Document Type
Closed Project
Publication Date
Winter 2020
Instructor
Tim Anderson
Course Title
Operations Research
Course Number
ETM 540
Subjects
Linear programming, Semiconductor industry -- Management, Semiconductor production equipment industry, Operations research
Abstract
This project is a Linear Programming model for workforce optimization of a team that conducts installations of chip making equipment in the semiconductor industry using linear programming. This model looks at the required number of equipment installs in four regions. However, it is scalable to any number of regions. The model was built with an objective function that maximized profit for equipment installed in the regions subject to constraints for costs of travel, meals and lodging and visa/work permits. In addition to the maximum profit possible, the model also determines the optimal number of tool installs available per region.
A scalable generic model was created to replicate the results of the initial model. Additional variables and constraints were added to the problem set in order to demonstrate scalability. The results indicate that the profit for installs can be maximized given the constraints of the problem. In addition, the model can be scaled to add more detail and constraints. More work can be done to add variables and constraints for different products (types of equipment), different customers, engineer qualifications and timing of the activity.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
https://archives.pdx.edu/ds/psu/33508
Citation Details
Matthews, Tina; Nalven, Alison; Rosenthal, Janet; Rosenthal, Dean; and Sridhar, Arjun, "Optimization of Semiconductor Equipment Installations" (2020). Engineering and Technology Management Student Projects. 2293.
https://archives.pdx.edu/ds/psu/33508
Comments
Note: This project is only available to students, staff, and faculty of Portland State University.