This text combines the market leading writing and presentation skills of Bill Stevenson with integrated, thorough, Excel modeling from Ceyhun Ozgur. Professor Ozgur teaches Management Science, Operations, and Statistics using Excel, at the undergrad and MBA levels at Valparaiso University --and Ozgur developed and tested all examples, problems and cases with his students. The authors have written this text for students who have no significant mathematics training and only the most elementary experience with Excel.

Provides graduate and undergraduate students with an introduction to management science procedure and the role it plays in the decision- making process. This edition contains expanded presentation of Microsoft Excel spreadsheet appendices; new case problems to address current trends in management science; and a new management science software 5.0 package (available under a different ISBN). Includes self-test exercises with worked-out solutions. Annotation copyrighted by Book News, Inc., Portland, OR

This well-loved textbook covers all of the key quantitative methods needed to solve everyday business problems. Presented in a highly accessible and concise manner, Les Oakshott's clear and friendly writing style guides students from basic statistics through to advanced topics, such as hypothesis testing and time series, as well as operational research techniques such as linear programming and inventory management. Step-by-step instructions and accompanying activities will help students to practice and gain confidence in carrying out techniques. The book's coverage is fully grounded within the real world of business. Real-life case studies open every chapter and numerous examples throughout demonstrate why quantitative techniques are needed for a business to be successful. An ideal textbook for undergraduate students of business, management and finance, it is also suitable for MBA students and postgraduates. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/essential-quantitative-methods-7e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Quantitative Methods for Decision Making is a comprehensive guide that provides students with the key techniques and methodology they will need to successfully engage with all aspects of quantitative analysis and decision making; both on their undergraduate course, and in the larger context of their future business environments. Organized in accordance with the enterprise functional structure where the decision making takes place, the textbook encompasses a broad range of functions, each detailed with clear examples illustrated through the single application tool Microsoft Excel. The authors approach a range of methods which are divided into major enterprise functions such as marketing, sales, business development, manufacturing, quality control and finance; illustrating how the methods can be applied in practice and translated into a working environment. Each chapter is packed with short case studies to exemplify the practical use of techniques, and contains a wealth of exercises after key sections and concepts, giving students the opportunity to monitor their own progress using the solutions at the back of the book. An Online Resource Centre accompanies the text and includes: For students: - Numerical skills workbook with additional exercises, questions and content - Data from the examples and exercises in the book - Online glossary of terms - Revision tips - Visual walkthrough videos covering the application of a range of quantitative methods - Appendices to the book For lecturers: - Instructor's manual including solutions from the text and a guide to structuring lectures and seminars - PowerPoint presentations - Test bank with questions for each chapter - Suggested assignment and examination questions

This book is specially designed for a course in Quantitative Techniques taught to MBA students. It provides the students with a thorough introduction to basic quantitative tools required to perform analytical evaluations and arrive at logical decisions. The second edition of the book essentially retains the flavour of the first edition. Concepts have been explained in an easy to understand language and emphasis is on practical applications rather than rigorous mathematical treatment. As far as possible, detailed proofs and axioms associated with pure mathematics have been avoided. The text in the second edition has been suitably modified for giving better clarity. Nearly fifty solved examples have been added to various chapters to enable students to understand the nuances of problem solving. Fifty unsolved problems have also been added to give ample scope to the student for practice. The book also includes chapters on transportation models, assignment models and network analysis. KEY FEATURES : Learning objectives at the beginning of each chapter enable students to focus on important points of a chapter. Case studies and real life problems to connect students to the real-world situations. Worked examples to enhance student comprehension of the subject. Numerous well-balanced chapter-end exercises with answers to help students attain confidence and master the concepts. Illustrations on solutions to problems with the help of computer software. Summary at the end of each chapter to help students review the key concepts.

This Third Edition of the popular management science text, featuring more concise coverage of topics, new case studies for all eighteen chapters, and more illustrations, tables, and diagrams. Practical approach teaches students how to use management science techniques in real-world situations. Contains over 500 problems and 200 discussion questions.

This text is a brief introduction to various quantitative methods used in economic decision making, including input-output, inventory control and Markhov chains. It provides basic models that can be utilized to solve real-world problems.