User Centric Scenario-Based Demand Forecasting in Automotive Industry

Abstract

The fast introduction of industry 4.0 has dramatically changed the manufacturing systems and allowed them to become digitally connected, real-time data acquiring, and smart in their decision-making. Digitalization is an important element in enhancing the efficiency of operations, performance in terms of innovation, and competitiveness of an organization by incorporating automation, big data analytics, and sophisticated information systems. Nevertheless, the current digital manufacturing systems are mainly monitoring and control-oriented and do not provide much user-centric interaction and scenario-driven decision analysis. The given paper explores the digitalization role in the Industry 4.0 paradigm and advocates the necessity to adopt user-centered, scenario-based production monitoring models. The synthesis of the recent literature unveils the main challenges associated with the integration of data and analytics along with the interaction between humans and systems. The results highlight the significance of interactive digital systems that allow flexible evaluation of the scenarios, improve the quality of the decision, and overall manufacturing performance in the dynamic industrial settings.