Book Description
Valuable software, realistic examples, and fascinating topics . . . everything you need to master the most widely used management science techniques using Microsoft® Excel™ is right here! Learning to make decisions in today's business world takes training and experience. Cliff Ragsdale--the respected innovator in the field of management science--is an outstanding guide to help you learn the skills you need, use Microsoft Excel for Windows to implement those skills, and gain the confidence to apply what you learn to real business situations. SPREADSHEET MODELING AND DECISION ANALYSIS gives you step-by-step instructions and annotated screen shots to make examples easy to follow. Plus, interesting sections called The World of Management Science show you how each topic has been applied in a real company.
Customer Reviews:
A Good Book for Finance/IT majors.......2007-09-17
This book does what it sets out to do: teach spreadsheet modeling. I'm only on the third chapter, but the author does a good job including step by step instructions on how to create winning models. The author is also very easy to understand. So if you're going to be doing optimization and modeling in your work, I highly recommend this book.
Great book, and includes @RISK.......2007-08-06
Ragsdale really makes spreadsheet modeling accessible to real-world business situations. It was a great asset to my MBA coursework. As a student, it came with a free student version of @RISK risk analysis software as well.
Good practical text.......2006-11-12
A good book for those studying decision making techniques or as a reference for managers looking to upgrade their skills
Decision analysis.......2006-11-02
Excellent book; I am considering it as a textbook for a Managerial Sciences course. The examples are clear and real increasing the interest of the students.
Good book , worth to read.......2006-02-17
This book is designated as the textbook for our master's level management modeling class. The author concerntrated on the application of Microsoft Solver to solve various of optimazation problems that we freqently faced in the real business opreations. Overall, this is good book for entry-level management modeling study.
Book Description
The second edition of Management Science: The Art of Modeling with Spreadsheets by Steve Powell and Ken Baker will expand upon the essential skills needed to develop real expertise in business modeling. By adding more coverage of management science topics, broader coverage of Excel, focused chapters, and new exercises and cases, this edition will be easier to use in a wide variety of undergraduate and MBA courses.
Customer Reviews:
Can't Deliver.......2007-10-18
In short, I never received the book. Do not do business with this organization.
Average customer rating:
- Obsolete software
- The Art of Modeling with Spreadsheets: Management Science, Spreadsheet Engineering, and Modeling Craft
- nice use of a spreadsheet
|
The Art of Modeling with Spreadsheets: Management Science, Spreadsheet Engineering, and Modeling Craft
Stephen G. Powell , and
Kenneth R. Baker
Manufacturer: Wiley
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Management Decision Making: Spreadsheet Modeling, Analysis, and Applications (with CD-ROM)
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Practical Management Science (with CD-ROM, Decision Tools and Stat Tools Suite, and Microsoft Project 2003 120 Day Version)
ASIN: 0471209376 |
Book Description
Successful business modeling is much more than a technical discipline; it's an art. And as in most professional disciplines, you can tell the experts apart from the novices by the creativity they bring to the craft. That's why Steve Powell and Ken Baker's THE ART OF MODELING WITH SPREADSHEETS covers spreadsheet engineering, management science techniques, and those essential craft skills needed to develop real expertise in business modeling. Features: * Balanced and streamlined coverage of spreadsheet engineering, management science techniques, and modeling craft. * The CD-ROM packaged with this text features all of the spreadsheets referred to in the text, as well as three software tools of special importance to business analysts: Premium Solver, Crystal Ball, and Sensitivity Toolkit (featuring four sensitivity tools)
Customer Reviews:
Obsolete software.......2007-04-26
A once useful entree to the spreadsheet modeling literature, this book is now obsolete. The version listed here is copyrighted 2004 but comes with a CD containing release 2000.2 of Crystal Ball which Decisioneering is no longer event supporting. This old version of the software as well as the Advanced Solver add-in has compatibility problems with Windows XP -not to mention Vista, and Wiley does not stand behind the product. Once I loaded the advanced solver, the solver feature no longer produced optimal solutions.
Extremely disappointing to buy a $90 textbook with obsolete software that causes Excel to malfunction and cannot be updated. Impossible to consider this as a class text book. If the publishers will not keep the product current it should be withdrawn from the market, and reputable vendors should at least WARN buyers, if they choose to continue to market and sell this once useful product.
The Art of Modeling with Spreadsheets: Management Science, Spreadsheet Engineering, and Modeling Craft.......2007-03-11
I am very impressed with this book.Overall the book is truly comprehensive and explains the topics using easy examples. These examples can be further explored using EXCEL. I think it will be helpful for the people first learning the lecture of decision analysis.
nice use of a spreadsheet.......2005-04-11
Powell takes the interesting approach of showing how to model a solution to a problem, and using a spreadsheet as the engine within which to embed the solution. Who would have thought in the 70s, when the first computer spreadsheets arose, that one day they could be applied to this?
Much of the book revolves around the issues of modelling. How to extract this from a problem. Here, this is as in many other texts. But we then see how a spreadsheet can be built up, with the equations that relate a group of input cells to write a value in an output cell, being those that model the solution.
To a computer programmer, this use of a spreadsheet might seem a little confining. After all, shouldn't you write code in some general purpose language like C++ or Java, to do this? But the number of programmers who can do this well is fairly small. Whereas spreadsheets have a far broader audience, even in terms of who is able to program them. That is the audience Powell writes for.
Book Description
A Straightforward, No-Nonsense Guide to Building the Most Accurate, Complete, and Useful Data Models Possible. How do I know if my data model is accurate? When is a model really complete? Is it possible for a model to be both technically perfect and of no use to an organization, and what can I do to avoid that problem? This book provides answers to these and other crucial data modeling questions. While there are plenty of books that describe the characteristics of finished high-quality data models, only The Data Modeling Handbook gets down to the nitty-gritty of actually building one. Packed with real-world examples, annotated diagrams, and a wealth of rules and best practices, this field-tested guide provides experienced data modelers, architects, and engineers with hands-on guidance from two noted data management experts.
- The only book offering clear, straightforward rules and guidelines for judging model accuracy and completeness
- Presents all rules in several notations, including IDEF1X, Martin, Chen, and Finkelstein
- Compares and contrasts the most popular modeling styles and demonstrates how great models can be built using any type of notation
- Explains how to use an organization's plans, policies, objectives, and strategies to build accurate, complete, and useful models
- Offers detailed guidance to establishing a continuous quality evaluation program that's easy to implement and follow
- Packed with real-world examples and annotated diagrams illustrating each point covered
- Describes how to use Case tools most effectively to build high-quality models
Customer Reviews:
Poor choice for experienced modelers - just ok for beginners.......2004-05-14
This book oversimplifies the examples and expects a leap of faith to truly understand the information engineering technique of data modeling.
May be good in the class room; but in actual practice there are much better references available such as Silverston, Inmon, Kimball, and of course the Zachman framework.
Very academic in nature, more theory than reality.......2004-02-05
Anyone that has been modeling very long will see this book for what it is ... after you look at it once, you'll put it on your bookshelf and leave it there. Save yourself the money ... There are much better reference books available. Try David Hay's book on patterns, or Len Silverston, or Graeme Simsion. Check out the DAMA reference guide .. at least it's built by actual practitioners.
The help screens on the Data modeling tools are more advanced in explaining data modeling than this book.
Probably great for theorists - managers or teachers that don't know what they are doing! But the real modelers will seek help elsewhere.
Misleading or, if you want, wrong.......2003-09-26
The authors deny the fifth normal form and state special-case rules as if they were universal. Examples: Eliminate triads; Two entities cannot have more than one relationship. Although in some specific situations the advice might be valid, anyone who is trying to learn from the reading will be misled. Less harmful, even interesting, for a professor (to learn how not to approach the teaching of DB modeling).
Poor, underdocumented examples. Oversimplification. Unfortunately at the time I had only the title to choose from. Good thing most books now have a table of contents.
Database modeling still doesn't have strong references as database theory does (Date's, Ramakrishnan's, Elmasri's only to cite three). There are excellent theoretical (Thalheim's "Entity-Relationship Modeling" is good) and philosophical approaches (finally they re-published Kent's opera-prima "Data and Reality", fabulous).
The picture is poor when it comes to hands-on modeling. Bruce's "Designing Quality Databases..." is an exception. Good and useful for someone who is developing modeling expertise. But I especially don't recommend Reingruber&Gregory's book.
Very good one to start a good model.......2003-08-28
It is a very good book for a Data base designer and a data modeler. I strongly recommand this book to all database people.
I'd rather visit the dentist.......2003-03-25
This book is about as much fun to read as a book about differential equations. Good concepts, but the context is very dry and puts me to sleep. I've been in the industry for several years, and I bought this book as a reference. But I find myself cringing every time I need to use it.
Book Description
This fourth edition of Simulation with Arena has the same goal as the first three editions: to provide a comprehensive treatment of simulation concepts in general and the Arena simulation software in particular. It starts by having the reader develop simple, well-animated, high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the joint nature of these activities in good simulation studies. The objective is to help the reader carry out effective simulation modeling, analysis, and projects using the Arena simulation system. An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. Included is a CD containing the current version of the Arena academic software and the examples referenced throughout the text.
Starting with an introduction to simulation concepts, the book progresses through an overview of the Arena software, basic model development, input analysis, additional modeling constructs, output analysis, and advanced modeling. It also includes chapters on integrating Arena simulation models with other applications, specialized statistical issues, continuous simulation, and conducting a successful simulation study. It is intended primarily to be a text in a first course on simulation or for self-study. However, the later chapters could be incorporated into an advanced or graduate-level course.
Building on the success of the first three editions, published in 1998, 2002, and 2004, this edition retains the basic outline and tutorial style, built around a sequence of successively more complicated examples. All the examples and discussion, however, have been modified and updated to be consistent with the current version of the Arena software, and additional examples have been developed, along with more exercises. As before, a password-protected website for instructors provides support in terms of downloadable lecture slides and solutions to end-of-chapter exercises.
The book draws heavily on the experience and expertise of the authors, a professor at the University of Cincinnati specializing in simulation, and two seasoned members of Rockwell Software (formerly Systems Modeling), the developers of Arena, who are active in product design and development, training, consulting, and applications.
Customer Reviews:
A bit too messy.......2007-02-12
This book has been co-authored by a university professor and two Rockwell people. It neither serves its purpose as a "theory" book nor an "applied" book.
It leads you through the process of creating a simulation by using examples.
I would have preferred this to be more of a reference book answering questions such as "If I want to do this what modules should I use?". Instead, when faced with a minor question (e.g. how to count exiting entities with different attributes?) I end up reading half the book and still not find a suitable answer.
The occasionnal jokes are quite funny though!
Customer Reviews:
Entity Relationship Modelling considered Harmful.......2004-05-04
Prospective buyers should be aware ERM is a mistake. It is a vastly oversimplification of actually modelling, being incapable of representing many fundamental features of any relational model and even being misleading.
ER diagrams OTOH are nice for drafting and presentation purposes. Just don't confuse them with a real model.
Case * Methods: Task and Deliverables.......2002-10-25
I work in the Information Technology Section for the Department of Natural Resources. This review is for the book Case* Method: Tasks and Deliverables by Richard Barker ISBN 0-201-41697-2.
I have been using Richards book on Case Methodology for years as a guideline for project management and planning. There has been many methodologies introduce to the department through out the years, but we keep coming back to the concepts and tactics outlined in this book to help keep things organized and on track. I have found his concepts have proven themselves through time as a good template to follow. I am looking forward to reviewing your books Case*Method: Entity Relationship Modelling as well as Storage Area Networking Essentials.
Keep up the good work that has a timeless application and relevance.
Big Concepts - Plain English.......2002-04-11
I have to concur with the other five star reviews on Barker's book. I spent hours in a Borders evaluating which book to buy to learn Entity-Relationships. This was the book I picked and I never regretted it. All other data modeling books make far more sense after reading Barker's first two chapters.
Still packs the most punch in as few words as necessary.......2002-02-08
This was also my first book in Data Modelling and though its been almost 10 years ago since I picked up my copy, I still have not seen many better on the shelves since in its category: intro to data modeling via ER diagraming (IE notation)
Though I no longer need to refer to this book any longer, it was certainly the first and best of the first books read in the subject and it speedily had me on my way to more advanced topics and eventually becoming an expert ER modeller.
I was so impressed by the book I eventually joined Oracle.. alas Barker had moved on but his case*method books haven't lost a step in so long a time..
The ONLY database design book you need (w/one exception).......2001-08-17
I don't know why there are not more reviews on this book. I read this book when I first started my 12-year career in the database industry. And to tell you the truth, there is only one other book I have ever needed (regarding database design) -- "The Data Warehouse Toolkit" (Kimball) -- only because Data Warehouse design is much different than the design theories in this book.
This book teaches you ways to design any database, and model any business -- what questions to ask users, what an entity really is, how you define it, how to tell a difference between an entity and an attribute, how to model relationships between entities, how to model "types" in a database. If you an learn the principles in this book, you will quickly become an expert in database design.
Buy this book -- you will not need another. And if you are building a data warehouse, buy this book first, so you understand the difference between OLTP design and data warehouse design.
Average customer rating:
- The best book for whom considers simulation rigorously!
- A simulation ideas framework
- the only book available for discrete events in OO, and HLA
- Simulation and Excel
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Theory of Modeling and Simulation
Bernard P. Zeigler ,
Tag Gon Kim , and
Herbert Praehofer
Manufacturer: Academic Press
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ASIN: 0127784551 |
Book Description
The increased computational power and software tools available to engineers have increased the use and dependence on modeling and computer simulation throughout the design process. These tools have given engineers the capability of designing highly complex systems and computer architectures that were previously unthinkable. Every complex design project, from integrated circuits, to aerospace vehicles, to industrial manufacturing processes requires these new methods. This book fulfills the essential need of system and control engineers at all levels in understanding modeling and simulation. This book, written as a true text/reference has become a standard sr./graduate level course in all EE departments worldwide and all professionals in this area are required to update their skills.
The book provides a rigorous mathematical foundation for modeling and computer simulation. It provides a comprehensive framework for modeling and simulation integrating the various simulation approaches. It covers model formulation, simulation model execution, and the model building process with its key activities model abstraction and model simplification, as well as the organization of model libraries. Emphasis of the book is in particular in integrating discrete event and continuous modeling approaches as well as a new approach for discrete event simulation of continuous processes. The book also discusses simulation execution on parallel and distributed machines and concepts for simulation model realization based on the High Level Architecture (HLA) standard of the Department of Defense.
* Presents a working foundation necessary for compliance with High Level Architecture (HLA) standards
* Provides a comprehensive framework for continuous and discrete event modeling and simulation
* Explores the mathematical foundation of simulation modeling
* Discusses system morphisms for model abstraction and simplification
* Presents a new approach to discrete event simulation of continuous processes
* Includes parallel and distributed simulation of discrete event models
* Presentation of a concept to achieve simulator interoperability in the form of the DEVS-Bus
Customer Reviews:
The best book for whom considers simulation rigorously!.......2001-07-15
This book looks somewhat difficult but I think that it is the best book for whom researchs modelling and simulation methodology. Based on mathematics, most contents of it were explained rigorously. From the origin of its 1976 version, now in the 2'nd book, DEVS(discrete event system specification) formalism has been extended to cover the continuous state system as well. In addition to, the various extended versions of DEVS, such as Parallel DEVS, Real-time DEVS, Fuzzy DEVS, has been aloso dealt in it.
If you are familiar with the set-theory and the system theory (dealing with inputs and outputs) and looking for the simulation methodology from any IO system view, the book must be the best book to you.
A simulation ideas framework.......2001-05-06
This book have a bad title, must be "Theory of Modeling and Simulation with DEVS".
There are not a real Integration about Discrete Event and Continuous Complex Dynamic Systems. Only a Discret Event Systems Specification (DEVS), nothing more that DEVS. The book is anything but no visual simulation, no numerics management, no probabilities, no DAE-equations, no research operations, no object simulation, no ...
The DEVS concept born with the promise of join different formalism in the 70's (join discreet and continuous simulation), but yet the concept actually in the book is very primitive and not consider real numerical methods in only one layer (remember that many real commercial simulation software is not based in DEVS concepts. Why?, -Maybe, the DEVS concept have a rigorous and innecesary strictness in the framework concepts in modeling and simulation.)
For other hand, this book have bad thigs and good things.
Bad things:
- The algorithms presented are only fragments of pseudocode like C++ (or Java?). Where is all framework code?.
- The concepts are not in a today systemic/cibernetic vision. This is bad, because the definitions and concepts are yet of 70's. (the book is a second edition, where is the change?).
- Actually the DEVS is considered the corner stone of basic theory of discreet simulations according to autor and others, but in a book there are not real simulations for probe the theory.
- Where is THE continuous complex dynamic systems?.
- Lack of code production of real numerical and computacional methods.
The good things:
- If you don't know what is a DEVS this book is your resp.
- Is a source of excellent ideas, in special the study of Quantization and the Systems Design and Environments of M&S (IV Cap.).
Finally, the best of book is not the DEVS concepts (the book is 80% about DEVS), is the math-way how the Autor try define a basic Simulation Framework independent of the model.
Because the above, is a must have in a simulations books.
the only book available for discrete events in OO, and HLA.......2001-01-05
The first edition of this book appeared in 1976 and had only one main author, Bernard P. Zeigler, who authored other appreciated classic text books. The first edition was already a must read for the simulation community, which has been asking for an updating. The new edition is not just a re-edition with small corrections. The advances in simulation and modelling techniques helped to design a really new edition, necessary to meet the need for a theoretical foundation. Bernie Zeigler developed a unifying formalism DEVS (Discrete Event System Specification). With DEVS it is not only possible to specify discrete event systems; it is also particularly suited to integrate both continuous and discrete paradigms for modelling and simulation (discrete time & differential equations). DEVS features are also present in the systems theory.
The first theme of this book is to propose a sound methodology for the construction of complex system models based on the unifying concept of the DEVS Bus. This concept enables the mapping into DEVS of different models expressed in various formalisms such as Petri nets, Hierarchical block diagrams, cellular automata. The second theme focuses on parallel and distributed simulation of discrete event models. Distributed simulation has the potential to support the co-existence of multiple formalisms in multimodels.
I will try to depict the merits and demerits in comparison to other current and past books. First of all, being in the simulation field for ten years now, I have to cite some complementary references. Without giving an exhaustive list of all recent valuable books in the simulation field, we can find other high quality simulation text books ; for instance for continuous simulation [Cellier 1991], for general purpose simulation [Fishwick 1995] or even for more specific object-oriented simulations [Hill 1996]. However, I must admit that this Theory of Modelling and Simulation¡¨ is the only book available to help construct efficient object-oriented simulations of DEVS models on parallel and distributed environments. In addition, modelers who have to deal with HLA (High Level Architecture) compliant simulations will find in the book the reference to design integrative simulations.
The best significant features of this book are:
*The presentation of a comprehensive framework for continuous and discrete event modelling and simulation The exploration of the mathematical foundation of simulation modelling.
*The discussion of system morphisms for model abstraction and simplification *The presentation of a new approach to discrete event simulation of continuous processes. *The discussion of model credibility and interoperation * The highlighting of design concepts like such as modular and hierarchical model composition. *The presentation of a sound methodology to achieve parallel and distributed simulation models.
The reviewer only regrets the lack of public availability for DEVS platforms, despite the quotation of a web site, simulation environments (such as DEVSJAVA) are a real need to fully understand practical and theoretical aspects.
This book has multiple facets. From my teaching and scientific experience, I would say that the primary audience comprises engineers, scientists and other technical people working in academic institutions, but there are many chapters particularly well suited for students at a graduate or even undergraduate level. In my opinion, this was not the case of a previous book from the main author [Zeigler 1990] which was an excellent reference for specialists. I am now impressed by this ability to communicate at various levels. I strongly recommend this book for the reader interested in any kind of simulation and modelling, its impact on research in control will surely be recognized.
References: [Cellier 1991] CELLIER F.E., Continuous System Modeling, Springer Verlag, 1991. [Fishwick 1995] FISHWICK P.A., Simulation Model Design : Building digital worlds, Prentice-Hall, 1995. [Hill 1996] HILL D., Object-Oriented Analysis and Simulation, Addison-Wesley Longmann, 1996. [Zeigler 1990] ZEIGLER B.P., O-O Simulation with hierarchical modular models : Intelligent agents and endomorphic systems. Academic Press, London, 1990
Simulation and Excel.......2000-05-25
This book is an good example and reference how to solve optimization problems using simulation of the system (mostly it is Discrete Event simulation problems THERE ARE NO LINEAR OPTIMIZATION PROBLEMS IN REAL LIFE IN MY OPINION
Average customer rating:
- Fun to read
- Great Companion to'The Evolution of Cooperation'
|
The Complexity of Cooperation
Robert Axelrod
Manufacturer: Princeton University Press
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Binding: Paperback
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Book Description
Robert Axelrod is widely known for his groundbreaking work in game theory and complexity theory. He is a leader in applying computer modeling to social science problems. His book The Evolution of Cooperation has been hailed as a seminal contribution and has been translated into eight languages since its initial publication. The Complexity of Cooperation is a sequel to that landmark book. It collects seven essays, originally published in a broad range of journals, and adds an extensive new introduction to the collection, along with new prefaces to each essay and a useful new appendix of additional resources. Written in Axelrod's acclaimed, accessible style, this collection serves as an introductory text on complexity theory and computer modeling in the social sciences and as an overview of the current state of the art in the field.
The articles move beyond the basic paradigm of the Prisoner's Dilemma to study a rich set of issues, including how to cope with errors in perception or implementation, how norms emerge, and how new political actors and regions of shared culture can develop. They use the shared methodology of agent-based modeling, a powerful technique that specifies the rules of interaction between individuals and uses computer simulation to discover emergent properties of the social system. The Complexity of Cooperation is essential reading for all social scientists who are interested in issues of cooperation and complexity
Download Description
Robert Axelrod is widely known for his groundbreaking work in game theory and complexity theory. He is a leader in applying computer modeling to social science problems. His book The Evolution of Cooperation has been hailed as a seminal contribution and has been translated into eight languages since its initial publication. The Complexity of Cooperation is a sequel to that landmark book. It collects seven essays, originally published in a broad range of journals, and adds an extensive new introduction to the collection, along with new prefaces to each essay and a useful new appendix of additional resources. Written in Axelrod's acclaimed, accessible style, this collection serves as an introductory text on complexity theory and computer modeling in the social sciences and as an overview of the current state of the art in the field. The articles move beyond the basic paradigm of the Prisoner's Dilemma to study a rich set of issues, including how to cope with errors in perception or implementation, how norms emerge, and how new political actors and regions of shared culture can develop. They use the shared methodology of agent-based modeling, a powerful technique that specifies the rules of interaction between individuals and uses computer simulation to discover emergent properties of the social system. The Complexity of Cooperation is essential reading for all social scientists who are interested in issues of cooperation and complexity
Customer Reviews:
Fun to read.......2003-11-16
A sequel to his prior book, "the evolution of cooperation".
Iterated prisoner's dilemma is the center of this book,
with a particular focus on the collaboration in the interests of competiion.
No mathmatical background required and usefull referenced included.
Great Companion to'The Evolution of Cooperation'.......2003-09-26
This books covers what Robert Axelrod been up to since "The Evolution of Cooperation." Extensions to the original "Prisoner's Dilemma" have required new agent behaviors for stable solutions.
"Coping with Noise" deals with agents that make mistakes in their defections and cooperation.
"Promoting Norms" covers the fact that pure self-interest isn't a stable strategy and to promote stability requires norms - common behaviors among agents. The most interesting result from his work is NOT that agents should punish defectors - that is intuitive - but agents who DON'T punish defectors (of norms) must be "persuaded" to punish defectors to keep the norm stable. I guess we all need both the carrot and stick!
"Choosing Sides" covers landscape theory - the creation of population aggregates because similar agents tend to clump together.
There are other interesting sections and I like this book. I would normally give a five to this book; however, this is also a thin book. If there were more coverage of the material and a more in depth discussion of other peoples work, I would have given it a five.
Average customer rating:
- It was a good deal too
- A timeless reference
- Read it if you need to write your first simulation program
- Bible for Simulation
- Better understanding, rather than point and click
|
Simulation Modeling and Analysis (Industrial Engineering and Management Science Series)
Averill Law , and
W. David Kelton
Manufacturer: McGraw-Hill Science/Engineering/Math
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Simulation with Arena w/ CD-Rom
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Simulation with Arena with CD (McGraw-Hill Series in Industrial Engineering and Management)
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Simulation, Third Edition
ASIN: 0070592926 |
Book Description
This authoritative, comprehensive, and thoroughly up-to-date guide addresses all the important aspects of a simulation study, including modeling, simulation languages, validation, input probability distribution, and analysis of simulation output data. Full scale treatments of manufacturing systems simulation and simulation software and animation are also included along with useful and instructive case studies.
Customer Reviews:
It was a good deal too.......2007-08-16
The Book was in good shape. It was a good deal too
thank you
A timeless reference.......2006-11-30
I won't repeat what the others have said. I will just say it is an excellent book. I first purchased the book in 1987 for a college class. Unlike most other computer books I've purchased through the years, this book is as valuable a reference today as it was in 1987. In fact, I refer to it so often (and lend it out so often) I have two copies, one in my home library and one on my quick reference shelf (right next to the dictionary) in the office. In my opinion, if one is serious about understanding simulations and computer modeling for analysis purposes this is a must have reference.
Read it if you need to write your first simulation program.......2004-06-21
Before reading this book I didn't have a clue about simulation modeling, but after reading the first few chapters I was able to write my first simulation program in C++. Although authors use C language and global data for simulation state, you can easily apply the concept of simulation state to any object-oriented language and replace global simulation state with object state.
Bible for Simulation.......2001-12-28
There are other books for giving you the simulation techniques and languages but to know the theory and statistics of simulation this is THE book.It startes with basics of statisstics and deals everthing you need to know about simulation. At some point you will start wondering how the authors could give so much information in just one book and lose lots of royalty money on the succeeding books.
Better understanding, rather than point and click.......2001-02-06
This book is the ground foundation of simulation modeling. Currently, only few books in simulation will spend pages and time, dedicated to the theoretical issues as good as this book. If you're tired of point-and-click or "how-to making one server queueing system" and you want to know the fundamental of simulation, you can't overlook this piece of jewel. I don't agree with one review that you have to understand statistics in order to get this book. Simulation is a probabilistic model. Using simulation without understanding statistics results in serious trouble since it will be only a toy (data), not a tool (information.
Average customer rating:
- A must for Location Models
- Comprehensive math model of location and network
|
Network and Discrete Location: Models, Algorithms, and Applications
Mark S. Daskin
Manufacturer: Wiley-Interscience
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Binding: Hardcover
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ASIN: 047101897X |
Book Description
The comprehensive introduction to the art and science of locating facilities to make your organization more efficient, effective, and profitable. For the professional siting facilities, the task of translating organizational goals and objectives into concrete facilities requires a working familiarity with the theoretical and practical fundamentals of facility location planning and modeling. The first hands-on guide to using and developing facility location models, Network and Discrete Location offers a practiceoriented introduction to model-building methods and solution algorithms, complete with software to solve classical problems of realistic size and end-of-chapter exercises to enhance the reader's understanding. The text introduces the reader to the key classical location problems (covering, center, median, and fixed charge) which form the nucleus of facility location modeling. It also discusses real-life extensions of the basic models used in locating: production and distribution facilities, interacting services and facilities, and undesirable facilities. The book outlines a host of methodological tools for solving location models and provides insights into when each approach is useful and what information it provides. Designed to give readers a working familiarity with the basic facility location model types as well as an intuitive knowledge of the uses and limits of modeling techniques, Network and Discrete Location brings students and professionals alike swiftly from basic theory to technical fluency.
Customer Reviews:
A must for Location Models.......2004-08-07
I am a PhD student in Operations Management and this is one of the best books in Location Management. Very clear and very precise, I did not need a class to understand the material. Its definitely a must for any body who wants a background on Location Models
Comprehensive math model of location and network.......2000-09-04
This is the 2nd best book after Ahuja et.al. book (Network Flows : Theory, Algorithms, and Applications, 1993). As I said, it's the 2nd best book -so don't be surprised if you found Ahuja's book more useful. However, Daskin did good job to compile both location and network analysis in a single text book. We can see many issues in these areas in this book. I'd love to see more integration both math model and algorithm in this book though. If you don't have Ahuja's book, you may wanna grasp one (it's out-of-stock) before getting this book. However, if you are new to do research in location and network, grasp Daskin's book. You won't be disappointed with this book!
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