Industrial Engineer

AAYUSH NALWAYA

313-***-**** **** Nottingham Ct#**2, Dearborn (MI)-48126

******.**.*@*****.*** www.linkedin.com/in/analwaya

PROFESSIONAL SUMMARY

Industrial Engineer with over 2 years of experience and strong background in Automotive Lean Manufacturing, Procurement, Packaging, Purchasing, Labor Management, Logistics, Distribution, Quality, Operations, Product development, Material Handling and Ergonomics.

SKILLS

Engineering : MTM, Continuous Improvement process, Lean Manufacturing, MODAPTS, MOST, Value Stream Mapping(VSM), Waste elimination, Risk and APT Assessment, Labor Glidepath, MSA, Audits, Labor Optimization, Cycle line Layouts, Plant Layout, Kitting, Material Handling, Workflows.

Computer: MS Office Suite, MS Access, MS Excel, MS Word, MS PowerPoint, Pro-E, SAP, Minitab, MATLAB, Visio, Tableau, AutoCAD, C++, CATIA, Ansys.

WORK EXPERIENCE

Instructor( Teaching Assistant), University of Michigan-Dearborn Sept 2018 - April 2019

Assisted Professor with Research and Teaching on Graduate Courses: Design and Analysis of Experiments (DOE), and Quantitative methods in Quality Engineering (QMQE). [ASQ Lean Six Sigma Green Belt Certification Equivalent Course].

Industrial Engineer, Tata AutoComp Hendrickson Suspensions Pvt. Ltd., India May 2018 - August 2018

Conducted Forward model capacity and time studies for all production units for direct and indirect labors to optimize labors management system, achieving and exceeding expectations in production target with maximum efficiency, reducing production costs.

Supported the cycle line layout planning process and time studies using MODAPTS to minimize labor impacts through labor blitzes, tracing root causes in the plant tasks, and identified improved process opportunities through deployment of global IE standards and tracking process changes.

Assisted with operator allocations, cycle line layouts, plant rebalances, line speed changes, time studies, throughput issues, and launch support.

Operations Coordinator, Nalwaya Trading Company, India July 2016 - June 2017

Outperformed last quarter profits 4-5% by recommending and implementing cost-effective permanent corrective action as JIT(Just-in-Time) strategy when closely monitored timely procurement and packaging processes.

Implemented KAIZEN principle, reducing the bottleneck for lead time to eliminate excess stocks at dealers and retailers store thus saving labor and transportation cost by 6% creating an improved and ergonomically safe environment for labourers.

Engineering Intern, Wonder Cement Ltd., India May 2015 - July 2015

Improvised flow rate of the raw material for better slice lining and increased amount using spectral graphs to maintain manufacturing ISO standards.

Implemented KPI reviews, control charts, TPM and time studies resulting in better estimation of cycle time and quality material handling.

Product Development Engineer, Formula SAE, RTU, India May 2014 - April 2015

Researched and brainstormed to identify the needs and goals to produce a Go-Kart and ATV for SAE BAJA 2016 and State level Go-Karting competition 2015, for materials, new technologies, existing competition, and potential costs.

Worked with a cross-functional design team, using computer-aided design software to fabricate models for benchmarking, coming up with Steer-by-wire system to be implemented using continuous improvement techniques.

EDUCATION

University of Michigan-Dearborn [M.S., Industrial and Manufacturing Systems Engineering.] (GPA:3.6/4) April 2019

Rajasthan Technical University, India [B.Tech, Mechanical Engineering.] (CGPA: 7.2/10) May 2016

ACADEMIC PROJECTS

Product Development for Vehicle - Controlled Dooring Solution. (Concept)

Redesigned a controlled door position concept using rotary actuators to avoid car door accidents through the NPD process creating a reliable and robust product design. From the analysis of statistics and project architecture, we expect a 15-16% reduction of car door accidents.

Spearheaded surveys, Kano Model, fast diagrams, CR-FR matrices, DFA, DFMEA, Functional Benchmarking to finalize the concept by identifying shortcomings of the conventional doors using DFA and competitive analysis resulting in saving assembly time by 7%.

Redesigned Level 2 Autonomous Driving System.

Conducted Hierarchical task analysis of LKAS(Lane Keep Assist System) and ADAS(Adaptive Driver Assistance System) to create a medium-fidelity prototype after uncovering the shortcomings from comparing with the user interface of Tesla’s Autopilot.

User surveys and data analysis after implementing Poka-Yoke resulted the user experience to increase by 27% agreement in usability heuristics.

Demand Forecasting of an Oil Pan of a Ford’s 6.7L Power Stroke V8 engine.

Utilized 2.5 years of sales data of raw material to forecast demand, yielding best results with Winter’s seasonality method.

Optimized ordering policy for 1 year with 1 month of lead time to match with suppliers by efficient Process Management. (Material Resource Planning).

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