Publications

Further information can be found in: Google Scholar; Scopus ID; WoS ID; Ciência ID; ORCID.

Operations Research & Management Science

1. A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations

M. Reis, J.N.C. Gonçalves, P. Cortez, M.S. Carvalho, J. M. Fernandes

Computers in Industry, 165:104233, 2025

2. A decision support system based on a multivariate supervised regression strategy for estimating supply lead times

J. Barros, J.N.C. Gonçalves, P. Cortez, M.S. Carvalho

Engineering Applications of Artificial Intelligence, 125:106671, 2023

3. A hybrid bi-objective optimization approach for joint determination of safety stock and safety time buffers in multi-item single-stage industrial supply chains

P. Silva, J.N.C. Gonçalves, T. Martins, L. Marques, M. Oliveira, M. Reis, L. Araújo, D. Correia, J. Telhada, L. Costa, J.M. Fernandes

Computers and Industrial Engineering, 168:108095, 2022

4. A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain

J.N.C. Gonçalves, P. Cortez, M.S. Carvalho, N. Frazão

Decision Support Systems, 142:113452, 2021

5. k-means clustering combined with principal component analysis for material profiling in automotive supply chains

J.N.C. Gonçalves, P. Cortez, M.S. Carvalho

European Journal of Industrial Engineering, 15(2):273-294, 2021

6. Advancing logistics 4.0 with the implementation of a Big Data Warehouse: a demonstration case at the automotive industry

N. Silva, J. Barros, M. Y. Santos, C. Costa, P. Cortez, M. Carvalho, J.N.C. Gonçalves

Electronics, 10(18):2221, 2021 (Special Issue Big Data and Artificial Intelligence for Industry 4.0) 

7. Operations research models and methods for safety stock determination: A review

J.N.C. Gonçalves, M.S. Carvalho, P. Cortez

Operations Research Perspectives, 7:100164, 2020

Conference Proceedings

1. A decision support system to define new inventory management policies in companies transitioning towards data-driven decision-making

S. Sá, M.S. Carvalho, J.N.C. Gonçalves

Procedia Computer Science, 263, 25-33, 2025

Book chapters

1. Improving inventory management in an automotive supply chain: A multi-objective optimization approach using a genetic algorithm
   J.N.C. Gonçalves, M.S. Carvalho, L. Costa
   In: Alves M., Almeida J., Oliveira J., Pinto A. (eds.) Operational Research, IO 2018, Springer Proceedings in Mathematics & Statistics, 278:143-157. Springer, Cham, 2019.
   ISBN: 978-3-030-10730-7

Optimal Control 

During my M.Sc. studies, I worked on optimal control theory for modeling epidemiological dynamical systems. The list of my work in this context is presented below:

1. Optimal control measures for a susceptible-carrier-infectious-recovered-susceptible malware propagation model

J.N.C. Gonçalves, H.S. Rodrigues, M.T.T. Monteiro

Optimal Control Applications and Methods, 40(4):691–702, 2019

2. On the dynamics of a viral marketing model with optimal control using indirect and direct methods

J.N.C. Gonçalves, H.S. Rodrigues, M.T.T. Monteiro

Statistics, Optimization & Information Computing, 6(4):633–644, 2018

3. Preventing computer virus prevalence using epidemiological modeling and optimal control

J.N.C. Gonçalves, H.S. Rodrigues, M.T.T. Monteiro

Discontinuity, Nonlinearity and Complexity, 9(2):187–197, 2020 (accepted in 2018)

Book chapters

1. Optimal control strategies for an advertisement viral diffusion

J.N.C. Gonçalves, H.S. Rodrigues, M.T.T. Monteiro

In: Vaz A., Almeida J., Oliveira J., Pinto A. (eds.) Operational Research, IO 2017, Springer Proceedings in Mathematics & Statistics, 223:135-149. Springer, Cham, 2018.

ISBN: 978-3-319-71582-7

2. A contribution of dynamical systems theory and epidemiological modeling to a viral marketing campaign

J.N.C. Gonçalves, H.S. Rodrigues, M.T.T. Monteiro

In: A. Madureira, A. Abraham, D. Gamboa and P. Novais (eds.) Intelligent Systems Design and Applications, ISDA 2016, Advances in Intelligent Systems and Computing, 557:974-983. Springer, Cham, 2017.

ISBN: 978-3-319-53479-4