Logistics 4.0: a systematic review towards a new logistics system

S Winkelhaus, EH Grosse - International Journal of Production …, 2020 - Taylor & Francis
Enterprises are confronted with new customer requirements and challenged by global
competition leading to fundamental changes of today's industry. Against this background, at …

Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives

SS Kamble, A Gunasekaran, SA Gawankar - Process safety and …, 2018 - Elsevier
Industry 4.0 and its other synonyms like Smart Manufacturing, Smart Production or Internet of
Things, have been identified as major contributors in the context of digital and automated …

Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework

SS Kamble, A Gunasekaran, H Parekh, V Mani… - … Forecasting and Social …, 2022 - Elsevier
A digital twin is an integration of virtual and physical systems using disruptive technologies.
More precisely, it is a method of developing sustainable, intelligent manufacturing systems …

The role of artificial intelligence in supply chain management: mapping the territory

R Sharma, A Shishodia, A Gunasekaran… - … Journal of Production …, 2022 - Taylor & Francis
The study aims to identify the current trends, gaps, and research opportunities in research
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …

Artificial intelligence in operations management and supply chain management: An exploratory case study

P Helo, Y Hao - Production Planning & Control, 2022 - Taylor & Francis
With the development and evolution of information technology, competition has become
more and more intensive on a global scale. Many companies have forecast that the future of …

Supply chain management in the era of circular economy: the moderating effect of big data

M Del Giudice, R Chierici, A Mazzucchelli… - … International Journal of …, 2021 - emerald.com
Purpose This paper analyzes the effect of circular economy practices on firm performance
for a circular supply chain and explores the moderating role that big-data-driven supply …

A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management

RGG Caiado, LF Scavarda, LO Gavião, P Ivson… - International Journal of …, 2021 - Elsevier
Abstract Industry 4.0 (I4. 0) aims to link disruptive technologies to manufacturing systems,
combining smart operations and supply chain management (OSCM). Maturity models (MMs) …

Big data driven supply chain design and applications for blockchain: An action research using case study approach

B Sundarakani, A Ajaykumar, A Gunasekaran - Omega, 2021 - Elsevier
Blockchain appears to still be nascent in its growth and a relatively untapped asset. This
research investigates the need of blockchain in Industry 4.0 environment from Big Data …

Connecting circular economy and industry 4.0

S Rajput, SP Singh - International Journal of Information Management, 2019 - Elsevier
The purpose of this paper is to understand the hidden connection between Circular
Economy (CE) and Industry 4.0 in the context of supply chain. The factors responsible for …

A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

IM Cavalcante, EM Frazzon, FA Forcellini… - International Journal of …, 2019 - Elsevier
There has been an increased interest in resilient supplier selection in recent years, much of
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …