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Rui Rebelo
Rui Rebelo
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Title
Cited by
Cited by
Year
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
2692015
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
312018
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
142020
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
92014
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
72021
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
72020
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
62017
Evaluating the Forecasting Accuracy of Pure Time Series Models on Retail Data
P Ramos, JM Oliveira, RD Rebelo
12016
Using variable neighbourhood descent and genetic algorithms for sequencing mixed-model assembly systems in the footwear industry
JS Ferreira, P Sadeghi, RD Rebelo
2021
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
2019
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
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