Showing posts with label operations research. Show all posts
Showing posts with label operations research. Show all posts

5/25/2012

Military Operations Research: Quantitative Decision Making (International Series in Operations Research & Management Science) Review

Military Operations Research: Quantitative Decision Making (International Series in Operations Research and Management Science)
Average Reviews:

(More customer reviews)
Jaiswal provides the most recent land power-focused military operations research volume. He provides a basic survey of the field, beginning with a very brief discussion of the origins of OR in the military. His topics include search and detection, military simulation, cost effectiveness analysis, optimization, the Analytic Hierarchy Process, Lanchester equations, and a quantified approach to intelligence analysis. The reader should be aware that his coverage of various specific military simulation models is a bit dated, as one should expect in a book, and limited in scope. Beyond that topic, his treatment is broad and therefore less sensitive to the passage of time. The book is a survey, so depth of treatment is not present. But it fills the intended role of pulling together disparate topics of land-based military OR. It also provides some perspective on non NATO defense issues. It must be challenging to decide what to exclude, but surprisingly there is no coverage of network flows, queuing theory, decision analysis, or game theory which have clear military applications. The focus is also on operations rather than the logistics of military analysis.

Click Here to see more reviews about: Military Operations Research: Quantitative Decision Making (International Series in Operations Research & Management Science)

The field of Operations Research (OR) grew out of World War IIoperations to improve the effectiveness of newly introduced weaponsand equipment, and to solve logistical problems for the war effort.Since its beginnings, OR has rapidly become a robust set ofdecision-making methodologies widely used in business, engineering,and governmental sectors. Nevertheless, many of OR's military anddefense contributions have remained confined to classified reports.This book is a systematic, state-of-the-art treatment of militaryoperations research (MOR). It has been written for those interested inlearning about the applications of OR techniques to military problems,and within these discussions theoretical concepts needed for analysisof military issues are presented. The book examines issues that relateto both tactical and strategic levels. Several examples have beensolved in each chapter to illustrate the application of the techniquesof MOR to military systems. The data used in these examples arehypothetical. They do not correspond to any existing weapon ormilitary situations. They are used strictly to illustrate anapplication of MOR in defense decision-making.

Buy Now

Click here for more information about Military Operations Research: Quantitative Decision Making (International Series in Operations Research & Management Science)

Read More...

3/06/2012

Practical Management Science (with CD-ROM, Decision Tools and Stat Tools Suite, and Microsoft Project 2003 120 Day Version): Spreadsheet Modeling and Applications (with CD-ROM Update) Review

Practical Management Science (with CD-ROM, Decision Tools and Stat Tools Suite, and Microsoft Project 2003 120 Day Version): Spreadsheet Modeling and Applications (with CD-ROM Update)
Average Reviews:

(More customer reviews)
Unlike most textbooks on OR/MS, Winston and Albright's Practical Management Science's has, at least, three clear possible roles -- each performed superbly. 1. As a self-study text for someone learning / relearning management science in a spreadsheet environment. 2. As a management science student's self-help resource to decipher whatever cryptic text happens to have been required for a course. 3. As a conventional textbook to be chosen by an academic for classroom use.
1. As a self-study text for someone learning / relearning management science in a spreadsheet environment, you'll find PMSc written with obvious and utter mastery of the subject matter, that's commendable but hardly unique. What is unique are the clarity of the presentation and the lucidity of the abundant examples running throughout. In addition, there is thoroughness in the treatment which effectively anticipates virtually any and all sources of confusion which a student of any stripe might suffer. It is, in my view, wholly autodidactic. There is a subset of this type of user: the individual with a job-specific task which defies current familiarity / skill-level. No sweat! Use the inside-the-front cover material as a functional area task locator to identify "look-alike" situations and then proceed to master all which is required by back-tracing the example to similar situations encapsulated within the many interspersed problems -- for each of which there is a complete Excel solution format.
2. As a management science student's self-help resource with which to cope and to decipher whatever cryptic text was assigned for the course. If you find yourself in this far too common dilemma, take heart, help is well and truly at hand. Skim the TOC, find the relevant chapter and enjoy basking in your fast-welling, new-found competence. PMSc will provide ample basis for warranting a celebration at the local "pub" -- or whatever passes for same in your locale.
3. "As a conventional textbook to be chosen by an academic for classroom use" was the category into which I "fell." To my dismay, I recently found myself assigned, on extremely short notice, to teach a comprehensive course on MS/OR. I found our standard two-volume text decidedly off-putting and could only conclude that my students would likely as well. As my background includes accounting, finance, and computer systems, I knew that I wanted a spreadsheet-based textbook for the course. As at most schools, MS is under fire for "relevance" and "accessibility," compounded here through the "mix" of students for my various sections: MBA, EMBA, and MS/MOT (latter all engineering degreed).
Suffice it to say that the classes proved complete successes: the students petitioned the Dean to have an advanced management science course added to the curriculum which I'm teaching this (fall '98) semester. In addition to covering the chapters / chapter sections omitted from the "introductory" course, we're using PMSc as the primary text with Bodily, Carraway, et al's excellent QBA case book for facilitating the integration of MS with finance, marketing, operations, and strategy.
As a sidebar: Most of my MBA students were from one of our "dedicated" MBA programs. These manager / students have apparently provided many of their subordinates with copies of PMSc. Their experience had regularly been that they were using on Monday the material I had "taught" them on Saturday.
As if this weren't enough praise, I'm using PMSc as a supplemental text in my finance courses because of its lucid and extensive coverage of @RISK and for the extensive finance material provided. This is proving extremely popular with my students.
As you might infer, I think that PMSc is without peer as the best and most effective text for learning how to actually perform REAL management science without tears or undue ancillary learning. I've yet to have a student who was not wildly enthusiastic about PMSc (that's not hyperbole) -- when's the last time you've had THAT experience?
I'd be happy to hear from anyone buying this text -- I really WANT to hear from anyone buying this text who is less than completely satisfied.

Click Here to see more reviews about: Practical Management Science (with CD-ROM, Decision Tools and Stat Tools Suite, and Microsoft Project 2003 120 Day Version): Spreadsheet Modeling and Applications (with CD-ROM Update)

This text takes an active-learning approach, providing numerous examples and problems so students can practice extensively with a concept before moving on. Four types of problems -- skill-building, skill-extending, modeling, and cases are graded within sections and chapters to help instructors assign homework. Another important feature is the way that the text integrates modeling into all functional areas of business: finance, marketing, operations management using real examples and real data. The text emphasizes modeling over algebraic formulations and memorization of particular models. Shell files are also provided so that instructors can give students as much or as little information as they need.

Buy Now

Click here for more information about Practical Management Science (with CD-ROM, Decision Tools and Stat Tools Suite, and Microsoft Project 2003 120 Day Version): Spreadsheet Modeling and Applications (with CD-ROM Update)

Read More...

2/04/2012

Introductory Management Science : Decision Modeling With Spreadsheets (with CD-ROM) Review

Introductory Management Science : Decision Modeling With Spreadsheets (with CD-ROM)
Average Reviews:

(More customer reviews)
I use this book for my "Quantitative Methods for Decision Making" class and there is some involvement of mathematics. But it is just easy to understand and to use. Also the methods used here are really sort of fundamental and important. I recommend this book for those who really hate deep mathematical involvement in management science.

Click Here to see more reviews about: Introductory Management Science : Decision Modeling With Spreadsheets (with CD-ROM)

This highly-esteemed text introduces readers to the key ideas of modeling and management decision making that will be important to them throughout their careers. Addressing the needs of readers interested in both business administration and decision science careers, the book provides a conceptual foundation for all topics and the role of spreadsheet modeling techniques in the larger context of business decision-making. This text fully integrated Excel spreadsheets. It is packaged with a free CD-ROM which contains the student version of Crystal Ball Software, Excel templates, plus much, much more. Part of JIT program.

Buy Now

Click here for more information about Introductory Management Science : Decision Modeling With Spreadsheets (with CD-ROM)

Read More...

8/23/2011

AMPL: A Modeling Language for Mathematical Programming Review

AMPL: A Modeling Language for Mathematical Programming
Average Reviews:

(More customer reviews)
Most software "companions" (more than a manual...not quite a book) really do not do justice to the software. Quite the contrary for the AMPL guide. AMPL (the language) is a *very* powerful and *very* easy to use Optimization package. It interfaces with most of the major solvers. Users program in AMPL which is more or less pseudocode and then solve LP, nonlinear, combinatorial, integer, etc. programs. Unlike most software packages, it is both robust and easy to use. Likewise with the companion/book. There are many great, easy to follow examples, and it clearly explains the intrecacies of the language. A must use software and most own book for anyone doing any optimization work.

Click Here to see more reviews about: AMPL: A Modeling Language for Mathematical Programming

AMPL is a language for large-scale optimization and mathematical programming problems in production, distribution, blending, scheduling, and many other applications. Combining familiar algebraic notation and a powerful interactive command environment, AMPL makes it easy to create models, use a wide variety of solvers, and examine solutions. Though flexible and convenient for rapid prototyping and development of models, AMPL also offers the speed and generality needed for repeated large-scale production runs. This book, written by the creators of AMPL, is a complete guide for modelers at all levels of experience. It begins with a tutorial on widely used linear programming models, and presents all of AMPL's features for linear programming with extensive examples. Additional chapters cover network, nonlinear, piecewise-linear, and integer programming; database and spreadsheet interactions; and command scripts. Most chapters include exercises. Download free versions of AMPL and several solvers from www.ampl.com for experimentation, evaluation, and education. The Web site also lists vendors of the commercial version of AMPL and numerous solvers.

Buy NowGet 18% OFF

Click here for more information about AMPL: A Modeling Language for Mathematical Programming

Read More...

8/16/2011

Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets Review

Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets
Average Reviews:

(More customer reviews)
Factors that contributed to a low rating for this book include, a lack of user-friendliness and lengthy case studies. The blue colored wordings (black would be better) can be quite glaring under the lights making it not smoothing to the eyes.
Furthermore, it uses long case studies which could have been shortened by cutting down on the introductions to the companies it made reference to. More focus should be given to concepts at the earlier stage of every section, instead of making the reader running through a lengthy introduction before focusing on the concepts.
Important concepts could also have been left out. One example would be the omission of 'Reduced Cost' under the chapters of Linear Programming and Integer Programming.
However, this book is certainly catered to users of MS Excel. It has in-depth discussions of Excel in areas of Management Science

Click Here to see more reviews about: Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets

These authors are well known for their best selling text, Introduction to Operations Research.This new text is also headed for great success, as it offers a unique case-study approach, and it integrates the use of Excel.Each chapter includes a case study which is meant to show the students a real and interesting application of the topics addressed in that chapter...--This text refers to an out of print or unavailable edition of this title.

Buy Now

Click here for more information about Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets

Read More...

8/02/2011

Excel Data Analysis: Modeling and Simulation Review

Excel Data Analysis: Modeling and Simulation
Average Reviews:

(More customer reviews)
I was a graduate student of Professor Guerrero at The College of William and Mary and have to recommend this book. For those unfortunates who did not have him as an instructor, this is a book that gives you the experience of spending time with him in the classroom. The practical application of Excel as a modeling and simulation tool is delivered in a conversational style that engages the reader and occasionally generates a chuckle. Yes, a chuckle in a text that includes the words Excel, Modeling and Simulation in the title. However, inbetween the chuckles is solid theory and application. It's a clever text.
I would recommend this book if only for the discussion of the feng shui of worksheet development - as users, we sometimes don't think through the design of the excel workbook. We build and link, build and link, build and link...
So, Senior Brain, I put my workbook in your hands...

Click Here to see more reviews about: Excel Data Analysis: Modeling and Simulation

This book is written for the students and practitioners who are looking for a single introductory Excel-based resource that covers three essential business and analytical skills-Data Analysis, Business Modeling, and Simulation of Complex Problems. The focus of the book is clearly on analysis of problems for decision making, yet detailed explanations regarding how to use Excel tools are provided. After many years of teaching and consulting, it is abundantly clear to me that for most students, a good example is worth its weight in gold. This book contains many excellent examples in each chapter, some simple and others more complex, and there is an abundance of exhibits to guide the student through the maze of steps necessary for each analysis.The content is quite diverse: data presentation - the Feng Shui of spreadsheets, effective communication and collaboration, data preparation - import, scrub, manipulate data, data analysis - statistical methods: descriptive, inferential, and predictive, Design of Experiments, modeling - deterministic, probabilistic, What-if, Scenarios, simulation - quantifying uncertainty, Monte Carlo Simulation, optimization - constrained, Linear Programming, non-linear models, Goal Seek.Couple these features with detailed discussions of how to realistically organize and extract insight from complex problems, and I believe you have a unique educational combination in one book.

Buy NowGet 21% OFF

Click here for more information about Excel Data Analysis: Modeling and Simulation

Read More...