Anas Abdul Majeed Email & Phone Number

Illinois, United States

East Peoria, Illinois, United States

Description and Responsibilities: • Analyzed routing and machine numbers for five critical parts within the DPG (Diverse Product Groups) CAM Cell area to identify inefficiencies and opportunities for improvement.• Utilized advanced analytical tools to assess production flow and identify bottleneck machines.• Collaborated with production schedulers and mechanical engineers to propose strategic changes aimed at minimizing forklift travel distance and reducing buffer times.• Presented three viable options for process improvement, including machine relocation and investment assessments for optimal returns.• Developed future state spaghetti maps to visualize proposed changes and conducted comparative analyses to quantify benefits in terms of cost savings and time efficiency.Achievements:• Successfully reduced production lead time by 384 hours, resulting in a 6.26% increase in production efficiency.• Generated cost savings totaling $819,602 through strategic improvements, with a minimal investment of $66,000 solely attributed to tooling costs.

Peoria, Illinois, United States

• Successfully implemented a Six Sigma DMAIC project focusing on surface roughness improvement in a critical assembly part made of Aluminum 6061, with a defect rate of 3.29%.• Identified a quality problem resulting in a defect rate exceeding specifications due to higher than acceptable surface roughness, leading to significant rework costs.• Utilized Cause and Effect Matrix analysis to identify critical parameters affecting surface roughness, including baseline finish cut, spindle speed, feed rate, depth of cut, and coolant usage.• Determined optimal process parameters, resulting in significant improvements in surface roughness and defect reduction.• Achieved a reduction in defect rate from 3.29% to 0.13%, resulting in annual cost savings of $189,600.Improved process capability indices (Cp) from 1.03 to 1.07 and (Cpk) from 0.61 to 1.01, ensuring tighter control over the manufacturing process.Optimized Parameters:Identified and validated the best parameters for achieving the desired surface roughness, including:Finish Cut: Baseline Finish CutFeed Rate: 7 in/revSpindle Speed: 1200 rpmDepth of Cut: 0.02 inCoolant: Off

Master Of Science - Ms, Manufacturing Engineering, 3.55

Master of Science in Manufacturing Engineering at Bradley University with a focus on advanced manufacturing processes and Lean Six Sigma.

Bachelor'S Degree, Mechanical Engineering, 3.33

Activities and Societies: I was involved in various extracurricular activities and societies, where I honed my leadership and teamwork.