List of Figures |
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xi | |
List of Tables |
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xxi | |
Preface |
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xxv | |
Acknowledgments |
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xxix | |
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1 | (26) |
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1 | (5) |
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1.2 Services as a Percent of the Economy |
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6 | (4) |
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1.3 Public versus Private Service Delivery |
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10 | (1) |
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11 | (2) |
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1.5 Key Service Decisions |
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13 | (3) |
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1.6 Philosophy about Models |
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16 | (6) |
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22 | (3) |
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25 | (1) |
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26 | (1) |
Part I Methodological Foundations |
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27 | (156) |
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29 | (82) |
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30 | (1) |
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2.2 Five Key Elements of Optimization |
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31 | (3) |
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2.3 Taxonomy of Optimization Models |
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34 | (3) |
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2.4 You Probably Have Seen One Already |
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37 | (4) |
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41 | (19) |
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60 | (5) |
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65 | (15) |
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2.8 Multiple Objective Problems |
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80 | (21) |
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2.9 Mark's Ten Rules of Formulating Problems |
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101 | (5) |
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106 | (2) |
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108 | (3) |
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111 | (72) |
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111 | (8) |
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3.2 What Is Queueing Theory? |
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119 | (3) |
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3.3 Key Performance Metrics for Queues and Little's Law |
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122 | (2) |
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3.4 A Framework for Markovian Queues |
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124 | (29) |
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3.5 Key Results for Non-Markovian Queues |
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153 | (2) |
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3.6 Solving Queueing Models Numerically |
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155 | (15) |
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3.7 When Conditions Change Over Time |
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170 | (5) |
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175 | (1) |
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176 | (6) |
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182 | (1) |
Part II Application Areas |
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183 | (394) |
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4 Location And Districting Problems In Services |
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185 | (100) |
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186 | (3) |
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4.2 Taxonomy of Location Problems |
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189 | (14) |
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203 | (23) |
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4.4 Median ProblemsMinimizing the Demand-Weighted Average Distance |
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226 | (10) |
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4.5 Multi-Objective Models |
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236 | (8) |
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244 | (18) |
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4.7 Franchise Location Problems |
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262 | (8) |
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270 | (1) |
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271 | (10) |
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281 | (4) |
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5 Inventory Decisions In Services |
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285 | (56) |
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5.1 Why Is Inventory in a Service Modeling Book? |
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285 | (2) |
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5.2 EOQA Basic Inventory Model |
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287 | (5) |
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5.3 Extensions of the EOQ Model |
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292 | (12) |
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304 | (6) |
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5.5 Uncertain Demand and Lead Times |
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310 | (6) |
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5.6 Newsvendor Problem and Applications |
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316 | (8) |
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324 | (1) |
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325 | (14) |
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339 | (2) |
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6 Resource Allocation Problems And Decisions In Services |
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341 | (36) |
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6.1 Example Resource Allocation Problems |
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342 | (4) |
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6.2 How to Formulate an Assignment or Resource Allocation Problem |
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346 | (4) |
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350 | (8) |
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6.4 Assigning Students to Freshman Seminars |
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358 | (5) |
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6.5 Assigning Students to Intersession Courses |
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363 | (6) |
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6.6 Improving the Assignment of Zip Codes to Congressional Districts |
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369 | (3) |
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372 | (1) |
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373 | (2) |
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375 | (2) |
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7 Short-Term Workforce Scheduling |
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377 | (38) |
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7.1 Overview of Scheduling |
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377 | (3) |
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380 | (5) |
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7.3 Extensions of the Simple Model |
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385 | (5) |
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7.4 More Difficult Extensions |
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390 | (4) |
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7.5 Linking Scheduling to Service |
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394 | (10) |
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7.6 Time-Dependent Queueing Analyzer |
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404 | (2) |
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7.7 Assigning Specific Employees to Shifts |
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406 | (2) |
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408 | (1) |
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409 | (4) |
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413 | (2) |
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8 Long-Term Workforce Planning |
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415 | (44) |
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8.1 Why Is Long-Term Workforce Planning an Issue? |
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416 | (2) |
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418 | (3) |
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421 | (6) |
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427 | (5) |
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8.5 Linking to Project Scheduling |
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432 | (14) |
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8.6 Linking to Personnel Training and Planning in General |
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446 | (3) |
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8.7 Simple Model of Training |
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449 | (3) |
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452 | (2) |
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454 | (4) |
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458 | (1) |
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9 Priority Services, Call Center Design, And Customer Scheduling |
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459 | (56) |
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459 | (5) |
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9.2 Priority Queueing for Emergency and Other Services |
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464 | (11) |
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475 | (17) |
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9.4 Scheduling in Services |
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492 | (10) |
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502 | (2) |
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504 | (8) |
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512 | (3) |
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10 Vehicle Routing And Services |
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515 | (52) |
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10.1 Example Routing Problems |
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516 | (1) |
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10.2 Classification of Routing Problems |
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517 | (1) |
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518 | (9) |
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10.4 The Traveling Salesman Problem |
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527 | (21) |
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10.5 Vehicle Routing Problems |
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548 | (9) |
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557 | (3) |
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560 | (4) |
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564 | (3) |
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567 | (10) |
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568 | (1) |
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568 | (4) |
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11.3 Other Applications in Services |
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572 | (3) |
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575 | (1) |
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575 | (2) |
Index |
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577 | |