Paulo Sampaio

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Associate Professor

University of Minho

Portugal

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Paulo Sampaio is an Associate Professor at Universidade do Minho in Portugal. His research areas encompass quality management, risk management for medical device SMEs, and the application of machine learning in industrial processes. He has published articles focusing on Quality 4.0, sustainability in industrial production, and predictive modeling in energy management. His work aims to enhance collaboration between academia, industry, and government during disruptive periods.

Recent Grants

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HMIEXCEL - I&D crítica em torno do ciclo de desenvolvimento e produção de soluções multimédia avançadas para automóvel Multivariate Statistical Process Control Implementation on HUD Production Process

Open Date: 2014-12-01

Close Date: 2015-06-01

Grant: Close

Open Date: 2014-12-01

Close Date: 2015-06-01

Grant: Close

ESTUDO DO FENÓMENO ISO 9000 - ORIGENS, MOTIVAÇÕES, CONSEQUÊNCIAS E PERSPECTIVAS

Open Date: 2004-10-01

Close Date: 2008-09-01

Grant: Close

ESTUDO DO FENÓMENO ISO 9000 - ORIGENS, MOTIVAÇÕES, CONSEQUÊNCIAS E PERSPECTIVAS

Open Date: 2004-10-01

Close Date: 2008-09-30

Paulo Sampaio

Research Interests

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About

Recent Grants

Articles (20)

Risk management as a crucial and challenging process for medical devices SMEs: evidence from a multiple case study on Brazilian and Portuguese startups

Implementation and improvement of Integrated Management Systems: recommendations for their adaptation to the ISO High-Level structure

Prediction of pollutant emission characteristics in ISO50001 energy management in the Americas: Uni and multivariate machine learning approach

Quality 4.0 in higher education: reinventing academic-industry-government collaboration during disruptive times

Enhancing quality 4.0 and reducing costs in lot-release process with machine learning-based complaint prediction

Predictive quality model for customer defects

Construction of taxonomy of conceptualization of sustainability in improving the industrial production process

The Quality 4.0 Roadmap: Designing a capability roadmap toward quality management in Industry 4.0

Applying SWARA approach and refined Kano model to classify and rank customer requirements, case study: automotive industry in Portugal

Service-oriented manufacturing supply chain: risks and their resonant effect

An innovative maturity model to assess supply chain quality management

Operational excellence, organizational culture, and agility: bridging the gap between quality and adaptability

Risks and supply chain performance: globalization and COVID-19 perspectives

Organizational maturity models: the leading research fields and opportunities for further studies

Performance measurement model for technical universities – case study

Optical bonding process of flat panel displays and their critical-to-quality factors

Lean and Industry 4.0: A Review of the Relationship, Its Limitations, and the Path Ahead with Industry 5.0

The impact of global risks on supply chain performance. An empirical study on construction sector in the COVID-19 pandemic

Integration of multi-criteria decision-making approaches adapted for quality function deployment: an analytical literature review and future research agenda

ISO 9001:2015 and risk-based thinking: scientific research insights

Collaborators (8)

João Álvaro Carvalho

Paulo Sergio Lima Pereira Afonso

Paulo Novais

José Manuel Ferreira Machado

Pedro Saraiva

André M. Carvalho

Júlio C. Viana

Slawomir Wawak

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