Operations management: strategy and analysis
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Reading, Mass. [u.a.]
Addison-Wesley
1999
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| Edition: | 5. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XXXII, 880 S. Ill., graph. Darst. |
| ISBN: | 0201331187 020147431X |
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MARC
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| 100 | 1 | |a Krajewski, Lee J. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Operations management |b strategy and analysis |c Lee J. Krajewski ; Larry P. Ritzman |
| 250 | |a 5. ed. | ||
| 264 | 1 | |a Reading, Mass. [u.a.] |b Addison-Wesley |c 1999 | |
| 300 | |a XXXII, 880 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 7 | |a Operations research |2 gtt | |
| 650 | 7 | |a Productiemanagement |2 gtt | |
| 650 | 7 | |a Productieplanning |2 gtt | |
| 650 | 7 | |a Production - Gestion |2 ram | |
| 650 | 4 | |a Production management | |
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| 700 | 1 | |a Ritzman, Larry P. |e Verfasser |4 aut | |
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Record in the Search Index
| _version_ | 1814804555091673088 |
|---|---|
| adam_text |
.*SIPIAEI;., H^H^HHEHBL*. % ^ .- I*R OPERATIONS MANAGEMENT FIFTH EDITION
JAY HEIZER JESSE H. JONES PROFESSOR OF BUSINESS ADMINISTRATION TEXAS
LUTHERAN UNIVERSITY BARRY RENDER CHARLES HARWOOD PROFESSOR OF OPERATIONS
MANAGEMENT CRUMMER GRADUATE SCHOOL OF BUSINESS ROLLINS COLLEGE I
PRENTICE HALL I 1 I UPPER SADDLE RIVER, NEW JERSEY 07458 ASS OUT THE
AUTHORS VI FOREWORD BY PHILIP E. CROSBY IX PREFACE XXI 1. OPERATIONS AND
PRODUCTIVITY 1 GLOBAL COMPANY PROFILE: WHIRLPOOL 2 WHAT IS OPERATIONS
MANAGEMENT? 4 THE HERITAGE OF OPERATIONS MANAGEMENT 4 WHY STUDY OM? 6
WHAT OPERATIONS MANAGERS DO 7 HOW THIS BOOK IS ORGANIZED 8 ORGANIZING TO
PRODUCE GOODS AND SERVICES 8 WHERE ARE THE OM JOBS? 10 EXCITING NEW
TRENDS IN OPERATIONS MANAGEMENT 11 OPERATIONS IN THE SERVICE SECTOR 12
DIFFERENCES BETWEEN GOODS AND SERVICES 12 GROWTH OF SERVICES 14 SERVICE
PAY 16 THE PRODUCTIVITY CHALLENGE 16 PRODUCTIVITY MEASUREMENT 17
PRODUCTIVITY VARIABLES 19 PRODUCTIVITY AND THE SERVICE SECTOR 22 THE
CHALLENGE OF SOCIAL RESPONSIBILITY 23 SUMMARY 24 * KEY TERMS 24 * SOLVED
PROBLEMS 24 * DISCUSSION QUESTIONS 25 * CRITICAL THINKING EXERCISE 26 *
PROBLEMS 26 CASE STUDY: NATIONAL AIR EXPRESS 28 * BIBLIOGRAPHY 29 *
INTERNET RESOURCES 29 2. OPERATIONS STRATEGY FOR COMPETITIVE ADVANTAGE
31 GLOBAL COMPANY PROFILE: KOMATSU 32 IDENTIFYING MISSIONS AND
STRATEGIES 34 MISSION 34 STRATEGY 36 ACHIEVING COMPETITIVE ADVANTAGE
THROUGH OPERATIONS 36 COMPETING ON DIFFERENTIATION 36 COMPETING ON COST
37 COMPETING ON RESPONSE 37 TEN DECISIONS OF OM 39 ISSUES IN OPERATIONS
STRATEGY 42 RESEARCH 42 PRECONDITIONS 43 DYNAMICS 43 STRATEGY
DEVELOPMENT AND IMPLEMENTATION 44 IDENTIFY CRITICAL SUCCESS FACTORS 45
BUILD AND STAFFTHE ORGANIZATION 47 SUMMARY 47 * KEY TERMS 47 * SOLVED
PROBLEM 48 * DISCUSSION QUESTIONS 48 * CRITICAL THINKING EXERCISE 48 *
PROBLEMS 49 * CASE STUDY: MINIT-LUBE, INC. 49 * CASE STUDY: GLOBAL
STRATEGY AT MOTOROLA 50 * VIDEO CASE 1: STRATEGY AT REGAL MARINE 51 *
INTERNET CASE STUDY 51 * BIBLIOGRAPHY 51 * INTERNET RESOURCES 52 3.
OPERATIONS IN A GLOBAL ENVIRONMENT 53 GLOBAL COMPANY PROFILE: BOEING 54
DEFINING GLOBAL OPERATIONS 57 GLOBALIZATION OFPRODUCTION 59 WHY GLOBAL
OPERATIONS ARE IMPORTANT 59 XII CONTENTS ACHIEVING GLOBAL OPERATIONS 62
GLOBAL PRODUCT DESIGN 62 GLOBAL PROCESS DESIGN AND TECHNOLOGY 63 GLOBAL
FACILITY LOCATION ANALYSIS 63 IMPACT OFCULTURE AND ETHICS 66 GLOBAL
ISSUES IN SERVICE OPERATIONS 67 MANAGING GLOBAL SERVICE OPERATIONS 68
SUMMARY 68 * KEY TERMS 69 * USING POMFOR WINDOWS FOR LOCATION ANALYSIS
69 * USING EXCEL OM TO SOLVE LOCATION PROBLEMS 69 * DISCUSSION QUESTIONS
70 * CRITICAL THINKING EXERCISE 71 * PROBLEMS 71 * CASE STUDY: FORD AND
MAZDA SHARE THE DRIVER'S SEAT 73 * BIBLIOGRAPHY 74 * INTERNET RESOURCES
74 PART TWO DESIGNING OPERATIONS 4. MANAGING QUALITY 75 GLOBAL COMPANY
PROFILE: MOTOROLA 76 QUALITY AND STRATEGY 78 DEFINING QUALITY 79 OTHER
IMPLICATIONS OF QUALITY 80 INTERNATIONAL QUALITY STANDARDS 80 JAPAN'S
INDUSTRIAL STANDARD 80 EUROPE'SLSO 9000 STANDARD 81 ENVIRONMENTAL
MANAGEMENT STANDARD 82 U.S. STANDARDS 82 TOTAL QUALITY MANAGEMENT 82
CONTINUOUS IMPROVEMENT 83 EMPLOYEE EMPOWERMENT 83 BENCHMARKING 84
JUST-IN-TIME (JIT) 85 KNOWLEDGE OFTQM TOOLS 86 TOOLS OFTQM 86 QUALITY
FUNCTION DEPLOYMENT (QFD) 86 TAGUCHI TECHNIQUE 89 PARETO CHARTS 90
PROCESS CHARTS 91 CAUSE-AND-EFFECT DIAGRAM 92 STATISTICAL PROCESS
CONTROL (SPC) 92 THE ROLE OF INSPECTION 93 WHEN AND WHERE TO INSPECT 95
SOURCE INSPECTION 96 SERVICE INDUSTRY INSPECTION 96 INSPECTION OF
ATTRIBUTES VS. VARIABLES 96 TOTAL QUALITY MANAGEMENT IN SERVICES 97
SUMMARY 99 * KEY TERMS 99 * DISCUSSION QUESTIONS 100 * CRITICAL THINKING
EXERCISE 100 * PROBLEMS 100 * CASE STUDY: WESTOVER ELECTRICAL, INC. 102
* CASE STUDY: QUALITY CLEANERS 104 * VIDEO CASE 2: QUALITY AT THE
RITZ-CARLTON HOTEL COMPANY 105 * INTERNET CASE STUDY 106 * BIBLIOGRAPHY
106 * INTERNET RESOURCES 106 SUPPLEMENT 4: STATISTICAL PROCESS CONTROL
107 STATISTICAL PROCESS CONTROL (SPC) 108 CONTROL CHARTS FOR VARIABLES
110 THE CENTRAL LIMIT THEOREM 111 SETTING MEAN CHART LIMITS (X-CHARTS)
113 SETTING RANGE CHART LIMITS (R-CHARTS) 115 USING MEAN AND RANGE
CHARTS 115 CONTROL CHARTS FOR ATTRIBUTES 117 PROCESS CAPABILITY 121
ACCEPTANCE SAMPLING 123 OPERATING CHARACTERISTIC CURVE 123 AVERAGE
OUTGOING QUALITY 125 SUMMARY 126 * KEY TERMS 126 * USING POM FOR WINDOWS
126 * USING EXCEL OM FOR SPC 127 * SOLVED PROBLEMS 128 * DISCUSSION
QUESTIONS 130 * PROBLEMS 130 * DATA BASE APPLICATION 133 * CASE STUDY:
BAYFIELD MUD COMPANY 135 * CASE STUDY: SPC AT THE GAZETTE 136 * INTERNET
CASE STUDY 137 * BIBLIOGRAPHY 137 * INTERNET RESOURCES 138 5.
FORECASTING 139 GLOBAL COMPANY PROFILE: TUPPERWARE CORPORATION 140 WHAT
IS FORECASTING? 142 FORECASTING TIME HORIZONS 142 THE INFLUENCE OF
PRODUCT LIFE CYCLE 143 TYPES OF FORECASTS 143 THE STRATEGIE IMPORTANCE
OF FORECASTING 143 HUMAN RESOURCES 144 CAPACITY 144 SUPPLY-CHAIN
MANAGEMENT 144 CONTENTS XLLL SEVEN STEPS IN THE FORECASTING SYSTEM 144
FORECASTING APPROACHES 145 OVERVIEW OF QUALITATIVE METHODS 145 OVERVIEW
OF QUANTITATIVE METHODS 146 TIME-SERIES FORECASTING 147 DECOMPOSITION OF
A TIME SERIES 147 NAIVE APPROACH 148 MOVING AVERAGES 148 EXPONENTIAL
SMOOTHING 151 EXPONENTIAL SMOOTHING WITH TREND ADJUSTMENT 155 TREND
PROJECTIONS 158 SEASONAL VARIATIONS IN DATA 161 CAUSAL FORECASTING
METHODS: REGRESSION AND CORRELATION ANALYSIS 163 USING REGRESSION
ANALYSIS TO FORECAST 163 STANDARD ERROR OFTHE ESTIMATE 165 CORRELATION
COEFFICIENTS FOR REGRESSION LINES 167 MULTIPLE-REGRESSION ANALYSIS 168
MONITORING AND CONTROLLING FORECASTS 170 ADAPTIVE SMOOTHING 172 FOCUS
FORECASTING 172 THE COMPUTER' S ROLE IN FORECASTING 172 FORECASTING IN
THE SERVICE SECTOR 172 SUMMARY 173 * KEY TERMS 174 * USING POM FOR
WINDOWS IN FORECASTING 174 * USING EXCEL SPREADSHEETS IN FORECASTING 174
* SOLVED PROBLEMS 177 - DISCUSSION QUESTIONS 179 * CRITICAL THINKING
EXERCISE 179 * PROBLEMS 179 * DATA BASE APPLICATION 187 * CASE STUDY:
NORTH-SOUTH AIRLINE 188 * CASE STUDY: AKRON ZOOLOGICAL PARK 189 *
INTERNET CASE STUDY 189 * BIBLIOGRAPHY 190 * INTERNET RESOURCES 190 6.
DESIGN OF GOODS AND SERVICES 191 GLOBAL COMPANY PROFILE: REGAL MARINE
192 GOODS AND SERVICES SELECTION 194 PRODUCT STRAETEGY OPTIONS 194
GENERATION OFNEW PRODUCT OPPORTUNITIES 195 PRODUCT LIFE CYCLES 196 LIFE
CYCLE AND STRAFE GY 198 ENVIRONMENTAL^ FRIENDLY PRODUCTS 199 PRODUCT
DEVELOPMENT 200 PRODUCT DEVELOPMENT SYSTEM 200 ORGANIZING FOR PRODUCT
DEVELOPMENT 201 MANUFACTURABILITY AND VALUE ENGINEERING 202 ISSUES FOR
PRODUCT DEVELOPMENT 203 ROBUST DESIGN 204 TIME-BASED COMPETITION 204
MODULAR DESIGN 204 COMPUTER-AIDED DESIGN (CAD) 205 VALUE ANALYSIS 206
PRODUCT-BY-VALUE ANALYSIS 206 DEFINING THE PRODUCT 207 MAKE-OR-BUY
DECISIONS 209 GROUP TECHNOLOGY 209 DOCUMENTS FOR PRODUCTION 210 SERVICE
DESIGN 211 DOCUMENTS FOR SERVICES 213 APPLICATION OF DECISION TREES TO
PRODUCT DESIGN 215 TRANSITION TO PRODUCTION 217 SUMMARY 217 * KEY TERMS
217 * SOLVED PROBLEMS 218 * DISCUSSION QUESTIONS 218 * CRITICAL THINKING
EXERCISE 218 * PROBLEMS 218 * CASE STUDY: DE MAR'S PRODUCT STRATEGY 221
* CASE STUDY: GE'S ROTARY COMPRESSOR 222 * VIDEO CASE 3: PRODUCT DESIGN
AT REGAL MARINE 223 * BIBLIOGRAPHY 224 * INTERNET RESOURCES 224 7.
PROCESS STRATEGY AND CAPACITY PLANNING 225 GLOBAL COMPANY PROFILE: NUCOR
226 THREE PROCESS STRATEGIES 228 PROCESS FOCUS 229 REPETITIVE FOCUS 230
PRODUCT FOCUS 232 COMPARISON OF PROCESS CHOICES 233 PROCESS ANALYSIS AND
DESIGN 235 FLOW DIAGRAMS 236 PROCESS CHARTS 236 TIME-FUNCTION MAPPING
237 WORK-FLOW ANALYSIS 237 PROCESS REENGINEERING 239 MOVING TOWARD LEAN
PRODUCTION 239 SERVICE PROCESS STRATEGY 241 SERVICE-SECTOR
CONSIDERATIONS 241 CUSTOMER INTERACTION AND PROCESS STRATEGY 242 XIV
CONTENTS MORE OPPORTUNITIES TO IMPROVE SERVICE PROCESSES 243 SELECTION
OF EQUIPMENT AND TECHNOLOGY 244 ENVIRONMENTAL ISSUES 245 CAPACITY 246
DEFINING CAPACITY 246 FORECASTING CAPACITY REQUIREMENTS 247 APPLYING
DECISION TREES TO CAPACITY DECISIONS 249 MANAGING DEMAND 250 BREAK-EVEN
ANALYSIS 251 SINGLE-PRODUCT CASE 254 MULTIPRODUCT CASE 255
STRATEGY-DRIVEN INVESTMENTS 257 INVESTMENT, VARIABLE COST, AND CASH FLOW
257 NET PRESENT VALUE 258 SUMMARY 261 * KEY TERMS 261 * USING EXCEL
OMFOR BREAK-EVEN ANALYSIS 262 * SOLVED PROBLEMS 263 * DISCUSSION
QUESTIONS 263 * CRITICAL THINKING EXERCISE 264 * PROBLEMS 264 * CASE
STUDY: MATTHEW YACHTS, INC. 268 * VIDEO CASE 4: PROCESS STRAETEGY AT
WHEELED COACH 269 * BIBLIOGRAPHY 270 * INTERNET RESOURCES 270 SUPPLEMENT
7: STATE-OF-THE-ART TECHNOLOGY IN OPERATIONS 271 DESIGN TECHNOLOGY 272
COMPUTER-AIDED DESIGN (CAD) 273 STANDARD FOR THE EXCHANGE OFPRODUCT DATA
(STEP) 273 COMPUTER-AIDED MANUFACTURING (CAM) 274 VIRTUAL REALITY
TECHNOLOGY 274 PRODUCTION TECHNOLOGY 275 NUMERICAL CONTROL 275 PROCESS
CONTROL 275 VISION SYSTEMS 276 ROBOTS 276 AUTOMATED STORAGE AND
RETRIEVAL SYSTEM (ASRS) 277 AUTOMATED GUIDED VEHICLE (AGV) 278 FLEXIBLE
MANUFACTURING SYSTEM (FMS) 278 COMPUTER-INTEGRATED MANUFACTURING (CIM)
279 TECHNOLOGY IN SERVICES 280 INFORMATION SCIENCES IN OPERATIONS 281
TRANSACTION PROCESSING 281 MANAGEMENT INFORMATION SYSTEM (MIS) 282 THE
INTERNET 282 ARTIFICIAL INTELLIGENCE 283 MANAGING TECHNOLOGY IN A GLOBAL
ENVIRONMENT 284 SUMMARY 286 * KEY TERMS 286 DISCUSSION QUESTIONS 286 *
PROBLEMS 287 * CASE STUDY: ROCHESTER MANUFACTURING CORPORATION 287 *
BIBLIOGRAPHY 288 * INTERNET RESOURCES 288 8. LOCATION STRATEGIES 289
GLOBAL COMPANY PROFILE: FEDERAL EXPRESS 290 THE STRATEGIE IMPORTANCE OF
LOCATION 292 FACTORS THAT AFFECT LOCATION DECISIONS 293 LABOR
PRODUCTIVITY 294 EXCHANGE RATES 296 COSTS 296 ATTITUDES 296 PROXIMITY TO
MARKETS 297 PROXIMITY TO SUPPLIERS 297 METHODS OF EVALUATING LOCATION
ALTERNATIVES 298 THE FACTOR-RATING METHOD 298 LOCATIONAL BREAK-EVEN
ANALYSIS 300 CENTER-OF-GRAVITY METHOD 301 TRANSPORTATION MODEL 303
SERVICE LOCATION STRATEGY 304 HOW HOTEL CHAINS SELECT SITES 305 THE
TELEMARKETING AND INTERNET INDUSTRIES 306 GEOGRAPHIE INFORMATION SYSTEMS
306 SUMMARY 307 * KEY TERMS 308 * USING POM FOR WINDOWS 308 * USING
EXCEL OM TO SOLVE LOCATION PROBLEMS 308 * SOLVED PROBLEMS 309 *
DISCUSSION QUESTIONS 311 * CRITICAL THINKING EXERCISE 311 * PROBLEMS 312
* DATA BASE APPLICATION 315 * CASE STUDY: SOUTHERN RECREATIONAL VEHICLE
COMPANY 317 * INTERNET CASE STUDY 318 * BIBLIOGRAPHY 318 * INTERNET
RESOURCES 318 9. LAYOUT STRATEGY 319 GLOBAL COMPANY PROFILE: PITTSBURGH
INTERNATIONAL AIRPORT 320 THE STRATEGIE IMPORTANCE OF LAYOUT DECISIONS
322 CONTENTS XV TYPES OF LAYOUT 322 FIXED-POSITION LAYOUT 323
PROCESS-ORIENTED LAYOUT 325 EXPERT SYSTEMS IN LAYOUT 331 WORK CELLS 331
THE FOCUSED WORK CENTER AND THE FOCUSED FACTORY 333 OFFICE LAYOUT 334
RETAIL LAYOUT 336 WAREHOUSING AND STORAGE LAYOUTS 337 CROSS-DOCKING 338
RANDOM STOCKING 338 CUSTOMIZING 339 REPETITIVE AND PRODUCT-ORIENTED
LAYOUT 339 ASSEMBLY-LINE BALANCING 341 SUMMARY 345 * KEY TERMS 345 *
USING POM FOR WINDOWS FOR LAYOUT DESIGN 346 * SOLVED PROBLEMS 348
DISCUSSION QUESTIONS 351 * CRITICAL THINKING EXERCISE 352 * PROBLEMS 352
* DATA BASE APPLICATION 358 CASE STUDY: DES MOINES NATIONAL BANK 358 *
CASE STUDY: STATE AUTOMOBILE LICENSE RENEWALS 360 * VIDEO CASE 5:
FACILITY LAYOUT AT WHEELED COACH 361 * INTERNET CASE STUDIES 362 *
BIBLIOGRAPHY 362 * INTERNET RESOURCES 362 10. HUMAN RESOURCES AND JOB
DESIGN 363 GLOBAL COMPANY PROFILE: LUCENT TECHNOLOGIES 364 HUMAN
RESOURCE STRATEGY FOR COMPETITIVE ADVANTAGE 366 CONSTRAINTS ON HUMAN
RESOURCE STRATEGY 366 LABOR PLANNING 367 EMPLOYMENT-STABILITY POLICIES
367 WORK SCHEDULES 368 JOB CLASSIFICATION AND WORK RULES 369 JOB DESIGN
369 LABOR SPECIALIZATION 369 JOB EXPANSION 370 PSYCHOLOGICAL COMPONENTS
OF JOB DESIGN 371 SELF-DIRECTED TEAMS 372 MOTIVATION AND INCENTIVE
SYSTEMS 374 ERGONOMICS AND WORK METHODS 375 THE VISUAL WORKPLACE 381
LABOR STANDARDS 383 SUMMARY 383 * KEY TERMS 383 * SOLVED PROBLEMS 384 *
DISCUSSION QUESTIONS 386 * CRITICAL THINKING EXERCISE 386 * PROBLEMS 386
* CASE STUDY: THE FLEET THAT WANDERS 387 * CASE STUDY: LINCOLN
ELECTRIC'S INCENTIVE PAY SYSTEM 388 * BIBLIOGRAPHY 389 * INTERNET
RESOURCES 389 SUPPLEMENT 10: WORK MEASUREMENT 391 LABOR STANDARDS AND
WORK MEASUREMENT 392 HISTORICAL EXPERIENCE 393 TIME STUDIES 393
PREDETERMINED TIME STANDARDS 398 WORK SAMPLING 400 SUMMARY 403 * KEY
TERMS 403 * SOLVED PROBLEMS 403 * DISCUSSION QUESTIONS 406 * PROBLEMS
406 * CASE STUDY: TELEPHONE OPERATOR STANDARDS AT AT&T 411 *
BIBLIOGRAPHY 412 * INTERNET RESOURCES 412 PART THREE MANAGING OPERATIONS
11. SUPPLY-CHAIN MANAGEMENT 413 GLOBAL COMPANY PROFILE: VOLKSWAGEN 414
THE STRATEGIE IMPORTANCE OF THE SUPPLY CHAIN 416 GLOBAL SUPPLY-CHAIN
ISSUES 417 PURCHASING 418 MANUFACTURING ENVIRONMENTS 419 SERVICE
ENVIRONMENTS 419 MAKE-OR-BUY DECISIONS 419 SUPPLY-CHAIN STRATEGIES 420
MANY SUPPLIERS 420 FEW SUPPLIERS 421 VERTICAL INTEGRATION 422 KEIRETSU
NETWORKS 423 VIRTUAL COMPANIES 423 VENDOR SELECTION 425 VENDOR
EVALUATION 425 VENDOR DEVELOPMENT 426 NEGOTIATIONS 426 XVI CONTENTS
MANAGING THE SUPPLY CHAIN 427 MATERIALS MANAGEMENT 429 DISTRIBUTION
SYSTEMS 430 BENCHMARKING SUPPLY-CHAIN MANAGEMENT 431 SUMMARY 431 * KEY
TERMS 432 » DISCUSSION QUESTIONS 432 * CRITICAL THINKING EXERCISE 432 *
PROBLEMS 432 * CASE STUDY: FACTORY ENTERPRISES, INC. 433 * CASE STUDY:
THOMAS MANUFACTURING COMPANY 434 * VIDEO CASE 6: SUPPLY CHAIN MANAGEMENT
AT REGAL MARINE 435 * INTERNET CASE STUDIES 436 * BIBLIOGRAPHY 436 *
INTERNET RESOURCES 436 12. INVENTORY MANAGEMENT 437 GLOBAL COMPANY
PROFILE: HARLEY-DAVIDSON 438 FUNCTIONS OF INVENTORY 440 TYPES OF
INVENTORY 440 INVENTORY MANAGEMENT 441 ABC ANALYSIS 441 RECORD ACCURACY
443 CYCLE COUNTING 444 CONTROL OF SERVICE INVENTORIES 444 INVENTORY
MODELS 446 INDEPENDENT VERSUS DEPENDENT DEMAND 446 HOLDING, ORDERING,
AND SETUP COSTS 446 INVENTORY MODELS FOR INDEPENDENT DEMAND 447 THE
BASIC ECONOMIC ORDER QUANTITY (EOQ) MODEL 447 MINIMIZING COSTS 447
REORDER POINTS 453 PRODUCTION ORDER QUANTITY MODEL 454 QUANTITY DISCOUNT
MODELS 457 PROBABILISTIC MODELS WITH CONSTANT LEAD TIME 460 FIXED-PERIOD
SYSTEMS 464 SUMMARY 465 * KEY TERMS 466 * USING POM FOR WINDOWS TO SOLVE
INVENTORY PROBLEMS 466 * USING EXCEL OMFOR INVENTORY 466 * SOLVED
PROBLEMS 469 * DISCUSSION QUESTIONS 471 * CRITICAL THINKING EXERCISE 471
* PROBLEMS 471 * CASE STUDY: STURDIVANT SOUND SYSTEMS 476 * CASE STUDY:
LAPLACE POWER AND LIGHT 476 * VIDEO CASE 7: INVENTORY CONTROL AT WHEELED
COACH 477 * INTERNET CASE STUDIES 477 ' BIBLIOGRAPHY 478 * INTERNET
RESOURCES 478 SUPPLEMENT 12: JUST-IN-TIME SYSTEMS 479 JUST-IN-TIME
PHILOSOPHY 480 SUPPLIERS481 GOALS OFJIT PARTNERSHIPS 483 CONCERNS OF
SUPPLIERS 484 JIT LAYOUT 485 DISTANCE REDUCTION 485 INCREASED
FLEXIBILITY 486 IMPACT ON EMPLOYEES 486 REDUCED SPACE AND INVENTORY 486
INVENTORY 486 REDUCE VARIABILITY 487 REDUCE INVENTORY 487 REDUCE LOT
SIZES 488 REDUCE SETUP COSTS 489 SCHEDULING 490 LEVEL MATERIAL-USE
SCHEDULES 490 KANBAN 490 QUALITY 493 EMPLOYEE EMPOWERMENT 493 JIT IN
SERVICES 494 SUMMARY 495 * KEY TERMS 495 * SOLVED PROBLEMS 495 *
DISCUSSION QUESTIONS 496 * PROBLEMS 496 * CASE STUDY: ELECTRONIC
SYSTEMS, INC. 498 * BIBLIOGRAPHY 499 * INTERNET RESOURCES 499 13.
AGGREGATE SCHEDULING 501 GLOBAL COMPANY PROFILE: ANHEUSER-BUSCH 502 THE
PLANNING PROCESS 504 THE NATURE OF AGGREGATE SCHEDULING 505 AGGREGATE
PLANNING STRATEGIES 507 CAPACITY OPTIONS 508 DEMAND OPTIONS 509 MIXING
OPTIONS TO DEVELOP A PLAN 510 METHODS FOR AGGREGATE SCHEDULING 511
GRAPHICAL AND CHARTING METHODS 511 MATHEMATICAL APPROACHES TO PLANNING
516 COMPARISON OF AGGREGATE PLANNING METHODS 518 AGGREGATE SCHEDULING IN
SERVICES 518 RESTAURANTS 519 MISCELLANEOUS SERVICES 520 CONTENTS XVII
NATIONAL CHAINS OFSMALL SERVICE FIRMS 520 AIRLINE INDUSTRY 520 HOSPITALS
521 SUMMARY 522 * KEY TERMS 522 * USING POM FOR WINDOWS FOR AGGREGATE
PLANNING 522 * USING EXCEL OM FOR AGGREGATE PLANNING 523 * SOLVED
PROBLEMS 525 * DISCUSSION QUESTIONS 527 * CRITICAL THINKING EXERCISE 527
* PROBLEMS 527 * DATA BASE APPLICATION 532 * CASE STUDY: SOUTHWESTERN
STATE COLLEGE 532 * INTERNET CASE STUDY 533 * BIBLIOGRAPHY 534 *
INTERNET RESOURCES 534 14. MATERIAL REQUIREMENTS PLANNING (MRP) 535
GLOBAL COMPANY PROFILE: COLLINS INDUSTRIES 536 DEPENDENT INVENTORY MODEL
REQUIREMENTS 538 MASTER PRODUCTION SCHEDULE 539 BILLS OF MATERIAL 541
ACCURATE INVENTORY RECORDS 544 PURCHASE ORDERS OUTSTANDING 545 LEAD
TIMES FOR EACH COMPONENT 545 MRP STRUCTURE 545 MRP MANAGEMENT 550 MRP
DYNAMICS 550 MRP AND JIT 550 LOT-SIZING TECHNIQUES 551 EXTENSIONS OF MRP
555 CLOSED-LOOP MRP 555 CAPACITY PLANNING 556 MATERIAL REQUIREMENTS
PLANNING II (MRP II) 557 ENTERPRISE RESOURCE PLANNING (ERP) 558 MRP IN
SERVICES 560 DISTRIBUTION RESOURCE PLANNING (DRP) 561 DRP STRUCTURE 562
ALLOCATION 562 SUMMARY 562 * KEY TERMS 563 * USING POM FOR WINDOWS TO
SOLVE MRP PROBLEMS 563 * SOLVED PROBLEMS 565 * DISCUSSION QUESTIONS 568
' CRITICAL THINKING EXERCISE 568 * PROBLEMS 568 * DATA BASE APPLICATION
573 * CASE STUDY: SERVICE, INC. 574 * CASE STUDY: RUCH MANUFACTURING 574
* VIDEO CASE 8: MRP AT WHEELED COACH 575 * BIBLIOGRAPHY 576 * INTERNET
RESOURCES 576 15. SHORT-TERM SCHEDULING 577 GLOBAL COMPANY PROFILE:
DELTA AIRLINES 578 THE STRATEGIE IMPORTANCE OF SHORT TERM SCHEDULING 580
SCHEDULING ISSUES 580 FORWARD AND BACKWARD SCHEDULING 582 SCHEDULING
CRITERIA 582 SCHEDULING PROCESS-FOCUSED WORK CENTERS 583 LOADING JOBS IN
WORK CENTERS 584 INPUT-OUTPUT CONTROL 584 GANTT CHARTS 585 ASSIGNMENT
METHOD 587 SEQUENCING JOBS IN WORK CENTERS 590 PRIORITY RULESFOR
DISPATCHING JOBS 590 CRITICAL RATIO 594 SEQUENCING N JOBS ON TWO
MACHINES: JOHNSON S RULE 594 LIMITATIONS OF RULE-BASED DISPATCHING
SYSTEMS 596 FINITE SCHEDULING 596 THEORY OF CONSTRAINTS 597 BOTTLENECK
WORK CENTERS 598 REPETITIVE MANUFACTURING 599 SCHEDULING FOR SERVICES
601 SCHEDULING NURSES WITH CYCLICAL SCHEDULING 602 SUMMARY 603 * KEY
TERMS 604 * USING POM FOR WINDOWS TO SOLVE SCHEDULING PROBLEMS 604 *
USING EXCEL OM FOR SHORT-TERM SCHEDULING 605 * SOLVED PROBLEMS 607 *
DISCUSSION QUESTIONS 611 * CRITICAL THINKING EXERCISE 611 * PROBLEMS 611
* DATA BASE APPLICATION 616 * CASE STUDY: OLD OREGON WOOD STORE 617 *
BIBLIOGRAPHY 619 * INTERNET RESOURCES 619 16. PROJECT MANAGEMENT 621
GLOBAL COMPANY PROFILE: BECHTEL 622 THE STRATEGIE IMPORTANCE OF PROJECT
MANAGEMENT 624 PROJECT PLANNING 625 THE PROJECT MANAGER 625 WORK
BREAKDOWN STRUCTURE 626 PROJECT SCHEDULING 627 PROJECT CONTROLLING 629
XVIII CONTENTS PROJECT MANAGEMENT TECHNIQUES: PERT AND CPM 629 THE
FRAMEWORK OFPERT AND CPM 629 ACTIVITIES, EVENTS, AND NETWORKS 630 DUMMY
ACTIVITIES AND EVENTS 632 PERT AND ACTIVITY TIME ESTIMATES 633 CRITICAL
PATH ANALYSIS 634 THE PROBABILITY OF PROJECT COMPLETION 638 CASE STUDY
OFPERT: SCHWAERE FOUNDRY 639 COST-TIME TRADE-OFFS AND PROJECT CRASHING
643 APPLYING PROJECT SCHEDULING TO SERVICE FIRNIS 645 A CRITIQUE OF PERT
AND CPM 646 SUMMARY 647 * KEY TERMS 648 * USING POMFOR WINDOWS FOR
PROJECT SCHEDULING 648 ' SOLVED PROBLEMS 648 * DISCUSSION QUESTIONS 652
* CRITICAL THINKING EXERCISE 653 * PROBLEMS 653 * DATA BASE APPLICATION
659 * CASE STUDY: SHALE OIL COMPANY 660 * INTERNET CASE STUDIES 661 *
BIBLIOGRAPHY 661 * INTERNET RESOURCES 662 17. MAINTENANCE AND
RELIABILITY 663 GLOBAL COMPANY PROFILE: NASA 664 THE STRATEGIE
IMPORTANCE OF MAINTENANCE AND RELIABILITY 666 RELIABILITY 667 IMPROVING
INDIVIDUAL COMPONENTS 667 PROVIDING REDUNDANCY 670 MAINTENANCE 671
IMPLEMENTING PREVENTIVE MAINTENANCE 671 INCREASING REPAIR CAPABILITIES
675 TOTAL PRODUCTIVE MAINTENANCE 675 TECHNIQUES FOR ESTABLISHING
MAINTENANCE POLICIES 676 SUMMARY 676 * KEY TERMS 677 * USING POMFOR
WINDOWS TO SOLVE RELIABILITY PROBLEMS 677 * SOLVED PROBLEMS 677 *
DISCUSSION QUESTIONS 678 * CRITICAL THINKING EXERCISE 678 * PROBLEMS 679
* CASE STUDY: WORLDWIDE CHEMICAL COMPANY 681 * INTERNET CASE STUDIES 682
* BIBLIOGRAPHY 682 * INTERNET RESOURCES 682 PART FOUR QUANTITATIVE
MODULES A. DECISION-MAKING TOOLS 683 THE DECISION PROCESS IN OPERATIONS
684 FUNDAMENTALS OF DECISION MAKING 685 DECISION TABLES 686 DECISION
MAKING UNDER RISK 686 EXPECTED VALUE OFPERFECT INFORMATION (EVPI) 688
DECISION TREES 689 A MORE COMPLEX DECISION TREE 690 SUMMARY 692 * KEY
TERMS 693 * USING POM FOR WINDOWS TO SOLVE DECISION TABLE AND TREE
PROBLEMS 693 * USING EXCEL OM FOR DECISION MODELS 694 * SOLVED PROBLEMS
695 * DISCUSSION QUESTIONS 696 * PROBLEMS 696 CASE STUDY: NIGEL
SMYTHE'S HEART BYPASS OPERATION 700 * INTERNET CASE STUDIES 701 *
BIBLIOGRAPHY 701 B. LINEAR PROGRAMMING 703 REQUIREMENTS OF A LINEAR
PROGRAMMING PROBLEM 705 FORMULATING LINEAR PROGRAMMING PROBLEMS 706
SHADER ELECTRONICS EXAMPLE 706 GRAPHICAL SOLUTION TO A LINEAR
PROGRAMMING PROBLEM 707 GRAPHICAL REPRESENTATION OF CONSTRAINTS 707
ISO-PROFIT EINE SOLUTION METHOD 708 CORNER-POINT SOLUTION METHOD 711
SENSITIVITY ANALYSIS 713 SOLVING MINIMIZATION PROBLEMS 714 LINEAR
PROGRAMMING APPLICATIONS 716 PRODUCTION-MIX EXAMPLE 717 DIET PROBLEM
EXAMPLE 718 PRODUCTION SCHEDULING EXAMPLE 718 LABOR SCHEDULING EXAMPLE
720 THE SIMPLEX METHOD OF LP 722 SUMMARY 722 * KEY TERMS 723 * USING POM
FOR WINDOWS TO SOLVE LP PROBLEMS 723 * USING EXCEL SPREADSHEETS TO SOLVE
LP CONTENTS XIX PROBLEMS 724 * SOLVED PROBLEMS 725 * DISCUSSION
QUESTIONS 728 * PROBLEMS 729 * DATA BASE APPLICATION 735 * CASE STUDY:
GOLDING LANDSCAPING AND PLAUTS, INC. 736 * INTERNET CASE STUDIES 737 *
BIBLIOGRAPHY 737 C. TRANSPORTATION MODELS 739 TRANSPORTATION MODELING
740 DEVELOPING AN INITIAL SOLUTION: THE NORTHWEST-CORNER RULE 742 THE
STEPPING-STONE METHOD 743 SPECIAL ISSUES IN MODELING 748 DEMAND NOT
EQUAL TO SUPPLY 748 DEGENERACY 748 SUMMARY 750 * KEY TERMS 750 * USING
POM FOR WINDOWS TO SOLVE TRANSPORTATION PROBLEMS 750 * USING EXCEL OM TO
SOLVE TRANSPORTATION PROBLEMS 751 * SOLVED PROBLEMS 752 * DISCUSSION
QUESTIONS 755 * PROBLEMS 755 * DATA BASE APPLICATION 760 * CASE STUDY:
ANDREW-CARTER, INC. 761 * INTERNET CASE STUDIES 762 * BIBLIOGRAPHY 762
D. WAITING-LINE MODELS 763 QUEUING COSTS 765 CHARACTERISTICS OF A
WAITING-LINE SYSTEM 765 ARRIVAL CHARACTERISTICS 766 WAITING-LINE
CHARACTERISTICS 767 SERVICE FACILITY CHARACTERISTICS 767 MEASURING THE
QUEUE''S PERFORMANCE 770 THE VARIETY OF QUEUING MODELS 770 MODEL A:
SINGLE-CHANNEL QUEUING MODEL WITH POISSON ARRIVALS AND EXPONENTIAL
SERVICE TIMES 771 MODEL B: MULTIPLE-CHANNEL QUEUING MODEL 774 MODEL C:
CONSTANT SERVICE TIME MODEL 776 MODEL D: LIMITED POPULATION MODEL 777
OTHER QUEUING APPROACHES 780 SUMMARY 781 * KEY TERMS 781 * USING POM FOR
WINDOWS FOR QUEUING 782 * USING EXCEL OMFOR QUEUING 782 * SOLVED
PROBLEMS 783 * DISCUSSION QUESTIONS 786 * PROBLEMS 786 * CASE STUDY: NEW
ENGLAND CASTINGS 790 * CASE STUDY: THE WINTER PARK HOTEL 792 * INTERNET
CASE STUDY 793 * BIBLIOGRAPHY 793 E. LEARNING CURVES 795 LEARNING CURVES
IN SERVICES AND MANUFACTURING 797 APPLYING THE LEARNING CURVE 798
ARITHMETIC APPROACH 799 LOGARITHMIC APPROACH 799 LEARNING-CURVE
COEFFICIENT APPROACH 800 STRATEGIE IMPLICATIONS OF LEARNING CURVES 802
SUMMARY 803 * KEY TERM 803 * USING POM FOR WINDOWS FOR LEARNING CURVES
803 * USING EXCEL OMFOR LEARNING CURVES 804 * SOLVED PROBLEMS 805 *
DISCUSSION QUESTIONS 806 * PROBLEMS 806 * CASE STUDY: SMT'S NEGOTIATION
WITH IBM 809 * BIBLIOGRAPHY 810 F. SIMULATION 811 WHATLS SIMULATION? 813
ADVANTAGES AND DISADVANTAGES OF SIMULATION 813 MONTE CARLO SIMULATION
815 SIMULATION OF A QUEUING PROBLEM 818 SIMULATION AND INVENTORY
ANALYSIS 820 THE ROLE OF COMPUTERS IN SIMULATION 823 SUMMARY 824 * KEY
TERMS 824 * USING POM FOR WINDOWS FOR SIMULATION 825 * SIMULATION WITH
EXCEL SPREADSHEETS 825 * SOLVED PROBLEMS 827 * DISCUSSION QUESTIONS 828
* PROBLEMS 829 * CASE STUDY: ALABAMA AIRLINES 836 * INTERNET CASE
STUDIES 837 * BIBLIOGRAPHY 837 APPENDIX I NORMAL CURVE AREAS AND HOW TO
USE THE NORMAL DISTRIBUTION A2 APPENDIX II POISSON DISTRIBUTION VALUES
A5 APPENDIX III VALUES OF E~ X FOR USE IN THE POISSON DISTRIBUTION A7
APPENDIX IV TABLE OF RANDOM NUMBERS A8 APPENDIX V USING POM FOR WINDOWS
AND EXCEL OM A9 APPENDIX VI SOLUTIONS TO EVEN- NUMBERED PROBLEMS A10
NAME INDEX II GENERAL INDEX 17 |
| any_adam_object | 1 |
| author | Krajewski, Lee J. Ritzman, Larry P. |
| author_facet | Krajewski, Lee J. Ritzman, Larry P. |
| author_role | aut aut |
| author_sort | Krajewski, Lee J. |
| author_variant | l j k lj ljk l p r lp lpr |
| building | Verbundindex |
| bvnumber | BV012510201 |
| callnumber-first | T - Technology |
| callnumber-label | TS155 |
| callnumber-raw | TS155 |
| callnumber-search | TS155 |
| callnumber-sort | TS 3155 |
| callnumber-subject | TS - Manufactures |
| classification_rvk | QP 500 |
| ctrlnum | (OCoLC)833405705 (DE-599)BVBBV012510201 |
| dewey-full | 658.5 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5 |
| dewey-search | 658.5 |
| dewey-sort | 3658.5 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 5. ed. |
| format | Book |
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| id | DE-604.BV012510201 |
| illustrated | Illustrated |
| indexdate | 2024-11-04T15:01:33Z |
| institution | BVB |
| isbn | 0201331187 020147431X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008490943 |
| oclc_num | 833405705 |
| open_access_boolean | |
| owner | DE-83 |
| owner_facet | DE-83 |
| physical | XXXII, 880 S. Ill., graph. Darst. |
| publishDate | 1999 |
| publishDateSearch | 1999 |
| publishDateSort | 1999 |
| publisher | Addison-Wesley |
| record_format | marc |
| spelling | Krajewski, Lee J. Verfasser aut Operations management strategy and analysis Lee J. Krajewski ; Larry P. Ritzman 5. ed. Reading, Mass. [u.a.] Addison-Wesley 1999 XXXII, 880 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Operations research gtt Productiemanagement gtt Productieplanning gtt Production - Gestion ram Production management Management (DE-588)4037278-9 gnd rswk-swf Produktion (DE-588)4047347-8 gnd rswk-swf Produktion (DE-588)4047347-8 s Management (DE-588)4037278-9 s DE-604 Ritzman, Larry P. Verfasser aut GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008490943&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Krajewski, Lee J. Ritzman, Larry P. Operations management strategy and analysis Operations research gtt Productiemanagement gtt Productieplanning gtt Production - Gestion ram Production management Management (DE-588)4037278-9 gnd Produktion (DE-588)4047347-8 gnd |
| subject_GND | (DE-588)4037278-9 (DE-588)4047347-8 |
| title | Operations management strategy and analysis |
| title_auth | Operations management strategy and analysis |
| title_exact_search | Operations management strategy and analysis |
| title_full | Operations management strategy and analysis Lee J. Krajewski ; Larry P. Ritzman |
| title_fullStr | Operations management strategy and analysis Lee J. Krajewski ; Larry P. Ritzman |
| title_full_unstemmed | Operations management strategy and analysis Lee J. Krajewski ; Larry P. Ritzman |
| title_short | Operations management |
| title_sort | operations management strategy and analysis |
| title_sub | strategy and analysis |
| topic | Operations research gtt Productiemanagement gtt Productieplanning gtt Production - Gestion ram Production management Management (DE-588)4037278-9 gnd Produktion (DE-588)4047347-8 gnd |
| topic_facet | Operations research Productiemanagement Productieplanning Production - Gestion Production management Management Produktion |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008490943&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT krajewskileej operationsmanagementstrategyandanalysis AT ritzmanlarryp operationsmanagementstrategyandanalysis |