OPERATION MANAGEMENT

Course Description

The intent of this course is to further provide management and analytical concepts/tools for the management of operations and the decision-making process within the scope of the supply chain. Competitive advantage driven by supply chain strategy has been a common practice in the business environment in the past few years. Most of the strategies involve improving operational efficiency either through cost reductions or increase capital efficiency. Decision-making regarding operational issues is one of the most common tasks within organizations. This course will enhance students' ability to perform the quantitative analysis necessary and understand the management issues in order to make good operational decisions within the supply chain. Coverage is topical and will include supply chains issue and strategy, operations management framework, the Six Sigma approach, quality management, demand and supply planning, inventory deployment/control, and transportation networks optimization.

OPERATION MANAGEMENT

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Cachon, G., & Terwiesch, C. (2023). Operations Management, 3e. McGraw-Hill US Higher Ed USE Legacy.

Learning Outcomes

1. L01 Develop ideas on key operational decisions a firm needs to make SOLO 5
2. L02 Explain how to avoid waste in operations SOLO 3
3. L03 Explain the different types of inventory SOLO 3
4. L04 Explain and evaluate different supply chain strategies SOLO 4
5. L05 Analyze critical activities in projects SOLO 4

Program Outcomes

1. Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
2. Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
3. Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
4. Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
5. Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
6. Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
7. dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
8. Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
9. Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
10. Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
11. Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
12. Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.

Po-Lo Matrix