Simulation modeling and Arena:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
c 2010
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XIX, 573 S. Ill., graph. Darst. |
| ISBN: | 9780470097267 |
Internformat
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| 245 | 1 | 0 | |a Simulation modeling and Arena |c Manuel D. Rossetti |
| 264 | 1 | |a Hoboken, NJ |b Wiley |c c 2010 | |
| 300 | |a XIX, 573 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 630 | 0 | 4 | |a Arena (Computer file) |
| 650 | 4 | |a Simulation methods | |
| 650 | 4 | |a Discrete-time systems | |
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Datensatz im Suchindex
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| adam_text | SIMULATION MODELING AND ARENA MANUEL D. ROSSETTI UNIVERSITY OF ARKANSAS
WILEY JOHN WILEY & SONS, INC. TABLE OF CONTENTS 1 SIMULATION MODELING
1.1 WHY SIMULATE? 2 1.2 TYPES OF COMPUTER SIMULATION 3 1.3 HOW THE
DISCRETE-EVENT CLOCK WORKS 5 1.4 RANDOMNESS IN SIMULATION 9 1.5
SIMULATION LANGUAGES 9 1.6 GETTING STARTED WITH ARENA* 10 1.6.1 A
DRIVE-THROUGH PHARMACY 12 1.6.2 MODELING THE SYSTEM 12 1.6.3
IMPLEMENTING THE MODEL IN ARENA* 15 1.6.4 SPECIFY THE ARRIVAL PROCESS 16
1.6.5 SPECIFY THE RESOURCES 17 1.6.6 SPECIFY THE PROCESS 18 1.6.7
SPECIFY RUN PARAMETERS 20 1.6.8 ANALYZE THE RESULTS 21 1.6.9 AUGMENT THE
ANIMATION 24 1.7 GETTING HELP IN ARENA* 32 1.8 SIMULATION METHODOLOGY 33
1.9 ORGANIZATION OF THE BOOK 38 EXERCISES 39 XV XV L TABLE OF CONTENTS 2
BASIC PROCESS MODELING 42 2. 1 ENTITIES, ATTRIBUTES, AND VARIABLES 43
2.2 CREATING AND DISPOSING OF ENTITIES 45 2.3 DEFINING VARIABLES AND
ATTRIBUTES 48 2.4 PROCESSING ENTITIES 52 2.5 ATTRIBUTES, VARIABLES, AND
SOME I/O 54 2.5.1 MODIFYING THE PHARMACY MODEL 54 2.5.2 USING THE ASSIGN
MODULE 57 2.5.3 USING THE READWRITE MODULE 59 2.5.4 USING THE RECORD
MODULE 62 2.5.5 ANIMATING A VARIABLE 63 2.5.6 RUNNING THE MODEL 65 2.6
FLOW OF CONTROL IN ARENA* 67 2.6.1 LOGICAL AND PROBABILISTIC CONDITIONS
68 2.6.2 ITERATIVE LOOPING 72 2.6.3 EXAMPLE: ITERATIVE LOOPING,
EXPRESSIONS, AND SUBMODELS 73 2.6.3.1 BUILDING THE MODEL 74 2.6.3.2
VARIABLE MODULE 75 2.6.3.3 EXPRESSION MODULE 77 2.6.3.4 HIERARCHICAL
SUBMODELS 79 2.6.3.5 WHILE-ENDWHILE BLOCKS 80 2.6.3.6 PROCESS MODULE
DELAY OPTION 82 2.7 BATCHING AND SEPARATING ENTITIES 87 2.7.1
CONCEPTUALIZING THE MODEL 88 2.7.2 BUILDING THE MODEL 88 2.8 SIMAN AND
ARENA S RUN CONTROLLER 97 2.8.1 AN ARENA* PROGRAM 97 2.8.2 USING THE RUN
CONTROLLER 101 2.9 SUMMARY 108 EXERCISES 110 MODELING RANDOMNESS IN
SIMULATION 113 3.1 RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS 114
3.2 INPUT DISTRIBUTION MODELING 120 3.2.1 INPUT MODELING EXAMPLE 122
3.2.2 GRAPHICAL AND STATISTICAL ANALYSIS OF THE DATA 122 3.2.3 USING
ARENA S INPUT ANALYZER 137 3.2.4 ADDITIONAL INPUT MODELING CONCEPTS 153
3.3 GENERATING RANDOM NUMBERS 155 3.3.1 RANDOM NUMBER GENERATORS 157
3.3.1.1 TESTING RANDOM NUMBER GENERATORS 163 3.3.2 GENERATING RANDOM
VARIATES 164 3.3.3 MODELING RANDOMNESS IN ARENA* 173 3.3.4
NON-STATIONARY PROCESSES 186 3.4 SUMMARY 193 EXERCISES 193 TABLE OF
CONTENTS XVII APPENDIX 1: USING MINITAB AND BESTFIT DURING INPUT
MODELING 200 APPENDIX 2: BASIC SPREADSHEET SIMULATION CONCEPTS 205
ANALYZING SIMULATION OUTPUT 215 4.1 TYPES OF STATISTICAL VARIABLES 216
4.2 TYPES OF SIMULATION WITH RESPECT TO OUTPUT ANALYSIS 220 4.3 ANALYSIS
OF FINITE-HORIZON SIMULATIONS 222 4.3.1 DETERMINING THE NUMBER OF
REPLICATIONS 223 4.3.2 FINITE-HORIZON EXAMPLE IN ARENA* 226 4.3.3
SEQUENTIAL SAMPLING FOR FINITE-HORIZON SIMULATIONS IN ARENA* 233 4.3.4
USING THE ARENA-GENERATED ACCESS FILE 235 4.4 ANALYSIS OF INFINITE
HORIZON SIMULATIONS 240 4.4.1 ASSESSING THE EFFECT OF INITIAL CONDITIONS
245 4.4.2 PERFORMING THE METHOD OF REPLICATION-DELETION IN ARENA* 250
4.4.3 LOOKING FOR THE WARM-UP PERIOD IN THE OUTPUT ANALYZER 253 4.4.4
BATCH MEANS METHOD 264 4.4.5 PERFORMING THE METHOD OF BATCH MEANS IN
ARENA* 267 4.5 COMPARING SYSTEM CONFIGURATIONS 270 4.5.1 COMPARING TWO
SYSTEMS 271 4.5.1.1 ANALYZING TWO INDEPENDENT SAMPLES 272 4.5.1.2
ANALYZING TWO DEPENDENT SAMPLES 274 4.5.1.3 EXAMPLE OF CRN IN ARENA* 275
4.5.1.4 IMPLEMENTING INDEPENDENT SAMPLING IN ARENA* 284 4.5.2 ANALYZING
MULTIPLE SYSTEMS 285 4.5.2.1 SENSITIVITY ANALYSIS USING ARENA S PROCESS
ANALYZER 286 4.5.2.2 MULTIPLE COMPARISONS WITH THE BEST IN ARENA* 292
4.6 SUMMARY 296 EXERCISES 296 5 MODELING QUEUEING AND INVENTORY SYSTEMS
303 5.1 SINGLE-LINE QUEUEING STATIONS 304 5.1.1 DERIVING FORMULAS FOR
MARKOVIAN SINGLE-QUEUE SYSTEMS 309 5.1.2 EXAMPLES AND APPLICATIONS OF
QUEUEING ANALYSIS 314 5.1.3 NON-MARKOVIAN QUEUES AND APPROXIMATIONS 324
5.1.4 SIMULATING SINGLE QUEUES IN ARENA* 325 5.1.4.1 EXAMPLE: MACHINE
INTERFERENCE OPTIMIZATION MODEL 325 5.1.4.2 USING OPTQUEST ON THE
MACHINE INTERFERENCE MODEL 331 5.1.4.3 EXAMPLE: WALK-IN HEALTH CARE
CLINIC 333 5.2 NETWORKS OF QUEUEING STATIONS 340 5.2.1 EXAMPLE: TESTING
AND REPAIR SHOP 341 5.2.2 STATION, ROUTE, AND SEQUENCE MODULES 343 5.3
INVENTORY SYSTEMS 351 5.3.1 MODELING AN (R, Q) INVENTORY CONTROL POLICY
352 5.3.2 MODELING A MULTIECHELON INVENTORY SYSTEM 361 5.4 SUMMARY 367
EXERCISES 368 ENTITY MOVEMENT AND MATERIAL HANDLING CONSTRUCTS 379 6.1
CONSTRAINED TRANSFER WITH RESOURCES 380 6.1.1 IMPLEMENTING
RESOURCE-CONSTRAINED TRANSFER 381 6.1.2 ANIMATING RESOURCE-CONSTRAINED
TRANSFER 388 6.2 CONSTRAINED TRANSFER WITH TRANSPORTERS 391 6.2.1
TEST-AND-REPAIR SHOP WITH WORKERS AS TRANSPORTERS 394 6.2.2 ANIMATING
TRANSPORTERS 398 6.3 MODELING SYSTEMS WITH CONVEYORS 401 6.3.1
TEST-AND-REPAIR SHOP WITH CONVEYORS 405 6.3.2 ANIMATING CONVEYORS 409
6.3.3 MISCELLANEOUS ISSUES IN CONVEYOR MODELING 411 6.3.3.1 ACCUMULATING
CONVEYORS 411 6.3.3.2 MERGING AND DIVERGING CONVEYORS 413 6.3.3.3
PROCESSING WHILE ON THE CONVEYOR 416 6.3.3.4 RECIRCULATION CONVEYORS 416
6.4 MODELING GUIDED-PATH TRANSPORTERS 417 6.5 SUMMARY 425 EXERCISES 426
MISCELLANEOUS TOPICS IN ARENA* MODELING 432 7.1 ADVANCED RESOURCE
MODELING 433 7.1.1 IGNORE 437 7.1.2 WAIT 438 7.1.3 PREEMPT 438 7.1.4
RUNNING THE SCHEDULED CAPACITY CHANGE MODEL 439 7.1.5 MODELING RESOURCE
FAILURE 442 7.2 TABULATING FREQUENCIES USING THE STATISTIC MODULE 445
7.3 ENTITY AND RESOURCE COSTING 447 7.4 MISCELLANEOUS MODELING CONCEPTS
454 7.4.1 PICKING STATIONS 454 7.4.2 GENERIC STATION MODELING 458 7.4.3
PICKING UP AND DROPPING OFF ENTITIES 462 7.5 PROGRAMMING CONCEPTS IN
ARENA* 470 7.5.1 WORKING WITH FILES, EXCEL, AND ACCESS 470 7.5.2 READING
FROM A TEXT FILE 470 7.5.3 READING A TWO-DIMENSIONAL ARRAY 473 7.5.4
READING FROM AN EXCEL NAMED RANGE 473 7.5.5 READING MODEL VARIABLES FROM
MICROSOFT ACCESS 477 7.5.6 USING VISUAL BASIC FOR APPLICATIONS 481 7.5.7
USING VBA 482 7.5.8 THE VBA MODULE AND USER-DEFINED FUNCTIONS 486 7.5.9
GENERATING CORRELATED RANDOM VARIATES 494 7.6 SUMMARY 497 EXERCISES 497
TABLE OF CONTENTS XIX 8 APPLICATION OF SIMULATION MODELING 502 8.1
PROBLEM DESCRIPTION 503 8.1.1 ROCKWELL SOFTWAREFLIE 7TH ANNUAL CONTEST
PROBLEM: SM TESTING 504 8.2 DETAILED SOLUTION 509 8.2.1 ANSWERING THE
BASIC MODELING QUESTIONS 509 8.2.2 DETAILED MODELING 513 8.2.2.1
CONVEYOR AND STATION MODELING 514 8.2.2.2 MODELING SAMPLES AND THE TEST
CELLS 516 8.2.2.3 MODELING SAMPLE HOLDERS AND THE LOAD/UNLOAD AREA 522
8.2.2.4 PERFORMANCE MEASURE MODELING 524 8.2.2.5 SIMULATION HORIZON AND
RUN PARAMETERS 526 8.2.3 PRELIMINARY EXPERIMENTAL ANALYSIS 529 8.2.4
FINAL EXPERIMENTAL ANALYSIS AND RESULTS 530 8.2.4.1 USING THE PROCESS
ANALYZER ON THE PROBLEM 531 8.2.4.2 USING OPTQUEST ON THE PROBLEM 535
8.2.4.3 INVESTIGATING THE NEW LOGIC ALTERNATIVE 536 8.3 SENSITIVITY
ANALYSIS 538 8.4 COMPLETING THE PROJECT 538 8.5 SOME FINAL THOUGHTS 540
EXERCISES 542 BIBLIOGRAPHY 543 APPENDICES 548 INDEX 567
|
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| discipline | Informatik Mathematik |
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| language | English |
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| spelling | Rossetti, Manuel D. 1962- Verfasser (DE-588)138654735 aut Simulation modeling and Arena Manuel D. Rossetti Hoboken, NJ Wiley c 2010 XIX, 573 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Arena (Computer file) Simulation methods Discrete-time systems ARENA 7 (DE-588)7544044-1 gnd rswk-swf Computersimulation (DE-588)4148259-1 gnd rswk-swf Computersimulation (DE-588)4148259-1 s ARENA 7 (DE-588)7544044-1 s DE-604 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017627498&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Rossetti, Manuel D. 1962- Simulation modeling and Arena Arena (Computer file) Simulation methods Discrete-time systems ARENA 7 (DE-588)7544044-1 gnd Computersimulation (DE-588)4148259-1 gnd |
| subject_GND | (DE-588)7544044-1 (DE-588)4148259-1 |
| title | Simulation modeling and Arena |
| title_auth | Simulation modeling and Arena |
| title_exact_search | Simulation modeling and Arena |
| title_full | Simulation modeling and Arena Manuel D. Rossetti |
| title_fullStr | Simulation modeling and Arena Manuel D. Rossetti |
| title_full_unstemmed | Simulation modeling and Arena Manuel D. Rossetti |
| title_short | Simulation modeling and Arena |
| title_sort | simulation modeling and arena |
| topic | Arena (Computer file) Simulation methods Discrete-time systems ARENA 7 (DE-588)7544044-1 gnd Computersimulation (DE-588)4148259-1 gnd |
| topic_facet | Arena (Computer file) Simulation methods Discrete-time systems ARENA 7 Computersimulation |
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