Text
Introduction to management science 13 edition
New to This Edition
Management science is the application of mathematical models and computing technology to help
decision makers solve problems. Therefore, new text revisions like this one tend to focus on the
latest technological advances used by businesses and organizations for solving problems, as well
as new features that students and instructors have indicated would be helpful to them in learning
about management science. Following is a list of the substantial new changes made for this 13th
edition of the text:
• This revision incorporates the latest version of Excel® 2016 and includes more than 175
new spreadsheet screenshots.
• More than 60 new exhibit screenshots have been added to show the latest versions of
Microsoft® Project 2016, QM for Windows, Excel QM, TreePlan, and Crystal Ball.
• This edition includes 20 new end-of-chapter homework problems, so it now contains more
than 800 homework problems and 69 cases.
• All 800-plus Excel homework files on the Instructor's Web site have been replaced with
new Excel 2016 files.
• Updated “Chapter Web links” are included for every chapter. More than 550 Web links are
provided to access tutorials, summaries, and notes available on the Internet for the various
topics in the chapters. Also included are links to YouTube videos that provide additional
learning resources.
• Twelve of the 48 “Management Science Application” boxes are new for this edition. All of
these new boxes provide applications of management science techniques by companies and
organizations.
Solving Teaching and Learning Challenges
The objective of management science is to solve the decision-making problems that confront and
confound managers in both the public and private sectors by developing mathematical models of
those problems. These models have traditionally been solved with various mathematical techniques,
all of which lend themselves to specific types of problems. Thus, management science as a field
of study has always been inherently mathematical in nature, and as a result sometimes complex
and rigorous. My main goal through 13 editions of this book has always been to make these mathematical topics seem less complex and thus more palatable to undergraduate business students. To
achieve this goal I try to provide simple, straightforward explanations of often difficult mathematical topics. I try to use lots of examples that demonstrate in detail the fundamental mathematical
steps of the modeling and solution techniques. Although in the past three decades the emphasis in
management science has shifted away from strictly mathematical to mostly computer solutions,
my objective has not changed. I have provided clear, concise explanations of the techniques used in
management science to model problems and provided many examples of how to solve these models
on the computer while still including some of the fundamental mathematics of the techniques.
The stuff of management science can seem abstract, and students sometimes have trouble perceiving the usefulness of quantitative courses in general. I remember that when I was a student, I could
not foresee how I would use such mathematical topics (in addition to a lot of the other things I learned
in college) in any job after graduation. Part of the problem is that the examples used in books often
do not seem realistic. Unfortunately, examples must be made simple to facilitate the learning process.
Larger, more complex examples reflecting actual applications would be too complex to help the student learn the modeling technique. The modeling techniques presented in this text are, in fact, used
extensively in the business world, and their use is increasing rapidly because of computer and information technology, and the emerging field of business analytics. Therefore, the chances that students
will use the modeling techniques that they learn from this text in a future job are very great indeed.
Even if these techniques are not used on the job, the logical approach to problem solving
embodied in management science is valuable for all types of jobs in all types of organizations.
Management science consists of more than just a collection of mathematical modeling techniques;
it embodies a philosophy of approaching a problem in a logical manner, as does any science.
Thus, this text not only teaches specific techniques but also provides a very useful method for
approaching problems.
My primary objective throughout all revisions of this text is readability. The modeling techniques presented in each chapter are explained with straightforward examples that avoid lengthy
written explanations. These examples are organized in a logical step-by-step fashion that the student can subsequently
apply to the problems at the end of each chapter. I have
tried to avoid complex mathematical notation and formulas
wherever possible. These various factors will, I hope, help
make the material more interesting and less intimidating to
students.
Call Number | Location | Available |
---|---|---|
658 TAY i | PSB lt.1 - B. Wajib | 18 |
Penerbit | Harlow Pearson Education., 2019 |
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Edisi | 13th ed |
Subjek | Management science |
ISBN/ISSN | 9781292263045 |
Klasifikasi | 658 |
Deskripsi Fisik | 863 p. : ill. ; 26 cm. |
Info Detail Spesifik | - |
Other Version/Related | Tidak tersedia versi lain |
Lampiran Berkas | Tidak Ada Data |