{"title":"Ranked outcome approach to air-to-air combat modelling","authors":"A. Cowdale","doi":"10.1109/WSC.2014.7020074","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020074","url":null,"abstract":"Computer simulation models have been used for many years to assess the overall effectiveness of a military campaign. At the campaign level, engagements (such as air-to-air combat) will invariably be represented at relatively high levels of aggregation. This paper explores the potential for using a ranked outcome approach (rather than a traditional probabilistic approach) to provide an alternative representation of engagements within an air combat simulation.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133737117","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-based multiobjective optimization of bridge construction processes using parallel computing","authors":"S. Salimi, Mohammed Mawlana, A. Hammad","doi":"10.1109/WSC.2014.7020162","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020162","url":null,"abstract":"Conventionally, efforts are made to optimize the performance of simulation models by examining several possible resource combinations. However, the number of possible resource assignments increases exponentially with the increase of the range of available resources. Many researchers combined Genetic Algorithms (GAs) and other optimization techniques with simulation models to reach the Pareto solutions. However, due to the large number of resources required in complex and large-scale construction projects, which results in a very large search space, and the limittion of the GA capability in fast convergence to the optimum results, parallel computing is required to reduce the computational time. This paper proposes the usage of Non-dominated Sorting Genetic Algorithm (NSGA-II) as the optimization engine integrated with Discrete Event Simulation (DES) to model the bridge construction processes. The parallel computing platform is applied to reduce the computation time necessary to deal with multiple objective functions and the large search space.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130444055","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":"Towards a conceptual model and framework for management games","authors":"Oana Nicolae, Gerd Wagner","doi":"10.1109/WSC.2014.7020183","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020183","url":null,"abstract":"Management games have a long history in management and social science education, and a large number of such games has been developed and is being used in university education and in professional training. With the increasing use of computers in recent decades, most of them have been developed in computerized form. However, typically, these games are being developed in isolation, without (re-)using any general model, or methodology, or simulation engineering framework. In this paper we propose a basic conceptual model for business management games based on the classical Lemonade Stand Game and we show how to construct incremental extensions of this model and how to implement them as web-based simulations using standard web technologies.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130618791","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}
P. García-Herreros, I. Grossmann, B. Sharda, A. Agarwal, J. Wassick
{"title":"Empirical study of the behavior of capacitated production-inventory systems","authors":"P. García-Herreros, I. Grossmann, B. Sharda, A. Agarwal, J. Wassick","doi":"10.1109/WSC.2014.7020068","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020068","url":null,"abstract":"Production-inventory systems model the interaction of manufacturing processes with internal and external customers. The role of inventory in these systems is to buffer mismatches between production and demand caused by process uncertainty. Often, production and demand variability is described using simplified probabilistic models that ignore underlying characteristics such as skewness or autocorrelation. These models lead to suboptimal inventory policies that result in higher costs. This work presents a novel analysis of the impact of uncertainty in the performance of production-inventory systems. It quantifies the effect of different probabilistic descriptions of production capacity and demand in systems subject to lost sales or backorders. The analysis is based on the results of discrete-event simulations. The flexibility offered by simulation allows studying diverse conditions that arise in production-inventory systems. The results clearly illustrate the importance of appropriately quantifying variability and performance for inventory management in process networks.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116848675","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}
Guillem Cabrera, Sergio González-Martín, A. Juan, J. Marquès, S. Grasman
{"title":"Combining biased random sampling with metaheuristics for the facility location problem in distributed computer systems","authors":"Guillem Cabrera, Sergio González-Martín, A. Juan, J. Marquès, S. Grasman","doi":"10.5555/2693848.2694227","DOIUrl":"https://doi.org/10.5555/2693848.2694227","url":null,"abstract":"This paper introduces a probabilistic algorithm for solving the well-known Facility Location Problem (FLP), an optimization problem frequently encountered in practical applications in fields such as Logistics or Telecommunications. Our algorithm is based on the combination of biased random sampling -using a skewed probability distribution- with a metaheuristic framework. The use of random variates from a skewed distribution allows to guide the local search process inside the metaheuristic framework which, being a stochastic procedure, is likely to produce slightly different results each time it is run. Our approach is validated against some classical benchmarks from the FLP literature and it is also used to analyze the deployment of service replicas in a realistic Internet-distributed system.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117027732","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}
M. Scheffer, T. Rahm, R. Duhme, M. Thewes, M. König
{"title":"Jobsite logistic simulation in mechanized tunneling","authors":"M. Scheffer, T. Rahm, R. Duhme, M. Thewes, M. König","doi":"10.1109/WSC.2014.7020032","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020032","url":null,"abstract":"Projects in mechanized tunneling frequently do not reach their targeted production performance. Reasons are often related to an undersized or disturbed supply-chain management of the surface jobsite. Due to the sensitive interaction of production and logistic processes, planning and analyzing the supply-chain is a challenging task. Transparent evaluation of chosen logistic strategies or project setups can be achieved by application of process simulation. This paper presents the continued work of a simulation approach to analyze the complex system of mechanized tunneling. Special focus of this publication lies on the internal logistic as a part of the jobsite supply-chain. The generic implementation allows a flexible configuration of jobsite elements to compare possible setups. A case study demonstrates the approach and highlights the sensitive interaction of production and logistic processes under the influence of disturbances. Additionally, improvements to the original setup of the case study's construction equipment can be derived.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131397085","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":"Flexible job-shop scheduling with extended route flexibility for semiconductor manufacturing","authors":"Sebastian Knopp, S. Dauzére-Pérés, C. Yugma","doi":"10.1109/WSC.2014.7020091","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020091","url":null,"abstract":"Scheduling decisions have an important impact on the overall performance of a semiconductor manufacturing facility (fab). To account for machines that consist of several interdependent components, we generalize the flexible job-shop scheduling problem. We introduce the concept of route graphs to describe resource dependencies. Beside specifying feasible routes, route graphs can, for example, prescribe two different operations in the route of a job to use the very same resource. To solve the problem, we introduce an adapted disjunctive graph representation and propose a heuristic method that iteratively inserts jobs to construct an initial solution. This solution is then improved using a simulated annealing meta-heuristic. Several numerical experiments are performed. First, improved results for a real-world instance justify the increased complexity of our model. Second, a comparison to results of dedicated methods for the flexible job-shop scheduling problem shows that our approach obtains good results.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132727693","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 time and space complexity analysis of model integration","authors":"M. North","doi":"10.1109/WSC.2014.7020015","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020015","url":null,"abstract":"The computational study of complex systems increasingly requires model integration. The drivers include a growing interest in leveraging accepted legacy models, an intensifying pressure to reduce development costs by reusing models, and expanding user requirements that are best met by combining different modeling methods. There have been many published successes including supporting theory, conceptual frameworks, software tools, and case studies. Nonetheless, on an empirical basis, the published work suggests that correctly specifying model integration strategies remains challenging. This naturally raises a question that has not yet been answered in the literature, namely `what is the computational difficulty of model integration?' This paper's contribution is to address this question with a time and space complexity analysis that concludes that deep model integration with proven correctness is both NP-complete and PSPACE-complete and that reducing this complexity requires sacrificing correctness proofs in favor of guidance from both subject matter experts and modeling specialists.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131690939","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":"System simulation as decision data in heathcare it","authors":"C. Brust, Robin J. Clark","doi":"10.1109/WSC.2014.7019987","DOIUrl":"https://doi.org/10.1109/WSC.2014.7019987","url":null,"abstract":"Information Technology in healthcare is an ever-growing enterprise, with medical providers becoming more and more reliant on data to make care decisions. With the increased reliance on these applications for care, questions arise around the availability and manageability of those systems. This paper examines a model which has been developed for the selection of computing infrastructure architectures in healthcare organizations. This model utilizes the Analytics Hierarchy Process (AHP) to weigh the various criteria that come into play for decisions of this nature. Further, to vet the recommendations of the AHP model, and to lend quantitative data to the decision making process, simulations of the various architectural options were built for various application scenarios. The results of these simulations thus serve as additional validation of the model's efficacy. This paper focuses on the use of discrete event simulation using ExtendSim® to assist in the architectural selection process for computing architectures.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132246037","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":"Optimizing the design and operation of a beer packaging line through an advanced simio-based DES tool","authors":"Natalia P. Basán, Mariana E. Cóccola, C. Méndez","doi":"10.1109/WSC.2014.7020045","DOIUrl":"https://doi.org/10.1109/WSC.2014.7020045","url":null,"abstract":"Discrete event simulation (DES) techniques cover a broad collection of methods and applications that allows imitating, assessing, predicting and enhancing the behavior of large and complex real-world processes. This work introduces a modern DES framework, developed with SIMIO simulation software, to optimize both the design and operation of a complex beer packaging system. The proposed simulation model provides a 3D user-friendly graphical interface which allows evaluating the dynamic operation of the system over time. In turn, the simulation model has been used to perform a comprehensive sensitive analysis over the main process variables. In this way, several alternative scenarios have been assessed in order to achieve remarkable performance improvements. Alternative heuristics and optimization by simulation can be easily embedded into the proposed simulation environment. Numerical results generated by the DES model clearly show that production and efficiency can be significantly enhanced when the packaging line is properly set up.","PeriodicalId":446873,"journal":{"name":"Proceedings of the Winter Simulation Conference 2014","volume":"53 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132243126","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}