Enabling mass customization and manufacturing sustainability in industry 4.0 context: A novel heuristic algorithm for in-plant material supply optimization
M Fathi, M Ghobakhloo - Sustainability, 2020 - mdpi.com
The fourth industrial revolution and the digital transformation of consumer markets require
contemporary manufacturers to rethink and reshape their business models to deal with the …
contemporary manufacturers to rethink and reshape their business models to deal with the …
A complex garment assembly line balancing using simulation‐based optimization
O Bongomin, JI Mwasiagi, EO Nganyi… - Engineering …, 2020 - Wiley Online Library
The nascent wave of disruptive competition in the current business environment brought
about by the fourth industrial revolution (Fashion 4.0 or Apparel 4.0) is enormous. Therefore …
about by the fourth industrial revolution (Fashion 4.0 or Apparel 4.0) is enormous. Therefore …
Selection of the number of components for finite mixtures of linear mixed models
L Novais, S Faria - Journal of Interdisciplinary Mathematics, 2021 - Taylor & Francis
Over the last decades, linear models have been studied by the scientific community as an
important tool of statistical modelling in a great variety of phenomena. However, in many …
important tool of statistical modelling in a great variety of phenomena. However, in many …
The impact of collaborative decision-making in a smart manufacturing environment: case study using an automated water bottling plant
With the dawn of the Fourth Industrial Revolution (Industry 4.0), following three previous
industrial revolutions, many disruptive technologies such as cloud computing, the Internet of …
industrial revolutions, many disruptive technologies such as cloud computing, the Internet of …
Devising a novel means of introducing collaborative decision-making to an automated water bottling plant to study the impact of positive drift
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 …
assembly process. The deviation from the optimal cycle time is technically referred to as drift …
Designing an Experimental Setup for Data Provenance Tracking using a Public Blockchain: A Case Study using a Water Bottling Plant.
OL Mokalusi, RB Kuriakose… - International Journal of …, 2024 - search.ebscohost.com
Data provenance, in an end-to-end supply chain context, refers to the tracking of the origin
and history of every raw material, process, packaging and distribution involved in a …
and history of every raw material, process, packaging and distribution involved in a …
Using the OEE Score to Enable Collaborative Decision-Making for Human–Machine Interaction in an Industry 5.0 Setting
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 …
boost economic benefits brought about by the unending increase in production processes in …
Integrating IoT Sensors to Setup a Digital Twin of a Mixed Model Stochastic System for Real-Time Monitoring
P Tshabalala, RB Kuriakose - International Congress on Information and …, 2023 - Springer
The ongoing digital revolution, commonly referred to as Industry 4.0 has underpinned the
importance of real-time monitoring in the manufacturing industry. Real-time monitoring …
importance of real-time monitoring in the manufacturing industry. Real-time monitoring …
Developing a protocol for collaborative decision-making in a smart manufacturing environment
J Coetzer - 2023 - ir.cut.ac.za
The Fourth Industrial Revolution places different rapidly advancing technologies like the
Internet of Things (IoT), Internet of Services (IoS), Internet of Everything (IoE) and Cyber …
Internet of Things (IoT), Internet of Services (IoS), Internet of Everything (IoE) and Cyber …