Purpose: This research aims to develop a dynamic and self-regulated application that considers demand forecasts, based on linear regression as a basic algorithm for machine learning. Methodology: This research uses aggregate planning and machine learning along with inventory policies through the...

Informationen gewinnen als betriebliche Ressource eine immer größer werdende Bedeutung. Daraus ergibt sich für das Management einer Organisation die Herausforderung, organisationale Strukturen zu gestalten, die dieser zunehmenden Bedeutung Rechnung tragen, um somit diese Ressource erfolgreich...

We develop a simple model of managing a system subject to pollution damage under risk of an abrupt and random jump in the damage coefficient. The model allows the full dynamic characterization of the optimal emission policies under uncertainty. The results, that imply prudent behavior due to...