Sistem Informasi Pustaka

Systems Modeling and Simulation: Theory and Applications

Third Asian Simulation Conference, AsiaSim 2004, Jeju Island, Korea, October 4-6, 2004, Revised Selected Papers

System Simulation, Modelling and Languages

Simulation-Based Optimization

Parametric Optimization Techniques and Reinforcement Learning

Advanced Methods, Techniques, and Applications in Modeling and Simulation

Asia Simulation Conference 2011, Seoul, Korea, November 2011, Proceedings

Artificial Intelligence and Simulation

13th International Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 2004, Jeju Island, Korea, October 4-6, 2004, Revised Selected Papers

An Object-oriented Programming Approach for a GIS Data-driven Simulation Model of Traffic on an Inland Waterway

Geographic Information Systems (GIS) have become a worldwide application that can integrate and relate any data with a spatial component in order to support the decision making criteria in many organi
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Modeling and Simulation of Discrete Event Systems

Process Simulation and Optimization in Sustainable Logistics and Manufacturing

Simulation

The Practice of Model Development and Use

Simulation modelling involves the development of models that imitate real–world operations, and statistical analysis of their performance with a view to improving efficiency and effectiveness. This no
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Conceptual Modeling for Discrete-Event Simulation

Modeling and Simulation Support for System of Systems Engineering Applications

1999 Winter Simulation Conference Proceedings

Pointe Hilton Squaw Peak Resort, Phoenix, AZ, U.S.A. ; 5 - 8 December 1999

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Systems Modeling and Simulation: Theory and Applications

Third Asian Simulation Conference, AsiaSim 2004, Jeju Island, Korea, October 4-6, 2004, Revised Selected Papers

This book constitutes the refereed post-proceedings of the third Asian Simulation Conference, AsiaSim 2004, held in Jeju Island, Korea in October 2004. The 78 revised full papers presented together with 2 invited keynote papers were carefully reviewed and selected from 178 submissions; after the conference, the papers went through another round of revision. The papers are organized in topical sections on modeling and simulation methodology, manufacturing, aerospace simulation, military simulation, medical simulation, general applications, network simulation and modeling, e-business simulation, numerical simulation, traffic simulation, transportation, virtual reality, engineering applications, and DEVS modeling and simulation.

Doo-Kwon Baik,
Call Number : 003.3 DOO s

Using Z as the test statistic, the critical values for two tailed-test are as follows. ...
Through analyzing the results of sample Z-test and normal probability plot, we
can conclude that ProModel properly generates random numbers under the
given ...

System Simulation, Modelling and Languages

Designed as a text for undergraduate students (B.Tech./B.E.) of Computer Science and Engineering and IT, Mechanical Engineering and Mechatronics Engineering, and postgraduate students (M.Tech./M.E., M.Sc.) of Computer Science and Engineering and IT and Industrial Engineering, as well as for Bachelor and Master of Computer Applications (BCA/MCA), this well-organized book gives an in-depth analysis of the concepts of system simulation modelling and simulation languages. The book provides detailed discussions on the fundamental and advanced concepts of simulation. The book begins with the concept of system and the different terminologies associated with the system. Then it presents the different methods of random number generation and their tests. Besides, the text dwells on different probability distributions and their random variates, which are used in the simulation model, and describes various simulation languages such as GPSS, Simula I, SIMSCRIPT, CSL, GASP, OPS-3, DYNAMO, SIMAN and SLAM II. Further, it gives a comprehensive coverage of different queueing systems with illustrative examples as well as the logics of simulation model for both single-server and parallel-server queueing systems. The concluding chapters deal extensively with GPSS language, Arena simulation software and ProModel simulation software. Key Features • Follows a step-by-step approach to derive the test results. • Gives a large number of solved examples and well-designed chapter-end questions. • Includes several real-life Case Studies to illustrate the concepts discussed.

R. PANNEERSELVAM, P. SENTHILKUMAR, P. SENTHILKUMAR,

Shen, Stewart and Morris, W. Douglas, 1983, Network simulation using the
simulation language for alternate modeling ... Tearwattanarattikal, Pochamarn,
Namphacharoen, Suwadee and Chamrasporn, Chonthicha, 2008, Using
ProModel as a ...

Simulation-Based Optimization

Parametric Optimization Techniques and Reinforcement Learning

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduces the evolving area of simulation-based optimization. The book's objective is two-fold: (1) It examines the mathematical governing principles of simulation-based optimization, thereby providing the reader with the ability to model relevant real-life problems using these techniques. (2) It outlines the computational technology underlying these methods. Taken together these two aspects demonstrate that the mathematical and computational methods discussed in this book do work. Broadly speaking, the book has two parts: (1) parametric (static) optimization and (2) control (dynamic) optimization. Some of the book's special features are: *An accessible introduction to reinforcement learning and parametric-optimization techniques. *A step-by-step description of several algorithms of simulation-based optimization. *A clear and simple introduction to the methodology of neural networks. *A gentle introduction to convergence analysis of some of the methods enumerated above. *Computer programs for many algorithms of simulation-based optimization.

Abhijit Gosavi,

C. Harrell, B.K. Ghosh, and R. Bowden. Simulation Using Promodel. McGraw Hill
Higher Education, Boston, MA, USA, 2000. T. Hastie, R. Tibshirani, and J.
Friedman. The Elements of Statistical Learning. Springer, New York, NY, USA,
2001.

Advanced Methods, Techniques, and Applications in Modeling and Simulation

Asia Simulation Conference 2011, Seoul, Korea, November 2011, Proceedings

This book is a compilation of research accomplishments in the fields of modeling, simulation, and their applications, as presented at AsiaSim 2011 (Asia Simulation Conference 2011). The conference, held in Seoul, Korea, November 16–18, was organized by ASIASIM (Federation of Asian Simulation Societies), KSS (Korea Society for Simulation), CASS (Chinese Association for System Simulation), and JSST (Japan Society for Simulation Technology). AsiaSim 2011 provided a forum for scientists, academicians, and professionals from the Asia-Pacific region and other parts of the world to share their latest exciting research findings in modeling and simulation methodologies, techniques, and their tools and applications in military, communication network, industry, and general engineering problems.

Jong-Hyun Kim, Kangsun Lee, Satoshi Tanaka, Soo-Hyun Park, Kangsun Lee, Satoshi Tanaka, Soo-Hyun Park,

Nasereddin, M., Mullens, M., Cope, D.: The Development of A Reusable
Simulation Model for the Modular Housing Industry Using ProModel and Visual
Basic. In: Proceedings of Industrial Engineering Research Conference (2002)
Page, S.J.: ...

Artificial Intelligence and Simulation

13th International Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 2004, Jeju Island, Korea, October 4-6, 2004, Revised Selected Papers

This book constitutes the refereed post-proceedings of the 13th International Conference on AI, Simulation, and Planning in High Autonomy Systems, AIS 2004, held in Jeju Island, Korea in October 2004. The 74 revised full papers presented together with 2 invited keynote papers were carefully reviewed and selected from 170 submissions; after the conference, the papers went through another round of revision. The papers are organized in topical sections on modeling and simulation methodologies, intelligent control, computer and network security, HLA and simulator interoperation, manufacturing, agent-based modeling, DEVS modeling and simulation, parallel and distributed modeling and simulation, mobile computer networks, Web-based simulation and natural systems, modeling and simulation environments, AI and simulation, component-based modeling, watermarking and semantics, graphics, visualization and animation, and business modeling.

Tag G. Kim,

Vivek Bapat and Eddie B. Pruitte, Jr., Using Simulation in Call Centers,
Proceedings of the 1998 Winter Simulation Conference, pp. 1395-1399 ... H.
Biman Charles, K. G. Biman, and B. Royce, “Simulation Using ProModel”,
McGraw-Hill, 2001.

An Object-oriented Programming Approach for a GIS Data-driven Simulation Model of Traffic on an Inland Waterway

Daniel Sasso,

Alvarez et al (2006) developed a simulation model to use the Panama Canal
expansion project as an attempt to explain ... as a decision support tool in an
inland waterway network with a dedicated fleet of barges and tugboats using
ProModel.

Modeling and Simulation of Discrete Event Systems

Byoung Kyu Choi, DongHun Kang, DongHun Kang,

Generating beta variates with non-integral shape parameters, Communications
of the ACM 21: 317—322. Choi, B.K. ... Analysis of a borderless fab using
interoperating AutoSched AP models. International ... Simulation Using ProModel
®.

Process Simulation and Optimization in Sustainable Logistics and Manufacturing

The aim of this book is to present qualitative aspects of logistics operations and supply chain management which help to implement the sustainable policy principles in the companies and public sector’s institutions. Authors in individual chapters address the issues related to reverse network configuration, forward and reverse supply chain integration, CO2 reduction in transportation, improvement of the production operations and management of the recovery activities. Some best practices from different countries and industries are presented. This book will be valuable to both academics and practitioners wishing to deepen their knowledge in the field of logistics operations and management with regard to sustainability issues.

Pawel Pawlewski, Allen Greenwood, Allen Greenwood,

Individual manufacturing operations are controlled with the use of KITS, i.e. kits of
finished parts prepared and distributed ... The research consisted in building
several versions of layout models for the analysed product (using ProModel 2002
...

Simulation

The Practice of Model Development and Use

Stewart Robinson,

The Practice of Model Development and Use Stewart Robinson. code in the
software of your choice. Set-up the data so that the mean arrival rate ... 14 (3), pp.
84–93. Harrell, C.R., Ghosh, B. and Bowden, R. (2011). Simulation using
ProModel ...

Conceptual Modeling for Discrete-Event Simulation

Bringing together an international group of researchers involved in military, business, and health modeling and simulation, Conceptual Modeling for Discrete-Event Simulation presents a comprehensive view of the current state of the art in the field. The book addresses a host of issues, including: What is a conceptual model? How is conceptual modeling performed in general and in specific modeling domains? What is the role of established approaches in conceptual modeling? Each of the book’s six parts focuses on a different aspect of conceptual modeling for simulation. The first section discusses the purpose and requirements of a conceptual model. The next set of chapters provides frameworks and tools for conceptual modeling. The book then describes the use of soft systems methodology for model structuring as well as the application of software engineering methods and tools for model specification. After illustrating how conceptual modeling is adopted in the military and semiconductor manufacturing, the book concludes with a discussion on future research directions. This volume offers a broad, multifaceted account of the field by presenting diverse perspectives on what conceptual modeling entails. It also provides a basis upon which these perspectives can be compared.

Stewart Robinson, Roger Brooks, Kathy Kotiadis, Durk-Jouke Van Der Zee, Roger Brooks, Kathy Kotiadis, Durk-Jouke Van Der Zee,

Improving police response using simulation. Journal of the operational research
society 59: 171–181. Harrell, C.R., B.K. Ghosh, and R.O. Bowden. 2004.
Simulation Using ProModel, 2nd edition. New York: McGraw-Hill Professional.
Howick ...

Modeling and Simulation Support for System of Systems Engineering Applications

Larry B. Rainey, Andreas Tolk, Andreas Tolk,

This capability has been implemented using two modules that simulate traffic at
different levels of detail. The Emergency ... The travel route is determined using
Dijkstra's algorithm. ... It was developed by NIST researchers using ProModel.

1999 Winter Simulation Conference Proceedings

Pointe Hilton Squaw Peak Resort, Phoenix, AZ, U.S.A. ; 5 - 8 December 1999

Phillip A. Farrington, Winter Simulation Conference (31, 1999, Phoenix, Ariz.), Winter Simulation Conference (31, 1999, Phoenix, Ariz.),

SIMULATION MODELING AND OPTIMIZATION USING PROMODEL Rochelle N.
Price Charles R. Harrell PROMODEL Corporation Brigham Young University
I875 South State Street Manufacturing Engineering Suite 3400 435 CT B Orem,
UT ...

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