Programming (Mathematics), Industrial management, Operations research, Six sigma (Quality control standard), Kraft inc. -- Management
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.
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.