9780324008968

Principles of Operations Management (with CD-ROM and InfoTrac)

by ;
  • ISBN13:

    9780324008968

  • ISBN10:

    0324008961

  • Edition: CD
  • Format: Paperback
  • Copyright: 2004-02-18
  • Publisher: Cengage Learning

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

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Supplemental Materials

What is included with this book?

Summary

Raturi's Principles of Operations Management is an abbreviated operations management book aimed specifically at the 4 to 10 week long MBA-level OM course.

Author Biography

Amitabh S. Raturi: University of Cincinnati James R. Evans: University of Cincinnati

Table of Contents

Preface
The Scope and Language of Operations Managementp. 1
What Is Operations Management?p. 1
Operations Management and Competitivenessp. 3
Products, Processes, and Supply Chainsp. 5
Key Decisions in Operations Managementp. 12
Evolution and Challenges of Modern Operations Managementp. 22
Operations Strategy and Performance Measurementp. 32
Strategy and Strategic Planningp. 32
Operations Strategy as Rational Choicep. 39
Operations Strategy as an Organizational Processp. 47
Operations Strategy as a Political Processp. 50
Applying the Perspectives on Operations Strategyp. 52
Measuring Operations Performancep. 52
Product and Service Design and Developmentp. 65
The Role of Operations in Product and Service Developmentp. 65
The Product Life Cycle and the Economics of Product Developmentp. 67
Speed-to-Marketp. 68
Structured Product Development Processesp. 71
Product Development as a Cross-Functional Activityp. 84
Emerging Issues in Product Developmentp. 87
Process Design and Improvementp. 96
The Importance of Processesp. 97
Process Thinkingp. 99
Process Technologyp. 103
Work System Issues in Process Designp. 105
Measuring Process Time Performancep. 108
Process Variabilityp. 111
Process Design and Flexibilityp. 116
Process Improvementp. 120
Facilities and Capacity Planningp. 130
Strategic Importance of Facilities and Capacityp. 130
Facility Chartersp. 134
Capacity Measurement and Planningp. 141
Timing of Capacity Decisionsp. 153
Quality Managementp. 163
Defining Qualityp. 163
Evolution and Importance of Quality Managementp. 166
Principles of Total Qualityp. 168
Foundations of Modern Quality: Philosophies of Deming, Juran, and Crosbyp. 169
Quality Management Frameworksp. 173
Quality Control Systemsp. 182
Quality Improvementp. 189
Supply Chain Managementp. 196
Supply Chainsp. 196
The Role of Inventories in Supply Chainsp. 202
Measuring Supply Chain Performancep. 203
Supply Chain Strategy and Structurep. 207
Variability and the Bullwhip Effectp. 212
Managing Supply Chainsp. 217
Evolving Trends in Supply Chain Managementp. 222
Inventory Management and Enterprise Planning Systemsp. 228
Evolution of Enterprise Resource Planningp. 229
Planning Approachesp. 230
Planning and Scheduling with MRPp. 234
Manufacturing Resource Planningp. 242
Enterprise Resource Planningp. 246
Lean Thinking and Just-in-Time Operationsp. 258
Lean Productionp. 258
Operation of a JIT Systemp. 262
Constraint Managementp. 275
Six Sigma and Lean Productionp. 276
Projects in Contemporary Organizationsp. 283
Projects and Project Managementp. 283
Project Life Cyclesp. 293
Structuring and Scheduling Projectsp. 294
Managing Project Resourcesp. 303
Project Budgeting and Earned Value Analysisp. 307
Emerging Challenges in Operations Managementp. 318
Operations Management and Business Performancep. 318
The Changing Landscape of Business and Societyp. 319
Emerging Challenges and Opportunitiesp. 323
Operations Management in a Dynamic Worldp. 338
End Notesp. 341
Indexp. 353
Tools and Techniques in Operations Management
The Role of Quantitative Methods in OM
Linear Optimization Models in OM
The Taguchi Loss Function
Reliability
Queuing Models
Assembly-Line Balancing
Decision Analysis
Scoring Models for Facility Location
Center-of-Gravity Method
Forecasting
The Seven QC Tools
Poka-Yoke (Mistake-Proofing)
Process Capability Analysis
Statistical Process Control
Quantitative Inventory Models
Lot Sizing Techniques
Scheduling and Sequencing
Optimization and Probabilistic Models for Project Management
Table of Contents provided by Ingram. All Rights Reserved.

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