A pseudo-convex MINLP approach for industrial problems

In the present paper an optimization approach using a pseudo-convex objective function is presented. Two different industrial applications are considered. The main issue in both problems are: which decisions should be made in order to both maximize the profits of the production and to minimize the production cycle time. The problems can be modeled and solved using Mixed Integer Nonlinear Programming (MINLP) techniques. A set of test problems are solved using the Extended Cutting Plane (ECP) method that has been proven very efficient on many complex engineering problems. The presented techniques can be applied in the design of new industrial systems and to improve the performance of already existing ones.