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Titlebook: Operations Research in the Airline Industry; Gang Yu Book 1998 Springer Science+Business Media New York 1998 Transport.algorithms.operatio

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發(fā)表于 2025-3-21 17:35:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Operations Research in the Airline Industry
編輯Gang Yu
視頻videohttp://file.papertrans.cn/703/702164/702164.mp4
叢書名稱International Series in Operations Research & Management Science
圖書封面Titlebook: Operations Research in the Airline Industry;  Gang Yu Book 1998 Springer Science+Business Media New York 1998 Transport.algorithms.operatio
描述260 2 Crew Legalities and Crew Pairing Repair 264 3 Model and Mathematical Formulation 266 4 Solution Methodology 271 5 Computational Experiences 277 6 Conclusion 285 REFERENCES 286 10 THE USE OF OPTIMIZATION TO PERFORM AIR TRAFFIC FLOW MANAGEMENT Kenneth Lindsay, E. Andrew Boyd, George Booth, and Charles Harvey 287 1 Introduction 288 2 The Traffic Flow Management (TFM) Problem 289 3 Recent TFM Optimization Models 292 4 The Time Assignment Model (TAM) 302 5 Summary and Conclusions 307 REFERENCES 309 11 THE PROCESSES OF AIRLINE SYSTEM OPERATIONS CONTROL Seth C. Grandeau, Michael D. Clarke, and Dennis F.X. Mathaisel 312 1 Introduction 313 2 The Four Phases of Airline Schedule Development 315 The Airline Operations Control Center (OCC) 3 320 4 Analysis of Operational Problems 331 5 Areas For Improvement 352 6 Case Study: PT Garuda Indonesia Airlines 357 REFERENCES 368 12 THE COMPLEX CONFIGURATION MODEL Bruce W. Patty and Jim Diamond 370 1 Introduction 370 Problem Description 2 371 Problem Formulation 3 375 4 Model Implementation 379 ix Contents 383 5 Summary REFERENCES 383 13 INTEGRATED AIRLINE SCHEDULE PLANNING Cynthia Barnhart, Fang Lu, and Rajesh Shenoi 384 1 Introduction 385 2 Fle
出版日期Book 1998
關(guān)鍵詞Transport; algorithms; operations research; optimization; scheduling; simulation; traffic simulation
版次1
doihttps://doi.org/10.1007/978-1-4615-5501-8
isbn_softcover978-1-4613-7513-5
isbn_ebook978-1-4615-5501-8Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer Science+Business Media New York 1998
The information of publication is updating

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Book 19986 Conclusion 285 REFERENCES 286 10 THE USE OF OPTIMIZATION TO PERFORM AIR TRAFFIC FLOW MANAGEMENT Kenneth Lindsay, E. Andrew Boyd, George Booth, and Charles Harvey 287 1 Introduction 288 2 The Traffic Flow Management (TFM) Problem 289 3 Recent TFM Optimization Models 292 4 The Time Assignment Model
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0884-8289 ences 277 6 Conclusion 285 REFERENCES 286 10 THE USE OF OPTIMIZATION TO PERFORM AIR TRAFFIC FLOW MANAGEMENT Kenneth Lindsay, E. Andrew Boyd, George Booth, and Charles Harvey 287 1 Introduction 288 2 The Traffic Flow Management (TFM) Problem 289 3 Recent TFM Optimization Models 292 4 The Time Assignm
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A Large-Scale Neural Network for Airline Forecasting in Revenue Management,ety of issues related to the system application. Comparisons of this technique to other traditional techniques are then made on actual airline data to show that improvements in forecast error can be significant.
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