An evolutionary data model for the implementation of collective cloud manufacturing to maintain individual value-added networks

Strljic, Matthias Milan; Riedel, Oliver

doi:10.1109/concapanxxxix47272.2019.8976942

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…A well-defined CM model is represented here, for example, by the ManuService ontology of Lu et al [4], which realizes a central platform in which nested production processes can be centrally planned via multiple service providers. For this, various variations with individual focuses exist, such as the approaches of the authors regarding a more symbiotic collective formation in the area of collective cloud manufacturing by Strljic et al [5,6] or the distributed production planning with a decentralized model as well as interface definition by Ellwein et al [7,8]. However, due to the complexity of the production processes to be planned and the orchestration of multi-stage value chains, only industrial CM platforms for commissioning manufacturing service providers from the fields of 3D printing, Computerized Numerical Control (CNC) milling technology, or water-steel/laser cutting are offered at the present time.…”

Section: Introductionmentioning

confidence: 99%

Empirical Study on General Purpose Cloud Manufacturing Platforms

2022

Proceedings of WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications

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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.

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