Abstract Machine learning methods have shown potential for the optimization of production processes. Due to complex relationships often inherent in those processes, success such is uncertain and unreliable. Therefore, understanding (algorithmic) behavior results machine crucial improve prediction Here, mathematical tools may help. This paper shows how efficient algorithms training neural networ...

The article is centred on software system development for manufacturing company that produces polyethylene bags using mostly conventional machines in a competitive world where each business enterprise desires to stand tall. This is meant to assist in gaining market shares, taking maintenance and production decisions by the dynamism and flexibilities embedded in the package as customers’ demand ...