Integrating Smart Objects as Data Basis in Virtual Enterprise Collaborations
Small and Medium Enterprises of the manufacturing domain have to cope with a highly competitive market today. To establish flexible and efficient collaborations with partners in such an environment, new collaboration concepts and corresponding IT architectures are required, such as Virtual Manufacturing Enterprises. Therefore, we provide in this paper an overview of a generic IT architecture for realizing collaborations within Virtual Manufacturing Enterprises. However, besides an adequate IT architecture, a sound and up-to-date data basis is an essential necessity for inter-company collaborations to be successful. Smart Objects constitute a promising technology to gather and transmit a huge diversity of different process-relevant data in real time and can thus act as valuable data source in order to achieve such a comprehensive and up-to-date data basis. In consequence, we describe in this paper how Smart Object technology can be employed and integrated in our architecture for Virtual Manufacturing Enterprises in order to enable efficient data provisioning in such collaboration scenarios.
KeywordsVirtual manufacturing enterprises IT architecture Data provisioning Smart objects
This work was partially supported by the Commission of the European Union within the ADVENTURE FP7-ICT project (Grant agreement no. 285220).
- 3.Jain, S. (1995). Virtual factory framework: A key enabler for agile manufacturing. In: Proceedings of Symposium on Emerging Technologies and Factory Automation (pp. 247–258).Google Scholar
- 7.Faisst, W. (1997). Information technology as an enabler of virtual enterprises. In Proceedings of the European Conference on Virtual Enterprises and Networked Solutions. Google Scholar
- 8.Vasseur, J.-P., & Dunkels, A. (2010). Interconnecting smart objects with IP: The next internet. Burlington USA: Morgan Kaufmann.Google Scholar
- 10.Hans, R., Zöller, S., Abels, S., Miede, A., & Steinmetz, R. (2013). Enabling collaboration in virtual manufacturing enterprises with cloud computing. In Proceedings of the 19th Americas Conference on Information Systems.Google Scholar
- 11.ADVENTURE Project Team. D3.1 Global architecture definition document. Retrieved October 04, 2013, from http://www.fp7-adventure.eu/resources/
- 12.Jedermann, R., Behrens, C., Laur, R., & Lang, W. (2007). Intelligent containers and sensor networks. In M. Hülsmann & K. Windt (Eds.), Understanding autonomous cooperation and control in logistics (pp. 365–392). Berlin: Springer.Google Scholar
- 14.Zöller, S., Reinhardt, A., Meyer, M., & Steinmetz, R. (2010). Deployment of wireless sensor networks in logistics. In Proceedings of the 9th GI/ITG KuVS Fachgespräch Drahtlose Sensornetze (pp. 67–70).Google Scholar
- 15.Bartel, J. I-Jetty: Webserver for the android mobile platform. Retrieved October 04, 2013, from https://code.google.com/p/i-jetty/
- 16.Sphinx Software. Sphinx mobile web server. Retrieved October 04, 2013, from http://sphinx-soft.com/MWS/
- 17.Bretzke, W.-R., & Klett, M. (2004). Supply Chain Event Management als Entwicklungspotenzial für Logistikdienstleister. In Beckmann, H., (Ed.), Supply chain management. Berlin: Springer.Google Scholar