Production Engineering is a multidisciplinary field that focuses on optimizing the production process to ensure efficiency, quality, and cost-effectiveness
Course Schedule
Classroom Sessions:
Date
Venue
Price
07 - 11 Oct 2024
Doha - Qatar
$ 5,950
Course Description
INTRODUCTION
Production Engineering is a multidisciplinary field that focuses on optimizing the production process to ensure efficiency, quality, and cost-effectiveness. This course provides participants with a comprehensive understanding of production engineering principles, methodologies, and tools to enhance their skills in managing and improving manufacturing processes.
WHY IT MATTERS
In the modern era, data plays a crucial role in decision-making and process optimization. Production engineering heavily relies on data-driven insights to identify bottlenecks, enhance production efficiency, and make informed decisions. This course emphasizes the significance of data in the context of production engineering and equips participants with the knowledge and skills to harness data for continuous improvement.
OBJECTIVES
Understand the fundamental principles of production engineering.
Learn how to collect, analyze, and interpret data for process improvement.
Gain hands-on experience with relevant tools and technologies in production engineering.
Explore best practices for optimizing manufacturing processes.
Develop problem-solving skills to address challenges in production environments.
WHO SHOULD ATTEND ?
This course is designed for:
Production Engineers
Manufacturing Managers
Process Engineers
Quality Assurance Professionals
Operations Managers
Industrial Engineers
Anyone interested in enhancing their knowledge of production engineering and data-driven decision-making.
Course Outline
DAY 1
Introduction to Production Engineering
Overview of production engineering principles
Importance of process optimization
Key challenges in manufacturing
DAY 2
Basics of Data in Production Engineering
Introduction to data-driven decision-making
Types of data relevant to production processes
Data collection methods
DAY 3
Data Analysis Tools and Techniques
Hands-on training with statistical analysis tools
Interpretation of production data
Identifying trends and patterns
DAY 4
Optimization Strategies in Production
Lean manufacturing principles
Six Sigma methodologies
Continuous improvement techniques
DAY 5
Case Studies and Practical Applications
Real-world case studies in production engineering
Applying data analysis and optimization strategies