Martijn P. O. J. Gootzen, I. Adan, Jorine W. E. Heling, B. V. Wijngaarden
{"title":"Task scheduling in a full roaming shuttle system","authors":"Martijn P. O. J. Gootzen, I. Adan, Jorine W. E. Heling, B. V. Wijngaarden","doi":"10.1109/WSC.2016.7822320","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822320","url":null,"abstract":"A new concept in automated storage and retrieval systems is the full roaming shuttle system, the distinguishing feature of which is that its material handling shuttles are not aisle-captive, but can easily switch aisles and levels in the storage area. A consequence of this flexibility is that shuttles more often overtake each other and deliver product totes in a different sequence than they are requested. In case of strict sequence requirements for delivered totes, this leads to more waiting time of shuttles and thus to loss of throughput capacity. In this paper we propose heuristics to assign tasks to shuttles that aim at minimizing the number of out-of-sequence occurrences and at maximizing the throughput capacity. These heuristics are evaluated through simulation. The results suggest that, in comparison to first-in first-out task assignment, substantial throughput improvement can be achieved by employing smart task assignment heuristics.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124317648","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":"The impact of broadcasting on the spread of opinions in social media conversations","authors":"Chaitanya Kaligotla, E. Yücesan, S. Chick","doi":"10.1109/WSC.2016.7822377","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822377","url":null,"abstract":"We extend our earlier work by focusing on broadcasting opinions (one-to-many interactions) alongside narrowcasts (one-to-one interactions) in social media conversations taking explicitly into consideration the behavioral characteristics of agents and the properties of the underlying network. In particular, we construct a generalized model for the spread of influence through broadcast and narrowcast interactions on social media discussion sites, and implement an agent-based model to develop insights regarding the effects of broadcasting. Our preliminary experiments show that increased broadcasting (in terms of frequency, depth, and number of broadcasters) increases homogeneity in an evolving scale-free network.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"320 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124533446","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}
S. Rosen, Peter L. Salemi, B. Wickham, A. Williams, Christine Harvey, Erin Catlett, Sajjad Taghiyeh, Jie Xu
{"title":"Parallel Empirical Stochastic Branch and Bound for large-scale discrete optimization via Simulation","authors":"S. Rosen, Peter L. Salemi, B. Wickham, A. Williams, Christine Harvey, Erin Catlett, Sajjad Taghiyeh, Jie Xu","doi":"10.1109/WSC.2016.7822127","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822127","url":null,"abstract":"Real-life simulation optimization applications often deal with large-scale simulation models that are time-consuming to execute. Parallel computing environments, such as high performance computing clusters and cloud computing services, provide the computing power needed to scale to such applications. In this paper, we show how the Empirical Stochastic Branch and Bound algorithm, an effective globally convergent random search algorithm for discrete optimization via simulation, can be adapted to a high-performance computing environment to effectively utilize the power of parallelism. We propose a master-worker structure driven by MITRE's Goal-Directed Grid-Enabled Simulation Experimentation Environment. Numerical experiments with the popular Ackley benchmark test function and a real-world simulation called runwaySimulator demonstrate the number of cores needed to achieve a good scaled efficiency of parallel empirical stochastic branch and bound for increasing levels of simulation run times.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114430073","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":"A data model for planning in the semiconductor supply chain","authors":"I. M. Ovacik","doi":"10.1109/WSC.2016.7822302","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822302","url":null,"abstract":"A recent gathering of academic and industry researchers has identified the need for a reference model for planning and control in semiconductor supply chains. The purpose of this model is to provide a common language for researchers working on different aspects of modeling and analysis of the semiconductor manufacturing supply chain, facilitate better communication and provide a common starting point for performance assessment across different analysis approaches to the planning and control problems. This paper introduces a data model to advance the discussion of this reference model. The data model is generic in that it is not specific to semiconductor manufacturing, but has been used in practical settings to drive analysis and application development to serve several planning functions in a major semiconductor manufacturing company.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114708285","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":"Modeling of complex decision making using forward simulation","authors":"Thomas Winkler, Paul Barthel, Ralf Sprenger","doi":"10.1109/WSC.2016.7822332","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822332","url":null,"abstract":"The complexity of simulation models has increased during the last years in semiconductor foundries. Manual and automated decisions have to be modeled in detail to make the right conclusions from them. We describe an approach that uses forward simulation to minimize modeling effort and mimics fab behavior to a high degree. The approach is applied to the problem of controlling time link chains. Results are presented and other applications are discussed.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117040540","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 analytics for virtual statistics via k nearest neighbors","authors":"Yujing Lin, B. Nelson","doi":"10.1109/WSC.2016.7822111","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822111","url":null,"abstract":"“Virtual statistics” are performance measures that are conditional on the occurrence of an event; virtual waiting time of a customer arriving to a queue at time t is one example. In this paper, we describe a k-nearest-neighbor method for estimating virtual statistics post-simulation from the retained sample paths, examining both its small-sample and asymptotic properties. We implement leave-one-replication-out cross validation for tuning the parameter k, and compare the prediction performance of the k-nearest-neighbor estimator with a time-bucket estimator.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117134753","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":"A simulation of variability-oriented sequencing rules on block surgical scheduling","authors":"Luisa Nino, Sean Harris, David Claudio","doi":"10.1109/WSC.2016.7822247","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822247","url":null,"abstract":"Surgery scheduling has received considerable attention in recent years. Block schedules, in which surgeon groups utilize the OR for whatever surgeries they have scheduled for the day, present additional challenges to schedulers. While mean operation times are often used as the primary factor in scheduling strategies, the variability of these operations is not. Recent research suggests that sequencing surgeries based on their variation may decrease the number of late surgery starts. This article builds upon this emerging methodology of variability-oriented sequencing rules for block schedules. Discrete event simulation was used to examine the effectiveness of different sequencing algorithms in reducing the number of behind schedule surgeries and their magnitude. The number and magnitude of tardy surgeries and the patient waiting time were significantly improved by an average of 40% with the proposed scheduling strategies. Additional simulations explored several variations of the variability-based scheduling methodology.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117304012","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}
David Wood, Meena Nagarajan, A. Opp, Subhashini Ganapathy, M. Cheatham, J. Gallagher, J. Gruenberg, Jack Smith
{"title":"Using model-based simulation for augmenting Incident Command System for disaster response","authors":"David Wood, Meena Nagarajan, A. Opp, Subhashini Ganapathy, M. Cheatham, J. Gallagher, J. Gruenberg, Jack Smith","doi":"10.1109/WSC.2016.7822336","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822336","url":null,"abstract":"The National Incident Management System has become the dominant organizational model for the management of emergency and disaster response and recovery operations. The Incident Command System (ICS) provides reporting and operational templates that structure activities and the management of resources and communications during an incident or event. In an emergency situation, information can be sometimes contradictory and may not be “clean”. In order for Command Officers to maintain good situation awareness of these dynamic situations, the system should be able to adapt by taking into account the type of information available, the specific task at hand, and knowledge derived from the information integration agent. This paper presents a design of ICS model and discusses the simulation architecture to support ICS commanders to potentially minimize cognitive load on decision makers, exploit semantic relationships in reports and sensor data to advice of invisible occurrences to better reflect ongoing developments during crisis management.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525118","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}
K. Clements, K. Sweeney, A. Tremont, V. Muralidhara, M. Kuhl
{"title":"Evaluation of warehouse bulk storage lane depth and ABC space allocation using simulation","authors":"K. Clements, K. Sweeney, A. Tremont, V. Muralidhara, M. Kuhl","doi":"10.1109/WSC.2016.7822265","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822265","url":null,"abstract":"The principal intention of this paper is to develop an approach for modeling bulk lane storage in a high-volume warehouse environment. Poor layout planning can lead to an ineffective use of space and is a concern of many companies today. A simulation methodology is presented to evaluate alternative bulk storage warehouse configurations. Parameters of interest are the depth of bulk lane rows and the space allotted for various frequency zones. Analysis of representative data shows that there are variations of bulk lane depth and zone size that can reduce travel distance and thus reduce cost. In addition, we present an application of the methodology involving the design of a bulk storage facility for a company.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117167267","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}
J. Hurter, William Aubrey, S. G. Martinez, Crystal S. Maraj, Irwin L. Hudson
{"title":"An analysis of questionnaires and performance measures for a simulation-based kinesic cue detection task","authors":"J. Hurter, William Aubrey, S. G. Martinez, Crystal S. Maraj, Irwin L. Hudson","doi":"10.1109/WSC.2016.7822344","DOIUrl":"https://doi.org/10.1109/WSC.2016.7822344","url":null,"abstract":"The attraction of Simulation-Based Training for unmanned Intelligence, Surveillance, and Reconnaissance tasks has sparked testing for instructional strategies in a kinesic cue detection task. Early evidence of training effectiveness for this task is manifested by performance and self-report measures. The wealth of surveys collected include aspects of users' technology acceptance, immersion, intrinsic motivation, stress, workload, and demographics. This paper reviews these detection task measures in light of an instructional strategy, Kim's Game. A cross-scale analysis of the provided measures indicates strong correlations between several subscales. An investigation of potential predictors of performance indicates weekly computer use is statistically significant in predicting a user's Posttest Median Response Time for behavior cue detection. Recommendations for future initiatives include adding feedback, questioning concern for increasing immersion, and comparing results to other instructional strategies.","PeriodicalId":367269,"journal":{"name":"2016 Winter Simulation Conference (WSC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124451747","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}