A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research …

S Ren, Y Zhang, Y Liu, T Sakao, D Huisingh… - Journal of cleaner …, 2019 - Elsevier
Smart manufacturing has received increased attention from academia and industry in recent
years, as it provides competitive advantage for manufacturing companies making industry …

Fault detection and diagnosis in a cement rotary kiln using PCA with EWMA-based adaptive threshold monitoring scheme

A Bakdi, A Kouadri, A Bensmail - Control Engineering Practice, 2017 - Elsevier
This paper presents main results of fault detection and diagnosis in a cement manufacturing
plant using a new monitoring scheme. The scheme is based on multivariate statistical …

Observer-based fault detection for high-order nonlinear multi-agent systems

X Liu, X Gao, J Han - Journal of the Franklin Institute, 2016 - Elsevier
This paper focuses on the problem of fault detection (FD) for high-order heterogeneous
nonlinear multi-agent systems. The nonlinear part of the multi-agent systems comprises a …

Designing a fuzzy Q-learning multi-agent quality control system for a continuous chemical production line–A case study

N Sahebjamnia, R Tavakkoli-Moghaddam… - Computers & Industrial …, 2016 - Elsevier
In continuous chemical production lines, final products are produced through irreversible
and continuous reactions in successive departments. So, the quality of the final products …

Competitive priorities for regional operations: a Delphi study

CM Durugbo, AL Anouze, O Amoudi… - Production Planning & …, 2021 - Taylor & Francis
Perceptions and principles of competitiveness in the context of production and operations
management (POM) have evolved over time towards trends in which firms compete at …

[PDF][PDF] Literature review and challenges for the adaptation, implementation of digitiza-tion, and data analytics for operational excellence in the cement and aggregate …

K Boakye, D Winters, S Simske - … of the 2022 SME Annual Meeting …, 2022 - researchgate.net
The application of digitization to operations and logistics is commonplace. From advanced
data analytics to intelligent networks, digitization offers tremendous opportunities to create …

[HTML][HTML] LSTENet: Cement productivity prediction using a self-attention spatio-temporal variational autoencoder

G Shi, S Pan, R Zou - Powder Technology, 2024 - Elsevier
In the advent of the Industry 4.0 paradigm, intelligent manufacturing has gained prominence
with the integration of advanced Artificial Intelligence (AI) technologies aimed at augmenting …

Agent-based monitoring service for management of disruptive events in supply chains

E Fernández, CM Toledo, MR Galli, E Salomone… - Computers in …, 2015 - Elsevier
Schedules of supply chains are generated with buffers to absorb the effect of disruptive
events that could occur during their execution. Schedules can be systematically repaired …

A multi-agent system for minimizing energy costs in cement production

O Yildirim, G Kardas - Computers in industry, 2014 - Elsevier
A cement production planning system is expected to minimize energy costs. Further, such a
system needs to be as autonomous as possible to decrease time loss during the …

Modelling and simulation of raw material blending process in cement raw mix milling installations

D Tsamatsoulis - The Canadian Journal of Chemical …, 2014 - Wiley Online Library
A series of multivariable models composed from linear differential equations, integrals, and
delays has been developed to describe the dynamics of mixing of the raw materials during …