Document Type
Closed Project
Publication Date
Fall 2010
Instructor
Timothy Anderson
Course Title
Operations Research
Course Number
ETM 540/640
Subjects
Programming (Mathematics), Industrial management, Operations research, Six sigma (Quality control standard), Kraft inc. -- Management
Abstract
Managers are often tasked with assigning a large variety of projects to a large pool of labor. Determining the optimal assignment of labor to a given list of projects in order to maximize profit can be challenging. This work applies a nonlinear optimization formula to this scheduling problem utilizing a Six Sigma initiative at a Kraft Manufacturing Facility as a case study. This work aims to maximize profit for Kraft’s six sigma implementation, suggesting a possible solution to this three dimensional problem. This work builds off of existing research in this area, modifying and applying this algorithm to the Kraft Six Sigma problem.
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
http://archives.pdx.edu/ds/psu/22319
Citation Details
Bobek, Adam; Imondi, Chris; Shott, Tom; and Toobaei, Mehdi, "Utilizing Non-Linear Programming to Optimize the Selection of Six Sigma Projects in a Food Production Environment" (2010). Engineering and Technology Management Student Projects. 712.
http://archives.pdx.edu/ds/psu/22319
Comments
This project is only available to students, staff, and faculty of Portland State University