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Job Mission
Represent manufacturing and act as gatekeeper from manufacturing to D&E function
Add value in overall manufacturing processes such as forming, machining, joining, and assembling
Job Description
Contribute to the solution of faults and takes the necessary initiatives and practical decisions to ensure zero repeat
Identify gaps and drive assigned process improvement projects and successful delivery
Initiate and drive new procedure changes and projects
Develop and maintain networks across several functional stakeholders
Prioritize works and projects based on business situation
Transfer knowledge and train colleagues on existing and newly introduced products
Education
Master degree in technical domain (e.g. electrical engineering, mechanical engineering, mechatronics)
Experience
3-5 years working experience in design engineering
Personal skills
Show responsibility for the result of work
Show proactive attitude and willing to take initiative
Drive for continuous improvement
Able to think outside of standard processes
Able to work independently
Able to co-work with different functional stakeholders
Able to demonstrate leadership skills
Able to work in a multi-disciplinary team within a high tech(proto) environment
Able to think and act within general policies across department levels
Diversity and inclusion
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.
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Day to Day Responsibilities:
• Time and motion study.
• Discrete event simulation and modeling with statistics knowledge base.
• Conduct time and motion observation study on the production lines for various line performance related study.
• Process mapping and understanding for discrete event simulation modeling. Identify data source, and define data requirements to be ready for modeling. Develop simulation model through configurations or coding as required. Interpret model output to address to the questions to be answered and provide recommendations.
• Identify right approach in optimization methodology to solve complex network logistics and manufacturing problems, including data collection, model building, solving and reporting out. Interpret output to provide recommendations to meet objective.
• Build data flow and analysis data using ML algorithms
• Communicate and participate in technical information sharing and foster discussion on new methodologies in solving operational problems.