Enhancing the Decision-Making Process through Industry 4.0 Technologies

Frédéric Rosin, Pascal Forget, Samir Lamouri and Robert Pellerin
Additional contact information
Frédéric Rosin: Laboratoire d’Automatique, de Mécanique et d’Informatique Industrielles et Humaines (LAMIH)—UMR CNRS 8201, Arts et Métiers Sciences et Technologies, Institute of Technology, 151 Boulevard de l’hôpital, 75013 Paris, France
Pascal Forget: Industrial Engineering Department, University of Quebec at Trois-Rivieres, Trois-Rivières, QC G8Z 4M3, Canada
Samir Lamouri: Laboratoire d’Automatique, de Mécanique et d’Informatique Industrielles et Humaines (LAMIH)—UMR CNRS 8201, Arts et Métiers Sciences et Technologies, Institute of Technology, 151 Boulevard de l’hôpital, 75013 Paris, France
Robert Pellerin: Department of Mathematics and Industrial Engineering, École Polytechnique de Montréal, Montreal, QC H3T 1J4, Canada

Sustainability, 2022, vol. 14, issue 1, 1-35

Abstract: In order to meet the increasingly complex expectations of customers, many companies must increase efficiency and agility. In this sense, Industry 4.0 technologies offer significant opportunities for improving both operational and decision-making processes. These developments make it possible to consider an increase in the level of operational systems and teams’ autonomy. However, the potential for strengthening the decision-making process by means of these new technologies remains unclear in the current literature. To fill this gap, a Delphi study using the Régnier Abacus technique was conducted with a representative panel of 24 experts. The novelty of this study was to identify and characterize the potential for enhancing the overall decision-making process with the main Industry 4.0 groups of technologies. Our results show that cloud computing appears as a backbone to enhance the entire decision-making process. However, certain technologies, such as IoT and simulation, have a strong potential for only specific steps within the decision-making process. This research also provides a first vision of the manager’s perspectives, expectations, and risks associated with implementing new modes of decision-making and cyber-autonomy supported by Industry 4.0 technologies.

Keywords: Industry 4.0; decision making; Cyber-Physical Production Systems (CPPS); Human–Cyber–Physical Systems (HCPS); autonomy; Lean; sustainability; Delphi; Régnier abacus (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/1/461/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/1/461/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:1:p:461-:d:716241

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().