Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/66680
Título: | Real-time supply chain simulation: a big data-driven approach |
Autor(es): | Vieira, António Amaro Costa Dias, Luis S. Santos, Maribel Yasmina Pereira, Guilherme Oliveira, José A. |
Data: | 2019 |
Editora: | IEEE |
Revista: | Winter Simulation Conference Proceedings |
Resumo(s): | Simulation of Supply Chains comprises huge amounts of data, resulting in numerous entities flowing in the model. These networks are highly dynamic systems, where entities' relationships and other elements evolve with time, paving the way for real-time Supply Chain decision-support tools capable of using real data. In light of this, a solution comprising of a Big Data Warehouse to store relevant data and a simulation model of an automotive plant, are being developed. The purpose of this paper is to address the modelling approach, which allowed the simulation model to automatically adapt to the data stored in a Big Data Warehouse and thus adapt to new scenarios without manual intervention. The main characteristics of the conceived solution were demonstrated, with emphasis to the real-time and the ability to allow the model to load the state of the system from the Big Data Warehouse. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/66680 |
ISBN: | 9781728132839 |
DOI: | 10.1109/WSC40007.2019.9004717 |
ISSN: | 0891-7736 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
2019_WSC.pdf | 798,7 kB | Adobe PDF | Ver/Abrir |