Free Quantitative Methods for Decision Making Using Excel

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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

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Operations Research - KSU ~ Contents vii 4.13 The Two-Phase Simplex Method 178 4.14 Unrestricted-in-Sign Variables 184 4.15 Karmarkar's Method for Solving LPs 190 4.16 Multiattribute Decision Making in the Absence of Uncertainty: Goal Programming 191 4.l7 Using the Excel Solver to Solve LPs 202 5 Sensitivity Analysis: An Applied Approach 227 5.1 A Graphical Introduction to Sensitivity Analysis 227

Quantitative Methods for Decision Making ~ • The subject Quantitative Methods for Decision-Making consists of two parts: the 1st part in the second term and the 2nd part in the third term. There will be a single overall mark for the subject which will be the average of the two parts , but only if the student has obtained at least 4 out of 10 in each term ; the subject is otherwise automatically failed.