Industry 4.0‐Driven Development of Optimization Algorithms: A Systematic Overview

R Csalódi, Z Süle, S Jaskó, T Holczinger… - Complexity, 2021 - Wiley Online Library
The Fourth Industrial Revolution means the digital transformation of production systems.
Cyber‐physical systems allow for the horizontal and vertical integration of these production …

Designing a Simulink model for a mixed model stochastic assembly line: A case study using a water bottling plant

RB Kuriakose, HJ Vermaak - Journal of Discrete Mathematical …, 2020 - Taylor & Francis
As the world is moving into the 4th Industrial revolution, commonly referred to as Industry
4.0, mass production is giving way to mass customization. This shift necessitates a change …

Analyzing the performance of a digital shadow for a mixed-model stochastic system

P Tshabalala, RB Kuriakose - Communication and Intelligent Systems …, 2022 - Springer
The industry 4.0 era has brought about many trend breaking strategies in the manufacturing
structure. These new approaches have resulted in ensuring the production process being …

Devising a novel means of introducing collaborative decision-making to an automated water bottling plant to study the impact of positive drift

J Coetzer, RB Kuriakose, HJ Vermaak - ICT Analysis and Applications …, 2020 - Springer
Cycle time refers to the amount of time allotted to accomplish a certain process in an
assembly process. The deviation from the optimal cycle time is technically referred to as drift …

Creating a decentralized communication protocol for SMART manufacturing units within industry 4.0

GA Gericke, RB Kuriakose, HJ Vermaak… - … Conference on Data …, 2021 - Springer
Communication protocols drive the flow of data between machines in a manufacturing
setting. The speed of data flow is one of the factors that determines the speed of production …

Implementing Tactile Internet Using 5G Network for Cloud Manufacturing in a PLC-Driven Water Bottling Plant

RB Kuriakose, HJ Mokotjo - World Conference on Information Systems for …, 2023 - Springer
Key characteristics of a smart manufacturing environment are system automation, data
storage, remote monitoring, prediction of bottlenecks, and the ability to interrupt a physical …

Using the OEE Score to Enable Collaborative Decision-Making for Human–Machine Interaction in an Industry 5.0 Setting

J Coetzer, RB Kuriakose, HJ Vermaak - World Conference on Information …, 2023 - Springer
Industry 5.0 characterizes a paradigm shift in which the main goal is no longer the need to
boost economic benefits brought about by the unending increase in production processes in …

Designing an Experimental Setup for Incorporating Data Provenance into Blockchain Smart Contracts in a Smart Manufacturing Environment

OL Mokalusi, RB Kuriakose, HJ Vermaak - International Conference on …, 2022 - Springer
Data provenance in a Smart Manufacturing Environment process points to the origin of every
raw material, processing, packaging, and distributing. The current challenges that …

Optimization of A Real Time Multi Mixed Make-To-Order Assembly Line to Reduce Positive Drift

R Kuriakose - 2019 - ir.cut.ac.za
Assembly lines are critical for the realization of product manufacture. In recent times, there
has been a shift from the make-to-stock (mass production) approach to a make-to-order …

[PDF][PDF] Industry 4.0-Driven Development of Optimization Algorithms: A Systematic Overview

J Abonyi - 2021 - academia.edu
Review Article Industry 4.0-Driven Development of Optimization Algorithms: A Systematic
Overview Page 1 Review Article Industry 4.0-Driven Development of Optimization Algorithms: A …