Adaptive Production Management Using a Service-Based Platform

  • Usman Wajid
  • Vadim Chepegin
  • Despina T. Meridou
  • Maria-Eleftheria Ch. Papadopoulou
  • José Barbosa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9266)


This paper presents a platform for adaptive production management developed in the ARUM (Adaptive pRodUct Management, project. The design of ARUM platform started with applying a traditional enterprise Service-Oriented Architecture (SOA) paradigm to solving an integration problem for the production ramp-up of highly customized products such as aircrafts, ships, etc. The production of such articles is exceptionally challenging for planning and control, especially in small lot sizes. Often requests for changes at any stage of the production, immature products and processes bring serious additional risks for the producers and customers. To counter such issues requires new strategies, the core elements of most of them include early detection of unexpected situations followed by rapid mitigation actions. Furthermore, human beings cannot cope any longer with processing a massive volume of data that comes with a high velocity from various sources that is a requirement for any modern production shop floor. The traditional IT solutions also fall short when trying to satisfy all those requirements and this motivates the need for ARUM platform to help in effective decision making.


System architecture Adaptive manufacturing Enterprise service bus 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Marín, C.A., Mönch, L., Liu, L., Mehandjiev, N., Lioudakis, G.V., Kazanskaia, D., Chepegin, V.: Application of intelligent service bus in a ramp-up production context. In: CAiSE 2013, Valencia, Spain, June 17-21, 2013Google Scholar
  2. 2.
    Inden, U., Mehandjiev, N., Mönch, L., Vrba, P.: Towards an ontology for small series production. In: Mařík, V., Lastra, J.L.M., Skobelev, P. (eds.) HoloMAS 2013. LNCS, vol. 8062, pp. 128–139. Springer, Heidelberg (2013)Google Scholar
  3. 3.
    Leitão, P., Barbosa, J., Vrba, P., Skobelev, P., Tsarev, A., Kazanskaia, D.: Multi-agent system approach for the strategic planning in ramp-up production of small lots. In: SMC 2013, Manchester, UK, October 13-16, 2013Google Scholar
  4. 4.
    Marin, C., Moench, L., Leitao, P., Vrba, P., Kazanskaia, D., Chepegin, V., Liu, L., Mehandjiev, N.: A conceptual architecture based on intelligent services for manufacturing support systems. In: SMC 2013, Manchester, UK, October 13-16, 2013Google Scholar
  5. 5.
    Biele, A., Mönch, L.: Using a math-heuristic to optimize mixed model assembly lines in low-volume manufacturing. Informs Annual Meeting, Minneapolis, Minnesota, USA, October 2013Google Scholar
  6. 6.
    Leitão, P., Barbosa, J.: Adaptive scheduling based on self-organized holonic swarm of schedulers In: ISIE 2014, Instanbul, Turkey, June 1-4, 2014Google Scholar
  7. 7.
    Vrba, P., Myslik, M., Klima, M.: JBoss ESB sniffer: message flow visualization for enterprise service bus. In: ISIE 2014, Instanbul, Turkey, June 1-4, 2014Google Scholar
  8. 8.
    Stellingwerff, L., Pazienza, G.E.: An agent-based architecture to model and manipulate context knowledge. In: Demazeau, Y., Zambonelli, F., Corchado, J.M., Bajo, J. (eds.) PAAMS 2014. LNCS, vol. 8473, pp. 256–267. Springer, Heidelberg (2014)Google Scholar
  9. 9.
    Ferreira, A., Pereira, A., Rodrigues, N., Barbosa J., Leitão, P.: Integration of an agent-based strategic planner in an enterprise service bus ecosystem. In: 13th IEEE International Conference on Industrial Informatics (INDIN 2015), Cambridge, UK, July 22-24, 2015Google Scholar
  10. 10.
    Rocha, A., di Orio, G., Barata, J., Antzoulatos, N., Castro, E., Scrimieri, D., Ratchev, S., Ribeiro, L.: An agent based framework to support plug and produce. In: 2014 12th IEEE International Conference on Industrial Informatics (INDIN), vol. 504, no. 510, pp. 27–30, July 2014Google Scholar
  11. 11.
    Karnouskos, S., Colombo, A.W., Bangemann, T., Manninen, K., Camp, R., Tilly, M., Sikora, M., Jammes, F., Delsing, J., Eliasson, J., Nappey, P., Hu, J., Graf, M.: The IMC-AESOP Architecture for Cloud-Based Industrial Cyber-Physical Systems. In: Colombo, A.W., Bangemann, T., Karnouskos, S., Delsing, J., Stluka, P., Harrison, R., Jammes, F., Lastra, J.L. (eds.) Industrial Cloud-Based Cyber-Physical Systems, pp. 49–88. Springer International Publishing, Cham (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Usman Wajid
    • 1
  • Vadim Chepegin
    • 2
  • Despina T. Meridou
    • 3
  • Maria-Eleftheria Ch. Papadopoulou
    • 3
  • José Barbosa
    • 4
  1. 1.The University of ManchesterManchesterUK
  2. 2.TIE KinetixBreukelenNetherlands
  3. 3.School of Electrical and Computer EngineeringNational Technical University of AthensAthensGreece
  4. 4.Polytechnic Institute of BragançaBragançaPortugal

Personalised recommendations