António A. C. Vieira, L. Dias, M. Y. Santos, G. Pereira, J. A. Oliveira
{"title":"Real-Time Supply Chain Simulation: A Big Data-Driven Approach","authors":"António A. C. Vieira, L. Dias, M. Y. Santos, G. Pereira, J. A. Oliveira","doi":"10.1109/WSC40007.2019.9004717","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004717","url":null,"abstract":"Simulation of Supply Chains comprises huge amounts of data, resulting in numerous entities flowing in the model. These networks are highly dynamic systems, where entities’ relationships and other elements evolve with time, paving the way for real-time Supply Chain decision-support tools capable of using real data. In light of this, a solution comprising of a Big Data Warehouse to store relevant data and a simulation model of an automotive plant, are being developed. The purpose of this paper is to address the modelling approach, which allowed the simulation model to automatically adapt to the data stored in a Big Data Warehouse and thus adapt to new scenarios without manual intervention. The main characteristics of the conceived solution were demonstrated, with emphasis to the real-time and the ability to allow the model to load the state of the system from the Big Data Warehouse.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125925836","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}
Mohammad Ramshani, Xueping Li, Anahita Khojandi, Lorna Treffert
{"title":"An Optimization via Agent-based Simulation Framework to Integrate Stochastic Programming with Human Introduced Uncertainty","authors":"Mohammad Ramshani, Xueping Li, Anahita Khojandi, Lorna Treffert","doi":"10.1109/WSC40007.2019.9004909","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004909","url":null,"abstract":"Uncertainty is ubiquitous in almost every real world optimization problem. Stochastic programming has been widely utilized to capture the uncertain nature of real world optimization problems in many different aspects. These models, however, often fall short in adequately capturing the stochasticity introduced by the interactions within a system or a society involving human beings or sub-systems. Agent-based modeling, on the other hand, can efficiently handle such randomness resulting from the interactions among different members or elements of a systems. In this study, we develop a framework for stochastic programming optimization by embedding an agent-based model to allow uncertainties due to both stochastic nature of system parameters as well as the interactions among the agents. A case study is presented to show the effectiveness of the proposed framework.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114156734","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}
{"title":"Broadening Participation in Modelling","authors":"P. Fishwick, N. Mustafee","doi":"10.1109/WSC40007.2019.9004830","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004830","url":null,"abstract":"During Summer 2018, the first author spent a summer in Exeter. This summer-long experience was funded in part by a Leverhulme Trust Visiting Professor grant award obtained the year before. During the time spent, there were several trips hosted by other UK institutions, a public lecture on modelling, and interaction with faculty at the University of Exeter, which was the host institution for the grant. Broadening participation in modelling was a key theme of this visit. The awardee found that he was spending significant time spanning normally distinct departments and faculty in a quest to better understand the diverse nature of modelling. We summarize the key milestones of the visit, and project how the summer experience might inform the discipline of modelling. Further, we provide a roadmap for other researchers who may wish to collaborate in applying for similar grant awards.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114214989","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}
{"title":"Simulation Of Real-Time And Opportunistic Truck Platooning At The Port Of Rotterdam","authors":"B. Gerrits, M. Mes, P. Schuur","doi":"10.1109/WSC40007.2019.9004852","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004852","url":null,"abstract":"Truck platooning is the concept of multiple trucks driving at aerodynamically efficient inter-vehicle distances in a cooperative and semi-autonomous fashion. Advanced sensor technology and wireless communication is used to maintain short and safe following distances between the trucks. This paper proposes an agent-based simulation model to evaluate a matchmaking system for trucks to find a suitable partner to platoon with. We consider two types of platoon matching: real-time (at a truck stop) and opportunistic (while driving on the highway). We evaluate the proposed system using a case study at the Port of Rotterdam and the surrounding area, where we study various factors influencing platoon formation and profitability. Results show that the most influential factors in both platoon formation and the total platoon profitability are wage savings and the possibility of different truck brands to platoon together.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121240968","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}
{"title":"Domain-Specific Language for Modeling and Simulating Actions in Logistics Networks","authors":"M. Rabe, Dominik Schmitt","doi":"10.1109/WSC40007.2019.9004662","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004662","url":null,"abstract":"Making adjustments to a logistics network to keep it in good condition is a major challenge. Logistics assistance systems are regularly used to support this process. The authors have developed such a logistics assistance system that identifies, evaluates, and proposes promising actions to the decision-maker. A simheuristic approach, utilizing a data-driven discrete event simulation in combination with meta-heuristic algorithms is used for this purpose. A typical feature of such systems, however, is that the possible changes to the logistics network are predefined by the respective logistics assistance system. In order to address this aspect, the authors have developed a novel method that allows for modeling, integration, and simulation of user-generated actions. The method is based on a domain-specific language for the formal description of actions in logistics networks, allowing domain experts to model actions without having in-depth programming knowledge.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116605077","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}
Weizhi Liu, Haobin Li, L. Lee, E. P. Chew, Hui Xiao
{"title":"Optimal Computing Budget Allocation for Binary Classification with Noisy Labels and its Applications on Simulation Analytics","authors":"Weizhi Liu, Haobin Li, L. Lee, E. P. Chew, Hui Xiao","doi":"10.1109/WSC40007.2019.9004832","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004832","url":null,"abstract":"In this study, we consider the budget allocation problem for binary classification with noisy labels. The classification accuracy can be improved by reducing the label noises which can be achieved by observing multiple independent observations of the labels. Hence, an efficient budget allocation strategy is needed to reduce the label noise and meanwhile guarantees a promising classification accuracy. Two problem settings are investigated in this work. One assumes that we do not know the underlying classification structures and labels can only be determined by comparing the sample average of its Bernoulli success probability with a given threshold. The other case assumes that data points with different labels can be separated by a hyperplane. For both cases, the closed-form optimal budget allocation strategies are developed. A simulation analytics example is used to demonstrate how the budget is allocated to different scenarios to further improve the learning of optimal decision functions.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122499248","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}
{"title":"Evaluation of Metaheuristic Algorithms for the Improvement of Sustainability in the Construction Area","authors":"Lluís Aunós i Chicón, Pau Fonseca i Casas","doi":"10.1109/WSC40007.2019.9004711","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004711","url":null,"abstract":"NECADA infrastructure supports the execution of a simulation model of buildings or urban areas, taking care of environmental directives and international standards in the design process. The aim of this simulation model is to optimize the entire life cycle of the system from the point of view of sustainability (environmental, social and economic impacts), taking care of the comfort and climate change to achieve a Nearly Zero Energy Building. Due to the huge amount of factors to be considered, the number of scenarios to be simulated is huge, hence the use of optimization and specifically heuristics, is needed to get an answer in a reasonable time. This project aims to analyze the accuracy of two of the most used metaheuristics in this area. To do so we base our analysis in an extensive dataset obtained from a brute force execution, which represents a typical dataset for this kind of problem.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122685120","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}
{"title":"Coupled Traffic Simulation by Detached Translation Federates: An HLA-Based Approach","authors":"Moritz Gütlein, Anatoli Djanatliev","doi":"10.1109/WSC40007.2019.9004809","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004809","url":null,"abstract":"Typically, there is more than one possible answer to the qüestion of how to model and simülate a problem. Combinations of different simülation paradigms and techniqües are cürrently in vogüe and potentially necessary to meet certain reqüirements. Besides clear advantages, model combinations tend to increase the complexity of the overall model büilding process. Even if different paradigms are coüpled via a middleware, another üse case might reqüire reimplementing the connections. Additionally, üsers need increased effort to ünderstand how the resülts have been generated in composed models. If it is not clear how data has been transformed from inpüt to oütpüt, the tmst in simülation is impaired. In order to coünteract, a concept for reüsable translation between sübmodels is proposed, leading to a better transparency regarding the data flows. We applied the High Level Architecture based approach to connect a macroscopic, a mesoscopic, and a microscopic traffic simülation.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131763695","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}
{"title":"Who goes there? Using an agent-based simulation for tracking population movement","authors":"J. Lueck, J. Rife, S. Swarup, N. Uddin","doi":"10.1109/WSC40007.2019.9004861","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004861","url":null,"abstract":"We present a method to apply simulations to the tracking of a live event such as an evacuation. We assume only a limited amount of information is available as the event is ongoing, through population-counting sensors such as surveillance cameras. In this context, agent-based models provide a useful ability to simulate individual behaviors and relationships among members of a population; however, agent-based models also introduce a significant data-association challenge when used with population-counting sensors that do not specifically identify agents. The main contribution of this paper is to develop an efficient method for managing the combinatorial complexity of data association. The key to our approach is to map from the state-space to an alternative correspondence-vector domain, where the measurement update can be implemented efficiently. We present a simulation study involving an evacuation over a road network and show that our method allows close tracking of the population over time.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127738233","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}
Clemens Gutschi, N. Furian, Siegfried Voessner, M. Graefe, A. Kolios
{"title":"Evaluating the Performance of Maintenance Strategies: A Simulation-based Approach for Wind Turbines","authors":"Clemens Gutschi, N. Furian, Siegfried Voessner, M. Graefe, A. Kolios","doi":"10.1109/WSC40007.2019.9004681","DOIUrl":"https://doi.org/10.1109/WSC40007.2019.9004681","url":null,"abstract":"The performance of multi-component systems is heavily influenced by the individual maintenance strategy applied on each subsystem, its costs and the impact of subsystem fails on the performance of the whole system. For an assessment of different combinations of maintenance strategies, we present a simulation-based evaluation approach applied to an offshore wind farm, investigating the produced energy and levelized costs of electricity. The evaluation is carried out by breaking wind turbines down into major subsystems, applying different suitable maintenance strategies to them and monitoring the performance of the entire wind farm. The investigated configurations include corrective, predictive and reliability-centered maintenance strategies. Thereby we investigate limits regarding minimum and maximum performance as well as the impact of a realistic application of monitoring systems on system performance.","PeriodicalId":127025,"journal":{"name":"2019 Winter Simulation Conference (WSC)","volume":"256 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131817422","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}