Algoritmi | User | João Nuno Costa Gonçalves
João Nuno Costa Gonçalves
João Nuno Costa Gonçalves
At LASI
Other with MSc
Member of the CALG R&D Unit
Academic Degree
MSc
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
Google Scholar
About Me 
João Nuno Gonçalves is a full-time Invited Assistant Professor in Data Science at Universidade Católica Portuguesa (UCP) and Researcher at CEGE - Research Centre in Management and Economics, Católica Porto Business School. He holds a PhD in Industrial and Systems Engineering (Business Analytics) from University of Minho and his research focus is on the development of business analytics models to improve supply chain management (SCM). In this context, inventory risk management and supply/demand forecasting are among his main areas of interest. João Nuno Gonçalves is the Coordinator of the BSc in Applied Data Science and member of the board of directors of the Institute of Computing and Data Science at UCP. His research work has been recognized with distinctions/prizes in the context of Operations Research and Supply Chain Management (OR&SCM), including the Logistics Excellence Award Academy 2022, awarded by the Portuguese Logistics Association (APLOG). During his teaching career, he has been distinguished (by 6 times) with pedagogical merit awards/distinctions as a lecturer in the areas of OR&SCM. In 2022, 2023 and 2024 he received the Diploma of Pedagogical Merit by the School of Engineering of University of Minho.
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
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
