Development and case study of an Industry 5.0 ready human-centric related brewing plant

T. Schlechter¹*, P. Kopylov², J. Wegen², K. Manfredi³, L. Nicoletti³, A. Padovano⁴, M. Cardamone⁴, E. Francalanza⁵ and M. Seidl⁶⁷

¹University of Applied Sciences Upper Austria, Stelzhamerstr. 23, AT4600 Wels, Austria
²EIT Manufacturing CLC North AB, Forskningsgången 6, SE41756 Gothenburg, Sweden
³CAL-TEK S.r.l., Contrada Cutura, 240, IT87036 Rende (CS), Italy
⁴University of Calabria, Energy and Mechanical Engineering (DIMEG), Department of Mechanical, Via P. Bucci - Edificio Cubo 46/C, IT87036 Arcavacata di Rende (CS), Italy
⁵University of Malta, Department of Industrial and Manufacturing Engineering,
Msida MSD, MT2080, Malta
⁶Dietrachinger Privatbrauerei, Dietraching 24, AT5271 Moosbach, Austria
⁷Gerstl Bräu, Freiung 9/11, AT4600 Wels, Austria
*Correspondence: thomas.schlechter@ieee.org

Abstract:

This article explores the transformative potential of learning factories in mecha- tronic systems development. Learning factories offer a dynamic, collaborative environment that bridges the gap between academia and industry, creating a mutu- ally beneficial ecosystem. The LEONARDO project aims to develop innovative teaching methods, materials and tools for human-centric industrial engineering and management education leveraging on an industry 5.0 replica of a brewing system. Brewing as a process can be considered as highly complex, while brewing as a procedure serves as a ‘sexy vehicle’ for appealing student’s interest in industry5.0 applications and human-centric production. The brewing process is and will increasingly be more automated and highly supervised. For the latter, modern implementations of sensors such as electronic nose, electronic tongue, and infrared spectroscopy are required to be installed on the brewing equipment. To efficiently use the sensor outputs, the produced signals need to be merged locally and pro- cessed adequately, researched and investigated deeply by the authors up-front with the results to be summarized. Furthermore, to enable the physical bridging of various involved institutions across Europe, connecting the relevant sites virtually presents another technological challenge. Adequate IoT equipment needs to be selected and included in the whole setup as well. Furthermore, an emphasis needs to be made on the human-centric approach, as well as data visualization. Each of the aforementioned pieces of technology need a thorough investigation along with a decent focus in integrating the puzzle pieces into the big picture which is the brewing plant. In this paper we describe the interaction along with the system integration strategies of the listed fields to enable a future proof industry 5.0 ready brewing plant, focusing on the human-centric approach demanded in the industry5.0 feature description.

Key words:

digital factory, gamification, human centricity, industry 5.0, smart manufacturing

Towards a business and production engineering concept for individual beer brewing applying digitalization methodologies

T. Schlechter¹*, R. Froschauer¹ and A. Bronowicka-Schlechter²

¹University of Applied Sciences Upper Austria, Automotive Mechatronics and Management, Stelzhamer str. 23, AT4600 Wels, Austria
²Salzburg Schokolade GmbH, Hauptstraße 14, AT5082 Grödig, Austria
*Correspondence: thomas.schlechter@ieee.org

Abstract:

Individualization is a common trend in many fields of production across the industries. Also in the food sector, significant changes can be observed. For many products, individual offerings towards the customer are meanwhile either mandatory or at least help to increase the sales and revenue. Somehow, individual product design and production contradicts scaling effects, which are especially important for food production. On the other hand, as digitalization is implemented in a fairly limited way in the food sector, currently great chances can be observed to build a unique selling proposition and consequently gain market share by implementing appropriate measures to enable a digital food factory. This is where the proposed idea comes into the game. The starting point is the idea to produce individually developed beer and ship it to the individual customer. The beer can be designed on a web page based on typical parameters, like beer type, bitterness, colour, or alcohol concentration. In an expert mode, individual beer creations may be thoughtful, allowing the creation of completely individual recipes (for sure, not guaranteeing the customer a perfect drinking experience). In any way, the data from the web page is directly fed to the brewing equipment in the brewing facility. There, using newly to be developed specialized machines, the individually ordered beer will be produced automatically. In this paper we discuss the individual challenges at each point in the production cycles and propose solutions to those.

Key words: