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检索条件"任意字段=Winter Simulation Conference on Simulation - Making Decisions in a Complex World"

共 418 条记录，以下是211-220 订阅

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MODELING AND simulation GRAND CHALLENGES: AN OR/MS PERSPECTIVE

MODELING AND SIMULATION GRAND CHALLENGES: AN OR/MS PERSPECTI...

引用

winter simulation conference on simulation - making decisions in a complex world

作者： Taylor, Simon J. E. Chick, Stephen E. Macal, Charles M. Brailsford, Sally L'Ecuyer, Pierre Nelson, Barry L. Brunel Univ Dept IS & Comp ICT Innovat Grp Uxbridge UB8 3PH Middx England Univ Southampton Southampton Management Sch Southampton SO9 5NH Hants England INSEAD Technol & Operat Management Area F-77300 Fontainebleau France Argonne Natl Lab Decis & Informat Sci Div Argonne IL 60439 USA Univ Montreal DIRO Montreal PQ H3C 3J7 Canada Northwestern Univ Dept Ind Engn & Management Sci Evanston IL 60208 USA

ISBN: (纸本)9781479939503;9781479920778

Grand challenges are significant themes that can bring together researchers to bring significant change to a field. In 2012 a new initiative to restart the debate on major grand challenges for modeling and simulation (M&S) began. Leading researchers have presented M&S Grand Challenges in areas such as ubiquitous simulation, high performance computing, spatial simulation, big simulation, human behaviour, multidomain design, systems engineering, cyber systems, network simulation and education. To contribute further to this initiative, this paper presents M&S Grand Challenges from an Operational Research/Management Science (OR/MS) perspective and discusses themes including simulation in healthcare, value of information, data modeling, stochastic modeling and optimization, agent-based simulation and simulation analytics.

关键词： Stochastic systems

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simulation SCREENING EXPERIMENTS USING LASSO-OPTIMAL SUPERSATURATED DESIGN AND ANALYSIS: A MARITIME OPERATIONS APPLICATION

SIMULATION SCREENING EXPERIMENTS USING LASSO-OPTIMAL SUPERSA...

引用

winter simulation conference on simulation - making decisions in a complex world

作者： Xing, Dadi Wan, Hong Zhu, Michael Yu Sanchez, Susan M. Kaymal, Turgut Purdue Univ Sch Ind Engn W Lafayette IN 47907 USA Purdue Univ Dept Stat W Lafayette IN 47907 USA Naval Postgrad Sch Operat Res Dept Monterey CA 93943 USA

ISBN: (纸本)9781479939503;9781479920778

Screening methods are beneficial for studies involving simulations that have a large number of variables where a relatively small (but unknown) subset is important. In this paper, we show how a newly proposed Lasso-optimal screening design and analysis method can be useful for efficiently conducting simulation screening experiments. Our approach uses new criteria for generating supersaturated designs, and a new algorithm for selecting the optimal tuning parameters for Lasso model selection. We generate a 24x69 Lasso optimal supersaturated design, illustrate its potential with a numerical evaluation, and apply it to an agent-based simulation of maritime escort operations in the Strait of Gibraltar. This application is part of a larger project that seeks to leverage simulation models during the ship design process, and so construct ships that are both cost effective and operationally effective. The supersaturated screening design has already proved beneficial for model verification and validation.

关键词： Algorithm design and analysis Analytical models Educational institutions Input variables Numerical models Tuning Vectors

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Epistemology of modeling and simulation

Epistemology of modeling and simulation

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2013 43rd winter simulation conference - simulation: making decisions in a complex world, WSC 2013

作者： Tolk, Andreas Ihrig, Martin Page, Ernest H. Szabo, Claudia Heath, Brian L. Padilla, Jose J. Dante Suarez, E. Weirich, Paul Yilmaz, Levent SimIS Inc. 200 High Street Portsmouth VA United States Wharton School University of Pennsylvania Philadelphia PA United States High Performance Simulation MITRE Corporation McLean VA United States Computer Science University of Adelaide Adelaide SA Australia Cardinal Health Corporate Operations Dublin OH United States VMASC Old Dominion University Suffolk VA United States Business Administration Trinity University San Antonio TX United States Philosophy University of Missouri Columbia MO United States Computer Science and SW Engineering Auburn University Auburn AL United States

ISBN: (纸本)9781479939503

While ontology deals with the question of being or existence, epistemology deals with the question of gaining knowledge. This panel addresses the challenge of how we gain knowledge from modeling and simulation. What is the underlying philosophy of science of M&S? What are our canons of research for M&S? Is it sufficient to apply the foundational methods of the application domains, or do we need to address these questions from the standpoint of M&S as a discipline? The invited experts illuminate various facets from philosophical, mathematical, computational, and application viewpoints. © 2013 IEEE.

关键词： Philosophical aspects

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A SIMHEURISTIC ALGORITHM FOR THE LOCATION ROUTING PROBLEM WITH FACILITY SIZING decisions AND STOCHASTIC DEMANDS

A SIMHEURISTIC ALGORITHM FOR THE LOCATION ROUTING PROBLEM WI...

引用

winter simulation conference

作者： Tordecilla, Rafael D. Panadero, Javier Juan, Angel A. Quintero-Araujo, Carlos L. Montoya-Torres, Jairo R. Univ Oberta Catalunya IN3 Comp Sci Dept Avda Carl Friedrich Gauss 5 Castelldefels 08860 Spain Univ La Sabana Fac Engn Int Sch Econ & Admin Sci Chia Colombia

ISBN: (纸本)9781728194998

Location routing is a well known problem in which decisions about facility location and vehicle routing must be made. Traditionally, a fixed size or capacity is assigned to an open facility as the input parameter to the problem. However, real-world cases show that decision-makers usually have a set of size options. If this size is selected accurately according to the demand of allocated customers, then location decisions and routing activities would raise smaller cost. Nevertheless, choosing this size implies additional variables that make an already NP-hard problem even more challenging. In addition, considering stochastic demands contributes to making the optimization problem more difficult to solve. Hence, a simheuristic algorithm is proposed in this work. It combines the efficiency of metaheuristics and the capabilities of simulation to deal with uncertainty. A series of computational experiments show that our approach can efficiently deal with medium-large instances.

关键词： Vehicle routing

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AGENT-BASED HARDWARE-IN-THE-LOOP simulation FOR UAV/UGV SURVEILLANCE AND CROWD CONTROL SYSTEM

AGENT-BASED HARDWARE-IN-THE-LOOP SIMULATION FOR UAV/UGV SURV...

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winter simulation conference on simulation - making decisions in a complex world

作者： Khaleghi, Amirreza M. Xu, Dong Lobos, Alfonso Minaeian, Sara Son, Young-Jun Liu, Jian Univ Arizona Dept Syst & Ind Engn Tucson AZ 85721 USA Univ Arizona Syst & Ind Engn Tucson AZ 85721 USA

ISBN: (纸本)9781479939503;9781479920778

An agent-based hardware-in-the-loop simulation framework is proposed to model the UAV/UGV surveillance and crowd control system. To this end, a planning and control system architecture is discussed first, which includes various modules such as sensory data collection, crowd detection, tracking, motion planning, control command generation, and control strategy evaluation. The modules that are highly related with agent-based modeling (focus of this paper) are then discussed, which includes the UAV/UGV motion planning considering multi-objectives, crowd motion modeling via social force model, and enhancement of simulation environment via GIS 3D coordinates conversion. In the experiment, Repast Simphony is used as the agent-based modeling tool, which transmits sensory data and control commands with QGroundControl as hardware interface that further conducts radio communications with ArduCopter as a real UAV. Preliminary results show that finer grid scale and larger vehicle detection range generate a better crowd coverage percentage. Finally, conclusions and future works are discussed.

关键词： Unmanned aerial vehicles (UAV)

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A robust simulation-based multicriteria optimization methodology

A robust simulation-based multicriteria optimization methodo...

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35th winter simulation conference

作者： Al-Aomar, R Jordan Univ Sci & Technol Fac Engn Dept Ind Engn Irbid 22110 Jordan

ISBN: (纸本)0780376145

This paper describes a methodology for solving Parameter Design (PD) problems in production and business systems of considerable complexity. The solution is aimed at determining optimum settings to system critical parameters so that each system response is at its optimum performance level with least amount of variability. When approaching such problem, analysts are often faced with four major challenges: representing the complex parameter design problem, utilizing an effective search method that is able to explore the problem's complex and large domain, making optimization decisions based on multiple and, often, conflicting objectives, and handling the stochastic variability of in system response as an integral part of the search method. to tackle such challenges, this paper proposes a solution methodology that integrates four state-of-the-art modules of proven methods: simulation Modeling (SM), Genetic Algorithm (GA), Entropy Method (EM), and Robustness Module (RM).

关键词： Systems analysis

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TUTORIAL: ILLUSION OF CAPACITY - CHALLENGE OF INCORPORATING THE complexITY OF FAB CAPACITY (TOOL DEPLOYMENT & OPERATING CURVE) INTO CENTRAL PLANNING FOR FIRMS WITH SUBSTANTIAL NON-FAB complexITY

TUTORIAL: ILLUSION OF CAPACITY - CHALLENGE OF INCORPORATING ...

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winter simulation conference (WSC)

作者： Fordyce, Kenneth Fournier, John Milne, R. John Singh, Harpal IBM Corp Essex Jct VT 05452 USA

ISBN: (纸本)9781467347792;9781467347808

Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain central planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes central planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where much of the complexity is non-FAB. Developing more intelligent solutions for capacity in central planning within computational and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities;options proposed and some implemented within "aggregate FAB planning," rarely within central planning. This tutorial reviews the current state of central planning with respect to capacity and cycle time, outlines the challenges these complexities place on central planning structures, and indicates possible solutions

关键词： complex networks

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LEAN, simulation AND OPTIMIZATION: A WIN-WIN COMBINATION

LEAN, SIMULATION AND OPTIMIZATION: A WIN-WIN COMBINATION

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winter simulation conference (WSC)

作者： Uriarte, Ainhoa Goienetxea Moris, Matias Urenda Ng, Amos H. C. Oscarsson, Jan Univ Skovde Sch Engn Sci POB 408 SE-54128 Skovde Sweden

ISBN: (纸本)9781467397438

Lean and simulation analysis are driven by the same objective, how to better design and improve processes making the companies more competitive. The adoption of lean has been widely spread in companies from public to private sectors and simulation is nowadays becoming more and more popular. Several authors have pointed out the benefits of combining simulation and lean, however, they are still rarely used together in practice. Optimization as an additional technique to this combination is even a more powerful approach especially when designing and improving complex processes with multiple conflicting objectives. This paper presents the mutual benefits that are gained when combining lean, simulation and optimization and how they overcome each other's limitations. A framework including the three concepts, some of the barriers for its implementation and a real-world industrial example are also described.

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THE EXPONENTIAL EXPANSION OF simulation IN RESEARCH

THE EXPONENTIAL EXPANSION OF SIMULATION IN RESEARCH

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winter simulation conference (WSC)

作者： Powers, Matthew J. Sanchez, Susan M. Lucas, Thomas W. USN Postgrad Sch Dept Operat Res Monterey CA 93943 USA

ISBN: (纸本)9781467347792;9781467347808

simulation has overcome critical obstacles to become a valuable method for obtaining insights about the behavior of complex systems. George Box's famous assessment that "all models are wrong, some are useful" referred to statistical models, but should now be reimagined to reflect that many simulation models are "right enough" to aid in decision making for important practical problems. Over the past fifty years, simulation has transformed from its beginnings as a brute-force numerical integration method into an attractive and sophisticated option for decision makers. This is due, in part, to the exponential growth of computing power. Although other analytic approaches also benefit from this trend, keyword searches of several scholarly search engines reveal that the reliance on simulation is increasing more rapidly. A descriptive analysis paints a compelling picture: simulation is frequently a researcher's preferred method for supporting decision makers and may often be the "first resort" for complex real world issues.

关键词： Search engines

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System implementation issues of dynamic discrete disaster decision simulation system (D⁴S²) -: Phase I

System implementation issues of dynamic discrete disaster de...

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2007 winter simulation conference

作者： Wu, Shengnan Shuman, Larry J. Bidanda, Bopaya Kelley, Matthew Lawson, Bryan Sochats, Ken Balaban, Carey D. Univ Pittsburgh Dept Ind Engn Pittsburgh PA 15261 USA Univ Pittsburgh Visual Informat Syst Ctr Pittsburgh PA 15260 USA Univ Pittsburgh Sch Med Pittsburgh PA 15213 USA

ISBN: (纸本)9781424413058

simulation has many advantages in modeling complex systems to facilitate decision making. In this research, an integrated computer system will be developed which incorporates an agent-based discrete event simulator, a geographic information system, a rule base, and interactive databases in addition to interfaces and other supporting components. The modules will seamlessly communicate with each other by exchanging a progression of data, and making a series of deductive decisions through embedded algorithms. This integrated system will be applied to disaster management planning and training and is designated Dynamic Discrete Disaster Decision simulation System ((DS2)-S-4). Here we address Phase I system implementation issues of (DS2)-S-4 which is under development.

关键词： Disasters

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