TY - JOUR
T1 - Decentralized decision support for intelligent manufacturing in Industry 4.0
AU - Marques, Maria
AU - Agostinho, Carlos
AU - Zacharewicz, Gregory
AU - Jardim-Gonçalves, Ricardo
N1 - sem pdf.
European Union H2020 projects In Life (contract nr. 517018), IMAGINE (contract nr. 285132), C2NET (contract nr. 636909) and vf-OS (contract nr. 723710).
PY - 2017/1/1
Y1 - 2017/1/1
N2 - "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.
AB - "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.
KW - Decentralized decision support
KW - Industrial digitalization
KW - Industry 4.0
KW - Manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85017523080&partnerID=8YFLogxK
U2 - 10.3233/AIS-170436
DO - 10.3233/AIS-170436
M3 - Article
AN - SCOPUS:85017523080
SN - 1876-1364
VL - 9
SP - 299
EP - 313
JO - Journal of Ambient Intelligence and Smart Environments
JF - Journal of Ambient Intelligence and Smart Environments
IS - 3
ER -