20200501-Simulation In Industrial Engineering-Eng.Ahmad Naimi

Simulation in Industrial Engineering

Industrial Engineer Data Scientist and Knowledgeable Industrial Engineer, graduated from Jordan University of Science and Technology, Co-Founder of ENLS LAB, work as Chief Development Officer at Excellence Academy ,Production engineer at NIKE, skilled in data analysis, machine learning, business and product development, process improvements, equipment design, waste reduction, Process Simulation, programming, robotics, IOT. Strategic planner and analytical problem solver. History of improving production and maximizing efficiency. Work Experience Progress Company 8/2019 Co-Founder at ENLS Lab 10/2019 Business Development Officer at ENLS Lab Excellence Academy Excellence Academy Nike 12/2019 Production Engineer at Nike Other Ahmad Naimi

Experiences in Simulation • 3 years in training • 5 projects in simulation in 5 companies • 1 paper conference in uarasia conference for science and technology in august /2019

Simulation in Industrial Engineering *OUTLINES* - What is simulation? - Application of Simulation (Supply chain, Facility, maintenance, services such banks and hospitals). - Advantages of Simulation. - Key metric in simulation. - How to build Simulation project for employees, researcher and students. - Decision making based on simulation. - Misconceptions in simulation.

What is Simulation ? See the impact of your business decisions before they are implemented.

Advantages of Simulation Knowing the future is a big competitive advantage 1-Find the Best Approach Evaluate potential alternatives to determine the best approach to optimizing performance. 2-Improve System Performance Understand system performance based on key metrics such as costs, throughput, cycle times, equipment utilization and resource availability. 3-Reduce Risk Reduce risk through rigorous simulation and testing of process changes before committing significant capital or resource expenditures. 4-Reduce Uncertainty Determine the impact of uncertainty and variability on system performance. Run \"what-if\" scenarios to evaluate proposed process changes. 5-Show your results Visualize results with 2D and 3D animation.

Application of Simulation • Supply Chain: Network Design, Efficiency ,Responsiveness of supply Chain. • Quality Control: effect of defect rate reduction on trouped of system. • Inventory Management : estimate inventory level, required space to store inventory ,inventory management policy. • Lean :Bottle neck identification and waste reduction, Reduce lead time. • Facility planning: optimize facility distribution. • Services: hospital “Number of beds ,chairs, nurses, Doctors”, Banks “ number of tellers, required space for waiting”

Key Metrics in Simulation • Cost: Transportation cost, Inventory Cost (Cost related to 7 waste) • Throughput of system (efficiency) • Resource Utilization • Work in Process • Availability of Resources • Cycle Time

How to build Simulation project for employees, researcher and students. Data Input Data Verification Validation Collection and Modeling Problem • Flow Chart Check if the definition and • Know the nature set the target model is of process (manual Use data in mirror Compare or automated) model screen to the between the • Input and output real system directly or real system output and of process the model • Resources by statistical • Availability of analysis resources • Material Handling • Cycle time

So what next ?! • Find the weakness points in the system and lead to the problem • Set Improvements alternatives • The alternatives should be near to reality, applicable. • Don’t forget the cost!!

Questions and Misconceptions? • Best software for simulation? Arena, Simio or promodel etc..? • How I can believe in Simulation ? Source of Accuracy ? • I do validation step correctly why there is difference between output of alternatives in model and the output of actual system ? • When simulation be accurate ?

Thank You