Sunday, July 26, 2020

University of Washington-Seattle Campus - Industrial Engineering Programs



16) University of Washington - Seattle Campus Seattle, Washington

BS Curriculum: - https://ise.washington.edu/students/BSIE/tech-electives

MS Curriculum:- https://ise.washington.edu/students/MSIE/tech_electives


Linda Ng (Chair & Professor) linda  @uw.edu


https://ise.washington.edu/about/about-ise

About Industrial Engineering


Faster, easier, more efficient; that’s what being an IE is all about.

They improve processes by making them more efficient, better, and safer. IEs are the only engineering professionals trained specifically to be productivity and quality improvement specialists


Productivity Management: - Not in Curriculum

Linda Ng Boyle, Chair & Professor   linda  @uw.edu

Archis Ghate,  Associate Chair & Professor
archis  @uw.edu

https://ise.washington.edu/facultyfinder


Engineering and Manufacturing Research Area
https://www.engr.washington.edu/faculty-research/strategic-research-areas#manufacturing

Banerjee, Ashis
ISE profile
ME profile

(206) 543-5388
ashisb  at uw.edu
https://ise.washington.edu/facultyfinder/ashis-banerjee

Buchanan, Patty
(206) 221-1392
buchap@uw.edu
EGA 301
IND E 250: Fundamentals of Engineering Economy
https://ise.washington.edu/facultyfinder/patty-buchanan

Mastrangelo, Christina
(206) 543-5439
mastr@uw.edu
AER 141C

Associate Professor Mastrangelo joined the department in 2002. Prior to joining the UW, she was an Associate Professor of Systems and Information Engineering at the University of Virginia. Dr. Mastrangelo also has several years of industrial manufacturing experience at AlliedSignal Aerospace, Honeywell IACD and Ion Implant Services.

Dr. Mastrangelo’s industrial research, sponsored by NSF and the Navy, seeks to understand the effects of lower-level processes on system-level outputs. This is applied to obsolescence management, additive manufacturing, and food chain production. Understanding these models and the effects of competing process models is important to improve productivity, identify and validate quality control parameters, and, ultimately, increase the desired response.
https://ise.washington.edu/facultyfinder/christina-mastrangelo

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