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Title:Relational database as a cogitative part of an intelligent manufacturing system
Authors:Drstvenšek, Igor (Author)
Ficko, Mirko (Author)
Balič, Jože (Author)
Files:URL http://dx.doi.org/10.1016/j.jmatprotec.2004.09.021
 
Language:English
Work type:Unknown ()
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:An intelligent manufacturing system is intended to produce one or more subjects that it is designed for in an optimal way. This means that it has to find a proper production process to produce the subject in an optimal way. The manufacturing system can be called "intelligent" when it is able to find applicable optimisation criteria upon its past experiences thus improving its performance in future. Therefore, an intelligent manufacturing system needs capabilities to store data and make decisions upon them. Such a "brain" can be established by a proper design of a technological database and its database management system (DBMS). Examining all constitutive parameters of a work operation a model of a production process organization can be made, which can serve as a basis for a suitable database design. In addition, an application programme that will check the existence and availability of work operations in the database has to be added to the DBMS. What remains are some optimisation criteria upon which we will choose an operation among suitable and available work operations. This task is fulfilled by a genetic algorithm optimisation technique that would consider work operations' data as parameters of optimisation and on this basis search the optimal one out of the set of available operation.
Keywords:production processes, optimisation, relational database, database management systems, production automation, manufacturing system
Year of publishing:2004
UDC:[004.89+004.6]:621.7.06
ISSN on article:0924-0136
COBISS_ID:9191446 Link is opened in a new window
NUK URN:URN:SI:UM:DK:9QNVORLB
Views:1089
Downloads:61
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Categories:Misc.
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Record is a part of a journal

Title:Journal of materials processing technology
Shortened title:J. mater. process. technol.
Publisher:Elsevier
ISSN:0924-0136
COBISS.SI-ID:30105600 New window

Secondary language

Language:English
Keywords:proizvodni procesi, optimiranje, relacijska baza podatkov, avtomatizacija proizvodnje, proizvodni sistemi


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