Manufacturing Engineering Professional

#### **Job Description**

JOB DESCRIPTION – Assistant Manager – Manufacturing Engineering \& MES

Position: Assistant Manager – Manufacturing Engineering \& MES

Experience: 6–10 Years

Industry: Electronics / HVAC/ Electrical / Manufacturing

Function: Manufacturing Engineering / Digital Manufacturing

Key Areas: Process Engineering \| MES \| Automation \| OEE \| Lean Manufacturing \| Process Improvement

1\. ROLE PURPOSE

Lead Manufacturing Engineering and MES activities covering process development, process optimization, automation, OEE improvement, manufacturing system digitalization and continuous improvement.

The role will ensure safe, reliable, efficient and cost\-effective manufacturing processes through robust process engineering, MES utilization, automation and data\-driven improvement. The position will work closely with Production, Quality, R\&D, Maintenance, IT and other cross\-functional teams to achieve manufacturing objectives.

2\. KEY RESPONSIBILITIES

A. PROCESS \& MANUFACTURING ENGINEERING

1\. Develop and continuously improve manufacturing processes for existing products, ensuring quality, safety, reliability and process stability.

2\. Develop and maintain Process Flow Charts, PFC/PFD, SOPs, Work Instructions, Control Plans and other manufacturing documentation.

3\. Define process parameters, standard work and manufacturing controls.

4\. Conduct process validation and establish robust manufacturing processes.

5\. Improve process capability, OEE, yield, cycle time, equipment utilization and manufacturing cost.

6\. Develop and implement tooling, fixtures, gauges, jigs and Poka\-Yoke solutions.

7\. Support Production, Quality and R\&D teams in resolving process, manufacturability and product\-related manufacturing issues.

8\. Conduct root\-cause analysis and implement corrective and preventive actions for recurring manufacturing problems.

B. MES – MANUFACTURING EXECUTION SYSTEM

1\. Lead and support the operation and continuous improvement of the Manufacturing Execution System (MES).

2\. Define and maintain manufacturing processes, routing, operations, workstations and production workflows within MES.

3\. Manage MES master data including product, process, routing, BOM and production\-related information as applicable.

4\. Implement electronic work instructions, digital SOPs and process controls through MES.

5\. Establish real\-time production data collection for output, rejection, downtime, cycle time, process status and operator activity.

6\. Establish product and process traceability from raw material through finished goods.

7\. Support integration of MES with ERP/SAP, machines, PLCs, testers, scanners and other shop\-floor systems.

8\. Monitor MES data accuracy and ensure alignment between actual shop\-floor processes and system transactions.

9\. Develop MES dashboards and reports for OEE, downtime, rejection, FPY and manufacturing performance.

10\. Analyze MES data to identify process losses, equipment issues and opportunities for improvement.

11\. Coordinate with IT, MES developers and external system integrators for troubleshooting, enhancements and system upgrades.

12\. Conduct MES user training, UAT, system validation and implementation support.

13\. Ensure controlled MES changes through ECN/change\-management procedures.

C. AUTOMATION \& PROCESS IMPROVEMENT

1\. Identify and implement automation and semi\-automation opportunities to improve quality, safety and process efficiency.

2\. Lead Low\-Cost Automation (LCA), robotics, sensors, interlocks and automated inspection projects.

3\. Implement Poka\-Yoke and process\-monitoring solutions to prevent manufacturing defects.

4\. Reduce manual dependency, cycle time, scrap, rework and process losses through engineering improvements.

5\. Improve material flow, workstation design, ergonomics and operator movement through process improvements.

6\. Drive Kaizen and Lean Manufacturing projects with measurable quality, cost and process benefits.

7\. Evaluate process simulation opportunities using tools such as FlexSim for process optimization.

8\. Support Industry 4\.0 and smart manufacturing initiatives through digital data collection and real\-time monitoring.

D. OEE \& EQUIPMENT PERFORMANCE

1\. Monitor and improve OEE across manufacturing equipment and production processes.

2\. Analyze Availability, Performance and Quality losses to identify major sources of equipment inefficiency.

3\. Analyze the Six Big Losses and coordinate corrective actions with Production and Maintenance teams.

4\. Identify recurring equipment and process losses and implement permanent corrective actions.

5\. Improve equipment utilization, process stability, cycle time and machine performance.

6\. Develop and monitor equipment and process performance dashboards through MES.

7\. Support Production and Maintenance teams in reducing downtime, minor stoppages and process\-related losses.

E. QUALITY, SAFETY \& PROCESS CONTROL

1\. Develop and maintain PFMEA, Control Plan, SOP and process\-control documentation.

2\. Ensure manufacturing processes are properly controlled and consistently followed on the shop floor.

3\. Conduct HIRA and ergonomic assessments for new and existing workstations.

4\. Apply REBA and other ergonomic assessment methods to reduce operator risk.

5\. Evaluate quality, safety and environmental impacts of manufacturing process changes.

6\. Implement Poka\-Yoke, interlocks and process controls to prevent defects and unsafe conditions.

7\. Support internal, customer and certification audits related to manufacturing processes.

F. CROSS\-FUNCTIONAL COORDINATION

1\. Coordinate with Production, Quality, R\&D, Testing, Maintenance, SMT, Warehouse, Material Control, SQM, IT and other cross\-functional teams.

2\. Lead technical discussions related to process improvement, automation, MES and manufacturing system improvements.

3\. Coordinate with automation, machine, tooling and MES suppliers.

4\. Prepare improvement plans, action plans, technical reviews and progress reports.

5\. Support implementation of manufacturing engineering and digitalization projects within defined scope and timelines.

3\. KEY DELIVERABLES

1\. Manufacturing Process Development \& Optimization

2\. MES Management \& Digital Manufacturing

3\. Automation \& Process Improvement

4\. OEE \& Equipment Performance Improvement

5\. Process Control \& Manufacturing Documentation

6\. Poka\-Yoke \& Low\-Cost Automation

7\. Lean Manufacturing \& Kaizen

8\. Manufacturing Data Analytics \& Performance Monitoring

9\. Industry 4\.0 \& Shop\-Floor Digitalization

10\. Reduction of Process Losses, Scrap and Rework

4\. KEY PERFORMANCE INDICATORS

1\. OEE and equipment performance improvement

2\. Process capability and yield improvement

3\. Reduction in scrap, rejection and rework

4\. Reduction in equipment downtime and process losses

5\. Cycle\-time and process\-efficiency improvement

6\. MES data accuracy, traceability and system utilization

7\. MES system performance and user adoption

8\. Successful implementation of automation and Poka\-Yoke solutions

9\. Manufacturing cost reduction through process improvement

10\. Kaizen and continuous improvement results

11\. Improvement in FPY and process stability

12\. Reduction in Six Big Losses

5\. QUALIFICATION \& EXPERIENCE

1\. Qualification: B.E. / B.Tech in Mechanical / Production / Manufacturing / Electrical Engineering.

2\. Experience: 6–10 years of relevant Manufacturing / Process Engineering experience.

3\. Experience preferably in Electronics, Automotive, Electrical, EMS or high\-volume manufacturing.

4\. Hands\-on experience in Manufacturing Engineering and process optimization.

5\. Experience in MES operation, implementation, improvement or digital manufacturing systems.

6\. Experience in automation, process improvement and continuous improvement projects.

7\. Strong experience in shop\-floor problem solving and manufacturing process control.

6\. REQUIRED TECHNICAL KNOWLEDGE

1\. Manufacturing Engineering: Process development, process validation, SOP, PFC/PFD, PFMEA and Control Plan.

2\. MES: Production tracking, routing, traceability, electronic work instructions, data collection, dashboards and ERP/MES integration.

3\. OEE: Availability, Performance, Quality and Six Big Losses analysis.

4\. Automation: Low\-Cost Automation, robotics, sensors, interlocks, Poka\-Yoke and automated inspection.

5\. Lean Manufacturing: Kaizen, DMAIC, DMADV, VSM, 5S/6S and waste elimination.

6\. Process Improvement: Root Cause Analysis, 5 Why, Fishbone, Pareto and process capability analysis.

7\. Data Analytics: Excel, Minitab, MES data analysis and manufacturing performance dashboards.

8\. Engineering Tools: AutoCAD, SolidWorks/Creo and FlexSim.

9\. ERP/PLM: SAP PP, SAP MM and Windchill.

7\. CORE COMPETENCIES

1\. Strong Manufacturing and Process Engineering knowledge.

2\. Strong hands\-on experience in MES and digital manufacturing systems.

3\. Strong understanding of manufacturing process development and optimization.

4\. Strong problem\-solving and analytical capabilities.

5\. Ability to drive OEE, quality and process improvements.

6\. Strong experience in shop\-floor process optimization.

7\. Ability to lead automation, Poka\-Yoke and continuous improvement projects.

8\. Strong cross\-functional coordination and project\-management skills.

9\. Ability to analyze manufacturing data and convert insights into process improvements.

10\. Ability to manage automation, machine and MES suppliers.

11\. Strong knowledge of Lean Manufacturing and continuous improvement methodologies.

12\. Ability to support manufacturing digitalization and Industry 4\.0 initiatives.

#### **Short Info**

• Posted: 0 day(s) ago
• Location: TADA
• Qualifications: B.E. / B.Tech in Mechanical / Production / Manufacturing / Electrical Engineering
• Experience: 6 Years \- 0 Months To 10 Years \- 0 Months