Combining ANFIS and Digital Coaching for Good Decisions in Industrial Processes

Abstract

The context we address is the digitalization of industry and industrial processes. Digitalization brings enhanced logistics network and value chain integration, which are effective instruments to meet increasing competition and slimmer margins for productivity and profitability. Digitalization also brings pronounced requirements for effective planning, problem solving and decision-making. Decision analytics, including soft computing, will meet the challenges from growing global competition that major industrial corporations face and will help solve the problems of big data/fast data that digitalization is generating as a by-product. A new mantra is gaining support - powerful, intelligent systems will be effective for the digitalization of industrial processes. The discussion has paid less attention to the fact that users need advanced knowledge and skills to benefit from the intelligent systems. We need both an effective transfer of knowledge from developers, experts and researchers to users and support for daily use and operations as automated, intelligent industrial systems are complex to operate. We call this knowledge mobilization, and work out how ANFIS models and digital coaching contribute to good decisions in large, complex industrial processes.