Industry: Automotive / Off-Highway / Heavy Equipment / Manufacturing
Job Summary
We are seeking an experienced Industrial Engineer with strong hands-on manufacturing and shop floor experience. The ideal candidate will have expertise in Time Study, Line Balancing, Lean Manufacturing, Value Stream Mapping, Process Optimization, and Continuous Improvement.
The role will focus on improving assembly processes, identifying bottlenecks and waste, optimizing productivity, and implementing Lean manufacturing principles across the shop floor.
Key Responsibilities
- Study assembly lines and manufacturing processes to identify improvement opportunities using Lean principles.
- Conduct Time Studies and Line Balancing, including:
- Elemental breakdown
- Station and operator analysis
- VA/NVA/RNVA analysis
- Muri analysis
- Develop and analyze Value Stream Maps (VSM), including:
- Current-state VSM
- Identification of bottlenecks, waste, and inefficiencies
- Capacity analysis and current-state baselining
- Future-state VSM
- Current-state vs. future-state comparison
- Identify process and productivity improvement opportunities and develop improvement roadmaps.
- Develop and revise Standard Work Instructions and video work instructions.
- Perform root cause analysis for quality issues, defects, downtime, and process inefficiencies.
- Support Kaizen and Continuous Improvement initiatives with detailed implementation plans.
- Analyze manufacturing processes to improve productivity, efficiency, throughput, and capacity.
- Support assembly line and process optimization initiatives.
- Provide support for fixture design based on manufacturing requirements.
- Identify and address bottlenecks, waste, downtime, and operational inefficiencies.
- Collaborate with manufacturing, quality, production, and engineering teams to implement process improvements.
Required Qualifications & Skills
- Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or a related engineering discipline.
- 5–7 years of experience in Industrial Engineering / Manufacturing Engineering.
- Strong hands-on shop floor and manufacturing experience.
- Experience with:
- Time Study
- Lean Manufacturing
- Value Stream Mapping (VSM)
- Process Optimization
- Productivity Improvement
- Assembly Process Improvement
- Experience working directly with manufacturing and assembly operations.
- Strong understanding of manufacturing processes, workflow, capacity, productivity, and process efficiency.
Preferred Qualifications
- Experience in Automotive, Off-Highway, Heavy Equipment, Commercial Vehicle, or Industrial Equipment manufacturing.
- Experience with Muri and VA/NVA/RNVA analysis.
- Experience developing and implementing Standard Work.
- Experience with capacity analysis and process optimization.
- Experience analyzing quality defects and manufacturing downtime.
- Lean Six Sigma experience or certification.
- Experience with video time studies.Experience developing current-state and future-state VSMs.
- Experience with manufacturing KPIs and productivity analysis.
Ideal Candidate Profile
The ideal candidate will have:
- Hands-on shop floor manufacturing experience
- Strong Time Study and Line Balancing experience
- Practical experience implementing Lean Manufacturing and Continuous Improvement
- Experience creating and implementing Value Stream Maps
- Experience optimizing assembly lines and manufacturing processes
- Strong Root Cause Analysis and Kaizen experienceProven ability to identify and eliminate bottlenecks, waste, downtime, and inefficiencies
- Background in Automotive, Off-Highway, Heavy Equipment, or similar manufacturing environments
- Manufacturing/shop floor experience is mandatory.
- Experience with Time Study, Line Balancing, and VSM is highly important.
- Candidates should have hands-on experience with manufacturing or assembly processes.
- The position requires working onsite.
Eligible employees may have access to benefits offered by Intellectt Inc. in accordance with the applicable benefit plans and eligibility requirements.
Intellectt Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law.