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Modeling Of Waiting Lists For Chronic Heart Failure In The Wake Of The COVID-19 Pandemic COVID-19大流行后慢性心力衰竭等候名单的建模
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715505
Alan F. Wise, Lucy E. Morgan, Al Heib, C. Currie, A. Champneys, Nadarajah I Ramesh, C. Gale, M. Mamas
{"title":"Modeling Of Waiting Lists For Chronic Heart Failure In The Wake Of The COVID-19 Pandemic","authors":"Alan F. Wise, Lucy E. Morgan, Al Heib, C. Currie, A. Champneys, Nadarajah I Ramesh, C. Gale, M. Mamas","doi":"10.1109/WSC52266.2021.9715505","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715505","url":null,"abstract":"The Covid-19 pandemic has disrupted access to health services globally for patients with non-Covid-19 conditions. We consider the condition of heart failure and describe a discrete event simulation model built to describe the impact of the pandemic and associated societal lockdowns on access to diagnosis procedures. The number of patients diagnosed with heart failure fell during the pandemic and in the UK, the number of GP referrals for diagnostic tests in November 2020 were at 20% of their pre-pandemic levels. While the numbers in the system have fallen clinicians believe that this is not reflective of a change in need, suggesting that many patients are delaying accessing care during pandemic peaks. While the effect of this is uncertain, it is thought that this could have a significant impact on patient survival. Initial results reproduce the observed increase in the number of patients waiting.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"11 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":"131357237","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 Tutorial on Participative Discrete Event Simulation in The Virtual Workshop Environment 虚拟车间环境中参与式离散事件模拟教程
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715503
Antuela A. Tako, Kathy Kotiadis
{"title":"A Tutorial on Participative Discrete Event Simulation in The Virtual Workshop Environment","authors":"Antuela A. Tako, Kathy Kotiadis","doi":"10.1109/WSC52266.2021.9715503","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715503","url":null,"abstract":"Facilitated discrete event simulation offers an alternative mode of engagement with stakeholders (clients) in simulation projects. Pre-covid19 this was undertaken in face-to-face workshops but the new reality has meant that this is no longer possible for many of us around the globe. This tutorial explores PartiSim, short for Participative Simulation, as adapted to fit the new reality of holding virtual workshops with stakeholders. PartiSim is a participative and facilitated modelling approach developed to support simulation projects through a framework, stakeholder-oriented tools and manuals in facilitated workshops. We describe a typical PartiSim study consisting of six stages, four of which involve facilitated workshops and how it can be undertaken in a virtual workshop environment. We have developed games to provide those attending the tutorial with the experience of virtual facilitation.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"85 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":"132401338","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
Adaptive Rule Based Order Release in Semiconductor Manufacturing 半导体制造中基于自适应规则的订单释放
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715456
Philipp Neuner
{"title":"Adaptive Rule Based Order Release in Semiconductor Manufacturing","authors":"Philipp Neuner","doi":"10.1109/WSC52266.2021.9715456","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715456","url":null,"abstract":"This paper analyzes two periodic order release mechanisms and their promising extensions by using a simulation model of a scaled-down wafer fabrication facility. One extends the Backward Infinite Loading (BIL) approach by dynamically adjusting lead times and considering safety lead times, and the other extends the COrrected aggregate Load Approach (COLA) by incorporating a dynamic time limit into its release procedure (Overload). Both are periodic approaches aiming at improving the timing performance and can react to the dynamics on the shop floor, where semiconductor manufacturing provides a very challenging environment. The results show that Overload outperforms all other mechanisms by yielding less total costs mainly due to a more balanced shop which results in the lowest WIP costs. Further, Overload reduces inventory costs compared to BIL and COLA. These results reinforce the finding of previous research that periodic rule based order release models are a viable alternative for semiconductor manufacturing.","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":"130004047","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
One Step at a Time: Improving the Fidelity of Geospatial Agent-Based Models Using Empirical Data 一步一步:利用经验数据提高地理空间主体模型的保真度
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715342
Amy A. Marusak, Caroline C. Krejci, Anuj Mittal
{"title":"One Step at a Time: Improving the Fidelity of Geospatial Agent-Based Models Using Empirical Data","authors":"Amy A. Marusak, Caroline C. Krejci, Anuj Mittal","doi":"10.1109/WSC52266.2021.9715342","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715342","url":null,"abstract":"Agent-based modeling is frequently used to produce geospatial models of transportation systems. However, reducing the computational requirements of these models can require a degree of abstraction that can compromise the fidelity of the modeled environment. The purpose of the agent-based model presented in this paper is to explore the potential of a volunteer-based crowd-shipping system for rescuing surplus meals from restaurants and delivering them to homeless shelters in Arlington, Texas. Each iteration of the model's development has sought to improve model realism by incorporating empirical data to strengthen underlying assumptions. This paper describes the most recent iteration, in which a method is presented for selecting eligible volunteers crowd-shippers based on total trip duration, derived from real-time traffic data. Preliminary experimental results illustrate the impact of adding trip duration constraints and increasing the size of the modeled region on model behavior, as well as illuminating the need for further analysis.","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":"117289553","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
Machine Learning-Based Periodic Setup Changes for Semiconductor Manufacturing Machines 基于机器学习的半导体制造机器的周期性设置更改
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715383
Je-Hun Lee, Hyun-Jung Kim, Young Kim, Y. Kim, Byung-Hee Kim, Gu-Hwan Chung
{"title":"Machine Learning-Based Periodic Setup Changes for Semiconductor Manufacturing Machines","authors":"Je-Hun Lee, Hyun-Jung Kim, Young Kim, Y. Kim, Byung-Hee Kim, Gu-Hwan Chung","doi":"10.1109/WSC52266.2021.9715383","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715383","url":null,"abstract":"Semiconductor manufacturing machines, especially for photo-lithography processes, require large setup times when changing job types. Hence, setup operations do not often occur unless there is no job to be processed. In practice, a simulation-based method that predicts the incoming WIP is often used to determine whether changing machine setup states or not. The simulation-based method can provide useful information on the future production environment with a high accuracy but takes a long time, which can delay the setup change decisions. Therefore, this work proposes a machine learning-based approach that determines setup states of the machines. The proposed method shows better performance than several heuristic rules in terms of movement.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"61 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":"131689054","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 New M&S Engineering Program With A Base In Computer Engineering 以计算机工程为基础的M&S工程新课程
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715368
J. Leathrum, Yuzhong Shen, Oscar R. González
{"title":"A New M&S Engineering Program With A Base In Computer Engineering","authors":"J. Leathrum, Yuzhong Shen, Oscar R. González","doi":"10.1109/WSC52266.2021.9715368","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715368","url":null,"abstract":"The reality of the current academic climate, in particular faced with drops in enrollment over the next decade as a result from drops in birth rates, is forcing hard choices for small programs such as the Modeling & Simulation Engineering (M&SE) program at Old Dominion University (ODU). The quality of the program and its benefit to its constituents do not offset the impracticality of continuing such programs. Two primary options for such programs are closure or consolidation. ODU decided on the latter course of action for M&SE. Due to the computational nature of the existing program, a decision was made to place M&SE as a major under the Computer Engineering degree. This paper presents the justification for this decision and the resulting curriculum and the hard decisions made to allow it to fit under computer engineering. A discussion of feedback from constituents such as the industrial advisory board for the existing M&SE program is included.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"28 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":"114417137","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
Hide Your Model! Layer Abstractions for Data-Driven Co-Simulations 隐藏你的模型!数据驱动协同仿真的层抽象
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715317
Moritz Gütlein, R. German, Anatoli Djanatliev
{"title":"Hide Your Model! Layer Abstractions for Data-Driven Co-Simulations","authors":"Moritz Gütlein, R. German, Anatoli Djanatliev","doi":"10.1109/WSC52266.2021.9715317","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715317","url":null,"abstract":"Modeling and simulating of problems that span across multiple domains can be tricky. Often, the need for a co-simulation arises, for example because the modeling cannot be done with a single tool. Domain experts may face a barrier when it comes to the implementation of such a co-simulation. In addition, the demand for integrating data from various sources into simulation models seems to be growing. Therefore, we propose an abstraction concept that hides simulators and models behind generalized interfaces that are derived from prototypical classes. The data-driven abstraction concept facilitates having an assembly kit with predefined simulator building blocks that can be easily plugged together. Furthermore, data streams can be seamlessly ingested into such a composed model. Likewise, the co-simulation can be accessed via the resulting interfaces for further processing and interactions.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"55 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":"114847636","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
Simulation Optimization for a Digital Twin Using a Multi-Fidelity Framework 基于多保真度框架的数字孪生仿真优化
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715498
Yiyun Cao, C. Currie, B. Onggo, Michael Higgins
{"title":"Simulation Optimization for a Digital Twin Using a Multi-Fidelity Framework","authors":"Yiyun Cao, C. Currie, B. Onggo, Michael Higgins","doi":"10.1109/WSC52266.2021.9715498","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715498","url":null,"abstract":"Digital twin technology is increasingly ubiquitous in manufacturing and there is a need to increase the efficiency of optimization methods that use digital twins to answer questions about the real system. These methods typically support short-term operational decisions and, as a result, optimization methods need to return results in real or near-to-real time. This is especially challenging in manufacturing systems as the simulation models are typically large and complex. In this article, we describe an algorithm for a multi-fidelity model that uses a simpler low-fidelity neural network metamodel in the first stage of the optimization and a high-fidelity simulation model in the second stage. Initial experimentation suggests that it performs well.","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":"114889136","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
An Educational Model for Competence Development Within Simulation and Technologies for Industry 4.0 面向工业4.0的仿真与技术能力发展教育模式
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1109/WSC52266.2021.9715395
K. Eriksson, Eva Bränneby, Monika Hagelin
{"title":"An Educational Model for Competence Development Within Simulation and Technologies for Industry 4.0","authors":"K. Eriksson, Eva Bränneby, Monika Hagelin","doi":"10.1109/WSC52266.2021.9715395","DOIUrl":"https://doi.org/10.1109/WSC52266.2021.9715395","url":null,"abstract":"In the era of industry 4.0 businesses are pursuing applications of technological developments towards increased digitization. This in turn necessitates continuous and increasing demand for competence development of professionals. This paper reports a study of the design of university courses targeted towards professionals and investigate how such an educational incentive can act as a catalyst for application of technologies for industry 4.0, including simulation. Quantitative data is collected from fifteen courses addressing the competence need in manufacturing industry, and the qualitative data includes ten focus groups with course participants from companies. The results highlight that the course design enables knowledge exchange between university and industry and between participants. Moreover the pedagogy of working on real cases can facilitate opportunities for introducing new technologies to management. The study shows that the educational incentive explored can act as a catalyst for application of simulation and technologies within industry 4.0 in manufacturing industry.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"54 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":"116983898","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
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training 学习通过神经网络和Wasserstein训练来模拟顺序生成的数据
2021 Winter Simulation Conference (WSC) Pub Date : 2021-12-12 DOI: 10.1145/3583070
Tingyu Zhu, Haoyu Liu, Zeyu Zheng
{"title":"Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training","authors":"Tingyu Zhu, Haoyu Liu, Zeyu Zheng","doi":"10.1145/3583070","DOIUrl":"https://doi.org/10.1145/3583070","url":null,"abstract":"We propose a new framework of a neural network-assisted sequential structured simulator to model, estimate, and simulate a wide class of sequentially generated data. Neural networks are integrated into the sequentially structured simulators in order to capture potential nonlinear and complicated sequential structures. Given representative real data, the neural network parameters in the simulator are estimated through a Wasserstein training process, without restrictive distributional assumptions. Moreover, the simulator can flexibly incorporate various kinds of elementary randomness and generate distributions with certain properties such as heavy-tail. Regarding statistical properties, we provide results on consistency and convergence rate for estimation of the simulator. We then present numerical experiments with synthetic and real data sets to illustrate the performance of our estimation method.","PeriodicalId":369368,"journal":{"name":"2021 Winter Simulation Conference (WSC)","volume":"145 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":"116026867","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
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