Participants will learn how to identify areas for improvement and apply best practices to optimize existing processes for better outcomes.

By the end of this course, participants will be able to:

• Understand key concepts in process design and optimization
• Identify inefficiencies and bottlenecks in processes
• Apply various process modeling techniques to design or improve processes
• Use process improvement tools such as Lean, Six Sigma, and Theory of Constraints
• Develop and implement process optimization strategies to increase efficiency and reduce costs
• Measure the success of process changes using key performance indicators (KPIs)

This course is ideal for:

• Process engineers and analysts
• Operations managers and team leaders
• Project managers and business analysts
• Supply chain managers
• Quality control and continuous improvement professionals
• Consultants and business owners aiming to optimize operations

This interactive Training will be highly interactive, with opportunities to advance your opinions and ideas and will include:
• Lectures
• Workshop & Work Presentation
• Case Studies and Practical Exercise
• Videos and General Discussions

Day 1: Introduction to Process Design and Optimization

• Defining process design and optimization
• The importance of process design in organizational performance
• Types of processes: business processes, manufacturing processes, service processes
• Process flow analysis and the relationship between inputs, processes, and outputs
• Key principles of process design: simplicity, flexibility, and scalability
• Identifying process inefficiencies and areas for improvement

Day 2: Process Mapping and Modeling Techniques

• Introduction to process mapping: benefits and types of diagrams (flowcharts, SIPOC, value stream maps)
• Tools for mapping processes: Microsoft Visio, Lucidchart, and others
• Creating process maps for current-state processes (As-Is)
• Designing future-state processes (To-Be) using process models
• Analyzing process bottlenecks, redundancies, and inefficiencies
• Case study: Mapping and analyzing a real process

Day 3: Process Improvement Methodologies

• Lean principles: Eliminating waste (TIMWOOD), Kaizen, Value Stream Mapping
• Six Sigma methodology: DMAIC (Define, Measure, Analyze, Improve, Control)
• Theory of Constraints: Identifying and managing bottlenecks
• Total Quality Management (TQM) and its impact on process improvement
• FMEA (Failure Modes and Effects Analysis) and root cause analysis
• Applying these methodologies in practice: Group exercises and case studie

Day 4: Optimization Techniques and Tools

• Introduction to process optimization: objectives, constraints, and goals
• Identifying optimization opportunities using performance metrics and data analysis
• Techniques for optimization: Linear programming, simulation modeling, and queuing theory
• Using data to optimize process flow and resource allocation
• Introduction to process automation and digital tools for optimization
• Practical application: Optimizing a process with tools and techniques

Day 5: Implementing and Monitoring Process Optimization

• Developing and implementing an action plan for process improvements
• Key Performance Indicators (KPIs) for measuring process effectiveness
• Monitoring the performance of optimized processes and ensuring sustainability
• Overcoming resistance to change: Change management techniques
• Continuous improvement: The PDCA cycle (Plan-Do-Check-Act)
• Final case study: Design and optimize a process from start to finish
• Course review, Q&A, and certification (optional)

A RECTUS attendance certificate will be awarded to all participants who complete at least 80% of the total course duration.