Book Description
The most authoritative, cutting-edge book for operations management and supply chain management. The book demands rigorous analysis on the part of students. When the use of quantitative tools or formal modeling is indicated, it is only to perform the necessary analysis needed to inform and support a practical business solution.
Customer Reviews:
Tackles complex issues simply, well integrated with course.......2005-04-20
I am an MBA student who has used this course book for our first year operations class. The book tackles difficult topics in a very easy to read way and is extremely well integrated with the associated case book and lecture notes. It provides the right level of detail, enabling students to pick up the tools or delve more deeply into the underlying mathematical constructs. The book does what it says on the label, teaching how to match supply with demand through analyzing process bottlenecks, queuing, lost customers, optimal inventory and yield management and supply chain management issues, such as the bull-whip effect and tackling double marginalization. This is a great introductory book to operations management.
A fun, useful and interesting book to learn operation mgmt .......2005-04-18
I am currently attending an MBA program and we are using this book in one of our operations classes. Highly recommend this book to schools and students who would like to learn how to solve the supply and demand problem!
First, this book is very easy to read. Throughout the book, the authors used different examples to illustrate the various challenges in realistic settings such as the patient waiting and serving time at the interventional radiology unit. The readers can easily extend and relate the examples in real life.
Second, this book is good for the classroom setting as well as the self study setting. The book is organized in a way that each chapter is focused on one operations management problem and shows the systematic ways to solve the problem. For self learner, one can easily select the topics and chapters of his/her interest.
Also, I found the summary at the end of each chapter especially useful for me. To prepare my exams, I use the summary of key notions and equations in each chapter to make up my "cheat sheet".
Again, "Matching Supply with Demand" is a great book and I highly recommend it.
Comprehensive, useful and very well written.......2005-04-04
I found this text book to be extremely helpful in understand and applying operations management. It includes a comprehensive introduction into topics like process flow, estimating and reducing labor costs, batching, the impact of variability, projecting uncertain demand, reactive capacity, risk pooling and several others.
More importantly, the models and examples used are not only practical, but actually interesting. Class discussions were drastically improved due to an increased interest in the cases. I'm sure it took a monumental effort to develop models and cases that make Operations Management interesting to the common student.
excellent.......2005-04-03
Used this book in the core MBA course - excellent summary of class lectures & very helpful supplement.
Book of choice for operations management!.......2005-04-02
A fantastic book for operations management!
The book cleverly combines real-life examples with relevant concepts to introduce core principles in operations managmenet.
It is well-organized, easy to understand,and highly relevant.
Book Description
The objective of this management science book is to help the reader solve the decision-making problems that confront managers in both the public and private sectors. It demonstrates the use of mathematical models to solve these problems, and provides numerous examples and illustrations to help the reader easily understand the material presented. Its concentration on computer solutions with Excel spreadsheets allows the reader to focus on the newest technological tools.
Topics covered in this comprehensive book are linear programming; integer programming; transportation, transshipment, and assignment problems; network flow models; project management; nonlinear programming; probability and statistics; decision analysis; queuing analysis; simulation; forecasting; and inventory management.
With its comprehensive appendices and CD-ROM module examples, this book is an excellent reference work for managers that utilize modeling techniques to solve problems and make decisions.
Customer Reviews:
A lot is missing.......2006-11-29
While I welcome the practical style, with to-the-point chapters, this book leaves a lot out. For instance, in Integer Programming, you will *not* see the branch-and-bound technique explained. The Simplex method is in the appendix! The whole book is dependent upon proprietary software, such as the Excel solver.
Because of the outrageous price and these "features", I recomend you get yourself a copy of the competition (e.g., Hillier), and stick more to "tradition", because it is much more likely to create a foundation. In today's fast moving world, we need foundations, not quick fixes.
I did appreciate the excercises, though, a lot of them with answers (but at this price?)
Book Description
The second edition of
An Introduction to Efficiency and Productivity Analysis is designed to be a general introduction for those who wish to study efficiency and productivity analysis. The book provides an accessible, well-written introduction to the four principal methods involved: econometric estimation of average response models; index numbers, data envelopment analysis (DEA); and stochastic frontier analysis (SFA). For each method, a detailed introduction to the basic concepts is presented, numerical examples are provided, and some of the more important extensions to the basic methods are discussed. Of special interest is the systematic use of detailed empirical applications using real-world data throughout the book.
In recent years, there have been a number of excellent advance-level books published on performance measurement. This book, however, is the first systematic survey of performance measurement with the express purpose of introducing the field to a wide audience of students, researchers, and practitioners. Indeed, the 2
nd Edition maintains its uniqueness: (1) It is a well-written introduction to the field. (2) It outlines, discusses and compares the four principal methods for efficiency and productivity analysis in a well-motivated presentation. (3) It provides detailed advice on computer programs that can be used to implement these performance measurement methods. The book contains computer instructions and output listings for the SHAZAM, LIMDEP, TFPIP, DEAP and FRONTIER computer programs. More extensive listings of data and computer instruction files are available on the book's website: (www.uq.edu.au/economics/cepa/crob2005).
Customer Reviews:
Graduate level book.......2006-11-10
Im using this book for a class on the same topic as the name of the book. My prof is someone who is an expert on the topic and he knows the author well. In fact he's writing his own book. I find the topics advanced, maybe for senior level econ-math majors and more for graduate study. Reader must have a decent background in economics and mathematics to grasp concepts as the into, which was supposed to be a crash course in microecon would not be helpful to someone with no prior training.
efficiency and productivity analysis`.......2006-11-06
I am very happy to receive my order even before the expected date. it was in good order.
An Introduction to Efficiency and Productivity Analysis.......2005-07-19
A complete and an excellent book that provides the gist to efficiency and productivity analysis, and surely an important and particularly a very useful resource to those involve in study/research of the field.
Customer Reviews:
DOE step by step with examples.......2006-10-28
DOE is the set of process improvement tools for studying more than one factor in a single experiment. The 92 page book is straight forward with many examples to show the methodology for setting up 2, 3 and up to 31 factor experiments which according to the author will cover >90% of the DOE requirements.
The workbook is filled with case studies and examples from manufacturing problems which guide you through the process and help evaluate your understanding before moving to the next section. The mathematical/statistical equations are a bit intimidating but these can be set-up in a spreadsheet. The author says that these DOE tools can be used on office or sales processes but never gives an example of one.
The value in this book is if you are doing a quality or six sigma project. Also, it will be of value if you are working in industries like chemical or mining, where yields are the key to success. The book shows the equations to use, the eight steps for analysis and the logical steps to creating an experiment. Additionally, it includes an appendix with T (95% confidence level) and F (degree of freedom) values which are necessary references if you attempt to do this without a statistical software package.
This book is headed in the right direction..........1999-09-09
This is the second least complicated book I have ever read on DOE. Thanks Larry for writing the book! I wish that it had MANY more examples showing each DOE type he covers...Also, there is a need to FURTHER elaborate in simpler terms all of the concepts. I am still not understanding why a DOE book can't come out that isn't easy to read!
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Introduction to Computational Optimization Models for Production Planning in a Supply Chain
Stefan Voß , and
David L. Woodruff
Manufacturer: Springer
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Supply Chain Management and Advanced Planning: Concepts, Models, Software and Case Studies
ASIN: 3540298789 |
Book Description
The book begins with an easy-to-read introduction to the concepts associated with the creation of optimization models for production planning. These concepts are then applied to well-known planning models, namely mrp and MRP II. From this foundation fairly sophisticated models for supply chain management are developed. Another unique feature is that models are developed with an eye toward implementation. In fact, there is a chapter that provides explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages. The new edition is updated and provides extensions.
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Introduction to Mathematical Programming
Russell C. Walker
Manufacturer: Prentice Hall
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Calculus: Early Transcendentals
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Moon, Sun and Witches
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Business Essentials (6th Edition)
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Late Victorian Holocausts: El Niño Famines and the Making of the Third World
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Microeconomics and Behavior
ASIN: 0132637650 |
Book Description
Empowering users with the knowledge necessary to begin using mathematical programming as a tool for managerial applications and beyond, this practical guide shows when a mathematical model can be useful in solving a problem, and instills an appreciation and understanding of the mathematics associated with the applied techniques. Surveys problem types, and discusses various ways to use specific mathematical tools. Contains prerequisite material for the study of linear programming, and offers a brief introduction to matrix algebra. Discusses the special structures of four network problems: the transportation problem, the critical path method, the shortest path problem, and minimal spanning trees. Covers compound interest and explores the financial aspects of specific problems considered throughout the book. Touches on "mathematics" oriented (vs. applications) material, with integrated proofs and discussions on such topics basic graph theory, linear algebra, analysis, properties of algorithms, and combinatorics. An extensive appendix section includes answers to many problems, an introduction to the linear programming package LINDO, an overview of the symbolic computation package Maple, and brief introductions to the TI-82 and TI-92 calculators and their applications.
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Quantitative Analysis: An Introduction (Automation and Production Systems, Methodologies and Applications, Vol 2)
Roy M Chiulli
Manufacturer: CRC
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ASIN: 9056996290 |
Book Description
Written in a lecture format with solved problems at the end of each chapter, this book surveys quantitative modeling and decision analysis techniques. It serves to familiarize the reader with quantitative techniques utilized in planning and optimizing complex systems, as well as students experiencing the subject for the first time. It can be used by students of business and public administration without a background in calculus as well as engineers with significant scientific training. It allows the reader to comprehend the material through examples and problems and also demonstrates the value and shortcomings of many methods. Quantitative Analysis: An introduction developed out of the author's experience teaching the material to students at the University of California Los Angeles, California State University, Northridge, and the University of Southern California, Los Angeles.
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Decision Modeling in Policy Management: An Introduction to the Analytic Concepts
G.E. Beroggi
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover
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ASIN: 0792383303 |
Book Description
The effectiveness of policy decisions depends not only on the quality of the analysis but also on the communication between analyst and decision-maker. As a result, this book employs the following three-step decomposition of the decision modeling process throughout the book: (1) visual-structural modeling, (2) analytic-formal modeling, and (3) algorithmic resolution modeling. The 10 chapters address the most relevant issues in decision modeling in policy management: the problem-solving process, visual decision modeling, descriptive and normative preference elicitation and aggregation methods, dealing with uncertainty in dynamic problems, social choices, conflict resolution, and constraint-optimization problems. A problem-oriented engineering approach has been taken throughout the book because this approach covers the most popular decision modeling issues in: (1) decision analysis (decision trees, probabilistic influence diagrams, fuzzy decision-making, risk analysis), (2) operations research (facility location, scheduling, linear and non-linear programming, network optimization), and (3) economics (cost-benefit analysis, capital budgeting, shadow prices, marginal rate of substitution, net present value, game theory).
Decision Modeling in Policy Management:
- Introduces a visual approach to decision modeling in policy management (over 100 figures and illustrations), integrating the European School (outranking relations, dimension reduction, ordinal preferences, rank correlation) and the American School (utility theory, analytic hierarchy process, game theory, constraint-optimization).
- Presents analytic approaches in the context of structural, formal, and resolution modeling; references to further practical and theoretical readings; intuitive visual reasoning; detailed numerical examples replacing theorems and formal proofs.
- Discusses new decision analytical features: visual interactive preference ordering; dynamic plots in virtual negotiation; hypermedia influence diagram modeling.
- Integrates 100 problems with worked-out solutions; an Internet syllabus with assignments, students comments, and Internet multimedia software are available.
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Introduction to Operations Management (Modular Texts in Business & Economics)
John Naylor
Manufacturer: Financial Times Management
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Binding: Paperback
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ASIN: 0273655787 |
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Matching Supply With Demand: An Introduction to Operations Management
Gerard Cachon , and
Christian Terwiesch
Manufacturer: Mcgraw-Hill College
ProductGroup: Book
Binding: Hardcover
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ASIN: 0073525162 |
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