Maria Leonilde Rocha Varela

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Assistant Professor

University of Minho

Portugal

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Maria Leonilde Rocha Varela is an Assistant Professor at the University of Minho, Portugal. Her research focuses on integrating Robotic Process Automation with Artificial Intelligence, Industry 4.0, and addressing challenges in manufacturing management. Recent publications include frameworks for optimizing human-computer interaction and predictive maintenance through sustainable models, as well as exploring the role of user-generated content in quality management.

Recent Grants

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DigiIndustry - Digitalização e Automatização de Processos Industriais

Open Date: 2022-09-01

Close Date: 2025-12-31

Grant: Close

Collaborative Platform based on Data Normalization Techniques and Dynamic Fuzzy Multi-criteria approaches for Integrated Manufacturing and Maintenance Information Processing

Open Date: 2022-01-01

Close Date: 2023-07-01

Grant: Close

ADM.IN - Advanced Decision Making in productive systems through Intelligent Networks

Open Date: 2020-10-01

Close Date: 2023-03-01

Grant: Close

An Innovative Higher Education Institution Training Toolbox to Effectivelly Address the European Industry 4.0 Skills Gap and Mismatches (ICARUS)

Open Date: 2019-09-01

Close Date:

Grant: Close

Social Network based doctoral Education on Industry 4.0

Open Date: 2017-01-01

Close Date: 2020-12-01

Maria Leonilde Rocha Varela

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (26)

A Framework for Integrating Robotic Process Automation with Artificial Intelligence Applied to Industry 5.0

Manufacturing Management Processes Integration Framework

Framework for Integrating Requirements Engineering and DevOps Practices in Robotic Process Automation with a Focus on Optimizing Human–Computer Interaction

Implementation of a Sustainable Framework for Process Optimization Through the Integration of Robotic Process Automation and Big Data in the Evolution of Industry 4.0

Proposal for a Sustainable Model for Integrating Robotic Process Automation and Machine Learning in Failure Prediction and Operational Efficiency in Predictive Maintenance

Multiobjective Optimization in Distributed Industry and Environmental Sustainability: a Systematic Literature Review

Self-organization in open and very large and complex design and manufacturing networks through entropy and power law distribution

Exploring the user-generated content data to improve quality management

Optimizing perishable food products across states: A multi objective evolutionary algorithm for surplus to deficit transportation

GROUP DECISION MAKING APPROACH FOR RANKING AND SELECTING MAINTENANCE TASKS FOR JOINT SCHEDULING WITH PRODUCTION ORDERS

GROUP DECISION MAKING APPROACH FOR RANKING AND SELECTING MAINTENANCE TASKS FOR JOINT SCHEDULING WITH PRODUCTION ORDERS

IDENTIFICATION OF THE MAJOR TRENDS IN CURRENT MAINTENANCE POLICIES USING LDA METHODOLOGY FOR SEMANTIC ANALYSIS OF THE PUBLISHED RESEARCH RESULTS

Integration of Artificial Intelligence and Robotic Process Automation: Literature Review and Proposal for a Sustainable Model

Reducing Energy Consumption Using DOE and SPC on Cork Agglomeration Line

Global Resources Management: A Systematic Review and Framework Proposal for Collaborative Management of CPPS

Collaborative manufacturing and management contextualization in the Industry 4.0 based on a systematic literature review

Leveraging Blockchain to Support Collaborative Distributed Manufacturing Scheduling

Sustainable Implementation of Robotic Process Automation Based on a Multi-Objective Mathematical Model

Bio-inspired multi-objective algorithms applied on production scheduling problems

Analysis of a Collaborative Scheduling Model Applied in a Job Shop Manufacturing Environment

A Statistical Comparison of Metaheuristics for Unrelated Parallel Machine Scheduling Problems with Setup Times

The concept of collaborative engineering: a systematic literature review

Collaborative and Intelligent Networks and Decision Systems and Services for Supporting Engineering and Production Management

Collaborative and Intelligent Networks and Decision Systems and Services for Supporting Engineering and Production Management

A Statistical Comparison of Metaheuristics for Unrelated Parallel Machine Scheduling Problems with Setup Times

An innovative approach for resource sharing and scheduling in a sustainable distributed manufacturing system

Collaborators (13)

Ana Maria A. C. Rocha

Miguel Ângelo Silva Pereira

Francisco Álvaro dos Santos

Ana I. Pereira

Luis Fonseca

Fernando Romero

Justyna Trojanowska

Paulo Ávila

Cátia Alves

Nuno Lopes

Lino Costa

Manuel Felgueiras

José Machado

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