Cooperation platform for distributed manufacturing

Roman Pietroń


The aim of the paper is to analyse contemporary trends in distributed manufacturing (DM) research and to present a concept to develop and test some task allocation, planning and scheduling algorithms for DM network organisations. Some concepts to identify key factor criteria and reasoning policies and rules for production/manufacturing decision support system are also undertaken. And finally, an aim is to draw a proposal for a development of a prototype decision support system with necessary communication and knowledge oriented modules to be implemented in an example of dynamic, DM and logistics network structure, particularly for very popular dynamic cluster forms in Poland. The developed concept of the organization of a multi-entity DM network will enable business-effective use of the system, supporting manufacturing decision making, consulting and offering information services in the control centre (the so-called Competence Centre) by constructing virtual reality and access to services in a distributed network of cloud computing type. Integration of the whole system into one information system will enable analysis and network resource optimization of manufacturing and logistics processes, new analytical functions, reduction of delays in the manufacturing system, management of changes and risks, and visualization of the current state of the DM system.


management, distributed manufacturing, resource allocation


Akkermans, H., 2001. Renga: A systems approach to facilitating inter-organizational network development. System Dynamics Review, 17(3), 179-193.

Akoorie, M. E. M., Ding, Q., 2009. Global competitiveness in the Datang hosiery cluster, Zhejiang. Chinese Management Studies, 3(2), 102-116.

Durão, L.F.C., Christ, A., Anderl, R., Schützer, K., Zancul, E., 2016. Distributed Manufacturing of Spare Parts based on Additive Manufacturing. Use Cases and Technical Aspects. Procedia CIRP, 57, 704-709.

Gąbka, J., Susz, S., Chlebus, E., 2012. A concept of advisory system supporting partner selection in virtual organisations. In Innovations in Management and Production Engineering, Oficyna Wydawnicza PTZP, Opole.

Gąbka, J., Susz, S., 2016. Concept of decision support system assisting dispersed manufacturing networks. In IV International Scientific-Technical Conference MANUFACTURING 2014, Selected Conference Proceedings, Poznań University of Technology, 2016, 114-123.

Jana, T.K., Saha, P., Sarkar, B., Saha, J., 2013. Implementation of agent based holonic control in discrete manufacturing. Advances in Production Engineering & Management, 8(3), 157–168.

Liu, Y., Xu, X., Zhang, L., Wang, L., Zhong, R.Y., 2017. Workload-based multi-task scheduling in cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 45, 3-20.

Matt, D.T., Rauch, E., Dallasega, P., 2015. Trends towards Distributed Manufacturing Systems and modern forms for their design. Procedia CIRP, 33, 185-190.

Moghaddam, M., Shimon, Y., Nof, S.Y., Menipaz, E., 2016. Design and administration of collaborative networked headquarters. International Journal of Production Research, 54(23), 7074–7090.

Rauch, E., Seidenstricker, S., Dallasega, P., Hämmerl, R., 2016. Collaborative Cloud Manufacturing: Design of Business Model Innovations Enabled by Cyberphysical Systems in Distributed Manufacturing Systems. Journal of Engineering, 2016, 1-12.

Rut, J., 2017. Komputerowe systemy wspomagania decyzji w procesach produkcyjno-logistycznych przedsiębiorstw (cz. 1). Logistyka, 2017(2), 8-10.

Rut, J., 2017. Komputerowe systemy wspomagania decyzji w procesach produkcyjno-logistycznych przedsiębiorstw (cz. 2). Logistyka, 2017(3), 2-9.

Seidenstricker, S., Rauch, E., Battistella, C., 2017. Business model engineering for distributed manufacturing systems. Procedia CIRP, 62, 135-140.

Srai, J.S., Kumar, M., Graham, G., Phillips, W., Tooze, J., Ford, S., Beecher, P., Raj, B., Gregory, M., Tiwari, M.K., Ravi, B., Neely, A., Shankar, R., Charnley, F., Tiwari, A., 2016.

Distributed manufacturing: scope, challenges and opportunities. International Journal of Production Research, 54(23), 6917-6935.

Woo, J., B., Kulvatunyou, B., Cho, H., 2008. Allocation of manufacturers through internet-based collaboration for distributed process planning. International Journal of Production Research, 46(7), 1991-2007.



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