Algoritmi | User | João Nuno Costa Gonçalves
João Nuno Costa Gonçalves
João Nuno Costa Gonçalves
At Algoritmi
Academic Degree
PhD
Current Position
Invited Teaching Assistant at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
jncostagoncalves@gmail.comOrcid
0000-0002-0933-1995Researcher ID
FCT Public Key
J680109bvsq1
Ciência ID
9A1A-FDC4-D122Google Scholar
shorturl.at/yX167h-index
4Publications
11Editorial
0Citations
42Q1 / Q2
5About Me 
João N. C. Gonçalves is a (full-time) Invited Assistant Professor of Applied Data Science at Catholic University of Portugal and Invited Assistant Professor at the Department of Production and Systems of the University of Minho, in the fields of Operations Research and Supply Chain Management. He holds a PhD in Industrial and Systems Engineering (Forecasting and Applied Machine Learning), a MSc in Systems Engineering (Optimal Control Theory) and a BSc in Mathematics, all from the University of Minho, Portugal. João N. C. Gonçalves is a researcher at ALGORITMI R&D Center, University of Minho, within the Supply Chain, Logistics and Transportation Systems (SLOTS) group. His main research interests lie in Machine Learning with intersections with Operations Research.
Publications (13)
A decision support system based on a multivariate supervised regression strategy for estimating supply lead times
Engineering Applications of Artificial Intelligence
2023 | journal-article
A Machine Learning Strategy for Estimating Supply Lead Times Towards Improved Safety Stock Dimensioning
SSRN
2022 | other
A hybrid bi-objective optimization approach for joint determination of safety stock and safety time buffers in multi-item single-stage industrial supply chains
Computers and Industrial Engineering
2022 | journal-article
A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain
Decision Support Systems
2021 | journal-article
Advancing logistics 4.0 with the implementation of a big data warehouse: A demonstration case for the automotive industry
Electronics (Switzerland)
2021 | journal-article
K-means clustering combined with principal component analysis for material profiling in automotive supply chains
European Journal of Industrial Engineering
2021 | journal-article
Operations research models and methods for safety stock determination: A review
Operations Research Perspectives
2020 | journal-article
Preventing Computer Virus Prevalence using EpidemiologicalModeling and Optimal Control
Discontinuity, Nonlinearity, and Complexity
2020 | journal-article
Improving Inventory Management in an Automotive Supply Chain: A Multi-objective Optimization Approach Using a Genetic Algorithm
Springer Proceedings in Mathematics and Statistics
2019 | conference-paper
Optimal control measures for a susceptible-carrier-infectious-recovered-susceptible malware propagation model
Optimal Control Applications and Methods
2019 | journal-article
On the dynamics of a viral marketing model with optimal control using indirect and direct methods
Statistics, Optimization and Information Computing
2018 | journal-article
Optimal control strategies for an advertisement viral diffusion
Springer Proceedings in Mathematics and Statistics
2018 | conference-paper
A contribution of dynamical systems theory and epidemiological modeling to a viral marketing campaign
Advances in Intelligent Systems and Computing
2017 | book
History
| Init | End | Change | Value | |
|---|---|---|---|---|
| Laboratory | SLOTS | |||
| 17/01/2023 20:17 | ||||
| Member Type | Assistant Researcher | |||
| Internal Member Type |
A decision support system based on a multivariate supervised regression strategy for estimating supply lead times
Engineering Applications of Artificial Intelligence
2023 | journal-article
A Machine Learning Strategy for Estimating Supply Lead Times Towards Improved Safety Stock Dimensioning
SSRN
2022 | other
A hybrid bi-objective optimization approach for joint determination of safety stock and safety time buffers in multi-item single-stage industrial supply chains
Computers and Industrial Engineering
2022 | journal-article
A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain
Decision Support Systems
2021 | journal-article
Advancing logistics 4.0 with the implementation of a big data warehouse: A demonstration case for the automotive industry
Electronics (Switzerland)
2021 | journal-article
K-means clustering combined with principal component analysis for material profiling in automotive supply chains
European Journal of Industrial Engineering
2021 | journal-article
Operations research models and methods for safety stock determination: A review
Operations Research Perspectives
2020 | journal-article
Preventing Computer Virus Prevalence using EpidemiologicalModeling and Optimal Control
Discontinuity, Nonlinearity, and Complexity
2020 | journal-article
Improving Inventory Management in an Automotive Supply Chain: A Multi-objective Optimization Approach Using a Genetic Algorithm
Springer Proceedings in Mathematics and Statistics
2019 | conference-paper
Optimal control measures for a susceptible-carrier-infectious-recovered-susceptible malware propagation model
Optimal Control Applications and Methods
2019 | journal-article
On the dynamics of a viral marketing model with optimal control using indirect and direct methods
Statistics, Optimization and Information Computing
2018 | journal-article
Optimal control strategies for an advertisement viral diffusion
Springer Proceedings in Mathematics and Statistics
2018 | conference-paper
A contribution of dynamical systems theory and epidemiological modeling to a viral marketing campaign
Advances in Intelligent Systems and Computing
2017 | book
| Start | End | Term | Value | |
|---|---|---|---|---|
| Laboratory | SLOTS | |||
| 17/01/2023 20:17 | ||||
| Member Type | Assistant Researcher | |||
| Internal Member Type |
