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Industrial Engineer (RDSS)

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Date: May 3, 2021

Location: Taichung, TW, 407

Company: Corning

Requisition Number: 45383 



Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in speciality glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.


Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.


Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses.


We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise.  We partner with Corning’s businesses and the Science & Technology division. Together we create and sustain Corning’s manufacturing as a differential advantage.



Purpose of the Position:

  • Adding one headcount of industrial engineering function in Taiwan to fill in operation research competency


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.


Project involved with:

  • Communication with multiple stake holders such as manufacturing and engineering teams.


Education and Experience:

  • Bachelor’s degree and above in Industrial & Operations Research or Manufacturing engineering or related field of study


Required Skills:

  • Previous IE internship or industry project experience. 
  • Hands-on experience on discrete event simulation modeling and analysis (Simul8, ARENA, or other simulation commercial software) 
  • Fundamental industrial engineering understanding and knowledge (ie. Time and motion study, factory physics, production performance metrics definition and calculation …etc). 
  • Knowledge or experience in capacity planning & analysis in manufacturing environment.
  • Knowledge in statistics and use of data analysis tool such as R, SAS, SPSS or Minitab.
  • Hands-on experience on linear programming, integer programming and network optimization. Capability in developing AIMMS, CPLEX or related optimization models.
  • Experience in data analysis using Python and other ML packages
  • Able to read CAD drawings.