The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …

With growing evidence of deep learning-assisted smart process planning, there is an
essential demand for comprehending whether cyber-physical production systems (CPPSs) …

The purpose of our systematic review was to inspect the recently published research on
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …

With growing evidence of the operational performance of cyber-physical manufacturing
systems, there is a pivotal need for comprehending sustainable, smart, and sensing …

We develop a conceptual framework based on a systematic and comprehensive literature
review on cyber-physical manufacturing systems. Building our argument by drawing on data …

This paper analyzes the outcomes of an exploratory review of the current research on
Internet of Things-based real-time production logistics, sustainable industrial value creation …

In this article, we cumulate previous research findings indicating that cyber-physical
production systems bring about operations shaping social sustainability performance …

The objective of this systematic review was to analyze the recently published literature on
the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data …

Empirical evidence on deep learning-enabled smart process planning has been scarcely
documented in the literature. Using and replicating data from Deloitte, KSM, PwC, SME …

This article presents an empirical study carried out to evaluate and analyze deep learning-
assisted smart process planning, cognitive automation, and industrial big data analytics in …