AI-based Improvement of Decision-makers’ Knowledge in Production Planning and Control
Felix Franke, Susanne Franke, Ralph Riedel
Abstract
Production companies are required to implement efficient, flexible manufacturing processes to face the competitive global market. The ongoing digital transformation leads many companies to store production process data, which offers optimization potential using Artificial Intelligence (AI). However, production planning and control is often still performed manually with a significant amount of human expert knowledge. To enhance the decision-makers’ knowledge and hereby the decisions’ quality, the available database can be analyzed with AI methods. This paper aims at improving the human decision-making process by providing a methodology to evaluate and apply AI-generated knowledge w.r.t. its quality and long-term usefulness for decision-makers.