Operations management: sustainability and supply chain management
Gespeichert in:
| Beteiligte Personen: | , , |
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| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Harlow, England ; London ; New York ; Boston
Pearson
[2020]
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| Ausgabe: | Thirteenth edition, global edition |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031421230&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Literaturangaben |
| Umfang: | 858, A18, I30 Seiten Illustrationen, Diagramme |
| ISBN: | 9781292295039 |
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Datensatz im Suchindex
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| adam_text | 1 է Table of Contents Preface 19 About the Authors 26 PART ONE Chapter 1 33 Introduction to Operations Operations and Productivity 33 Chapter 2 GLOBAL COMPANY PROFILE: Hard Rock Cafe: Operations Management at Hard Rock Cafe 34 What Is Operations Management? The Supply Chain Why Study OM? 36 A Global View of Operations and Supply Chains 64 38 38 What Operations Managers Do Cultural and Ethical Issues 39 The Heritage of Operations Management Operations for Goods and Services Growth of Services Service Pay GLOBAL COMPANY PROFILE: Boeing: Boeing’s Global Supply-Chain Strategy Yields Competitive Advantage 62 36 Organizing to Produce Goods and Services Operations Strategy in a Global Environment 61 40 Mission 43 Strategy 43 The Productivity Challenge 67 67 45 Competing on Differentiation OM in Action: Improving Productivity at Starbucks 46 Competing on Cost Productivity Measurement 46 Competing on Response 47 50 50 Ethics, Social Responsibility, and Sustainability 51 52 Discussion Questions Problems 52 Integrating OM with Other Activities Building and Staffing the Organization Risks of Outsourcing 53 Ethiopia 56 56 Key Terms 57 Ethical Dilemma Celebrity Cruises: Operations Management at Sea 58 58 60 80 82 Hard Rock Cafe: Operations Management in Sen/ices 82 82 Discussion Questions 82 Using Software to Solve Outsourcing Problems 83 58 Chapter 1 Rapid Review 78 79 Global Operations Strategy Options Summary 56 Self Test 76 78 Frito-Lay: Operations Management in Manufacturing Bibliography 75 78 Rating Outsource Providers Aldi: Changing the Landscape of Grocery Shopping Endnotes 74 OM
in Action: China Outsources Too—to 56 VIDEO CASE STUDIES 73 75 The Theory of Comparative Advantage 53 54 CASESTUDY 73 Strategic Planning, Core Competencies, and Outsourcing 76 52 Using Software for Productivity Analysis Solved Problems Key Success Factors and Core Competencies Implementing the 10 Strategic OM Decisions 52 Ethical Dilemma 72 OM in Action: Amazon Updates Sears’ Strategy Current Challenges in Operations Management Key Terms 70 Strategy Development and Implementation OM in Action: Taco Bell Improves Productivity and Goes Green to Lower Costs 68 70 Issues in Operations Strategy Productivity and the Service Sector 49 Summary 67 Achieving Competitive Advantage Through Operations 68 44 Productivity Variables 67 Determining Missions and Strategies 59 Solved Problems Problems 84 85 7
8 TABLE OF CONTENTS CASESTUDY 86 Endnotes Outsourcing: Ethiopia VIDEO CASE STUDIES Bibliography 86 87 Hard Rock Cafe’s Global Strategy Outsourcing Offshore at Darden Chapter 3 Chapter 4 88 89 What Is Forecasting? 91 Types of Forecasts GLOBAL COMPANY PROFILE: Bechtel Group: Project Management Provides a Competitive Advantage for Bechtel 92 The Importance of Project Management Project Planning 94 Project Scheduling Overview of Qualitative Methods Time-Series Forecasting 98 The Framework of PERT and CPM 99 Network Diagrams and Approaches Activity-on-Node Example 101 Activity-on-Arrow Example 103 149 Exponential Smoothing with Trend Adjustment Trend Projections Calculating Slack Time and Identifying the Critical Path(s) 107 109 Three Time Estimates in PERT 109 114 117 OM in Action: Behind the Tour de France 158 163 Associative Forecasting Methods: Regression and Correlation Analysis 163 Standard Error of the Estimate Cost-Time Trade-Offs and Project Crashing A Critique of PERT and CPM Cyclical Variations in Data Using Regression Analysis for Forecasting 111 Using Microsoft Project to Manage Projects 118 165 168 OM in Action: NYC’s Potholes and Regression Analysis 169 Monitoring and Controlling Forecasts 120 Adaptive Smoothing 121 Focus Forecasting 121 Discussion Questions 171 171 Forecasting in the Service Sector 121 Using Software to Solve Project Management Problems 122 Summary Solved Problems Ethical Dilemma Key Terms 123 173 173 Managing Hard Rock’s Rockfest 174 Using Software in Forecasting Project Management at Arnold Palmer Hospital 133 132 Solved Problems Problems 172
173 Discussion Questions 132 163 Correlation Coefficients for Regression Lines Multiple Regression Analysis 117 152 156 Seasonal Variations in Data Probability of Project Completion 145 148 Measuring Forecast Error 106 Variability in Activity Times 144 146 Exponential Smoothing 104 Problems 126 VIDEO CASE STUDIES 144 145 Moving Averages 103 144 OM in Action: Forecasting at Olivé Garden Naive Approach 100 Determining the Project Schedule Ethical Dilemma 143 Decomposition of a Time Series 99 142 143 Overview of Quantitative Methods Project Management Techniques: PERT and CPM Backward Pass 141 142 Forecasting Approaches 97 141 142 Seven Steps in the Forecasting System 96 OM in Action: Delta’s Ground Crew Orchestrates a Smooth Takeoff 98 Project Controlling 141 Supply Chain Management Capacity The Project Manager 95 140 The Strategic Importance of Forecasting Human Resources 94 Work Breakdown Structure Forward Pass 140 Forecasting Time Horizons Project Management Key Terms 137 Forecasting Provides a Competitive Advantage for Disney 138 88 90 Summary Forecasting GLOBAL COMPANY PROFILE: Walt Disney Parks Resods: Chapter 2 Rapid Review Self Test 135 87 88 Bibliography 134 Chapter 3 Rapid Review Self Test 136 87 Strategy at Regal Marine Endnotes 134 178 176 174 170 166
TABLE OF CONTENTS CASESTUDY 185 Southwestern University: (B) VIDEO CASE STUDIES Endnotes 188 Bibliography 188 Chapter 4 Rapid Review Self Test 190 185 186 Forecasting Ticket Revenue for Orlando Magic Basketball Games 186 Forecasting at Hard Rock Cafe PART TWO Chapter 5 187 191 Design of Goods and Services 191 GLOBAL COMPANY PROFILE: Regal Marine: Product Strategy Provides Competitive Advantage at Regal Marine 192 Goods and Services Selection 194 Product Strategy Options Support Competitive Advantage 195 VIDEO CASE STUDIES 196 Product-by-Value Analysis Endnotes 222 Bibliography 222 Chapter 5 Rapid Review Self Test 224 198 Quality Function Deployment (QFD) 198 Organizing for Product Development 201 Manufacturability and Value Engineering Robust Design 202 Supplement 5 202 203 Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) 203 Virtual Reality Technology Sustainability in the Supply Chain 225 Systems View 205 205 Purchasing Technology by Acquiring a Firm 207 226 Product Design 229 Production Process Defining a Product 208 Group Technology 209 International Environmental Policies and Standards Documents for Production 210 210 211 Designing More Efficient Services 235 OM in Action: Subaru’s Clean, Green Set of Wheels Product Life-Cycle Management (PLM) 212 OM in Action: Amazon Pushes Product Design 212 Documents for Services 234 Regulations and Industry Standards 234 OM in Action: Designing for End of Life 235 207 Make-or-Buy Decisions 232 232 End-of-Life Phase 207 227 OM in Action: Blue Jeans and Sustainability 228 Design and Production for Sustainability 229
Logistics 207 226 226 Triple Bottom Line Product Development Continuum 205 OM in Action: Product Design at McDonald’s 206 Service Design 223 Corporate Social Responsibility Sustainability 226 Commons 204 Sustainability and Life Cycle Assessment (LCA) Joint Ventures 221 202 Modular Design Value Analysis 221 Celebrity Cruises Designs a New Ship Generating New Products 197 Product Development 198 Issues for Product Design 221 Product Design at Regal Marine 197 Product Development System Ethical Dilemma 217 Discussion Questions 217 Solved Problem 217 Problems 218 CASE STUDY 220 Product Design at McDonald s: Standardization vs. Localization 220 196 Life Cycle and Strategy Alliances 189 Designing Operations Product Life Cycles 9 213 Application of Decision Trees to Product Design 214 Transition to Production 215 Summary 216 Key Terms 216 with ISO 14001 and ISO 50001 236 Summary 237 Key Terms 237 Discussion Questions 237 Solved Problems 237 Problems 238 VIDEO CASE STUDIES 240 Building Sustainability at the Orlando Magic’s Amway Center 240 Green Manufacturing and Sustainability at Frito-Lay 241
10 TABLE OF CONTENTS “Saving the Waves” at Celebrity Cruises Endnotes 242 Bibliography CASESTUDY 270 Southwestern University: (C) 242 VIDEO CASE STUDIES Supplement 5 Rapid Review Self Test 241 243 270 271 The Culture of Quality at Arnold Palmer Hospital Quality Counts at Alaska Airlines 244 272 Celebrity Cruises: A Premium Experience Chapter 6 Managing Quality 245 GLOBAL COMPANY PROFILE: Arnold Palmer Hospital: Managing Quality Provides a Competitive Advantage at Arnold Palmer Hospital 246 Quality and Strategy 248 Defining Quality Endnote 274 Bibliography 274 Chapter 6 Rapid Review Self Test 276 Supplement 6 249 Implications of Quality 249 Statistical Process Control Statistical Process Control (SPC) Control Charts for Variables ISO 9000 International Quality Standards The Central Limit Theorem Cost of Quality (COQ) 250 Total Quality Management Six Sigma Control Charts for Attributes 252 252 Process Capability 255 Taguchi Concepts OM in Action: A Hospital Benchmarks Against the Ferrari Racing Team? 255 Tools of TQM 258 258 Flowcharts 259 Histograms 260 CASE STUDY Statistical Process Control (SPC) The Role of Inspection 260 261 When and Where to Inspect Source Inspection VIDEO CASE STUDIES 261 263 OM in Action: Safe Patients, Smart Hospitals 263 266 268 266 Chapter 7 309 Process Strategies Four Process Strategies 267 Discussion Questions Problems 307 311 GLOBAL COMPANY PROFILE: Harley-Davidson: Repetitive Manufacturing Works at Harley-Davidson 312 266 Solved Problems Endnotes 307 Bibliography 308 Supplement 6 Rapid Review Self Test 310 306 264 OM in Action: Richey
International’s Spies Ethical Dilemma 305 306 Farm to Fork: Quality at Darden Restaurants 263 Inspection of Attributes Versus Variables Key Terms 294 Frito-Lay’s Quality-Controlled Potato Chips 263 Service Industry Inspection Summary 292 293 305 Bayfield Mud Company OM in Action: Inspecting the Boeing 787 262 TQM in Services Acceptance Sampling Summary 296 Key Terms 296 Discussion Questions 296 Using Software for SPC 297 Solved Problems 298 Problems 299 258 Cause-and-Effect Diagrams Pareto Charts 291 Process Capability Index (Cpk) Average Outgoing Quality 295 257 Scatter Diagrams 290 291 Operating Characteristic Curve 256 257 Check Sheets 287 Process Capability Ratio (Cp) 255 Knowledge of TQM Tools 284 285 Managerial Issues and Control Charts 254 Just-in-Time (Ј1Ђ 281 OM in Action: Trying to Land a Seat with Frequent Flyer Miles 289 Employee Empowerment 253 Benchmarking 279 Using Mean and Range Charts 251 Continuous Improvement 278 Setting Range Chart Limits (R-Charts) 251 277 279 Setting Mean Chart Limits (x-Charts) Ethics and Quality Management 273 275 Malcolm Baldrige National Quality Award 250 250 271 267 267 Process Focus Repetitive Focus Product Focus 314 314 315 316 Mass Customization Focus 316
11 TABLE OF CONTENTS OM in Action: Mass Customization for Straight Teeth 317 OM in Action: Matching Airline Capacity to Demand 344 Process Comparison Service-Sector Demand and Capacity Management 345 318 Selection of Equipment 320 Process Analysis and Design Bottleneck Analysis and the Theory of Constraints 321 Theory of Constraints Flowchart 321 Time-Function Mapping Process Charts Bottleneck Management 349 321 Break-Even Analysis 322 Value-Stream Mapping Service Blueprinting Multiproduct Case 324 326 Machine Technology 326 Automatic Identification Systems (AISs) and RFID 327 Process Control 327 328 328 328 Automated Storage and Retrieval Systems (ASRSs) 328 Automated Guided Vehicles (AGVs) 328 Flexible Manufacturing Systems (FMSs) 329 Computer-Integrated Manufacturing (СІМ) 329 OM in Action: Technology Changes the Hotel Industry 330 Technology in Services Process Redesign Summary 330 330 332 Capacity Planning at Arnold Palmer Hospital 365 Bibliography 366 Supplement 7 Rapid Review Self Test 368 367 369 VIDEO CASE STUDIES 373 Labor Productivity 374 Rochester Manufacturing’s Process Decision 334 Exchange Rates and Currency Risk 374 Costs 334 Process Strategy at Wheeled Coach Process Analysis at Arnold Palmer Hospital 374 OM in Action: Iowa—Home of Corn and Facebook 375 334 Alaska Airlines: 20-Minute Baggage Process— Guaranteed! 335 335 Political Risk, Values, and Culture Proximity to Markets Proximity to Suppliers 375 375 376 Proximity to Competitors (Clustering) 336 376 Methods of Evaluating Location Alternatives 336 Chapter 7 Rapid Review 376 OM in Action: Denmark’s Meat
Cluster 377 337 The Factor-Rating Method 377 338 Locational Cost-Volume Analysis Supplement 7 372 Factors That Affect Location Decisions 334 Bibliography Location Strategies The Strategic Importance of Location 332 333 CASESTUDY Capacity 358 GLOBAL COMPANY PROFILE: FedEx: Location Provides Competitive Advantage for FedEx 370 332 Discussion Questions Solved Problem Self Test 355 Summary 357 Key Terms 358 Discussion Questions 358 Using Software for Break-Even Analysis Solved Problems 359 Problems 361 VIDEO CASE STUDY 365 Chapter 8 331 Ethical Dilemma Endnotes 355 331 Key Terms Problems 351 Investment, Variable Cost, and Cash Flow Net Present Value OM in Action: 500,000 Tons of Steel; 14 Jobs Vision Systems 350 Reducing Risk with Incremental Changes 353 Applying Expected Monetary Value (EMV) to Capacity Decisions 354 Applying Investment Analysis to Strategy-Driven Investments 355 Special Considerations for Service Process Strategies 325 Robots 349 Single-Product Case 322 Production Technology 345 348 Capacity and Constraint Management 339 340 Transportation Model Capacity and Strategy 342 Capacity Considerations 343 343 340 380 381 Service Location Strategy Design and Effective Capacity Managing Demand Center-of-Gravity Method 378 382 OM in Action: How La Quinta Selects Profitable Hotel Sites 383 Geographic Information Systems Summary 385 383
12 TABLE OF CONTENTS Key Terms Bibliography 385 Ethical Dilemma Chapter 9 Rapid Review 386 Discussion Questions Self Test 386 Using Software to Solve Location Problems Solved Problems Problems 386 387 389 CASESTUDY Southern Recreational Vehicle Company 394 395 Locating the Next Red Lobster Restaurant Where to Place the Hard Rock Cafe Endnote Constraints on Human Resource Strategy 442 395 Labor Planning 397 Work Schedules 398 443 443 Job Classifications and Work Rules Job Design Chapter 9 443 Employment-Stability Policies 396 Chapter 8 Rapid Review Self Test Human Resources, Job Design, and Work Measurement 439 Human Resource Strategy for Competitive Advantage 442 395 396 Bibliography Chapter 10 437 438 GLOBAL COMPANY PROFILE: NASCAR’s Racing Teams: High-Performance Teamwork Makes the Difference Between Winning and Losing 440 394 VIDEO CASE STUDIES 436 Layout Strategies 399 Labor Specialization GLOBAL COMPANY PROFILE: McDonald’s: McDonald’s Looks for Competitive Advantage Through Layout 400 The Strategic Importance of Layout Decisions Types of Layout 402 402 444 444 Job Expansion 444 445 Psychological Components of Job Design Self-Directed Teams 445 446 Office Layout 403 OM in Action: Using Incentives to Unsnarl Traffic Jams in the OR 447 Retail Layout 404 Motivation and Incentive Systems Servicescapes 407 Ergonomics and the Work Environment Warehouse and Storage Layouts 407 Methods Analysis Cross-Docking The Visual Workplace Customizing 408 409 Labor Standards 409 409 Process-Oriented Layout Time Studies 410 Work Cells 414 415 415 418 Solved Problems 423 Problems 423 424
463 464 466 CASE STUDY Using Software to Solve Layout Problems 469 Fast Fresh Pastry 469 425 VIDEO CASE STUDIES 427 469 The “People Focus: Human Resources at Alaska Airlines 470 433 State Automobile License Renewals VIDEO CASE STUDIES 463 Discussion Questions Discussion Questions CASE STUDY 462 Ethical Dilemma 423 Solved Problems 459 462 Key Terms 423 Ethical Dilemma Problems 417 457 462 Summary Repetitive and Product-Oriented Layout Key Terms 453 OM in Action: UPS: The Tightest Ship in the Shipping Business 458 Ethics Focused Factory 417 Summary 452 453 Work Sampling Focused Work Center 417 Assembly-Line Balancing 452 Predetermined Time Standards Computer Software for Process-Oriented Layouts Focused Facilities 449 Historical Experience Fixed-Position Layout 447 OM in Action: The Missing Perfect Chair 448 OM in Action: Amazon Warehouses Are Full of Robots 408 Random Stocking 447 433 Hard Rock’s Human Resource Strategy 470 434 Bibliography Laying Out Arnold Palmer Hospital’s New Facility Facility Layout at Wheeled Coach 435 434 470 Chapter 10 Rapid Review Self Test 472 471
13 TABLE OF CONTENTS PART THREE Chapter 11 ...................................................... 473 Managing Operations Supply Chain Management Key Terms 473 496 GLOBAL COMPANY PROFILE: Red Lobster: Red Lobsters Supply Chain Yields a Competitive Advantage 474 Ethical Dilemma The Supply Chain’s Strategic Importance Solved Problem 476 OM in Action: A Rose Is a Rose, but Only Ifit Is Fresh 478 Sourcing Issues: Make-or-Buy and Outsourcing 478 Make-or-Buy Decisions Outsourcing 497 499 499 Supply Chain Management at Regal Marine Arnold Palmer Hospital’s Supply Chain 479 Bibliography 479 Self Test OM in Action: The Complex Supply Chain for Apple and Samsung 480 Vertical Integration 501 502 Supplement 11 Supply Chain Management Analytics 503 480 481 499 500 500 Chapter 11 Rapid Review 479 Joint Ventures Problems 496 497 Darden s Global Supply Chains 479 Six Sourcing Strategies Few Suppliers Discussion Questions VIDEO CASE STUDIES 479 Many Suppliers 496 Techniques for Evaluating Supply Chains 504 Keiretsu Networks 481 Evaluating Disaster Risk in the Supply Chain Virtual Companies 481 Managing the Bullwhip Effect Supply Chain Risk 481 A Bullwhip Effect Measure Risks and Mitigation Tactics 482 Supplier Selection Analysis Managing the Integrated Supply Chain 483 Issues in Managing the Integrated Supply Chain Opportunities in Managing the Integrated Supply Chain 484 Building the Supply Base Supplier Evaluation 506 OM in Action: RFID Helps Control the Bullwhip Security and JIT 483 485 Warehouse Storage Summary 509 Discussion Questions Problems 511 511 513 Supplier Development 486
Bibliography Negotiations Supplement 11 Rapid Review Contracting 486 487 Self Test Centralized Purchasing E-Procurement Shipping Systems Chapter 12 488 488 Third-Party Logistics (3PL) Distribution Management 490 490 Supply Chain Management Ethics ABC Analysis 519 522 522 Assets Committed to Inventory 492 494 523 523 OM in Action: Inventory Accuracy at Milton Bradley 525 491 Measuring Supply Chain Performance 496 Functions of Inventory Managing Inventory Record Accuracy Establishing Sustainability in Supply Chains 492 Benchmarking the Supply Chain Inventory Management Types of Inventory 522 Ethics and Sustainable Supply Chain Management 491 Summary 518 The Importance of Inventory 489 OM in Action: DHL’s Role in the Supply Chain 495 517 GLOBAL COMPANY PROFILE: Amazon.com: Inventory Management Provides Competitive Advantage at Amazon.com 520 Warehousing 489 The SCOR Model 516 487 487 Logistics Management 509 511 Solved Problems 486 507 508 Transportation Mode Analysis 483 504 505 Cycle Counting 492 525 525 Control of Service Inventories 526 OM in Action: Retail’s Last 10 Yards Inventory Models 527 527 Independent vs. Dependent Demand 527 Holding, Ordering, and Setup Costs 527
14 TABLE OF CONTENTS Inventory Models for Independent Demand 528 The Basic Economic Order Quantity (EOQ) Model 528 Minimizing Costs Reorder Points 529 533 Production Order Quantity Model Quantity Discount Models 534 537 Probabilistic Models and Safety Stock Other Probabilistic Models 540 543 Single-Period Model 545 Fixed-Period (P) Systems 546 Summary 547 Key Terms 547 Ethical Dilemma 547 Discussion Questions 547 Using Software to Solve Inventory Problems Solved Problems 549 Problems 552 CASE STUDY 557 Zhou Bicycle Company VIDEO CASE STUDIES Andrew-Carter, Inc. VIDEO CASE STUDY 548 557 Managing Inventory at Frito-Lay 558 Inventory Control at Wheeled Coach Endnotes 560 Bibliography 560 Chapter 12 Rapid Review Self Test 562 558 559 570 Mixing Options to Develop a Plan Methods for Aggregate Planning Graphical Methods 563 Hospitals 572 579 604 604 MRP Structure 605 MRP Management 609 MRP Dynamics 609 MRP Limitations 610 Lot-Sizing Techniques 610 Extensions of MRP 614 Closed-Loop MRP 615 Capacity Planning 615 614 617 Distribution Resource Planning (DRP) 618 Enterprise Resource Planning (ERP) 618 ERP in the Service Sector 621 580 National Chains of Small Service Firms 580 580 Airline Industry 581 Revenue Management 604 OM in Action: Managing Benetton with ERP Software 619 580 Miscellaneous Services 602 Lead Times for Components MRP in Services 571 577 Aggregate Planning in Services Restaurants 601 Material Requirements Planning II (MRP II) 569 572 Mathematical Approaches GLOBAL COMPANY PROFILE: Wheeled Coach: MRP Provides a Competitive Advantage for Wheeled Coach 598 Dependent
Demand 600 Dependent Inventory Model Requirements 600 Purchase Orders Outstanding OM in Action: Building the Pian at Snapper 569 Demand Options 595 Chapter 14 Material Requirements Planning (MRP) and ERP 597 ßills of Material Aggregate Planning Strategies 569 Bibliography 594 Chapter 13 Rapid Review Self Test 596 Accurate Inventory Records 561 GLOBAL COMPANY PROFILE: Frito-Lay: Aggregate Planning Provides a Competitive Advantage at Frito-Lay 564 The Planning Process 566 Sales and Operations Planning 567 The Nature of Aggregate Planning 568 Capacity Options 593 594 Master Production Schedule Chapter 13 Aggregate Planning and S OP 586 Using Revenue Management to Set Orlando Magic Ticket Prices 594 558 Inventory Management at Celebrity Cruises Summary 584 Key Terms 584 Ethical Dilemma 585 Discussion Questions 585 Using Software for Aggregate Planning Solved Problems 588 Problems 589 CASESTUDY 593 581 OM in Action: Revenue Management Makes Disney the “King” of the Broadway Jungle 582 Summary 621 Key Terms 621 Ethical Dilemma 621 Discussion Questions 622 Using Software to Solve MRP Problems Solved Problems 623 Problems 626 622
TABLE OF CONTENTS CASESTUDY 630 Endnotes Hill’s Automotive, Inc, VIDEO CASE STUDIES 630 When 18,500 Orlando Magic Fans Come to Dinner 630 631 Self Test Chapter 15 633 634 Short-Term Scheduling 635 GLOBAL COMPANY PROFILE: Alaska Airlines: Scheduling Flights When Weather Is the Enemy 636 The Importance of Short-Term Scheduling Scheduling Issues 638 638 Forward and Backward Scheduling 676 OM in Action: Toyota’s New Challenge 681 Lean Organizations 647 Scheduling Services Lean Sustainability Lean in Services Summary 688 Key Terms 653 689 689 690 Ethical Dilemma 654 691 Discussion Questions Solved Problem Scheduling Service Employees with Cyclical Scheduling 655 VIDEO CASE STUDIES Problems 691 691 692 693 Lean Operations at Alaska Airlines 657 JIT at Arnold Palmer Hospital 657 Endnote 657 Discussion Questions Using Software for Short-Term Scheduling 658 662 Chapter 17 666 Old Oregon Wood Store 695 696 Maintenance and Reliability 697 GLOBAL COMPANY PROFILE: Orlando Utilities Commission: Maintenance Provides a Competitive Advantage for the Orlando Utilities Commission 698 666 667 From the Eagles to the Magic: Converting the Amway Center 667 Scheduling at Hard Rock Cafe 694 Chapter 16 Rapid Review Self Test 660 693 693 694 Bibliography 657 689 690 OM in Action: Starbucks’ Controversial Scheduling Software 655 VIDEO CASE STUDIES 688 688 Building a Lean Organization 647 687 OM in Action: Lean Delivers the Medicine Finite Capacity Scheduling (FCS) Problems 687 Processes and Standard Work Practice 644 Limitations of Rule-Based Sequencing Systems 652 CASESTUDY 687 687 OM in Action: Dr
Pepper’s Move to Kaizen Sequencing N Jobs on Two Machines: Johnson s Rule 651 Solved Problems 684 687 Respect for People 650 Ethical Dilemma 679 Lean and the Toyota Production System 641 642 Priority Rules for Sequencing Jobs Key Terms 678 680 Lean Quality 643 Sequencing Jobs 677 Improve Throughput 678 Continuous Improvement Assignment Method Summary 673 Remove Variability 678 Lean Inventory 641 Critical Ratio 676 Eliminate Waste Lean Scheduling 640 Input-Output Control Gantt Charts Lean Operations Lean Layout 640 Scheduling Process-Focused Facilities Loading Jobs Lean Operations Supplier Partnerships 639 OM in Action: Prepping for the Orlando Magic Basketball Game 640 Scheduling Criteria 672 Lean and Just-in-Time Finite and Infinite Loading 671 GLOBAL COMPANY PROFILE: Toyota Motor Corporation: Achieving Competitive Advantage with Lean Operations at Toyota Motor Corporation 674 632 Chapter 14 Rapid Review Self Test Chapter 16 631 Bibliography 670 Chapter 15 Rapid Review MRP at Wheeled Coach Endnotes 670 Bibliography 630 1 669 The Strategic Importance of Maintenance and Reliability 700 Reliability 701
16 TABLE OF CONTENTS System Reliability 701 Providing Redundancy Maintenance 703 705 Implementing Preventive Maintenance Increasing Repair Capabilities Autonomous Maintenance 708 708 Total Productive Maintenance Summary 709 Key Terms 709 Ethical Dilemma 709 PART FOUR Module A 705 Maintenance Drives Profits at Frito-Lay 709 Bibliography 712 Chapter 17 Rapid Review Self Test 714 Business Analytics Modules Decision-Making Tools Decision Making Under Uncertainty 718 Decision Making Under Certainty 720 A More Complex Decision Tree Festival App Changes in the Resources or Right-Hand-Side Values 742 Changes in the Objective Function Coefficient Solving Minimization Problems Diet Problem Example 725 735 A Fixed-Charge Integer Programming Problem 751 VIDEO CASE STUDY 761 Endnotes 762 Bibliography 762 Module В Rapid Review Self Test 764 763 737 Graphical Representation of Constraints 739 741 738 Module C 752 761 Scheduling Challenges at Alaska Airlines Graphical Solution to a Linear Programming Problem 738 Corner-Point Solution Method 749 Summary 752 Key Terms 752 Discussion Questions 752 Using Software to Solve LP Problems Solved Problems 754 Problems 756 CASESTUDY 761 Why Use Linear Programming? 736 Requirements of a Linear Programming Problem 736 Formulating Linear Programming Problems 736 Iso-Profit Line Solution Method 748 Linear Programming Applications with Binary Variables 750 733 Glickman Electronics Example 74 7 Creating Integer and Binary Variables 732 Linear Programming 746 746 The Simplex Method of LP 749 Integer and Binary Variables 749 GuitarsToday: Assembly Module В
744 745 Labor Scheduling Example 723 Summary 725 Key Terms 725 Discussion Questions 725 Using Software for Decision Models Solved Problems 727 Problems 728 CASESTUDY 732 Endnote 732 Bibliography 732 Module A Rapid Review Self Test 734 741 742 Production-Mix Example 722 712 713 Linear Programming Applications Expected Value of Perfect Information (EVPl) 720 Decision Trees Sensitivity Report OM in Action: LPat UPS 719 710 ........................................................... 715 Sensitivity Analysis 715 The Decision Process in Operations 716 Fundamentals of Decision Making 716 Decision Tables 717 Types of Decision-Making Environments 718 Decision Making Under Risk Discussion Questions 709 Using Software to Solve Reliability Problems Solved Problems 710 Problems 710 VIDEO CASE STUDY 712 Transportation Models 765 Transportation Modeling 766 Developing an Initial Solution 767 The Northwest-Corner Rule 767 The Intuitive Lowest-Cost Method 769 761 743
TABLE OF CONTENTS The Stepping-Stone Method 770 Special Issues in Modeling 773 Demand Not Equal to Supply Degeneracy Module E Summary 774 Key Terms 774 Discussion Questions 774 Using Software to Solve Transportation Problems 774 Solved Problems 776 Problems 777 CASESTUDY 779 Module D Doubling Approach Formula Approach Arrival Characteristics Bibliography 824 Module E Rapid Review Self Test 826 784 Module F 786 786 Measuring a Queue’s Performance 788 OM in Action: Zero Wait Time Guarantee at This Michigan Hospital’s ER 788 Queuing Costs 789 The Variety of Queuing Models 789 Model A (M/M/1): Single-Server Queuing Model with Poisson Arrivals and Exponential Service Times 790 Model В (M/M/S): Multiple-Server Queuing Model 792 Model C (M/D/1): Constant-Service-Time Modei Little’s Law 797 798 Mode! D (M/M/1 with Finite Source): Finite-Population Model 798 Other Queuing Approaches 800 Summary 800 Key Terms 800 Discussion Questions 801 Using Software to Solve Queuing Problems Solved Problems 802 Problems 803 CASESTUDY 807 New England Foundry 807 Waiting in line: QuickMart Grocery Endnotes 808 Bibliography 808 Module D Rapid Review Self Test 810 815 823 825 784 Waiting-Line Characteristics Service Characteristics SMT’s Negotiation with IBM 783 Queuing Theory 784 Characteristics of a Waiting-Line System 814 Strategic Implications of Learning Curves 818 Limitations of Learning Curves 819 Summary 819 Key Term 819 Discussion Questions 819 Using Software for Learning Curves 820 Solved Problems 820 Problems 821 CASESTUDY 823 781 Waiting-Line Models 813 814 Learning-Curve Table Approach
779 Bibliography 780 Module C Rapid Review Self Test 782 811 What Is a Learning Curve? 812 Learning Curves in Services and Manufacturing Applying the Learning Curve 814 773 773 Custom Vans, Inc. Learning Curves 17 808 Simulation 827 What Is Simulation? 828 Advantages and Disadvantages of Simulation Monte Carlo Simulation 830 OM in Action: Simulation Takes the Kinks Out of Starbucks’ Lines 833 Simulation with Two Decision Variables: An Inventory Example 833 Summary 835 Key Terms 835 Discussion Questions 835 Using Software in Simulation 836 Solved Problems 837 Problems 838 CASESTUDY 841 Alabama Airlines’Call Center 841 Endnote 842 Bibliography 842 Module F Rapid Review Self Test 844 843 801 Module G Applying Analytics to Big Data in Operations Management 845 Introduction to Big Data and Business Analytics OM in Action: UPS Forecasting Improves Logistics Planning Through Predictive Analysis 847 Data Management 847 Graphical Techniques for Cleaning Data 809 829 Excel Techniques for Cleaning Data Using Excel’s PivotTable Tool 850 847 848 846
18 TABLE OF CONTENTS Data Visualization 852 Endnote Using Excel’s Visualization Tools 852 Module G Rapid Review Self Test 860 Other Business Analytics Tools Not Covered in This Text 854 Key Terms 855 855 Discussion Questions Solved Problems Problems 858 Bibliography Predictive and Prescriptive Business Analytics Tools 854 Summary 857 855 Appendix I Normal Curve Areas Appendix II Using Excel 0M and POM for Windows A4 Appendix III Solutions to Even-Numbered Problems Name Index 856 A2 A8 11 General Index 857 859 I4 ONLINE TUTORIALS (located at MyLa b Ope rations Management) 1. Statistical Tools for Managers Discrete Probability Distributions Discussion Questions Problems T3-9 T1-1 T1-2 Expected Value of a Discrete Probability Distribution Variance of a Discrete Probability Distribution Continuous Probability Distributions The Normal Distribution Summary 4. T1-4 T1-7 Double Sampling T2-1 5. T2-2 Vehicle Routing and Scheduling Introduction T2-2 Sequential Sampling T2-2 T5-2 Converting the Constraints to Equations T3-2 Setting Up the First Simplex Tableau T3-2 Simplex Solution Procedures T3-4 Summary of Simplex Steps for Maximization Problems T3-6 Artificial and Surplus Variables T3-7 Solving Minimization Problems T3-7 Summary T3-8 Key Terms T3-8 Solved Problem T3-8 T5-2 Objectives of Routing and Scheduling Problems T5-2 Characteristics of Routing and Scheduling Problems T5-3 Classifying Routing and Scheduling Problems Solving Routing and Scheduling Problems Routing Service Vehicles The Traveling Salesman Problem T5-5 Multiple Traveling Salesman Problem T3-1 T5-8 T5-9 Cluster
First, Route Second Approach Scheduling Service Vehicles T5-10 T5-11 The Concurrent Scheduler Approach T5-13 Other Routing and Scheduling Problems Summary T5-14 Key Terms T5-15 Discussion Questions Problems T5-15 CASESTUDY T5-17 T5-17 T5-13 T5-15 Routing and Scheduling of Phlebotomists Bibliography T5-3 T5-4 T5-5 The Vehicle Routing Problem The Simplex Method of Linear Programming T5-1 Service Delivery Example: Meals-for-ME Operating Characteristic (OC) Curves T2-2 Producer’s and Consumer’s Risk T2-3 Average Outgoing Quality T2-5 Summary T2-6 Key Terms T2-6 Solved Problem T2-7 Discussion Questions T2-7 Problems T2-7 3. T4-2 Vogel’s Approximation Method: Another Way to Find an Initial Solution T4-4 Discussion Questions T4-8 Problems T4-8 T2-2 Single Sampling T4-2 How to Use the MODI Method Solving the Arizona Plumbing Problem with MODI T4-2 Acceptance Sampling Sampling Plans The MODI and VAM Methods of Solving Transportation Problems T4-1 MODI Method T1-4 T1-7 Key Terms T1-7 Discussion Questions Problems T1-7 Bibliography T1-7 2. T1-3 T1-3 T3-8 T5-17
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| author | Heizer, Jay H. 1935- Render, Barry 1946- Munson, Chuck |
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| author_role | aut aut aut |
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| building | Verbundindex |
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| 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 | Thirteenth edition, global edition |
| format | Book |
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| id | DE-604.BV046039509 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:41:34Z |
| institution | BVB |
| isbn | 9781292295039 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031421230 |
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| physical | 858, A18, I30 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
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| publisher | Pearson |
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| spellingShingle | Heizer, Jay H. 1935- Render, Barry 1946- Munson, Chuck Operations management sustainability and supply chain management Produktion (DE-588)4047347-8 gnd Management (DE-588)4037278-9 gnd Operations Management (DE-588)4549167-7 gnd |
| subject_GND | (DE-588)4047347-8 (DE-588)4037278-9 (DE-588)4549167-7 (DE-588)4123623-3 |
| title | Operations management sustainability and supply chain management |
| title_auth | Operations management sustainability and supply chain management |
| title_exact_search | Operations management sustainability and supply chain management |
| title_full | Operations management sustainability and supply chain management Jay Heizer, Barry Render, Chuck Munson |
| title_fullStr | Operations management sustainability and supply chain management Jay Heizer, Barry Render, Chuck Munson |
| title_full_unstemmed | Operations management sustainability and supply chain management Jay Heizer, Barry Render, Chuck Munson |
| title_short | Operations management |
| title_sort | operations management sustainability and supply chain management |
| title_sub | sustainability and supply chain management |
| topic | Produktion (DE-588)4047347-8 gnd Management (DE-588)4037278-9 gnd Operations Management (DE-588)4549167-7 gnd |
| topic_facet | Produktion Management Operations Management Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031421230&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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