Application

ANKIT GOUD from United States applies for Blue Card Germany

Industrial and production engineers

Personal data:

For personal data please contact us
with the following Applicants-ID: 16834

Profession:

Name of profession: Industrial and production engineers Name of latest business sector: Manufacturing Latest occupation/title: Quality Engineer Latest main activities: Develop and standardize new processes, work instructions and procedures, Oversee all quality related issues, Statistically analyze all data related to both product and process, Interact with both suppliers and customers.

Education:

Completed education: master Title or Qualification: Industrial Engineering Specialisation: Quality Engineering Additional trainings: AIAG Core Tools - APQP, PPAP, FMEA & Control Plan; Problem Solving - Root Cause Analysis & Corrective Actions; Six Sigma Green Belt

Preferred countries:

1. Preferred country | region / city: Germany | 2. Preferred country | region / city: France | 3. Preferred country | region / city: Spain |

Language skills:

1. Language skills: english => excellent 2. Language skills: spanish => reasonable 3. Language skills: German => reasonable

Personal note /detailed application:

SUMMARY
• Approximately 3 years of work experience as a Quality Engineer with abundance of knowledge in Quality Control, Quality Assurance, Prototype and Production Launches, Commercial Benchmarking and Customer Portals.
• Extensive knowledge on AIAG core tools such as APQP, PPAP, FMEA & Control Plan.
• Proficient in Problem Solving skills such as Root Cause Analysis, Corrective Actions, Design of Experiments (DOE), 8D, 5 Why, Cause and Effect Diagram & Fault Tree Analysis (FTA).
• Expertise in Quality Management Systems & Six Sigma methodologies like DMAIC (Design, Measure, Analyze, Improve & Control) and DFSS (Design for Six Sigma).
• Experience with ISO 9001:2015, ISO 17025, IATF 16949, & CQI (Continuous Quality Improvement) standards.
• Experience as a lead in External & Internal Audits, Customer & Supplier Audits.
• Profound understanding of Lean Manufacturing, Process Control & Continuous Improvement activities such as 5S, Value Stream Mapping, Poka-yoke methodology, etc.
• Well versed with design features like Blueprint Reading, Geometric Dimensioning and Tolerancing (GD&T), Design for Manufacturability/Assembly, Bill of Materials (BOM), etc.
• Good Exposure to MRP/ERP systems with Production Planning, Material Planning, Inventory Control, Sales and Quality sectors.
• Adept in identifying quality related manufacturing issues & implementing & validating corrective/preventive actions (CAPA) using statistical tools such as Pareto Analysis, Control Charts, etc
• Possess strong knowledge in designing and developing new Tooling/Products by analyzing reliability and maintainability data.
• Profound understanding of engineering design activities such as Quality Function Deployment (QFD), Axiomatic Design, Theory of Inventive Problem Solving (TRIZ), Robust Design and Tolerance Design.
• A self-starter with a positive attitude, willingness to learn new concepts and accept challenges. Strong interpersonal skills, analytical and problem-solving skills.

EDUCATION
• Master of Science in Industrial Engineering Wayne State University, Detroit, MI, USA
• Bachelor of Engineering in Mechanical Engineering RTM Nagpur University, India

WORK EXPERIENCE
Beacon Industries, USA Quality Engineer Sep 2017 – April 2020
• Participated in product launch activities by working with Customer representatives to determine and define customer requirements and internal departments to ensure internal compliance requirements.
• Led teams in 8D Internal problem solving and root cause analysis to ensure timely corrective action response and resolution to both internal and external customer issues.
• Analyzed the entire manufacturing process statistically & submitted PPAP documentation for different customers whenever a new part is being processed.
• Created and updated the Process Flow, Control Plan & PFMEA according to the customer requirements while launching new products.
• Led cross functional teams in Supplier Corrective Action requests (SCARs) - Identifying the Root causes & how best can they be eliminated with a preventive corrective action in place.
• Investigated product & process quality related issues & updated the Control Plans & PFMEA’s accordingly.
• Issued quality alerts for any defects found & troubleshoot defective parts to find root cause & a resolution to it.
• Developed Layered Process Audits (LPA) to control the processes and maintain the Quality systems.
• Participated in Supplier Capability Assessments, Surveys & Supplier Development Audits.
• Performed Capacity Studies, time studies to determine the process capabilities.
• Reduced the Cycle time by 50% by eliminating muda & thereby doubling the productivity of the most Critical process for one of the major customers.
• Developed the most efficient way of operating a machine, thereby reducing the Downtime by almost 30%.
• Statistically analyzed all the pertinent data collected both for the Process & Quality Related issues.
• Made Design changes on the tooling to produce a part that is defect free & also which is very easy for the operators.
• Successfully troubleshooted machine breakdowns by contacting our supplier’s technical representatives.
• Worked closely with the suppliers to design & develop the most efficient tooling.
• Developed metrics for rating Suppliers
• Created Standardized work instructions keeping the process & quality of the product being processed.
• Performed Process Capability Studies & Gage R&R as and when necessary.
• Created & Submitted IMDS for all the new parts being processed.
• Supervised & trained Quality Technicians and Quality Inspectors on how to operate the inspection gauges & also how to identify the defects.
• Worked closely with Customer Service, Production, Scheduling, Shipping/Receiving and Maintenance departments making sure that the customer is getting quality products in a timely manner.

CERTIFICATION
• AIAG Core Tools (APQP, PPAP, FMEA & Control Plan)
• Problem Solving – Root Cause Analysis & Corrective Actions
• Six Sigma Green Belt

TECHNICAL EXPERTISE
Lean, Six Sigma (DMAIC, DFSS), SPC, FMEA, DFM/DFA, DOE, ANOVA, GD&T, JIT, TQM, QFD, APQP, PPAP, 5S, 5-Why’s, 8D, MRP/ERP Systems, Continuous Improvement, Root Cause Analysis, Process Capability, Inventory Management.

ENGINEERING PROJECTS
Time Reduction of Updating the Weekly Safety Observation Report Summer 2016
• KPI’s defined. Performed 5 Why analysis. Identified bottlenecks in terms of the complexities in writing the report due to miscommunication
• Used Value Stream Mapping and 5S analysis to reduce the complexity of reports from three sheets to one which lead to better decisions in the company
• Reduced the lead time from 1320 min to 120 minutes

Reliability of Life Saver Mints Fall 2016
Wayne State University
• Performed reliability analysis on the mint dissolves times using Minitab, Excel and Reliability Estimation software and compared all three results.
• Deduced that it follows a Weibull Distribution and concluded that just by increasing the mint lifespan would not necessarily increase the profits.

Improving the Accuracy of Object Landing Distance from Catapult Winter 2016
Wayne State University
• Six Sigma tools such as Process flow diagrams, Cause & Effect diagrams, Gage R&R are used to identify the controllable root causes as Launching angle, Launching Arm Pin location and Brace Pins.
• Improved the object landing distance from 27 inches to 21 inches by allocating specific values to all the three root causes
• Although we could decrease the variation, this doesn’t fall under the customer specification limits. Hence, came up with continuous improvement as a suggestion.

MRP Decision Support System – Production Planning Winter 2016
Wayne State University
• Made use of MS EXCEL functions such as Regression Analysis and VLOOKUP to maximize the profit by minimizing the inventory.
• Reduced the overall operational cost by maintaining low inventory levels & developed model for the effective forecasting of demand with the minimum possible variation.

Delivery Route Optimization of a Water Hauling Process Fall 2015 Wayne State University
• Formulated the objective function and constraints based on the restrictions using Excel.
• Generated a solution using Excel Solver which indicates the optimal path to be taken.

SOFTWARE SKILLS
• Microsoft Office - Advanced Excel
• Microsoft Office - Word, Visio, Project, Access & PowerPoint
• Minitab, Reliability Estimation Software
• AutoCAD, SolidWorks & CATIA.


Note: References upon request
 

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