Management science / Maria Anita A. Riguera, DBA.
Material type:
- text
- unmediated
- volume
- 9786210436778 (paperback)
- (CBA-Acct) HD 30.25 .2022 R54
Cover image | Item type | Current library | Call number | URL | Status | Barcode | |
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Foundation University Library Circulation | (CBA-Acct) HD 30.25 .2022 R54 c.3 (Browse shelf(Opens below)) | Link to resource | Available | 0092025003050 | |
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Foundation University Library Circulation | (CBA-Acct) HD 30.25 .2022 R54 c.1 (Browse shelf(Opens below)) | Link to resource | Available | 0092025003020 | |
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Foundation University Library Circulation | (CBA-Acct) HD 30.25 .2022 R54 c.2 (Browse shelf(Opens below)) | Link to resource | Available | 0092025003021 |
Include bibliographical references and index.
This introductory bookwas written to helpthe students appreciate Management Science as asubject that wil aid learningof other subjects like Quantitative Techniques ni Business, Economics, Management Accounting, Production Management, and Operations Research. The author also believes that this book will serve as a guide to entrepreneurs and managers in making decisions methodically and help them manage their operations more efficiently.
The best features of this book are the examples that relate to what is currently happening in the Philippines and other parts of the world. Engaging cases and problems include relevant issues, such as the coronavirus impact on business decisions, election campaign preparations ni the United States, and volunteers working with high-ranking government officials. In other words, a variety of realistic problem situations are used in the demonstration of eachmathematical models.
The intention of the author is for the readers to gain an understanding of the foundations of ManagementScience. Thus, most of the important and most repeatedly used quantitative tools are selected. In the first two chapters, the topic of Management Science is introduced. Then, the arrangement of the lessons progresses, starting from decision theories (Lessons 3 and 4) through linear programming (Lessons 5 and 6), distribution models (Lessons 7 and 8), network models (Lessons 9 and 10), Markov analysis (Lesson 11), dynamic programming (Lesson 12), game theory (Lesson 13), waiting lines(Lesson 14), inventory management (Lessons 15 and 16), and forecasting (Lessons 17 and 18). The essence of each topic is presented with the use of simple algebra and basic statistics.
Each lesson begins with an introduction of the topic that discusses a brief history of the development of the quantitative tool, its basic concepts, and how it wil solve a particular management problem. Toward the end of the lesson, sections, such as concluding remarks, review questions, case/problem solving, and suggested further readings, are included to help the students get a clear understanding of how the tools and techniques are employed in solving different types of management problems.
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