Table of contents : Cover......Page 1 Title Page......Page 2 Copyright Page......Page 3 Contents......Page 6 List of ‘QMDM in Action’ case studies......Page 13 Preface......Page 14 Acknowledgements......Page 16 Chapter 1 Introduction......Page 22 The Use of Quantitative Techniques by Business......Page 23 The Role of Quantitative Techniques in Business......Page 29 Models in Quantitative Decision Making......Page 31 Using the Text......Page 36 Summary......Page 37 Learning objectives......Page 40 Some Basic Terminology......Page 41 Fractions, Proportions, Percentages......Page 42 Rounding and Significant Figures......Page 45 Common Notation......Page 47 Powers and Roots......Page 49 Logarithms......Page 51 Summation and Factorials......Page 55 Equations and Mathematical Models......Page 56 Graphs......Page 59 Real and Money Terms......Page 65 Worked Example......Page 66 Exercises......Page 70 Learning objectives......Page 72 A Business Example......Page 73 Bar Charts......Page 77 Pie Charts......Page 86 Frequency Distributions......Page 87 Percentage and Cumulative Frequencies......Page 90 Histograms......Page 92 Frequency Polygons......Page 95 Ogives......Page 96 Lorenz Curves......Page 97 Time-Series Graphs......Page 100 Z Charts......Page 103 Scatter Diagrams......Page 108 General Principles of Graphical Presentation......Page 111 Worked Example......Page 112 Summary......Page 116 Exercises......Page 120 Learning objectives......Page 126 A Business Example......Page 127 Why Are Statistics Needed?......Page 128 Measures of Average......Page 129 Measures of Variability......Page 133 Using the Statistics......Page 145 Calculating Statistics for Aggregated Data......Page 146 Index Numbers......Page 150 Worked Example......Page 160 Exercises......Page 161 Learning objectives......Page 166 Terminology......Page 168 The Multiplication Rule......Page 172 The Addition Rule......Page 173 A Business Application......Page 176 Probability Distributions......Page 180 The Binomial Distribution......Page 183 The Normal Distribution......Page 193 Worked Example......Page 202 Exercises......Page 205 Learning objectives......Page 208 The Decision Problem......Page 209 The Maximin Criterion......Page 212 The Minimax Regret Criterion......Page 213 Decision Making Using Probability Information......Page 214 Decision Trees......Page 216 The Value of Perfect Information......Page 222 Worked Example......Page 224 Summary......Page 226 Exercises......Page 229 Learning objectives......Page 232 Populations and Samples......Page 233 Sampling Distributions......Page 235 The Central Limit Theorem......Page 237 Characteristics of the Sampling Distribution......Page 238 Confidence Intervals......Page 239 Confidence Intervals for Proportions......Page 243 Interpreting Confidence Intervals......Page 245 Hypothesis Tests......Page 248 Tests on a Sample Mean......Page 256 Tests on the Difference Between Two Means......Page 258 Tests on Two Proportions or Percentages......Page 260 Tests on Small Samples......Page 261 Inferential Statistics Using a Computer Package......Page 264 x2 Tests......Page 266 Worked Example......Page 273 Exercises......Page 279 Learning objectives......Page 283 The Importance of Quality......Page 284 Techniques in Quality Management......Page 285 Statistical Process Control......Page 286 Control Charts......Page 288 Control Charts for Attribute Variables......Page 295 Pareto Charts......Page 296 Ishikawa Diagrams......Page 297 Worked Example......Page 300 Summary......Page 302 Exercises......Page 305 Learning objectives......Page 307 The Need for Forecasting......Page 308 Approaches to Forecasting......Page 311 Trend Projections......Page 314 Time-Series Models......Page 329 Worked Example......Page 346 Summary......Page 349 Exercises......Page 352 Learning objectives......Page 360 The Principles of Simple Linear Regression......Page 361 The Correlation Coefficient......Page 365 The Line of Best Fit......Page 368 Using the Regression Equation......Page 370 Further Statistical Evaluation of the Regression Equation......Page 373 Non-linear Regression......Page 384 Multiple Regression......Page 386 The Forecasting Process......Page 399 Worked Example......Page 402 Summary......Page 408 Exercises......Page 414 Learning objectives......Page 420 The Business Problem......Page 421 Formulating the Problem......Page 424 Graphical Solution to the LP Formulation......Page 427 Sensitivity Analysis......Page 433 Computer Solutions......Page 437 Dealing with More than Two Variables......Page 438 Extensions to the Basic LP Model......Page 441 Worked Example......Page 442 Summary......Page 444 Exercises......Page 447 Appendix: Solving LP Problems with Excel......Page 449 Learning objectives......Page 452 The Stock-Control Problem......Page 453 Costs Involved in Stock Control......Page 455 The Stock-Control Decision......Page 458 The Economic Order Quantity Model......Page 460 The Reorder Cycle......Page 461 Incorporating Lead Time......Page 462 Classification of Stock Items......Page 463 MRP and JIT......Page 467 Worked Example......Page 469 Exercises......Page 471 Learning objectives......Page 474 Characteristics of a Project......Page 475 Project Management......Page 476 Business Example......Page 477 Network Diagrams......Page 481 Developing the Network Diagram......Page 485 Using the Network Diagram......Page 489 Precedence Diagrams......Page 490 Gantt Charts......Page 491 Uncertainty......Page 493 Project Costs and Crashing......Page 496 Worked Example......Page 498 Summary......Page 500 Exercises......Page 501 Learning objectives......Page 506 The Principles of Simulation......Page 507 Business Example......Page 510 Developing the Simulation Model......Page 511 A Simulation Flowchart......Page 512 Using the Model......Page 515 Worked Example......Page 523 Summary......Page 527 Exercises......Page 533 Appendix: Simulation with Excel......Page 538 Learning objectives......Page 540 Interest......Page 541 Present Value......Page 544 Investment Appraisal......Page 547 Replacing Equipment......Page 553 Worked Example......Page 557 Summary......Page 559 Exercises......Page 562 Conclusion......Page 564 Appendix A Binomial Distribution......Page 565 Appendix B Areas in the Tail of the Normal Distribution......Page 570 Appendix C Areas in the Tail of the t Distribution......Page 571 Appendix D Areas in the Tail of the x2 Distribution......Page 572 Appendix E Areas in the Tail of the F Distribution, 0.05 Level......Page 573 Appendix F Solutions to Chapter Progress Check Questions......Page 575 Index......Page 591