Advanced Modern Operations Management

Introduction

The "Advanced Modern Operations Management" course is designed to provide participants with a comprehensive understanding of the latest concepts, tools, and techniques in operations management. This course is suitable for professionals and managers who are seeking to enhance their knowledge and skills in effectively managing operations in today's dynamic business environment. Throughout the five-day program, participants will explore the key objectives, strategies, and best practices employed in modern operations management.

Course Objectives

• To provide a deep understanding of the fundamental principles and concepts of operations management.
• To explore the latest trends, technologies, and innovations in operations management.
• To equip participants with the skills to analyze and improve operational performance.
• To examine strategies for optimizing efficiency, quality, and customer satisfaction.
• To enhance participants' ability to make data-driven decisions in operations management.
• To foster effective communication and collaboration within cross-functional teams.
• To develop insights into sustainability and ethical considerations in operations management.

Course Outline

Day 1

 Introduction to Operations Management

• Overview of operations management and its significance in contemporary organizations
• Key functions and responsibilities of operations managers
• Historical evolution and current trends in operations management
• The role of operations management in achieving organizational objectives
• Aligning operations management with overall business strategy
• Case studies and real-world examples

Day 2

 Strategic Operations Management

• Strategic planning and decision-making in operations management
• Formulating operations strategies to gain competitive advantage
• Designing and managing efficient and effective processes
• Supply chain management and logistics optimization
• Lean principles and practices for operational excellence
• Application of technology and digital transformation in operations management

Day 3

 Performance Measurement and Improvement

• Key performance indicators (KPIs) and metrics in operations management
• Data analytics and performance measurement tools
• Continuous improvement methodologies (e.g., Six Sigma, Kaizen)
• Quality management systems and approaches (e.g., ISO, Total Quality Management)
• Risk management and mitigation strategies
• Case studies and practical exercises

Day 4

 Managing Operations in a Global Context

• Global operations management challenges and opportunities
• Managing operations in a multicultural and diverse environment
• Outsourcing and offshoring considerations
• Supplier relationship management and strategic sourcing
• Managing risks and disruptions in global supply chains
• Ethical and sustainable operations management practices

Day 5

 Innovation and Future Trends in Operations Management

• Innovation in operations management: concepts and frameworks
• Managing disruptive technologies and digital transformation
• Industry 4.0 and the Internet of Things (IoT)
• Artificial intelligence (AI) and machine learning in operations management
• Emerging trends and future directions in operations management
• Final project presentations and wrap-up