Richard F. Deckro
Linear programming was used to optimize scheduling for a 9 week tooling forecast at a plastic molding company. Model constraints included work content, schedule requirements, labor availability, equipment availability, and tool build processing . The objective function was minimization of tooling cost. Two versions of the model were run to optimize scheduling with different overtime rates, yielding optimal minimum costs of $61,640 and $64,690. The optimal solutions are sensitive to changes in the estimated work content, labor availability, and labor rates, due in part to the model complexity and the demanding project schedules. Since schedules change frequently the use of an LP scheduling package is reconmmended for ongoing evaluation of projects and resources.
Huebschman, Paul and Kangas, Eric, "Tooling Project Schedule Optimization Using Linear
Programming" (1994). Engineering and Technology Management Student Projects. 1245.