Cloud Collaborative Manufacturing Networks

Project: EU project

Project Details


The goal of C2NET Project is the creation of cloud-enabled tools for supporting the supply network optimization of manufacturing and logistic assets based on collaborative demand, production and delivery plans. C2NET Project will provide a scalable real-time architecture, platform and software to allow the supply network partners: to master complexity and data security of the supply network, to store product, process and logistic data, to optimize the manufacturing assets by the collaborative computation of production plans, to optimize the logistics assets through efficient delivery plans and to render the complete set of supply chain management information on the any digital mobile device (PC, tablets, smartphones,…) of decision makers enabling them to monitor, visualize, control, share and collaborate. The Project results will be: i) the C2NET Data Collection Framework for IoT-based continuous data collection from supply network resources; ii) the C2NET Optimizer for the optimization of manufacturing and logistics assets of the supply network by the collaborative computation of production, replenishment and delivery plans; iii) the C2NET Collaboration Tools for providing support to the collaborative processes of the supply network, and iv) the C2NET Cloud Platform (C2NET CPL) to integrate the data module, the optimizers and the collaborative tools in the cloud. C2NET will be designed to comprehensively cover the entire supply chain considering all stages of manufacturing, distribution and sales to supply a product to market. Different actors in the supply network as plant managers, planners, carriers, shop floor workers, shop assistants or customers are potential users of the services that will be offered by C2NET. A distinguishing feature of these services is to have complete visibility and real-time status of the entire supply chain at all times looking for an optimal response to maximize both local and global benefit.
Effective start/end date1/01/1531/12/17

Collaborative partners

  • VTT Technical Research Centre of Finland
  • Atos SE (lead)
  • Universitat Politècnica de València (UPV)
  • Ikerlan Technology Research Centre
  • Centre of Technology and Systems (UNINOVA-CTS)
  • Instituto Tecnológico de Informática (ITI)
  • Tampere University of Technology (TUT)
  • Linagora Grand Sud Ouest SA
  • Caixa Mágica Software
  • Plastic Omnium Automotive España SA
  • Novatec Group
  • Pierre Fabre S.A.
  • Fluidhouse Oy
  • Laboratoire virtuelle Europeen dans le domaine de l'interoperabilite desentreprises
  • University of Minho
  • Flexefelina SA
  • António Abreu Metalomecánica Lda

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure

Funding category

  • EU-H2020


  • H2020-FoF-2014
  • Optimization Models to Support Decision-Making in Collaborative Networks: A Review

    Andres, B., Poler, R., Saari, L., Arana, J., Benaches, J.-V. & Salazar, J., 2018, Closing the Gap Between Practice and Research in Industrial Engineering. Viles, E., Ormazábal, M. & Lleó, A. (eds.). Springer, p. 249-258 (Lecture Notes in Management and Industrial Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

  • An Approach to Production Scheduling Optimization: A Case of an Oil Lubrication and Hydraulic Systems Manufacturer

    Katasonov, A., Lastusilta, T., Korvola, T., Saari, L., Bendas, D., Camp, R., Mohammed, W. M. & Lee Nieto, A., 2 Jul 2017, 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC): Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. Mendonca, J. P., Jardim-Goncalves, R., Martins, J., Zarli, A., Marques, M. & Pallot, M. (eds.). IEEE Institute of Electrical and Electronic Engineers, p. 1123-1130 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    3 Citations (Scopus)
  • A proposal of standardised data model for cloud manufacturing collaborative networks

    Andres, B. (Corresponding author), Sanchis, R., Poler, R. & Saari, L., 1 Jan 2017, Collaboration in a Data-Rich World: 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017. Camarinha-Matos, L. M., Afsarmanesh, H. & Fornasiero, R. (eds.). Cham: Springer, p. 77-85 (IFIP Advances in Information and Communication Technology, Vol. 506).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    5 Citations (Scopus)