Simio and Simulation

Simio and Simulation Author W. David Kelton
ISBN-10 1492116424
Year 2013-11-18
Pages 416
Language en
Publisher CreateSpace
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Enjoy learning a key technology. Undergraduates and beginning graduates in both first and second simulation courses have responded positively to the approach taken in this text, which illustrates simulation principles using the popular Simio product. The full color interior graphics provides a superior learning experience. Content: This textbook explains how to use simulation to make better business decisions in application domains from healthcare to mining, heavy manufacturing to supply chains, and everything in between. It is written to help both technical and non-technical users better understand the concepts and usefulness of simulation. It can be used in a classroom environment or in support of independent study. Modern software makes simulation more useful and accessible than ever and this book illustrates simulation concepts with Simio, a leader in simulation software. Author Statement: This book can serve as the primary text in first and second courses in simulation at both the undergraduate and beginning-graduate levels. It is written in an accessible tutorial-style writing approach centered on specific examples rather than general concepts, and covers a variety of applications including an international flavor. Our experience has shown that these characteristics make the text easier to read and absorb, as well as appealing to students from many different cultural and applications backgrounds. A first simulation course would probably cover Chapter 1 through 8 thoroughly, and likely Chapters 9 and 10, particularly for upper class or graduate level students. For a second simulation course, it might work to skip or quickly review Chapters 1-3 and 6, thoroughly cover all other chapters up to Chapter 10, and use Chapter 11 as reinforcing assignments. The text or components of it could also support a simulation module of a few weeks within a larger survey course in programs without a stand-alone simulation course (e.g., MBA). For a simulation module that's part of a larger survey course, we recommend concentrating on Chapters 1, 4, and 5, and then perhaps lightly touch on Chapters 7 and 8. The extensibility introduced in Chapter 10 could provide some interesting project work for a graduate student with some programming background, as it could be easily linked to other research topics. Likewise Appendix A could be used as the lead-in to some advanced study or research in the latest techniques in simulation-based planning and scheduling. Supplemental course material is also available on-line. Third Edition Changes: The new third edition adds sections on Randomness in Simulation, Model Debugging, and Monte Carlo simulation. In addition, the coverage of animation, input analysis and output analysis has been significantly expanded. There is a new appendix on simulation-based scheduling, end-of-chapter problems have been improved and expanded, and we have incorporated many reader suggestions. We have reorganized the material for improved flow, and have updates throughout the book for many of the new Simio features recently added. A new format better supports our e-book users, and a new publisher supports significant cost reduction for our readers.

Simulation Modeling with Simio

Simulation Modeling with Simio Author Jeffrey Allen Joines
ISBN-10 151914220X
Year 2015-11-15
Pages 432
Language en
Publisher Createspace Independent Publishing Platform
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This workbook features a participatory style of learning. You don't sit and read the book without a computer loaded with SIMIO. We expect your active participation in using SIMIO as you turn the pages. We try to carry on a conversation with you. Our belief is that simulation is not a spectator sport. This edition of the workbook has an evolved structure based on use and experience. More emphasis is placed on "why" modeling choices are made, to supplement the "how" in using SIMIO in simulation. In Chapter 1, we present fundamental simulation concepts, independent of SIMIO which can be skipped for those who already understand these fundamentals. In Chapters 2 through 6, concentrates of the use of the Standard Library Objects in SIMIO. You can do a lot of simulation modeling without resorting to more complex concepts. A key part of those chapters is learning to identify/separate the data in a model from the model structure. Chapter 7 introduces the fundamental topic of "processes," which we frequently employ in the following chapters. Chapters 8 and 9 concentrate on the important topics of flow and capacity. Chapter 10 introduces optimization in the context of supply chain modeling. Chapter 11 presents the influence of bias and variability on terminating and steady-state simulation. Chapter 12 introduces SIMIO materials handling features. Chapter 13 extends the use of resources while Chapters 14 and 15 describes the use of workers including the detailed services provided by task sequences and their animation. Chapter 16 details the simulation of call centers with reneging, balking, and cost optimization. Chapters 17 through 20 presents object-oriented simulation capabilities in SIMIO. Chapter 17 builds a model out of an existing model (we call it sub-modeling). Chapter 18 describes the anatomy of an existing SIMIO and in Chapter 19 we build a new object by "sub-classing" an existing object. In Chapter 20 a new object is designed and built from a base SIMIO object and its creation is contrasted with standard SIMIO object. Chapter 21 presents some of the continuous modeling features in SIMIO. Chapters 22 and 23 demonstrates the power of object-oriented simulation in the modeling supply chains and process planning respectively. We include an appendix on input modeling, although SIMIO does not provide software. The book is designed to be read from chapter to chapter, although it is possible to pick out certain concepts and topics. Some redundancy is helpful in learning. By the time you have finished this book you should be well-prepared to build models in SIMIO and to understand the virtues of different modeling approaches. Like SIMIO itself, this workbook has been designed for a variety of student, teacher, and practitioner audiences. For example, if you are interested in manufacturing, you will want to be sure to study data-based modeling in Chapter 5, assemply and packaging in Chapter 6, the workstation in Chapter 9, and material handling in Chapter 12. If you are interested in logistics, don't miss modeling of distances in Chapter 3, flow and capacity in Chapter 8, inventories and supply chains in Chapter 10, and free space travel in Chapter12. If you are interested in healthcare, be sure to review scheduled arrivals in Chapter 8, resource decision making in Chapter 13, mobile workers in Chapter 14, and animated people and task sequences in Chapter 15. If object-oreinted simulation is your interest, make sure to study Chapters 17 through 20, which describes how SIMIO provides composition and inheritance to create objects. Manufacting examples and examples from the service sector are used throughout. Also we pay some attention to input modeling (including input sensitivity) and output analysis (including confidence intervals and optimization). This workbook provides comprehensive and in-depth discussion of simulation modeling with SIMIO.

Simulation Modeling with Simio

Simulation Modeling with Simio Author Jeffrey Joines
ISBN-10 1519333935
Year 2015-11-15
Pages 432
Language en
Publisher Createspace Independent Publishing Platform
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This workbook features a participatory style of learning. You don't sit and read the book without a computer loaded with SIMIO. We expect your active participation in using SIMIO as you turn the pages. We try to carry on a conversation with you. Our belief is that simulation is not a spectator sport. This edition of the workbook has an evolved structure based on use and experience. More emphasis is placed on "why" modeling choices are made, to supplement the "how" in using SIMIO in simulation. In Chapter 1, we present fundamental simulation concepts, independent of SIMIO which can be skipped for those who already understand these fundamentals. In Chapters 2 through 6, concentrates of the use of the Standard Library Objects in SIMIO. You can do a lot of simulation modeling without resorting to more complex concepts. A key part of those chapters is learning to identify/separate the data in a model from the model structure. Chapter 7 introduces the fundamental topic of "processes," which we frequently employ in the following chapters. Chapters 8 and 9 concentrate on the important topics of flow and capacity. Chapter 10 introduces optimization in the context of supply chain modeling. Chapter 11 presents the influence of bias and variability on terminating and steady-state simulation. Chapter 12 introduces SIMIO materials handling features. Chapter 13 extends the use of resources while Chapters 14 and 15 describes the use of workers including the detailed services provided by task sequences and their animation. Chapter 16 details the simulation of call centers with reneging, balking, and cost optimization. Chapters 17 through 20 presents object-oriented simulation capabilities in SIMIO. Chapter 17 builds a model out of an existing model (we call it sub-modeling). Chapter 18 describes the anatomy of an existing SIMIO and in Chapter 19 we build a new object by "sub-classing" an existing object. In Chapter 20 a new object is designed and built from a base SIMIO object and its creation is contrasted with standard SIMIO object. Chapter 21 presents some of the continuous modeling features in SIMIO. Chapters 22 and 23 demonstrates the power of object-oriented simulation in the modeling supply chains and process planning respectively. We include an appendix on input modeling, although SIMIO does not provide software. The book is designed to be read from chapter to chapter, although it is possible to pick out certain concepts and topics. Some redundancy is helpful in learning. By the time you have finished this book you should be well-prepared to build models in SIMIO and to understand the virtues of different modeling approaches. Like SIMIO itself, this workbook has been designed for a variety of student, teacher, and practitioner audiences. For example, if you are interested in manufacturing, you will want to be sure to study data-based modeling in Chapter 5, assemply and packaging in Chapter 6, the workstation in Chapter 9, and material handling in Chapter 12. If you are interested in logistics, don't miss modeling of distances in Chapter 3, flow and capacity in Chapter 8, inventories and supply chains in Chapter 10, and free space travel in Chapter12. If you are interested in healthcare, be sure to review scheduled arrivals in Chapter 8, resource decision making in Chapter 13, mobile workers in Chapter 14, and animated people and task sequences in Chapter 15. If object-oreinted simulation is your interest, make sure to study Chapters 17 through 20, which describes how SIMIO provides composition and inheritance to create objects. Manufacting examples and examples from the service sector are used throughout. Also we pay some attention to input modeling (including input sensitivity) and output analysis (including confidence intervals and optimization). This workbook provides comprehensive and in-depth discussion of simulation modeling with SIMIO.

Simulation Modeling and Analysis

Simulation Modeling and Analysis Author Averill Law
ISBN-10 9780077595968
Year 2014-01-24
Pages 804
Language en
Publisher McGraw-Hill Higher Education
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Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print.

Practical Management Science

Practical Management Science Author Wayne L. Winston
ISBN-10 9781305734845
Year 2015-01-01
Pages 888
Language en
Publisher Cengage Learning
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Geared entirely to Excel 2013, PRACTICAL MANAGEMENT SCIENCE, 5e helps students understand and take full advantage of the power of spreadsheet modeling. It integrates modeling into all functional areas of business--finance, marketing, operations management--using real examples and real data. Emphasizing applied, relevant learning, the text presents just the right amount of theory to ensure students understand the foundation of the topic, followed by exercises that give them practical, hands-on experience with the methodologies. It focuses on modeling over algebraic formulations and memorization of particular models. The Fifth Edition includes the latest changes in the accompanying @RISK and PrecisionTree add-ins, incorporates BigPicture diagrams of spreadsheet models into the optimization chapters, and provides new and updated cases throughout. The online Chapter 16: Multiobjective Decision Making is now more conceptual, while Chapter 9: Decision Making Under Uncertainty extends a single new product decisions example throughout the chapter. In addition almost 30 new tutorial videos explain concepts and work through examples. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

SADT

SADT Author David Marca
ISBN-10 UOM:39015013827087
Year 1988
Pages 392
Language en
Publisher McGraw-Hill Companies
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Automation Production Systems and Computer Integrated Manufacturing

Automation  Production Systems  and Computer Integrated Manufacturing Author Mikell P. Groover
ISBN-10 9780133499711
Year 2015-01-08
Pages 816
Language en
Publisher Pearson
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Automation, Production Systems, and Computer-Integrated Manufacturing is appropriate for advanced undergraduate/ graduate-level courses in Automation, Production Systems, and Computer-Integrated Manufacturing. The book should also be useful for practicing engineers and managers who wish to learn about automation and production systems technologies in modern manufacturing. This exploration of the technical and engineering aspects of automated production systems provides the most advanced, comprehensive, and balanced coverage of the subject of any text on the market. It covers all the major cutting-edge technologies of production automation and material handling, and how these technologies are used to construct modern manufacturing systems. Teaching and Learning Experience This book will provide a better teaching and learning experience—for you and your students. It will help: Provide Balanced Coverage of Automated Production Systems: A quantitative approach provides numerous equations and example problems for instructors who want to include analytical and quantitative material in their courses. Support Learning: End-of-chapter problems, review questions, and problem exercises give students plenty of opportunities to put theory into action. Keep Your Course Current: This edition provides up-to-date coverage of production systems, how they are sometimes automated and computerized, and how they can be mathematically analyzed to obtain performance metrics.

Statistical Methods for Quality Assurance

Statistical Methods for Quality Assurance Author Stephen B. Vardeman
ISBN-10 9780387791067
Year 2016-08-26
Pages 437
Language en
Publisher Springer
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This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings

Modeling random processes for engineers and managers

Modeling random processes for engineers and managers Author James J. Solberg
ISBN-10 UCSC:32106019878245
Year 2008-12-22
Pages 304
Language en
Publisher Wiley
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By reducing mathematical detail and focusing on real-world applications, this book provides engineers with an easy-to-understand overview of stochastic modeling. An entire chapter is included on how to set up the problem, and then another complete chapter presents examples of applications before doing any math. A previously unpublished computational method for solving equations related to Markov processes is added. The book shows how to add costs or revenues to the basic probability structures without much additional effort. In addition, numerous examples are included that show how the theory can be used. Engineers will also find explanations on how to formulate word problems into the models that the math worked on.

Healthcare Systems Engineering

Healthcare Systems Engineering Author Paul M. Griffin
ISBN-10 9781118971109
Year 2016-02-25
Pages 432
Language en
Publisher John Wiley & Sons
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Apply engineering and design principles to revitalize the healthcare delivery system Healthcare Systems Engineering is the first engineering book to cover this emerging field, offering comprehensive coverage of the healthcare system, healthcare delivery, and healthcare systems modeling. Written by leading industrial engineering authorities and a medical doctor specializing in healthcare delivery systems, this book provides a well-rounded resource for readers of a variety of backgrounds. Examples, case studies, and thoughtful learning activities are used to thoroughly explain the concepts presented, including healthcare systems, delivery, quantification, and design. You'll learn how to approach the healthcare industry as a complex system, and apply relevant design and engineering principles and processes to advance improvements. Written with an eye toward practicality, this book is designed to maximize your understanding and help you quickly apply toward solutions for a variety of healthcare challenges. Healthcare systems engineering is a new and complex interdisciplinary field that has emerged to address the myriad challenges facing the healthcare industry in the wake of reform. This book functions as both an introduction and a reference, giving you the knowledge you need to move toward better healthcare delivery. Understand the healthcare delivery context Use appropriate statistical and quantitative models Improve existing systems and design new ones Apply systems engineering to a variety of healthcare contexts Healthcare systems engineering overlaps with industrial engineering, operations research, and management science, uniting the principles and practices of these fields together in pursuit of optimal healthcare operations. Although collaboration is focused on practitioners, professionals in information technology, policy and administration, public health, and law all play crucial roles in revamping health care systems. Healthcare Systems Engineering is a complete and authoritative reference for stakeholders in any field.

Simulation Modeling and Analysis

Simulation Modeling and Analysis Author Averill M. Law
ISBN-10 0071255192
Year 2007
Pages 768
Language en
Publisher
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Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the "bible" of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: *A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. *A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. *An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).

Facility Layout and Location

Facility Layout and Location Author R. L. Francis
ISBN-10 STANFORD:36105030664564
Year 1992
Pages 589
Language en
Publisher Pearson College Division
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Providing a comprehensive inroduction to quantitative methods for facility layout and location, this text is directed at senior and graduate level students in industrial engineering, manufacturing systems, management science, and operations research curricula. Problems of facility layout and location are treated together because of the similarity between arranging the space in a single facility and arranging a systems of facilities. An introduction to the field'sissues and literature is included, along with the basic tools and methodologies. The second edition revises over half of the text to provide material reflecting the most current developments. Chapters contain explanations of what layout and location problems are, how to collect data, and show how to model and solve such problems.

Facilities Planning

Facilities Planning Author James A. Tompkins
ISBN-10 9780470444047
Year 2010-01-19
Pages 864
Language en
Publisher John Wiley & Sons
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When it comes to facilities planning, engineers turn to this book to explore the most current practices. The new edition continues to guide them through each step in the planning process. The updated material includes more discussions on economics, the supply chain, and ports of entry. It takes a more global perspective while incorporating new case studies to show how the information is applied in the field. Many of the chapters have been streamlined as well to focus on the most relevant topics. All of this will help engineers approach facilities planning with creativity and precision.

Simulation

Simulation Author Stewart Robinson
ISBN-10 9781137328038
Year 2014-09-22
Pages 392
Language en
Publisher Palgrave Macmillan
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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 non–technical textbook is focused towards the needs of business, engineering and computer science students.