Abstract
This paper presents a platform for adaptive production management developed in the ARUM (Adaptive pRodUct Management, http://arum-project.eu/) 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.
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Wajid, U., Chepegin, V., Meridou, D.T., Papadopoulou, ME.C., Barbosa, J. (2015). Adaptive Production Management Using a Service-Based Platform. In: Mařík, V., Schirrmann, A., Trentesaux, D., Vrba, P. (eds) Industrial Applications of Holonic and Multi-Agent Systems. HoloMAS 2015. Lecture Notes in Computer Science(), vol 9266. Springer, Cham. https://doi.org/10.1007/978-3-319-22867-9_12
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DOI: https://doi.org/10.1007/978-3-319-22867-9_12
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