A cooperation platform for distributed manufacturing

• Autorzy: Roman Pietroń
• Języki publikacji: EN

Abstrakty

EN

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, planningand scheduling algorithms for DM network organisations. Some concepts are also adopted toidentify key factor criteria and reasoning policies and rules for production/manufacturingdecision support system. A final aim is to draw up a proposal for the development ofa prototype decision support system with the necessary communication and knowledge--oriented modules to be implemented in an example of dynamic, DM and logistics networkstructure, particularly for very popular dynamic cluster forms in Poland. The developedconcept of the organization of a multi-entity DM network will enable business-effective use ofthe system, supporting manufacturing decision-making, consulting and offering informationservices in the control centre (the so-calledCompetence Centre) by constructing virtualreality and access to services in a distributed network of cloud computing type. Integrationof the whole system into one information system will enable further analysis and the networkresource optimization of manufacturing and logistics processes, new analytical functions,reduction of delays in the manufacturing system, management of changes and risks, andvisualization of the current state of the DM system.(original abstract)

Słowa kluczowe

PL

Produkcja; Alokacja zasobów; Logistyka; Usługi informacyjne

EN

Production; Resource allocation; Logistics; Information services

• Czasopismo: Decision Making in Manufacturing and Services
• Rocznik: 2020
• Tom: 14
• Numer: nr 2
• Strony: 145-164

Twórcy

autor

Roman Pietroń

• Wrocław University of Science and Technology, Poland

Bibliografia

• Akoorie, M.E.M., Ding, Q., 2009. Global competitiveness in the Datang hosiery cluster,Zhejiang.Chinese Management Studies, 3(2), pp. 102-116.
• Dietrich, F., Palm, D., Louw, L., 2020. Smart contract based framework to increase transparency of manufacturing networks.Procedia CIRP, 91, pp. 278-283.
• 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 TechnicalAspects.Procedia CIRP, 57, pp. 704-709.
• Gąbka, J., Susz, S., 2016. Concept of decision support system assisting dispersed manufacturing networks. IV International Scientific-Technical Conference Manufacturing 2014,Selected Conference Proceedings. Poznań University of Technology, pp. 114-123.
• Kays, E., Karima, A., Varela, L., Putnik, G., Ávila, P., 2018. Ranked sequence positional weightheuristic for simultaneous balancing and scheduling jobs in a distributed manufacturing environment. Procedia CIRP, 67, pp. 3-7.
• Liu, Y., Xu, X., Zhang, L., Wang, L., Zhong, R.Y., 2017. Workload-based multitask schedulingin cloud manufacturing.Robotics and Computer-Integrated Manufacturing, 45, pp. 3-20.
• Matt, D.T., Rauch, E., Dallasega, P., 2015. Trends towards Distributed Manufacturing Systems and modern forms for their design.Procedia CIRP, 33, pp. 185-190.
• Milisavljevic-Syed, J., Allen, J.K., Commuri, S., Mistree, F., 2019. Design of networked manufacturing systems for Industry 4.0.Procedia CIRP, 81, pp. 1016-1021.
• Moghaddam, M., Shimon, Y., Nof, S.Y., Menipaz, E., 2016. Design and administration of collaborative networked headquarters. International Journal of Production Research, 54(23), pp. 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, 3, pp. 1-12.
• Rut, J., 2017a. Komputerowe systemy wspomagania decyzji w procesach produkcyjno-logistycznych przedsiębiorstw (cz. 1).Logistyka, 2, pp. 8-10.
• Rut, J., 2017b. Komputerowe systemy wspomagania decyzji w procesach produkcyjno-logistycznych przedsiębiorstw (cz. 2).Logistyka, 3, pp. 2-9.
• Seidenstricker, S., Rauch, E., Battistella, C., 2017. Business model engineering for distributed manufacturing systems. Procedia CIRP, 62, pp. 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), pp. 6917-6935.
• Szaller, Á., Egri, P., Kádár, B., 2020a. Trust-based resource sharing mechanism in distributed manufacturing. International Journal of Computer Integrated Manufacturing, 33(1), pp. 1-21.
• Szaller, Á., Pedone, G., Egri, P., Szaloki, A., Nick, G., 2020b. A mutualistic framework forsustainable capacity sharing in manufacturing. Procedia CIRP, 93, pp. 938-943.
• Woo, J., Kulvatunyou, B., Cho, H., 2008. Allocation of manufacturers through internet-based collaboration for distributed process planning. International Journal of Production Research, 46(7), pp. 1991-2007.
• Zheng, T., Ardolino, M., Bacchetti, A., Perona, M., 2020. The application of Industry 4.0 technologies in manufacturing context: a systematic literature review. International Journal of Production Research, October 2020, https://doi.org/10.1080/00207543.2020.1824085

Identyfikatory

DOI

10.7494/dmms.2020.14.2.3650