Dynamic shop floor re-scheduling approach inspired by a neuroendocrine regulation mechanism

[EN] With the development of the market globalisation trend and increasing customer orientation, many uncertainties have entered into the manufacturing context. To create an agile response to the emergence of and change in conditions, this article presents a dynamic shop floor re-scheduling approach...

Descripción completa

Detalles Bibliográficos
Autores: Zheng, Kun, Tang, Dunbing, Gu, Wenbin, Wu, Xing, Giret Boggino, Adriana Susana|||0000-0002-2311-0785
Tipo de recurso: artículo
Fecha de publicación:2015
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/151040
Acceso en línea:https://riunet.upv.es/handle/10251/151040
Access Level:acceso abierto
Palabra clave:Dynamic re-scheduling
Neuroendocrine-inspired manufacturing system
Bio-inspired manufacturing cell
Neuroendocrine regulation
Hormone regulation
LENGUAJES Y SISTEMAS INFORMATICOS
Descripción
Sumario:[EN] With the development of the market globalisation trend and increasing customer orientation, many uncertainties have entered into the manufacturing context. To create an agile response to the emergence of and change in conditions, this article presents a dynamic shop floor re-scheduling approach inspired by a neuroendocrine regulation mechanism. The dynamic re-scheduling function is the result of cooperation among several autonomous bio-inspired manufacturing cells with computing power and optimisation capabilities. The dynamic re-scheduling model is designed based on hormone regulation principles to agilely respond to the frequent occurrence of unexpected disturbances at the shop floor level. The cooperation mechanisms of the dynamic re-scheduling model are described in detail, and a test bed is set up to simulate and verify the dynamic re-scheduling approach. The results verify that the proposed method is able to improve the performances and enhance the stability of a manufacturing system