WCSE 2022 Spring
ISBN: 978-981-18-5852-9 DOI: 10.18178/wcse.2022.04.103

Empirical Study on General Purpose Cloud Manufacturing Platforms

Matthias Milan Strljic, Islam Younes, Carsten Ellwein, Oliver Riedel

Abstract— Cloud manufacturing is a term that has been used in research since around 2011. In preparing this paper, the focus has shifted to approaches to link complex value-creating networks and a more efficient production utilization of service providers. The interim results of a study presented in this report highlight a section of publicly available industrial cloud manufacturing solutions within the production area of Germany in the fields of 3D printing, Computerized Numerical Control milling technology, and laser cutting in order to observe the industrial use of cloud manufacturing. For the presentation of the interim results, only platforms that offer the addressed manufacturing technologies as an all-in-one solution were considered to start at the highest abstraction of technical depth. For this purpose, reference components within the technology disciplines are defined based on the process characteristics which were evaluated on five cloud manufacturing platforms based on their performance. These platforms were selected through a broad keyword search of publicly available search engines and representative keywords, followed by filtering for a definition of cloud manufacturing and the manufacturing technologies supported. Finally, the results of the evaluation are discussed and the significant observations are highlighted.

Index Terms— cloud manufacturing, manufacturing on-demand.

Matthias Milan Strljic
Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart, Germany
Islam Younes
Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart, Germany
Carsten Ellwein
Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart, Germany
Oliver Riedel
Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart, Germany

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Cite: Matthias Milan Strljic, Islam Younes, Carsten Ellwein, Oliver Riedel, " Production Model to Increase the Rate of Order Fulfillment through the Implementation of Lean and MRP Tools in Dyeing in the Textile SectoEmpirical Study on General Purpose Cloud Manufacturing Platformsr, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 874-889, Sanya, China, April 15-18, 2022.