The logic of logistics: theory, algorithms, and applications for logistics management
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| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York ; Heidelberg ; Dordrecht ; London
Springer
[2014]
|
| Edition: | Third edition |
| Series: | Springer series in operations research and financial engineering
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturverzeichnis Seite 421-439 |
| Physical Description: | xx, 447 Seiten Diagramme |
| ISBN: | 9781461491484 |
Staff View
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| adam_text | Contents 1 Introduction 1.1 What Is Logistics Management? ....................................................... 1.2 Managing Cost and Uncertainty ....................................................... 1.3 Examples............................................................................................... 1.4 Modeling Logistics Problems ............................................................. 1.5 Logistics and Supply Chain in Practice.............................................. 1.6 Evaluation of Solution Techniques .................................................... 1.7 Additional Topics.................................................................................. 1.8 Book Overview...................................................................................... Part I Performance Analysis Techniques 2 Convexity and Supermodularity 2.1 Convex Analysis.................................................................................. 2.1.1 Convex Sets and Convex Functions........................................ 2.1.2 Continuity and Differentiability Properties............................ 2.1.3 Characterization of Convex Functions.................................. 2.1.4 Convexity and Optimization ................................................. 2.2 Supermodularity.................................................................................. 2.3 Discrete Convex Analysis................................................................... 2.3.1 L^-Convexity............................................................................. 2.3.2
A^-Convexity............................................................................. 2.4 Exercises ............................................................................................... 1 1 3 4 7 8 9 10 11 13 15 15 15 18 23 25 27 35 36 39 42 xi
xii Contents 3 Game Theory Noncooperative Game Theory...................... · · .................................. 3.1.1 Definition and Existence of Nash Equilibrium...................... 3.1.2 Uniqueness of Nash Equilibrium ............................................ 3.2 Cooperative Game Theory..................................................................... 3.2.1 Core .............................................................................................. 3.2.2 Nucleolus..................................................................................... 3.2.3 Shapley Value............................................................................... 3.3 Exercises ................................................................................................. 3.1 4 Worst-Case Analysis 4.1 4.2 Introduction.............................................................................................. The Bin-Packing Problem..................................................................... 4.2.1 First-Fit and Best-Fit............................................................... 4.2.2 First-Fit Decreasing and Best-Fit Decreasing...................... 4.3 The Traveling Salesman Problem......................................................... 4.3.1 A Minimum Spanning Tree-Based Heuristic.......................... 4.3.2 The Nearest-Insertion Heuristic................................................ 4.3.3 Christofides’ Heuristic............................................... 4.3.4 Local Search Heuristics............................ 4.4 Exercises
................................................................................................ 5 Average-Case Analysis 5.1 Introduction............................................................................................. 5.2 The Bin-Packing Problem..................................................................... 5.3 The Traveling Salesman Problem........................................................ 5.4 Exercises .......................................................... 6 Mathematical Programming-Based Bounds 6.1 Introduction................................ 73 75 78 80 81 85 85 86 91 96 99 99 6.2 An Asymptotically Tight Linear Program . ........................................... 100 6.3 Lagrangian Relaxation............................................................................... 103 6.4 Lagrangian Relaxation and the Traveling Salesman Problem .... 105 6.4.1 The 1-Tree Lower Bound .............................................................. 106 6.4.2 The 1-Tree Lower Bound and Lagrangian Relaxation .... 107 6.5 The Worst-Case Effectiveness of the 1-Tree Lower Bound............ 108 6.6 Exercises ............................................. 112 Part II Inventory Models 7 Economic Lot Size Models with Constant Demands 7.1 Introduction..................................... 7.1.1 The Economic Lot Size Model 115 117 117 117
Contents 7.1.2 The Finite-Horizon Model....................................................... 7.1.3 Power-of-Two Policies............................................................. 7.2 Multi-Item Inventory Models............................................................... 7.2.1 Introduction ............................................................................. 7.2.2 Notation and Assumptions .................................................... 7.2.3 Worst-Case Analyses................................................................. 7.3 A Single-Warehouse Multiretailer Model............................................ 7.3.1 Introduction ............................................................................. 7.3.2 Model and Analysis................................................................. 7.4 Exercises ................................................................................................ xiii 119 121 122 122 124 125 129 129 130 134 8 Economic Lot Size Models with Varying Demands 137 8.1 The Wagner-Whitin Model................................................................ 137 8.2 Models with Capacity Constraints.................................................... 143 8.3 Multi-Item Inventory Models............................................................. 146 8.4 Single-Item Models with Pricing ....................................................... 148 8.5 Exercises ............................................................................................... 150 9 Stochastic Inventory Models 151 9.1
Introduction............................................................................................ 151 9.2 Single-Period Models............................................................................ 152 9.2.1 The Model ................................................................................ 152 9.3 Finite-Horizon Models......................................................................... 153 9.3.1 Model Description.................................................................... 153 9.3.2 К-Convex Functions................................................................. 155 9.3.3 Main Results............................................................................. 158 9.4 Quasiconvex Loss Functions................................................................ 159 9.5 Infinite-Horizon Models ...................................................................... 163 9.6 Models with Positive Lead Times....................................................... 169 9.7 Multi-Echelon Systems......................................................................... 172 9.8 Exercises ............................................................................................... 174 10 Integration of Inventory and Pricing 177 10.1 Introduction............................................................................................ 177 10.2 Demand Models .................................................................................. 178 10.3 Single-Period Stochastic Models.......................................................... 179 10.4 Finite-
Horizon Models......................................................................... 183 10.4.1 Model Description................................................................... 183 10.4.2 Symmetric Jf-Convex Functions .......................................... 185 10.4.3 Additive Demand Functions.................................................... 190 10.4.4 General Demand Functions.................................................... 193 10.4.5 Special Case: Zero Fixed Ordering Cost............................... 194 10.5 Alternative Approach to the Optimality of (s, S, p) Policies .... 194 10.6 Extensions and Challenges.......................................................................2θθ
xiv Contents 10.7 Risk-Averse Inventory Models.............................................................. 201 10.7.1 Expected Utility Risk-Averse Models..........................................203 10.7.2 Exponential Utility Risk-Averse Models................................... 205 10.8 Exercises ................................................................................................ Part III Competition, Coordination and Design Models 211 11 Supply Chain Competition and Collaboration Models 213 11.1 Inventory and Pricing Competition . . ...................................................... 213 11.2 Inventory Centralization Games............................................................ 11.2.1 Model........................................................................................... 217 11.2.2 Inventory Games witha Linear Ordering Cost ......................... 219 11.2.3 Inventory Games withQuantity Discounts.................................. 222 11.3 Exercises .....................................................................................................223 229 Introduction.............................................................................................. 229 Wholesale Price Contracts......................................................................... 231 Buy-Back Contracts.................................................................................. 233 Revenue-Sharing Contracts...................................................................... 234 Portfolio Contracts........................................ 235 Exercises
..................................................................................................... 239 12 Procurement Contracts 12.1 12.2 12.3 12.4 12.5 12.6 13 Process Flexibility 241 13.1 Introduction.................................................................................................. 241 13.2 Supermodularity and Incremental Benefitsof Long Chains.............. 244 13.2.1 Supermodularity in Arc Capacities............................................. 245 13.2.2 Incremental Benefits in Long Chains.......................................... 249 13.3 Characterizing the Performance of Long Chains.................................... 250 13.3.1 Decomposition of a Long Chain.................................................... 251 13.3.2 Characterization and Optimality................................................. 253 13.3.3 Computing the Performanceof a Long Chain............................ 254 13.4 Performance of Long Chains.................. 257 13.5 Extensions................................................. 257 13.6 Exercises ........................................ 262 14 Supply Chain Planning Models 14.1 Introduction..................................................... 14.2 The Shipper Problem...................................................... 14.2.1 The Shipper Model............................................... 14.2.2 A Set-Partitioning Approach...................................... 14.2.3 Structural Properties............................................ 2θ3 2θ3 2θ^ 2gg 2gg 97η
Contents XV 14.2.4 Solution Procedure....................................................................... 271 14.2.5 Computational Results................................................................. 274 14.3 Safety Stock Optimization...................................................................... 279 14.4 Exercises .................................................................................................... 280 15 Facility Location Models 283 15.1 Introduction................................................................................................. 283 15.2 An Algorithm for the p-Median Problem............................................. 284 15.3 An Algorithm for the Single-Source Capacitated Facility Location Problem............................................................................... 287 15.4 A Distribution System Design Problem................................................. 291 15.5 The Structure of the Asymptotic Optimal Solution............................ 296 15.6 Exercises .................................................................................................... 297 Part IV Vehicle Routing Models 299 16 The 16.1 16.2 16.3 16.4 16.5 Capacitated VRP with Equal Demands 301 Introduction................................................................................................. 301 Worst-Case Analysis of Heuristics........................................................... 303 The Asymptotic Optimal Solution Value............................................... 307 Asymptotically Optimal
Heuristics........................................................ 308 Exercises .................................................................................................... 312 17 The 17.1 17.2 17.3 17.4 Capacitated VRP with Unequal Demands 313 Introduction................................................................................................. 313 Heuristics for the CVRP...........................................................................313 Worst-Case Analysis of Heuristics........................................................... 317 The Asymptotic Optimal Solution Value............................................... 320 17.4.1 A Lower Bound.............................................................................. 321 17.4.2 An Upper Bound........................................................................... 324 Probabilistic Analysis of Classical Heuristics......................................... 326 17.5.1 A Lower Bound.............................................................................. 328 17.5.2 The UOP(a) Heuristic..................................................................330 The Uniform Model ................................................................................. 332 The Location-Based Heuristic..................................................................335 Rate of Convergence to the Asymptotic Value......................................337 Exercises .................................................................................................... 338 17.5 17.6 17.7 17.8 17.9 18 The 18.1 18.2 18.3
18.4 VRP with Time-Window Constraints 341 Introduction................................................................................................. 341 The Model ................................................................................................. 341 The Asymptotic Optimal Solution Value............................................... 343 An Asymptotically Optimal Heuristic .................................................. 349 18.4.1 The Location-Based Heuristic..................................................... 349
Contents xvi 18.4.2 A Solution Method for CVLPTW ......................................... 351 18.4.3 Implementation.............................................................................. 353 18.4.4 Numerical Study....................................................................... 353 18.5 Exercises ............................................................................................... 356 19 Solving the VRP Using a Column-Generation Approach 359 19.1 Introduction........................... 359 19.2 Solving a Relaxation of the Set-Partitioning Formulation .................... 360 19.3 Solving the Set-Partitioning Problem...................................................... 364 19.3.1 Identifying Violated Clique Constraints....................................366 19.3.2 Identifying Violated Odd Hole Constraints............ ................... 366 19.4 The Effectiveness of the Set-Partitioning Formulation ...................... 367 19.4.1 Motivation................................................................................. 368 19.4.2 Proof of Theorem 19.4.1............................................................. 369 19.5 Exercises .................................................................................................... 372 Part V Logistics Algorithms in Practice 20 Network Planning 20.1 20.2 20.3 20.4 20.5 20.6 403 Introduction..................... 403 The Setting.............................................................................. 404 Literature Review ........................................ 40g The Problem in New York
City............................... 407 Distance and Time Estimation................................................................ 4O9 The Routing Algorithm..................... 444 Additional Constraints and Features....................................................... 445 The Interactive Mode ......................................... 44y Data, Implementation, and Results . . . . 44g References Index 379 Introduction..................................................................................................379 Network Design........................................................................................... 380 Strategic Safety Stock............................................................................... 391 Resource Allocation.............................................................................. 397 Summary.............................. 400 Exercises ..................................................................................................... 402 21 A Case Study: School Bus Routing 21.1 21.2 21.3 21.4 21.5 21.6 21.7 21.8 21.9 377 421 „ 441
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| indexdate | 2025-02-20T06:43:29Z |
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| isbn | 9781461491484 |
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| spellingShingle | Simchi-Levi, David Chen, Xin 1967- Bramel, Julien The logic of logistics theory, algorithms, and applications for logistics management Mathematik Industrial engineering Economics, Mathematical Mathematics Unternehmen (DE-588)4061963-1 gnd Logistikplanung (DE-588)4246866-8 gnd Logistik (DE-588)4036210-3 gnd Operations Research (DE-588)4043586-6 gnd |
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| title | The logic of logistics theory, algorithms, and applications for logistics management |
| title_auth | The logic of logistics theory, algorithms, and applications for logistics management |
| title_exact_search | The logic of logistics theory, algorithms, and applications for logistics management |
| title_full | The logic of logistics theory, algorithms, and applications for logistics management David Simchi-Levi ; Xin Chen ; Julien Bramel |
| title_fullStr | The logic of logistics theory, algorithms, and applications for logistics management David Simchi-Levi ; Xin Chen ; Julien Bramel |
| title_full_unstemmed | The logic of logistics theory, algorithms, and applications for logistics management David Simchi-Levi ; Xin Chen ; Julien Bramel |
| title_short | The logic of logistics |
| title_sort | the logic of logistics theory algorithms and applications for logistics management |
| title_sub | theory, algorithms, and applications for logistics management |
| topic | Mathematik Industrial engineering Economics, Mathematical Mathematics Unternehmen (DE-588)4061963-1 gnd Logistikplanung (DE-588)4246866-8 gnd Logistik (DE-588)4036210-3 gnd Operations Research (DE-588)4043586-6 gnd |
| topic_facet | Mathematik Industrial engineering Economics, Mathematical Mathematics Unternehmen Logistikplanung Logistik Operations Research |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027275512&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT simchilevidavid thelogicoflogisticstheoryalgorithmsandapplicationsforlogisticsmanagement AT chenxin thelogicoflogisticstheoryalgorithmsandapplicationsforlogisticsmanagement AT brameljulien thelogicoflogisticstheoryalgorithmsandapplicationsforlogisticsmanagement |
Indexes
THWS Schweinfurt Teilbibliothek Logistik
| Call Number: |
2350 QH 463 S588(3) |
|---|---|
| Copy 1 | nicht ausleihbar Available Place a Hold |