Quantitative methods for decision making using Excel

著者

書誌事項

Quantitative methods for decision making using Excel

Glyn Davis, Branko Pecar

Oxford University Press, c2013

大学図書館所蔵 件 / 全2件

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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

目次

  • PART 1 REFRESHER COURSE IN BUSINESS MATHEMATICS AND STATISTICS
  • PART 2 DECISION MAKING IN MARKETING, SALES AND BUSINESS DEVELOPMENT
  • PART 3 DECISION MAKING IN MANUFACTURING AND QUALITY
  • PART 4 DECISION MAKING IN FINANCE

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