ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to better understand cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0. Using and replicating data from Capgemini, Deloitte, McKinsey, Optus Business, and PwC, we performed analyses and made estimates regarding Industry 4.0 levers mapped to the main value drivers (%), current status of smart factory initiatives (%), and transformation management intensity parameters (%). Data were analyzed using structural equation modeling.
JEL codes: E24; J21; J54; J64
Keywords: cognition; decision making; algorithm; Industry 4.0; sustainability
How to cite: Hollowell, Jane Catherine, Boris Kollar, Jaromir Vrbka, and Erika Kovalova (2019). “Cognitive Decision-Making Algorithms for Sustainable Manufacturing Processes in Industry 4.0: Networked, Smart, and Responsive Devices,” Economics, Management, and Financial Markets 14(4): 9–15. doi:10.22381/EMFM14420191
Received 17 August 2019 • Received in revised form 11 December 2019
Accepted 12 December 2019 • Available online 15 December 2019