Performance of state space and ARIMA models for consumer retail sales forecasting P Ramos, N Santos, R Rebelo Robotics and computer-integrated manufacturing 34, 151-163, 2015 | 323 | 2015 |
Balancing mixed-model assembly systems in the footwear industry with a variable neighbourhood descent method P Sadeghi, RD Rebelo, JS Ferreira Computers & Industrial Engineering 121, 161-176, 2018 | 36 | 2018 |
Implementing rami4. 0 in production-a multi-case study E Hernández, P Senna, D Silva, R Rebelo, AC Barros, C Toscano Progress in Digital and Physical Manufacturing: Proceedings of ProDPM'19, 49-56, 2020 | 18 | 2020 |
Using variable neighbourhood descent and genetic algorithms for sequencing mixed-model assembly systems in the footwear industry P Sadeghi, RD Rebelo, JS Ferreira Operations Research Perspectives 8, 100193, 2021 | 10 | 2021 |
A tabu search for the permutation flow shop problem with sequence dependent setup times N Santos, R Rebelo, JP Pedroso International Journal of Data Analysis Techniques and Strategies 6 (3), 275-285, 2014 | 10 | 2014 |
An iiot solution for sme’s B Cunha, E Hernández, R Rebelo, C Sousa, F Ferreira APCA International Conference on Automatic Control and Soft Computing, 313-321, 2020 | 8 | 2020 |
Balancing a mixed-model assembly system in the footwear industry P Sadeghi, RD Rebelo, J Soeiro Ferreira Advances in Production Management Systems. The Path to Intelligent …, 2017 | 7 | 2017 |
Exploring the Linkages Between the Internet of Things and Planning and Control Systems in Industrial Applications R Soares, A Marques, R Gomes, L Guardão, E Hernández, R Rebelo International Conference of Progress in Digital and Physical Manufacturing …, 2019 | 1 | 2019 |
Evaluating the Forecasting Accuracy of Pure Time Series Models on Retail Data P Ramos, JM Oliveira, RD Rebelo | 1 | 2016 |
Using variable neighbourhood descent and genetic algorithms for sequencing mixed-model assembly systems in the footwear industry JS Ferreira, P Sadeghi, RD Rebelo | | 2021 |
A tabu search for the permutation flow shop problem with sequence dependent setup times JPP N Santos, R Rebelo | | |
Performance of state space and ARIMA models for consumer retail sales forecasting | | |