Title :
A hybrid framework for supporting scheduling in extended manufacturing environments
Author :
Santos, A.S. ; Madureira, A.M. ; Varela, M.L.R. ; Putnik, G.D. ; Abraham, A.
Author_Institution :
Dept. of Production & Syst., Univ. of Minho, Braga, Portugal
Abstract :
In the current marketplace, enterprises face enormous competitive pressures. Global competition for customers that demand customized products with shorter due dates and the advancement in information technologies, marked the introduction of the Extended Enterprise. In these EMEs (Extended Manufacturing Environments), lean, virtual, networked and distributed enterprises, form MO (Meta-Organizations), which collaborate to respond to the dynamic marketplace. MO members share resources, customers and information. In this paper we present a hybrid framework based on a DKBS (Distributed Knowledge Base System), which includes information about scheduling methods for collaborative enterprises sharing their problems. A core component of this system includes an inference engine as well as two indexes, to help in the classification of the usefulness of the information about the problems and solving methods. A more structured approach for expanding the MO concept is presented, with the HO (Hyper-Organization). The manner in which MO-DSS can communicate, cooperate and share information, in the context of the HO is also detailed.
Keywords :
knowledge based systems; production engineering computing; scheduling; DKBS; EME; collaborative enterprises; distributed knowledge base system; extended enterprise; extended manufacturing environments; global competition; hybrid framework; information technologies; scheduling methods; Decision support systems; Job shop scheduling; Knowledge based systems; Manufacturing; Production facilities; Decision Support System; Distributed Knowledge Base System; Extended Manufacturing Enviroment; Hyper-Organization; Meta-Organization;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2014 14th International Conference on
Print_ISBN :
978-1-4799-7632-4
DOI :
10.1109/HIS.2014.7086200