Design Engineer

3 weeks ago


Pune, Maharashtra, India Tata Technologies Full time

Experience (in years): 2 to 10 Years

Domain of experience: Industrial Engineering & Discrete Event Simulation

Tools skillset- Siemens Plant Sim (Primary), Flex SIM

Education: BE/BTech in Industrial / Mechanical Engineering

Major Deliverables / Job Profile:


• Designs, improves, and integrated manufacturing systems which use people, materials, information, equipment, and energy.


• Research and test design ideas to determine feasibility, utilizing lean manufacturing, kaizen, Six Sigma, and root-cause analysis to formulate and support innovation, corrective actions, and improvements.


• Discrete Event and In-Plant Logistics Simulation


• Process Flow, Material Flow and Throughput Simulations: Simulate various material flow scenarios to identify potential bottlenecks, minimized buffer size and optimize throughput.


• AGV Routes optimization: Simulate AGV operations to identify and mitigate traffic concerns, including static clash detection and gridlock identification.


• Conduct specific experiments on facility process efficiency, operator travel time,


• Able to work in both 2D and 3D Simulation.


• Operator Efficiency: Assess operator travel time.


• Generating different What-If Scenarios as per requirements from customer


• Layout & Process validation (Plant and Shop)


• Cycle time analysis, creation, validation & optimization.


• Analysis and Optimization of Plant and Facility Logistics


• Experience in Writing operation codes using inputs such as Cycle time, Layout & Process etc.


• Experience in Siemens - Plant Simulation software for writing operation & codes.


• MOST analysis to perform Manpower calculation.


• Line balancing with MTM analysis.


• Facility layout study and Bottleneck Analysis for the system capacity


• Design DOE and facilitate alternative generation for the gaps observed in the System Capacity from the target.


• Experience of European OEMs / USA OEMs is an advantage.


• Worked in Plant environment for validation & optimization.



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