{"title":"Applicability of hybrid simulation to different modes of governance in UK healthcare","authors":"Kirandeep Chahal, T. Eldabi","doi":"10.1109/WSC.2008.4736226","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736226","url":null,"abstract":"Healthcare organizations exhibit both detailed and dynamic complexity. Effective and sustainable decision-making in healthcare requires tools that can comprehend this complexity. Discrete event simulation (DES) due to its ability to capture detail complexity is widely used for operational decision making. However at the strategic level, System Dynamics (SD) with its focus on a holistic perspective and its ability to comprehend dynamic complexity has advantages over DES. Appreciating the complexity of healthcare, the authors have proposed the use of hybrid simulation in healthcare. As argued previously, effective decision making require tools which are capable of comprehending both detail and dynamic interactions of healthcare. The interactions in the organizations are governed by the governance design. In appreciation of that argument the authors have described the applicability of a hybrid approach to various modes of governance in UK healthcare.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125508733","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":"Restricted subset selection","authors":"E. Chen","doi":"10.1109/WSC.2008.4736079","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736079","url":null,"abstract":"This paper develops procedures for selecting a set of normal populations with unknown means and unknown variances in order that the final subset of selected populations satisfies the following requirements: with probability at least P*, the selected subset will contain a population or ¿only and all¿ of those populations whose mean lies less than the distance d* from the smallest mean. The size of the selected subset is random, however, at most m populations will finally be chosen. A restricted subset attempts to exclude populations that are deviated more than d* from the smallest mean. Here P*, d*, and m are users specified parameters. The procedure can be used when the unknown variances across populations are unequal. An experimental performance evaluation demonstrates the validity and efficiency of these restricted subset selection procedures.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124101478","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":"Design guidelines for simulation building blocks","authors":"A. Verbraeck, E. Valentin","doi":"10.1109/WSC.2008.4736158","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736158","url":null,"abstract":"Component based or building block based simulation model development is regularly mentioned as an interesting new development and a potential field of research. Most of the commercial simulation environments offer the users of their software functions to group model constructs and upgrade these to advanced model constructs that the users can use in future simulation studies. Unfortunately, the created model constructs are rarely reused and often stop being used after the first simulation study. In this paper we describe a list of guidelines to consider in the design of building blocks to enhance the reusability and the flexibility of the simulation building block to be used in multiple simulation studies, also by model developers who have not been involved in the design of the building blocks.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126720773","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}
Carlos D. Paternina-Arboleda, J. Montoya-Torres, A. Fabregas-Ariza
{"title":"Simulation-optimization using a reinforcement learning approach","authors":"Carlos D. Paternina-Arboleda, J. Montoya-Torres, A. Fabregas-Ariza","doi":"10.1109/WSC.2008.4736213","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736213","url":null,"abstract":"The global optimization of complex systems such as industrial systems often necessitates the use of computer simulation. In this paper, we suggest the use of reinforcement learning (RL) algorithms and artificial neural networks for the optimization of simulation models. Several types of variables are taken into account in order to find global optimum values. After a first evaluation through mathematical functions with known optima, the benefits of our approach are illustrated through the example of an inventory control problem frequently found in manufacturing systems. Single-item and multi-item inventory cases are considered. The efficiency of the proposed procedure is compared against a commercial tool.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126470997","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 and simulation of multinational intra-theatre logistics distribution","authors":"A. Ghanmi, Gregory B. Campbell, T. A. Gibbons","doi":"10.1109/WSC.2008.4736185","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736185","url":null,"abstract":"Multinational logistics cooperation is essential for reducing the collective logistics footprint, optimizing resource usage and enhancing interoperability in military operations. In this paper, a multinational intra-theatre distribution (MN ITD) concept for alliance or coalition operations is examined. MN ITD considers the creation of a MN logistics distribution centre that combines elements of the nations¿ stovepipes into a single system to improve multinational logistics distribution in a theatre of operation. A discrete event simulation framework has been developed to assess the MN ITD time responsiveness. The MN ITD performance is assessed and compared against the current Canadian Forces distribution system. The study indicates that a MN ITD system would potentially reduce response times for intra-theatre distribution.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114907016","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":"An interdependent infrastructure risk analysis framework using parallel and distributed simulation","authors":"Yan Gu, Yue Li","doi":"10.1109/WSC.2008.4736435","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736435","url":null,"abstract":"Summary form only given. A system-based risk simulation and analysis methodology is needed to evaluate the vulnerability of interdependent infrastructure systems in order to increase the system resilience, reduce the probability of system failure and consequences of such failure, and reduce time to system recovery. These interdependent infrastructure systems are usually highly interconnected, mutually dependent on multiple levels and may be subjected to a spectrum of natural hazards. Although research has been performed in the area of infrastructure interdependency modeling and analysis, not enough work has been done to address the issues of simulating the interdependent infrastructure systems efficiently at a large scale and quantitatively characterize the impact and risks of multiple natural hazards on these interdependent systems. In this paper a risk assessment framework is proposed to model interdependent infrastructure using parallel and distributed simulation and probabilistic hazard models to characterize the impact of the occurrence and intensity of various disasters.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133990488","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":"Linear inflation rules for the random yield production control problem with uncertain demand: Analysis and computations","authors":"W. T. Huh, M. Nagarajan","doi":"10.1109/WSC.2008.4736325","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736325","url":null,"abstract":"Since the dawn of wafer fabrication and the production of microelectronic parts a fundamental characteristic of this environment has been uncertainty in production yields and in demand for product. The impact of the uncertainty is so prevalent that even deterministic models in practice have incorporated some allowance for uncertainty through features such as date effective yields, moving average capacity, etc. In this paper, we propose a simple heuristic approach for the inventory control problem with stochastic demand and multiplicative random yield. Our heuristic tries to find the best candidate within a class of policies which are referred to in the literature as the linear inflation rule (LIR) policies. Our approach is computationally fast, easy to implement and intuitive to understand. Moreover, we find that in a significant number of instances our heuristic performs better than several other well-known heuristics that are available in the literature.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133560203","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}
Mark Aufenanger, W. Dangelmaier, C. Laroque, Nando Rüngener
{"title":"Knowledge-based event control for flow-shops using simulation and rules","authors":"Mark Aufenanger, W. Dangelmaier, C. Laroque, Nando Rüngener","doi":"10.1109/WSC.2008.4736288","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736288","url":null,"abstract":"The requirements on production systems and their planning and control systems are constantly growing. Systems have to be flexible and provide viable solutions at the same time. Different planning and control approaches, such as optimization, simulation and combination of techniques etc., that attempt to solve the scheduling problems are available. Mathematical solutions which can be found in literature didn¿t solve the real-world problems in an appropriate way. Current knowledge based solutions did not give any value about decision reliability as well as their decision attributes are not differentiate enough. We are developing a new rule based approach by using a combination of simulation and a knowledge generation within a dynamic production planning and -control for flow-shops. Ideas of how knowledge can be trained by simulation are presented. Furthermore which kind of rules and attributes can be used and how decisions about the rule selection can be made are shown.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133590267","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 simulations for manufacturing","authors":"C. Milligan, D. Meiser","doi":"10.1109/WSC.2008.4736421","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736421","url":null,"abstract":"The Kroger Co. is one of the largest retailers in the United States. Its manufacturing division produces 43% of corporate brand units sold in its stores. Kroger¿s 15 dairies operate at near-full capacity and produce all varieties of fluid milk, orange juice, cultured products such as yogurt and cottage cheese, novelty treats and non-carbonated beverages. Kroger and Visual8 Corp. have created a Flexible Dairy Cooler Simulator which is used in the analysis of production schedules, cooler layouts, picking methods, staffing levels, and shipping schedules at each dairy. The tool offers the flexibility to represent, through a drag-and-drop interface, the layout of any current or future Kroger Dairy. This presentation will demonstrate how this tool is being used to help Kroger streamline operations while improving customer service levels, and explore the tactical value of day-to-day use of a standardized simulation tool in the manufacturing environment.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116583020","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":"Bee Colony Optimization algorithm with Big Valley landscape exploitation for Job Shop Scheduling problems","authors":"L. Wong, Chi Yung Puan, M. Low, C. Chong","doi":"10.1109/WSC.2008.4736301","DOIUrl":"https://doi.org/10.1109/WSC.2008.4736301","url":null,"abstract":"Scheduling is a crucial activity in semiconductor manufacturing industry. Effective scheduling in its operations leads to improvement in the efficiency and utilization of its equipment. Job shop scheduling is an NP-hard problem which is closely related to some of the scheduling activities in this industry. This paper presents an improved bee colony optimization algorithm with big valley landscape exploitation as a biologically inspired approach to solve the job shop scheduling problem. Experimental results comparing our proposed algorithm with shifting bottleneck heuristic, tabu search algorithm and bee colony algorithm with neighborhood search on Taillard JSSP benchmark show that it is comparable to these approaches.","PeriodicalId":162289,"journal":{"name":"2008 Winter Simulation Conference","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116805768","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}