Die Interaktion von Technologien der Industrie 4.0 in der Intralogistik und Lean Manufacturing

Abstract

Industry 4.0 (I4.0) technologies represent a significant change in the everyday production processes of companies. Associated technologies such as cyber-physical systems (CPS) and assistance systems with human-machine interaction (HMI), artificial intelligence (AI), Internet of Things (IoT) and automated guided vehicles (AGVs) optimise and network the entire intralogistics and production process. Their application can not only combine traditional manufacturing processes, such as workshop production, but also with forms of production organisation such as lean manufacturing (LM). The aim of this "lean" production is to eliminate waste while maximising customer satisfaction. This project has overlaps with the technologies of Industry 4.0, which intend to optimise production. This paper analyses the cooperation between Industry 4.0 technologies and lean manufacturing. In addition, examples of the application of I4.0 technologies in workshop production are shown. At first, the three subject areas are individually discussed before their combination is further described. The components, systems and terms involved are explained and defined. It has been shown that the workshop production process is compatible with some of the technologies. Not only are HMIs and AGVs used to improve cooperation, also a digital twin can be created based on CPS and IoT. This virtual testing of processes and layouts helps with both optimisation and cost reduction. Lean manufacturing has also identified several possible combinations. For example, smart manufacturing, the direct connection of technologies and lean manufacturing, can be introduced or a "Lean 4.0" can be created. There is also a combined use for learning and evaluation purposes. These collaborations enable companies to improve their performance and create a network of the entire environment, including employees. This can only be realised optimally through effective collaboration.

Date of Award	2024
Original language	German (Austria)
Supervisor	Klaus Altendorfer (Supervisor)