh, M. Wiktorsson, J. Hauge, Seyoum Eshetu Birkie","doi":"10.1109/WSC52266.2021.9715462","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715462","url":null,"abstract":"The popularity of both computer-based simulations and participatory modelling individually have supported design and research of many case studies. However, not much work has been done in the collaborative area wherein both the decision-making tools are used together for problem solving in the domain of urban logistics and the peer-reviewed literature on it remains sparse. This paper suggests a combination of the two fields for developing research in the area of development of urban logistics intensifying sustainability. In response to the requirements of simulation-based participatory modelling, we present a generic framework for developing these models. The framework facilitates dialogue among stakeholders with the help of a participation scheme which defines the level of participation of each stakeholder. Though the framework is presented in context of simulation-based participatory modelling, it can be easily extended to other modelling techniques.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122720576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A Biased-Randomized Discrete-Event Heuristic for the Hybrid Flow Shop Problem with Batching and Multiple Paths 多路径批处理混合流车间问题的一种偏随机离散事件启发式算法
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715442
C. Laroque, Madlene Leißau, P. Copado, Javier Panadero, A. Juan, Christin Schumacher
{"title":"A Biased-Randomized Discrete-Event Heuristic for the Hybrid Flow Shop Problem with Batching and Multiple Paths","authors":"C. Laroque, Madlene Leißau, P. Copado, Javier Panadero, A. Juan, Christin Schumacher","doi":"10.1109/WSC52266.2021.9715442","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715442","url":null,"abstract":"Based on a real-life use-case, this paper discusses a manufacturing scenario where different jobs be processed by a series of machines. Depending on its type, each job must follow a pre-defined route in the hybrid flow shop, where the aggregation of jobs in batches might be required at several points of a route. This process can be modeled as a hybrid flow shop problem with several additional but realistic restrictions. The objective is to find a good permutation of jobs (solution) that minimizes the makespan. Discrete-event simulation can be used to obtain the makespan value associated with any given permutation. However, to obtain high-quality solutions to the problem, simulation needs to be combined with an optimization component, e.g., a discrete-event heuristic. The proposed approach can find solutions that significantly outperform those provided by employing simulation only and can easily be extended to a simheuristic to account for random processing times.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131306136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving Input Parameter Estimation in Online Pandemic Simulation 在线流行病模拟中输入参数估计的改进
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715311
D. Garcia-Vicuña, F. Mallor
{"title":"Improving Input Parameter Estimation in Online Pandemic Simulation","authors":"D. Garcia-Vicuña, F. Mallor","doi":"10.1109/WSC52266.2021.9715311","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715311","url":null,"abstract":"Simulation models are suitable tools to represent the complexity and randomness of hospital systems. To be used as forecasting tools during pandemic waves, it is necessary an accurate estimation, by using real-time data, of all input parameters that define the patient pathway and length of stay in the hospital. We propose an estimation method based on an expectation-maximization algorithm that uses data from all patients admitted to the hospital to date. By simulating different pandemic waves, the performance of this method is compared with other two statistical estimators that use only complete data. Results collected to measure the accuracy in the parameters estimation and its influence in the forecasting of necessary resources to provide healthcare to pandemic patients show the better performance of the new estimation method. We also propose a new parameterization of the Gompertz growth model that eases the creation of patient arrival scenarios in the pandemic simulation.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128306074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic, Data-Driven Simulation In Construction Using Advanced Metadata Structures and Bayesian Inference 动态的，数据驱动的模拟在建筑中使用高级元数据结构和贝叶斯推理
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715346
R. Labban, S. Hague, Elyar Pourrahimian, Simaan M. AbouRizk
{"title":"Dynamic, Data-Driven Simulation In Construction Using Advanced Metadata Structures and Bayesian Inference","authors":"R. Labban, S. Hague, Elyar Pourrahimian, Simaan M. AbouRizk","doi":"10.1109/WSC52266.2021.9715346","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715346","url":null,"abstract":"Effective project control in construction requires the rapid identification and subsequent mitigation of deviations from planned baselines and schedules. Although simulation has been used to successfully plan projects in the pre-construction phase, the use of simulation for project control during execution remains limited. Current real-time simulation strategies have difficulty self-adapting in response to deviations from planned baselines, requiring experienced simulation experts to manually update the input parameters of simulation models. This study is proposing a dynamic, data-driven simulation environment that is capable of minimizing the manual intervention required to incorporate as-built construction data in real-time by coupling newly-developed metadata structures with Bayesian inference. Still in development, an overview of the proposed simulation environment is presented, details of the advanced data structures are discussed, and preliminary functionality of the environment is demonstrated.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130506216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Multi-Aspect Agent-Based Model of COVID-19: Disease Dynamics, Contact Tracing Interventions and Shared Space-Driven Contagions 基于多主体的COVID-19模型:疾病动力学、接触者追踪干预和共享空间驱动的传染
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715445
Esteban Lanzarotti, L. Santi, R. Castro, Francisco Roslan, Leandro Groisman
{"title":"A Multi-Aspect Agent-Based Model of COVID-19: Disease Dynamics, Contact Tracing Interventions and Shared Space-Driven Contagions","authors":"Esteban Lanzarotti, L. Santi, R. Castro, Francisco Roslan, Leandro Groisman","doi":"10.1109/WSC52266.2021.9715445","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715445","url":null,"abstract":"In the quest to better understand the transmission dynamics of COVID-19 and the strategies to control its impact a wide range of simulation models have been developed. Faced with a novel disease with little-known characteristics and unprecedented impacts, the need arises to model multiple aspects with very dissimilar dynamics in a consistent and formal, but also flexible and quick way to study the combined interaction of these aspects. We present an agent-based model combining kinematic movement of agents, interaction between them and their surrounding space, and centralized control over the entire population. To achieve this, we use and extend the retQSS framework to model and simulate particle systems that interact with geometries. We study different contact tracing strategies and their efficacy in reducing infections in a population going through an epidemic process driven mainly by indoor airborne contagion.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124606721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Simulation-Based Approach To Compare Policies and Stakeholders’ Behaviors For The Ride-Hailing Assignment Problem 基于仿真的网约车分配问题政策与利益相关者行为比较研究
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715367
Ignacio Erazo, Rodrigo De la Fuente
{"title":"A Simulation-Based Approach To Compare Policies and Stakeholders’ Behaviors For The Ride-Hailing Assignment Problem","authors":"Ignacio Erazo, Rodrigo De la Fuente","doi":"10.1109/WSC52266.2021.9715367","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715367","url":null,"abstract":"This study focused on the ride-hailing assignment problem, aiming to optimize drivers' behaviors with respect to simultaneous objectives such as maximizing service level, minimizing CO2 emissions, and minimizing riders' waiting times. Four different policies were proposed and tested with a real-world case study. With respect to current literature, we present a more realistic simulation model, capturing all characteristics of a ride-hailing system and using road networks to approximate real-time road conditions. Furthermore, it is the first work that tests the effects of different passengers' arrival conditions and analyzes the multiple objectives for different zones of a large city. Results suggest that different passengers' arrival conditions affect the four proposed policies nearly identically. Finally, the policy of drivers remaining static instead of driving while searching for passengers had the highest service level and lowest average distance per ride.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129491609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Predicting Runway Configuration Transition Timings Using Machine Learning Methods 使用机器学习方法预测跑道配置过渡时间
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715492
Max En Cheng Lau, A. Lam, S. Alam
{"title":"Predicting Runway Configuration Transition Timings Using Machine Learning Methods","authors":"Max En Cheng Lau, A. Lam, S. Alam","doi":"10.1109/WSC52266.2021.9715492","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715492","url":null,"abstract":"Runway configuration change is one of the major factors effecting runway capacity. The transition-time required to change from one runway configuration to another is a key concern in optimising runway configuration. This study formulates prediction of runway transition timings as machine learning regression problem by using an ensemble of regressors which provides continuous estimates using flight trajectories, meteorological data, current and past runway configurations and active STAR routes. The data consolidation and feature engineering convert heterogeneous sources of data and includes a clustering-based prediction of arrival runways on with an 89.9% validity rate. The proposed model is applied on PHL airport with 4 runways and 23 possible configurations. The 6 major runways configuration changes modelled using Random Forest Regressor achieved R2 scores of at least 0.8 and median RMSE of 18.8 minutes, highlighting the predictive power of Machine Learning approach, for informed decision-making in runway configuration change management.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128337803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Calibrating Infinite Server Queueing Models Driven By Cox Processes Cox进程驱动的无限服务器排队模型的标定
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715351
Ruixin Wang, Harsha Honnappa
{"title":"Calibrating Infinite Server Queueing Models Driven By Cox Processes","authors":"Ruixin Wang, Harsha Honnappa","doi":"10.1109/WSC52266.2021.9715351","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715351","url":null,"abstract":"This paper studies the problem of calibrating a $text{Cox}/G/infty$ infinite server queue to a dataset consisting of the number in the system and the age of the jobs currently in service, sampled at discrete time points. This calibration problem is complicated owing to the fact that the arrival intensity and the service time distribution must be jointly calibrated. Furthermore, maximizing the finite dimensional distribution (FDD) of the number-in-system process (which is the natural calibration objective) is intractable in this setting, since the computation of the FDDs involves an intractable integration over the path measure of the Cox input process. We derive an approximate inference procedure that maximizes a lower bound to the FDDs using stochastic gradient descent. This lower bound is tight when the calibrated parameters coincide with those of the ‘true’ model. We present extensive numerical experiments that demonstrate the efficacy and validity of the proposed method.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131045867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Three Carriages Driving the Development of Intelligent Digital Twins-Simulation Plus Optimization and Learning 驱动智能数字双胞胎发展的三驾马车——仿真+优化与学习
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715381
Haobin Li, Xinhu Cao, Xiao Jin, L. Lee, E. P. Chew
{"title":"Three Carriages Driving the Development of Intelligent Digital Twins-Simulation Plus Optimization and Learning","authors":"Haobin Li, Xinhu Cao, Xiao Jin, L. Lee, E. P. Chew","doi":"10.1109/WSC52266.2021.9715381","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715381","url":null,"abstract":"Three key technologies are driving the development of intelligent decisions in the era of Industry 4.0. These technologies are machine learning, optimization, and simulation. It shows that solely relying on one technology is not able to meet the decision timeliness and accuracy requirement when solving current industry decision problems. Thus, to meet this challenge, this paper firstly discusses several possible integrations among the three technologies, in which simulation plays an important role in depicting the system models, generating data for optimization and learning, and validating optimized decisions and learned rules. A number of future research directions are pointed out based on the gap between the current technology / tools development and the industry needs. Finally, the paper proposes a possible collaboration mode among higher learning institutes, research institutes, equipment and platform developers, as well as end-users for better shaping the whole intelligent decision ecosystem.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133844197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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