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1.
A model of simulation environment for prediction and optimisation of production processes
Igor Drstvenšek, Mirko Ficko, Ivo Pahole, Jože Balič, 2004, original scientific article

Abstract: Paper describes means and methods for computer based optimisation of production processes using a new approach based on technological database (TDB) with genetic algorithm incorporated into a database management system (DBMS). The TDB serves as a store of tools and machine tools from which they can be assigned to different work operations. Work operations are basic entities of orders placed into queues. The goal of the model is to find available resources from the TDB in order to empty the queue in shortest time with lowest costs. To this purpose the model consist the technological database whose DBMS includes a genetic algorithm based optimiser. It checks the orders queue and searches for appropriate combinations of tools and machine tools from the TDB, which can be combined into needed work operations. It also performs an optimisation of time and costs according to so called static parameters of tools and machine tools.
Keywords: production processes, simulation, process planning, technological databases, genetic algorithms
Published: 01.06.2012; Views: 1069; Downloads: 63
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2.
Relational database as a cogitative part of an intelligent manufacturing system
Igor Drstvenšek, Mirko Ficko, Jože Balič, 2004, original scientific article

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
Published: 01.06.2012; Views: 1088; Downloads: 61
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