[HTML][HTML] Analyzing resilient performance of workers with multiple disturbances in production systems

N Yasue, E Mahmoodi, ER Zúñiga, M Fathi - Applied Ergonomics, 2025 - Elsevier
With the emergence of Industry 5.0 and an increasing focus on human-centric approaches in
manufacturing, the analysis of workers in production systems has gathered significant …

[HTML][HTML] Recent Progress in Data-Driven Intelligent Modeling and Optimization Algorithms for Industrial Processes

S Du, Z Huang, L Jin, X Wan - Algorithms, 2024 - mdpi.com
This editorial discusses recent progress in data-driven intelligent modeling and optimization
algorithms for industrial processes. With the advent of Industry 4.0, the amalgamation of …

Optimizing integrated distributed flexible job-shop scheduling and customer order delivery

M Fathi, MA Beheshtinia, M Ghobakhloo… - Journal of Industrial …, 2024 - Taylor & Francis
This study addresses the Distributed Flexible Job-Shop Scheduling Problem (DFJSP) while
considering the delivery of customer orders and transportation time. To tackle the problem, a …

Hambatan Implementasi Sistem Manajemen Akuntabilitas di Sekolah Dasar Negeri

T Triwiyanto, DE Kusumaningrum… - … : Jurnal Pendidikan dan …, 2024 - ejournal.uksw.edu
The aim of this research is to determine the obstacles in implementing an accountability
management system in state elementary schools, in the aspects of the curriculum, human …

[HTML][HTML] Data-driven advisory system for industrial manufacturing. Application to the aluminum extrusion process

A Kochański, J Kozłowski, M Perzyk… - Knowledge-Based …, 2024 - Elsevier
The article presents a methodology for developing systems supporting optimal decision-
making in the selection of manufacturing process parameters and tooling, from the point of …

A framework for data-driven decision making in advanced manufacturing systems: Development and implementation

VK Ojha, S Goyal, M Chand… - Concurrent …, 2024 - journals.sagepub.com
Integration of sophisticated technologies such as Internet of Things, cyber physical systems
and big data analytics have revolutionized the advanced manufacturing systems (AMS) …

Smart industrial information integration: a lightweight privacy protection model in an intelligent manufacturing architecture

M Yang, G Huang, Y Liao, L Wang… - Journal of …, 2024 - Taylor & Francis
In the industrial ecosystem, both the manufacturing and edge clouds collaborate via
virtualisation technology, playing a crucial role in the efficient aggregation and processing of …

THE IMPLICATIONS OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO DATA-DRIVEN DECISION-MAKING

J Sutherns, G Fanta - The South African Journal of Industrial …, 2024 - sajie.journals.ac.za
Integrating artificial intelligence (AI) into data-driven decision-making offers advantages like
increased performance, reduced costs and improved organisational efficiency; however …

Multi-objective optimization of transfer line balancing problem considering cycle time and energy expenditure

J Petersen, A Nourmohammadi, M Fathi, C Burmeister - Procedia CIRP, 2024 - Elsevier
The transfer lines are among highly complex automated production systems that
manufacture a large volume of identical or similar products with high demand. Recently, the …

Policy Making to Encourage Platform Thinking in Manufacturing: A System Dynamics-based Multi-Objective Optimization Approach

E Mahmoodi, M Fathi - Procedia CIRP, 2024 - Elsevier
Platform thinking involves creating an ecosystem that enables different participants to
interact and co-create value. This mindset shift moves away from the traditional linear value …