Industry 4.0/5.0 · MCDM · Data Analytics

Hello, I am

Renan SantosProfessor & Researcher in Operations and Industrial Engineering

INPI · INFNET Institute · PUC-Rio

I research multicriteria decision-making, digital transformation and sustainable operations — and I teach predictive analytics and time series to the next generation of data scientists.

Portrait of Prof. Dr. Renan Silva Santos

15+

years of engineering, research and teaching

Research laboratory

About me

Between the classroom, the lab and the patent office

I am a researcher and professor working across operations management, multicriteria decision-making and data analytics. Since 2016 I have been a researcher at the Brazilian National Institute of Industrial Property (INPI), and I currently teach predictive models and time-series analysis in the Data Science MBA at INFNET Institute. My path includes a PhD from CEFET/RJ, postdoctoral research at PUC-Rio and the University of Münster (Germany), and previous experience as an engineer officer in the Brazilian Navy.

My research focuses on Industry 4.0/5.0, sustainability and lean management, combining methods such as MCDM, machine learning and non-parametric models to support real-world decisions in operations and supply chains.

Research areas

  • Multicriteria Decision-Making (MCDM)
  • Industry 4.0 & 5.0
  • Operations Management
  • Sustainability & Lean
  • Data Analytics
0+
Years of experience
0+
Publications
0
Postdoctoral research
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Countries worked in

Curriculum Vitae

Academic trajectory

Education, professional experience and honors across industry, the Navy and academia.

Lattes CV

Education

  1. 2024 — present

    PhD in Industrial Engineering

    Pontifical Catholic University of Rio de Janeiro (PUC-Rio)

    In progress, expected completion in 2028. Research on operations management and decision support, supervised by Prof. Luiz Felipe Scavarda.

  2. 2025 — 2026

    Postdoctoral Research

    University of Münster (WWU), Germany

    CNPq fellow at the Department of Information Systems, focusing on operations management in Industry 5.0.

  3. 2022 — 2024

    Postdoctoral Research

    Pontifical Catholic University of Rio de Janeiro (PUC-Rio)

    Multicriteria decision support, operations research and the Internet of Things.

  4. 2022 — 2024

    MBA in Big Data

    IBMEC

    Specialization in data analysis and big data technologies (450 hours).

  5. 2020 — 2022

    MSc in Sustainable Management Systems

    Fluminense Federal University (UFF)

    Dissertation: a taxonomy development methodology using MCDA and literature review, applied to IoT barriers and enablers in healthcare.

  6. 2015 — 2020

    PhD in Instrumentation and Applied Optics

    CEFET/RJ

    Thesis: a reconfigurable, tunable multilayer structure operating as a CMOS-compatible modulator/polarizer.

  7. 2012 — 2014

    MSc in Electrical Engineering

    CEFET/RJ

    Dissertation on the relation between gain ripple and pump-pump interaction in broadband distributed Raman amplifiers.

  8. 2006 — 2010

    BSc in Electrical Engineering (Telecommunications)

    Estácio de Sá University (UNESA)

    Capstone project on FSO links applied to cellular backhauls. PROUNI scholarship holder.

Professional experience

  1. 2016 — present

    Industrial Property Researcher

    Brazilian National Institute of Industrial Property (INPI)

    Patent examination in telecommunications, working on technological innovation and data analysis.

  2. 2025 — present

    Professor

    INFNET Institute

    Teaching predictive models and time-series analysis in the Data Science MBA program.

  3. 2023

    Technical Consultant

    EBPAR

    Applied multicriteria decision-making methods for resource optimization at PROCEL.

  4. 2021 — 2022

    Professor

    Estácio de Sá University

    Taught undergraduate courses in physics and electricity & electronics.

  5. 2011 — 2016

    Engineer Officer (Lieutenant)

    Brazilian Navy

    Specification and deployment of naval communications systems. Technical representative at the BAE Systems shipyard in Portsmouth, UK (2013).

Fellowships & certifications

  • 2025

    Postdoctoral Fellowship Abroad

    CNPq — University of Münster

  • 2023

    KNIME Certification

    KNIME

  • 2013

    Cambridge ESOL First Certificate (B2)

    University of Cambridge

Publications

Publications

  1. 2026An integrative framework for BIM, digital twin and generative AI convergence in construction: a multi-dimensional analysis of synergies and enabling factorsDiaz Schery, Carlos Alejandro, Caiado, Rodrigo Goyannes Gusmao, Ivson, Paulo, Santos, RS and Thadeu Corseuil, EduardoSmart and Sustainable Built Environment, pp. 1–39JournalRead paper
  2. 2026Building Information Modelling Maturity Assessment for Industry 5.0 with Prescriptive Capability PathwaysSchery, Carlos Alejandro Diaz, Caiado, Rodrigo Goyannes Gusmão, Vargas, Soraida Aguilar, Corseuil, Eduardo Thadeu, Santos, Renan Silva and Ivson, PauloTechnology in Society, pp. 103429JournalRead paper
  3. 2026Decision support system for smart maintenance combining multicriteria and machine learning approaches: case study at the Brazilian MintAlves do Nascimento, Jaqueline, Goyannes Gusmão Caiado, Rodrigo, Scavarda, Luiz Felipe, Silva Santos, Renan and Brito Alves Lima, GilsonInternational Journal of Quality & Reliability Management, pp. 1–33JournalRead paper
  4. 2025Lean transportation tools towards waste reduction and digital transformation in the offshore industry: an action-researchGomes, Joici Mendonça Muniz, Caiado, Rodrigo Goyannes Gusmão, Mareth, Taciana, Santos, Renan Silva and Scavarda, Luiz FelipeInternational Journal of Lean Six Sigma, vol. 16, no. 2, pp. 461–490JournalRead paper
  5. 2025Corporate social responsibility and circular economy integration framework within sustainable supply chain management: Building blocks for industry 5.0Santiago, Bruna da Silva, Scavarda, Luiz Felipe, Gusmão Caiado, Rodrigo Goyannes, Santos, Renan Silva and Mattos Nascimento, Daniel Luiz deCorporate Social Responsibility and Environmental Management, vol. 32, no. 1, pp. 269–290JournalRead paper
  6. 2025Balancing priorities: a configurational framework to achieve strategic benefits from sustainable Industry 4.0 enablers in operations and supply chainCaiado, Rodrigo Goyannes Gusmão, Santos, Renan Silva, Schery, Carlos Alejandro Días, Scavarda, Luiz Felipe and Garza-Reyes, Jose ArturoBusiness Strategy and the Environment, vol. 34, no. 3, pp. 2934–2963JournalRead paper
  7. 2025From Barriers to Digital Transformation Pathways in Brazil and GermanyPiovesan, Lia Denize, Thomé, Antônio Márcio Tavares, Caiado, Rodrigo Goyannes Gusmão and Santos, Renan SilvaSustainability, vol. 18, no. 1, pp. 45JournalRead paper
  8. 2024Industry 4.0 and Sustainability Integration in the Supply Chains of Micro, Small, and Medium Enterprises through People, Process, and Technology within the Triple Bottom Line PerspectiveMachado, Eduardo Augusto, Scavarda, Luiz Felipe, Caiado, Rodrigo Goyannes Gusmão and Santos, Renan SilvaSustainability, vol. 16, no. 3, pp. 1141JournalRead paper
  9. 2024Sustainable I4. 0 integration and transition to I5. 0 in traditional and digital technological organisationsCaiado, Rodrigo Goyannes Gusmão, Machado, Eduardo, Santos, Renan Silva, Thomé, Antonio Márcio Tavares and Scavarda, Luiz FelipeTechnological Forecasting and Social Change, vol. 207, pp. 123582JournalRead paper
  10. 2024Sustainable Industry 4.0 in Operations and Supply Chain Management: A Scoping Reviewda Silva Morais, Naísy, Paiva Sampaio, Manuela Lacerda, Gusmão Caiado, Rodrigo Goyannes and Santos, Renan SilvaImpact of Industry 4.0 on Supply Chain Sustainability: Current Status and Future Pathways, pp. 201–216Book ChapterRead paper
  11. 2024ANALYSIS OF OCCUPATIONAL HEALTH AND SAFETY TRENDS IN BRAZILIAN ECONOMIC SECTORSda Silva, Dayanni de Brito and Santos, Renan Silva and Domingos, Maria de Lurdes CostaEconomic and Social Development: Book of Proceedings, pp. 75–84ConferenceRead paper
  12. 2024TENDÊNCIAS E PERSPECTIVAS DA INTELIGÊNCIA ARTIFICIAL NO PLANEJAMENTO E CONTROLE DA PRODUÇÃOde Almeida Pereira, Joao Luis Ract, Caiado, Rodrigo Goyannes Gusmão, Santos, Renan Silva and Schery, Carlos Alejandro DiazAnais do Encontro Nacional de Engenharia de Produção (ENEGEP)ConferenceRead paper
  13. 2024Assessing the Eco-Efficiency of Coastal Shipping in Brazil with the DDF Malmquist Modelda Silva Araújo, Pedro Lemos and Santos, Renan SilvaInternational Joint Conference on Industrial Engineering and Operations Management (IJCIEOM)ConferenceRead paper
  14. 2024Wave of Change: Sustainable Fuel Selection in Maritime OperationsDutra, Felipe Santos, Araujo, Bianca Menezes, Santos, Renan Silva, Caiado, Rodrigo Goyannes Gusmao and Thomé, Antonio Marcio TavaresInternational Joint conference on Industrial Engineering and Operations Management, pp. 395–407ConferenceRead paper
  15. 2023A Socio-Technical Framework for Lean Project Management Implementation towards Sustainable Value in the Digital Transformation ContextLima, Bianca Felizardo, Neto, Julio Vieira, Santos, Renan Silva and Caiado, Rodrigo Goyannes GusmãoSustainability, vol. 15, no. 3, pp. 1756JournalRead paper
  16. 2023BIM critical factors and benefits for public sector: from a systematic review to an empirical fuzzy multicriteria approachSchery, Carlos Alejandro Díaz, Vignon, Yiselis Rodríguez, Caiado, Rodrigo Goyannes Gusmão, Santos, Renan Silva, Congro, Marcello, Corseuil, Eduardo Thadeu and Roehl, DeaneBrazilian Journal of Operations & Production Management, vol. 20, no. 3, pp. 1837–1837JournalRead paper
  17. 2023Prediction of external corrosion rate in Oil and Gas platforms using ensemble learning: a Maintenance 4.0 approachElmas, Fernanda Ramos, Rios, Marina Polonia, de Almeida Lima, Eduardo Rocha, Santos, Renan Silva and othersBrazilian Journal of Operations & Production Management, vol. 20, no. 3, pp. 1952–1952JournalRead paper
  18. 2023Barriers, Enablers and Base Industry 4.0 Technologies of Digital Transformation in Supply Chains: An Inter-Country ComparisonPiovesan, Lia Denize, Caiado, Rodrigo Goyannes Gusmão, Santos, Renan Silva and Thomé, Antônio Márcio TavaresInternational Joint conference on Industrial Engineering and Operations Management, pp. 521–539ConferenceRead paper
  19. 2023Asset Prioritization for Predictive Maintenance in the Context of Industry 4.0: A Group Multicriteria Approachdo Nascimento, Jaqueline Alves, Rodrigues, Esther Campos, Santos, Renan Silva, Caiado, Rodrigo Goyannes Gusmao and Scavarda, Luiz FelipeInternational Joint conference on Industrial Engineering and Operations Management, pp. 595–607ConferenceRead paper
  20. 2023DESAFIOS PARA IMPLEMENTAÇÃO DE PRÁTICAS SUSTENTÁVEIS EM CADEIAS DE SUPRIMENTOS NA INDÚSTRIA 4.0: UMA ANÁLISE DE CONTEÚDOda Silva Morais, Naísy, Santos, Renan Silva, Schery, Carlos Alejandro Diaz and Caiado, Rodrigo Goyannes GusmãoAnais do Encontro Nacional de Engenharia de Produção (ENEGEP)ConferenceRead paper
  21. 2022MRO Inventory Demand Forecast Using Support Vector Machine–A Case Studyde Paula Vidal, Guilherme Henrique, Caiado, Rodrigo Goyannes Gusmão, Scavarda, Luiz Felipe and Santos, Renan SilvaInternational Joint conference on Industrial Engineering and Operations Management, pp. 221–233ConferenceRead paper
  22. 2022Industrial Packaging Performance Indicator Using a Group Multicriteria Approach: An Automaker Reverse Operations Caseda Cruz, Marcelo Miguel and Caiado, Rodrigo Goyannes Gusmão and Santos, Renan SilvaLogistics, vol. 6, no. 3, pp. 58JournalRead paper
  23. 2022Efficiency Assessment of Public Transport Vehicles Using Machine Learning and Non-parametric ModelsKaiser, Bruna Cristina Siqueira, Santos, Renan Silva, Caiado, Rodrigo Goyannes Gusmeymão, Scavarda, Luiz Felipe and Netto, Paulo IvsonInternational Joint conference on Industrial Engineering and Operations Management, pp. 207–220ConferenceRead paper
  24. 2022MODELO HÍBRIDO DE APOIO MULTICRITÉRIO À DECISÃO NA GESTÃO DE ESTOQUES: UM ESTUDO DE CASO EM UMA FERROVIA DE TRANSPORTE DE CARGASde Paula Vidal, Guilherme Henrique, Caiado, Rodrigo Goyannes Gusmão, Santos, Renan Silva and othersAnais do Encontro Nacional de Engenharia de Produção (ENEGEP)ConferenceRead paper
  25. 2021Analysis of a tunable CMOS-compatible multilayer waveguide structure for dual polarizer-modulator operationSantos, Renan S and Martinez, Maria AGOptical and Quantum Electronics, vol. 53, no. 8, pp. 456JournalRead paper
  26. 2020ANÁLISE DE UMA ESTRUTURA DE MÚLTIPLAS CAMADAS RECONFIGURÁVEL E SINTONIZÁVEL PARA OPERAÇÃO COMO MODULADOR/POLARIZADOR COMPATÍVEL COM TECNOLOGIA CMOSSantos, Renan SilvaUniversidade Federal FluminensePhD ThesisRead paper
  27. 2018A simple tunable TE-pass CMOS compatible polarizerSantos, RS and Martinez, MAG and Giraldi, MTMRLatin America Optics and Photonics Conference, pp. Th3A–5ConferenceRead paper
  28. 2017A simple strategy to design broadband low power consumption distributed Raman amplifierSantos, Renan S and Martinez, Maria Aparecida G and Giraldi, Maria Thereza MRJournal of Microwaves, Optoelectronics and Electromagnetic Applications, vol. 16, no. 03, pp. 827–840JournalRead paper
  29. 2014On the Relation Between Gain Ripple and Pump-Pump Interaction in the Design of Broad Band Raman AmplifiersSantos, Renan Silva and Martinez, MAG and Giraldi, MTM Rocco16 SBMO-Simpósio Brasileiro de Micro-ondas e Optoeletrônica e 11 CBMag-Congresso Brasileiro de Eletromagnetismo (MOMAG 2014), pp. 643–646ConferenceRead paper

Full list on Google Scholar

Research projects

Research projects

Current and past research projects I coordinate or take part in, with public and academic funders.

  • CoordinatorCompleted

    2026

    Integrated Assessment for Strategic Decision-Making: Impact, Efficiency and Prioritization of the Cisterns in Schools Program Expansion

    Selected under ENAP's Cátedras Program (2025). Assesses the multidimensional impact and efficiency of the Cisterns Program and develops an integrated methodological framework to support strategic decisions on its expansion, using data science, causal inference, efficiency analysis and multicriteria support.

    Funder ENAP — Cátedras Program (Scholarship)
  • Team memberOngoing

    2023 —

    Digitalization, integration and sustainability in supply chains through the Industry 5.0 paradigm: new theories and practices

    International cooperation project. Investigates theories and practices for the digitalization, integration and sustainability of supply chains under the Industry 5.0 paradigm.

    Coord. Rodrigo G. G. Caiado (PUC-Rio)
    Funder CNPq [442384/2023-8] — international cooperation
  • Team memberOngoing

    2023 —

    Development of socio-technical artifacts integrating Circular Economy, Lean and Industry 4.0 Technologies in operations and supply chains: a holistic analysis of pathways towards Agenda 2030

    Integrates Industry 4.0, Lean Management and Circular Economy for sustainable development via multimethod Design Science Research, combining qualitative analysis and quantitative techniques (MCDM, machine learning).

    Coord. Rodrigo G. G. Caiado (PUC-Rio)
    Funder CNPq Universal [405734/2023-9]
  • Team memberOngoing

    2017 —

    National Institute of Science and Technology for Optical Networks and Sensors (INCT)

    Consolidates expertise in sensors, communications and optical information processing, integrating devices and solutions for Brazilian industry.

    Coord. João Crisóstomo W. A. Costa (UFPA)
    Funder CNPq / FAPERJ — INCT
  • Team memberCompleted

    2016 — 2020

    Investigation of waveguides for signal transmission and processing in the optical and terahertz bands

    Physical-mathematical modeling, new materials and optical device prototypes for sensing and signal processing, training human resources in Photonics and Optoelectronics.

    Coord. Maria Aparecida G. Martínez (CEFET/RJ)

Teaching

Courses taught

Teaching across undergraduate, specialization, master's and doctoral programs.

Undergraduate

Bachelor's degree courses

Introduction to R for Data Science

Foundations of the R language for data manipulation, visualization and exploratory data analysis.

Offered in 2025.2

Applied AI Capstone

Integrative project applying artificial intelligence to a real-world problem, from definition through presentation of results.

Offered in 2026.2

Theoretical and Experimental Physics — Fluids, Heat and Oscillations

Fundamentals of fluids, thermodynamics and oscillations for engineering programs, with lab experiments.

Offered in 2022.1

Electricity and Electronics for Audio

Electric circuits and applied electronics for audio systems, combining circuit theory with practice.

Offered in 2021.2

Electric Power Systems Analysis

Analysis of electric power systems, covering power flow, stability and power quality.

Offered in 2022.2

Specialization

MBA and lato sensu programs

Predictive Models

Predictive modeling techniques applied to business problems, from model fitting to rigorous performance evaluation.

Offered in 2025.1, 2026.1

Time Series Analysis

Time series decomposition, forecasting and evaluation with hands-on data science applications.

Offered in 2025.1, 2026.1

Graduate

Master's and PhD courses

Scientific Methodology

Research planning, literature review, methodological design and scholarly communication for master's and doctoral students.

Offered in 2023.1 —

Patents as a Source of Technological Information

Using patent documents to search, analyze and prospect technological information in master's and doctoral research.

Offered in 2026.2