41
TÍTULO: Leveraging logistics flows to improve the sludge management process of wastewater treatment plants  Full Text
AUTORES: Alda A Henriques ; Milton Fontes; Ana Camanho ; Gabriel Silva, JG; Pedro Amorim ;
PUBLICAÇÃO: 2020, FONTE: JOURNAL OF CLEANER PRODUCTION, VOLUME: 276
INDEXADO EM: Scopus WOS CrossRef: 5
NO MEU: ORCID
42
TÍTULO: Optimizing Dispatching Rules for Stochastic Job Shop Scheduling
AUTORES: Ferreira, C; Figueira, G ; Amorim, P ;
PUBLICAÇÃO: 2020, FONTE: 18th International Conference on Hybrid Intelligent Systems, HIS 2018 in Advances in Intelligent Systems and Computing, VOLUME: 923
INDEXADO EM: Scopus CrossRef: 4
NO MEU: ORCID
44
TÍTULO: Production scheduling in the context of Industry 4.0: review and trends  Full Text
AUTORES: Manuel Parente; Goncalo Figueira ; Pedro Amorim ; Alexandra Marques ;
PUBLICAÇÃO: 2020, FONTE: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, VOLUME: 58, NÚMERO: 17
INDEXADO EM: Scopus WOS CrossRef: 150
NO MEU: ORCID
45
TÍTULO: Solving the grocery backroom sizing problem  Full Text
AUTORES: Pires, M ; Camanho, A ; Amorim, P ;
PUBLICAÇÃO: 2020, FONTE: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, VOLUME: 58, NÚMERO: 18
INDEXADO EM: Scopus WOS DBLP CrossRef: 12
NO MEU: ORCID
46
TÍTULO: Stochastic multi-depot vehicle routing problem with pickup and delivery: An ILS approach
AUTORES: Rios, BHO; Xavier, EC; Miyazawa, FK; Amorim, P ;
PUBLICAÇÃO: 2020, FONTE: 15th Federated Conference on Computer Science and Information Systems, FedCSIS 2020 in Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
48
TÍTULO: The multi-period vehicle routing problem with refueling decisions: Traveling further to decrease fuel cost?  Full Text
AUTORES: Fabio Neves Moreira ; Mario Amorim Lopes ; Pedro Amorim ;
PUBLICAÇÃO: 2020, FONTE: TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, VOLUME: 133
INDEXADO EM: Scopus WOS CrossRef: 15
NO MEU: ORCID
50
TÍTULO: Trustability in Algorithmic Systems Based on Artificial Intelligence in the Public and Private Sectors
AUTORES: Teixeira, S ; Gama, J ; Amorim, P ; Figueira, G ;
PUBLICAÇÃO: 2020, FONTE: ERCIM NEWS, VOLUME: 2020, NÚMERO: 122
INDEXADO EM: WOS DBLP
NO MEU: ORCID
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