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Article Dans Une Revue JAISE - Journal of Ambient Intelligence and Smart Environments Année : 2017

Decentralized decision support for intelligent manufacturing in Industry

Résumé

" Industry 4.0 " is recognized as the future of industrial production in which concepts as Smart Factory and Decentralized Decision Making are fundamental. This paper proposes a novel strategy to support decentralized decision, whilst identifying opportunities and challenges of Industry 4.0 contextualizing the potential that represents industrial digitalization and how technological advances can contribute for a new perspective on manufacturing production. It is analysed a set of barriers to the full implementation of Industry 4.0 vision, identifying areas in which decision support is vital. Then, for each of the identified areas, the authors propose a strategy, characterizing it together with the level of complexity that is involved in the different processes. The strategies proposed are derived from the needs of two of Industry 4.0 main characteristics: horizontal integration and vertical integration. For each case, decision approaches are proposed concerning the type of decision required (strategic, tactical, operational and real-time). Validation results are provided together with a discussion on the main challenges that might be an obstacle for a successful decision strategy.
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Dates et versions

hal-01517407 , version 1 (16-10-2017)

Identifiants

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Maria Marques, Carlos Agostinho, Grégory Zacharewicz, Ricardo Goncalves. Decentralized decision support for intelligent manufacturing in Industry. JAISE - Journal of Ambient Intelligence and Smart Environments, 2017, 9 (3), pp.299-313. ⟨10.3233/AIS-170436⟩. ⟨hal-01517407⟩
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