Operations Management - DSC 3750

Business Administration - Undergraduate, School of Business at NCCU, 2022

Operations Management is the process of planning, organizing and controlling resources in order to produce goods and services to meet the goals of an organization. This course provides an introduction to the management of operating systems, and techniques & methods employed to plan and control goods and service oriented organizations.

Offered during the following semesters: (F17, S18, F18, S19, F19, S20, F20, S21, F21, S22)

List of Tentative Topics:

1. Introduction to Operations Management
• Course Introduction • Overview of curriculum, materials and expectations

2. Competitiveness, Strategy and Productivity
• What do we mean by competition, strategy and productivity in Business Environments • Single and Multi-factor Productivity • Efficiciency and Utilization

3. Forecasting
• Importance of Forecasting for business • Trends, Seasonality, Cycles and Randomness • Forecasting Methods based on averages • Linear trends and Linear Regression • Applied Linear Regression using Spreadsheet Modeling • Error Metrics - MSE, MAPE, MAE • Forecasting Performance and Statistical Control Charts

4. Strategic Capacity Planning
• Cost-Revenue-Volume analysis • Single and Multiple Break even Analysis • Practical Applications using Spreadsheets

5. Location Planning and Analysis
• Factor rating analysis applied to location Planning • Center of gravity method • Practical Applications

6. Optimization Applied to Business Problems
• Introduction to Business Problems as Optimization Models • Applied Computational Linear programming • Practical Applications using Excel Solver

7. Introduction to Decision Analysis
• Introduction to Decision-making under uncertainty • Decision Tables • Decision Trees • Expected Value of Perfect Information (EVPI) • Practical Applications using QM software

8. Management and Control of Quality
• Quality: products and services relationship • Importance of Quality and poor Quality • Costs associated with quality • Total Quality Management • Quality tools and analysis