Description

Book Synopsis

About our authors

Jay Heizer

The Jesse H. Jones Professor Emeritus of Business Administration, Texas Lutheran University, Seguin, Texas. He received his BBA and MBA from the University of North Texas and his PhD in Management and Statistics from Arizona State University. He also holds the CPIM certification from APICS/ASCM (the Association for Supply Chain Management). He has taught operations management in undergraduate, graduate, and executive programs.

Dr. Heizer's industrial experience is extensive. He learned the practical side of operations management as a machinist apprentice at Foringer and Company, as a production planner for Westinghouse Airbrake, and at General Dynamics, where he worked in engineering administration.

Professor Heizer has co-authored 5 books and has published articles on a variety of management topics. His papers have appeared in the Academy of Management Journal, Journal of Purchasing, Pers

Table of Contents
PART 1: INTRODUCTION TO OPERATIONS MANAGEMENT

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

Operations Management Sustainability and Supply

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    Description

    Book Synopsis

    About our authors

    Jay Heizer

    The Jesse H. Jones Professor Emeritus of Business Administration, Texas Lutheran University, Seguin, Texas. He received his BBA and MBA from the University of North Texas and his PhD in Management and Statistics from Arizona State University. He also holds the CPIM certification from APICS/ASCM (the Association for Supply Chain Management). He has taught operations management in undergraduate, graduate, and executive programs.

    Dr. Heizer's industrial experience is extensive. He learned the practical side of operations management as a machinist apprentice at Foringer and Company, as a production planner for Westinghouse Airbrake, and at General Dynamics, where he worked in engineering administration.

    Professor Heizer has co-authored 5 books and has published articles on a variety of management topics. His papers have appeared in the Academy of Management Journal, Journal of Purchasing, Pers

    Table of Contents
    PART 1: INTRODUCTION TO OPERATIONS MANAGEMENT

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

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