MODIFIED Final Presentation - JAVID
- 2. Javid Mahmoudzadeh Akherat • Ph.D. Candidate, Mechanical and Aerospace Engineering Illinois Institute of Technology Specialized in optimization and modeling • Optimization of machining sequence in Genoa plant Operations Research, Team work! • Joining the R&D in TEXTRON family Assuming leadership/management roles in the future • Implementation of pure mathematics concepts to the world of manufacturing Filling the gap between academia and industry • More interactions/communication with other intern projects
- 3. Objective: • Optimization of machining sequence in a high-mix, low-volume facility that takes up to 100 parts on a machine, via a dynamic system Methodology: • Setup time = Tool change over time + Bar stock (raw material) change over time • Computer Aided Process Planning: Traveling Salesman Problem solved with Genetic Algorithm Brute Force • Long Computa-on -mes, infeasible! Nearest Neighbor Algorithm • Local op-mum, not a global op-miza-on. Gene6c Algorithm • Finds the op-mal sequence with reasonable computa-on. Results: • An intelligent, dynamic framework • Optimized, prioritized setups with minimal tool/bar stock change over
- 4. Implementation – Observations: 61 57 70 45 74 47 79 58 Eurotech Nakamura Week 25 Week 26 Week 27 Week 28 Up#me % Part Quality Issue 83 85 85 89 76.5 81 67.5 65 70 75 80 85 90 95 Monthly Average Setup Time (Min) Eurotech 8259 Week 1 (4 setups) Week 2 (5 setups) Week 3 (No setups) Week 4 (6 setups) Savings: 90 min Savings: 60 min -‐ Savings: 196 min Nakamura 7743 Week 1 Week 2 (5 setups) Week 3 (2 setups) Week 4 (6 setups) Missing material + Tools Savings: 30 min Savings: 30 min -‐ Machine Time Savings