A Flow Shop Scheduling Method Based on Dual BP Neural Networks with Multi-Layer Topology Feature Parameters

Nowadays, the focus of flow shops is the adoption of customized demand in the context of service-oriented manufacturing. Since production tasks are often characterized by multi-variety, low volume, and a short lead time, it becomes an indispensable factor to include supporting logistics in practical...

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Principais autores:	Hui Mu, Zinuo Wang, Jiaqi Chen, Guoqiang Zhang, Shaocun Wang, Fuqiang Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-09-01
coleção:	Systems
Assuntos:	flow shop scheduling dual BP neural network transport times operation task–logistics–resource supernetwork
Acesso em linha:	https://www.mdpi.com/2079-8954/12/9/339
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