Cognitive decision-making algorithms for sustainable manufacturing processes in industry 4.0: Networked, smart, and responsive devices

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.