Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Intelligent Systems, Applications and Environments for the Industry of the Future
Guest editors: Davy Preuveneers and Elisabeth Ilie-Zudor
Article type: Research Article
Authors: Marques, Mariaa; * | Agostinho, Carlosa | Zacharewicz, Gregoryb | Jardim-Gonçalves, Ricardoc
Affiliations: [a] Center of Technology and Systems, CTS UNINOVA2829-516 Caparica, Portugal. E-mail: mcm@uninova.pt | [b] University Bordeaux, CNRS UMR 5218, IMS, F 33405 Talence Cedex, France | [c] DEE/FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
Correspondence: [*] Corresponding author. Tel.: +351 212 948 529; Fax: +351 21 2957786; E-mail: mcm@uninova.pt.
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.
Keywords: Industry 4.0, decentralized decision support, manufacturing, industrial digitalization
DOI: 10.3233/AIS-170436
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 3, pp. 299-313, 2017
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl