The goal of this course is to introduce planning concepts in production systems with an emphasis on service operations. The course teaches mathematical models and analytical tools for inventory management under stochastic demand, revenue management, capacity management in terms of workforce planning and outsourcing, customer relations management, and public and non-governmental services planning. The course also aims to teach the information architecture in typical manufacturing and service organizations and to introduce conceptual models of enterprise resource planning applications.
Upon successful completion of this course, students will be able to
1. Examine dynamics of inventory management, suitable inventory control policies, and associated optimal policy parameters (B4, a2, e)
2. Adress deterministic and stochastic models for capacity management (B3, a2, e)
3. Solve models for revenue maximization (B3, a2, e)
4. Make inferences to identify policies to retain and increase customer base by using mathematical and statistical tools (B4, a2, b2)
5. Comprehend the scope and various aspects of enterprise resource planning applications. (B2, j, k)
6. Describe concepts/keywords within sustainable operations and logistics field and related standards.
Fitzsimmons J.A. and Fitzsimmons M.J. (2006), Service Management, McGraw-Hill/Irwin
Workload | Hrs |
---|---|
Lectures | 42 |
Course Readings | 32 |
Observation | 8 |
Exams/Quizzes | 86 |
Total | 168 |