Operations Management: Sustainability & Supply Chain Management (12th Edition)

Description

For courses in operations management.

A broad introduction to operations, reinforced with extensive practice problems

Operations Management: Sustainability and Supply Chain Management presents a broad introduction to the field of operations in a realistic and practical manner, while offering the largest and most diverse collection of issues on the market. Solved problems and worked examples found in the 12th Edition provide ample support — to help readers better understand concepts important to today’s operations management professionals.

Key Features

Comprehensive coverage of Operations Management with 7 business analytic modules at the end of the text help students understand how OM affects society and their lives.

• Updated – All content is contemporary and familiarizes students with current trends and practices in operations management today.
• New – 46 Author-created Video Cases (5 of which are new to the 13th Edition) help students see what goes on behind the scenes when they attend a concert or major sporting event, purchase a bag of Frito-Lay potato chips, buy a meal at an Olive Garden or a Hard Rock Cafe, place an order through Amazon.com, board a cruise on Celebrity Cruises, Inc., enter a hospital for medical care, and more.
• New – OM in Action boxes help students better see and understand operations in action within a variety of industries.
• New – A brand new chapter, Applying Analytics to Big Data in OM (Module G), provides info on data management, data visualization, and predictive and prescriptive business analytics tools. Students learn about heat maps, conditional formatting for cleaning data, pivot tables, and more, while numerous exercises strengthen their Excel skills and show them the power of using Excel with big data.

Integrated tools and resources help solve teaching and learning challenges.

• New – Learning Objectives outline what students should know after reading the chapter, helping them to take ownership of their learning.
• New and Updated – Figures and Tables highlight important information on globalization, employment, world trade, product life cycle changes, and more. These exhibits also appeal to visual learners.
• End-of-Chapter Rapid Reviews capture the essence of the material, helping students study and learn the concepts more effectively. This detailed, yet concise, summary of the main points and equations in the chapter helps students prepare for homework, exams, and lectures. Rapid Reviews also include key chapter terms and a self-test, with questions linked to the learning objectives in the chapter.
• Author Comments point out why a particular section, figure, or table is important, helping students better understand key information and concepts.
• An Ethical Dilemma offers broad coverage of ethics as it applies to OM, and can be used for classroom discussion or homework.

Table of Contents

1. PART I: INTRODUCTION TO OPERATIONS MANAGEMENT
   1. Operations and Productivity
   2. Operations Strategy in a Global Environment
   3. Project Management
   4. Forecasting
2. PART II: DESIGNING OPERATIONS
   1. Design of Goods and Services
   2. Supplement 5: Sustainability in the Supply Chain
   3. Managing Quality
   4. Supplement 6: Statistical Process Control
   5. Process Strategies
   6. Supplement 7: Capacity and Constraint Management
   7. Location Strategies
   8. Layout Strategies
   9. Human Resources, Job Design, and Work Measurement
3. PART III: MANAGING OPERATIONS
   1. Supply Chain Management
   2. Supplement 11: Supply Chain Management Analytics
   3. Inventory Management
   4. Aggregate Planning and S&OP
   5. Material Requirements Planning (MRP) and ERP
   6. Short-Term Scheduling
   7. Lean Operations
   8. Maintenance and Reliability
4. PART IV: BUSINESS ANALYTICS MODULES
   1. Module A: Decision-Making Tools
   2. Module B: Linear Programming
   3. Module C: Transportation Models
   4. Module D: Waiting-Line Models
   5. Module E: Learning Curves
   6. Module F: Simulation
   7. Module G: Applying Analytics to Big Data in Operations Management