A two-phase decision support system for optimizing the steel roll cutting problem

Cutting a large steel roll material into a small piece of sheet is an optimization problem for a steel sheet supply industry because of minimization of surplus materials. Due to having too much stock of leftover bits and pieces steel which come from the orders decreased, therefore the production schedule becomes very important for the industry. This study aims at how to optimize steel roll cutting problem by using the database decision support system to track the steel oxidized condition and find a flexible cutting schedule for production of steel sheet. The goals of this study are (1) optimizing cutting plane of steel sheet materials, (2) tracking and check the steel oxidized problem using database technology, and (3) establishing a decision support system (DSS). In addition, a heuristic method in the DSS helps in minimizing the waste of the cutting a steel roll into piece of steel sheet. At the same time, DSS helps in tracking the roll condition and optimizing the production schedule of the steel sheet cutting problem in the case study.