Decentralized decision support for intelligent manufacturing in Industry 4.0

Maria Marques, Carlos Agostinho, Gregory Zacharewicz, Ricardo Jardim-Gonçalves

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)

Abstract

"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.

Original languageEnglish
Pages (from-to)299-313
Number of pages15
JournalJournal of Ambient Intelligence and Smart Environments
Volume9
Issue number3
DOIs
Publication statusPublished - 1 Jan 2017

Keywords

  • Decentralized decision support
  • Industrial digitalization
  • Industry 4.0
  • Manufacturing

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