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Suchanek P.,Silesian University in Opava | Bucki R.,Institute of Management and Information Technology in Bielsko Biala | Marecki F.,Academy of Business | Litavcova E.,University of Presov
International Journal of Mathematics and Computers in Simulation | Year: 2014

The paper highlights the problem of mathematical modelling of the manufacturing centre. The case which is thoroughly analysed in the paper is based on the production centre consisting of machines which carry out dedicated operations on defined objects. A logistic modelling problem of the production centre is described in detail. The goal is formulated in the criterion form and means the need to minimize the order making time. Heuristic optimisation plays the vital role aiming at finding the optimal solution to the specified task. The method shown hereby emphasises the state of the decision process, the value of the state, functions of generating states and heuristic algorithms for generating trajectories of states. Heuristic algorithms are introduced: the heuristic of preference of machines, the heuristic of preference of objects and the evolutional heuristic. The way of mathematical modelling presented in the paper forms the basis for building a computer simulator of the manufacturing logistic system. Source


Bucki R.,Institute of Management and Information Technology in Bielsko Biala | Chramcov B.,Tomas Bata University in Zlin | Suchanek P.,Silesian University in Opava
Journal of Universal Computer Science | Year: 2015

The paper highlights the problem of minimizing economic costs of making orders in the automated manufacturing system which consists of work centres arranged in a series. Each of them is equipped with tools which carry out defined manufacturing operations. Tools are replaced with new ones only when no manufacturing operation can be performed any more in order to minimize the residual pass. The equations of state of the production line are presented and heuristic control strategies are discussed in detail. The criterion is to minimize the number of replacement procedures which results in maximizing the use of tools in work centres. To prove the correctness of the presented approach the paper is supported with an extended simulation study based on implementing available combinations of either manufacturing or replacement strategies taking into account various configurations which come into being in the real manufacturing environment. The simulation results form the basis for the detailed analysis to meet the requirements of the applicable decision-making procedures. © J.UCS. Source


Chramcov B.,Tomas Bata University in Zlin | Bucki R.,Institute of Management and Information Technology in Bielsko Biala | Marusza S.,Institute of Management and Information Technology in Bielsko Biala
Advances in Intelligent Systems and Computing | Year: 2013

The article highlights the problem of mathematical modelling and subsequent simulation of the highly complex synthetic environment illustrating the real production system consisting of parallel manufacturing plants equipped with interoperation buffer stores. The system can be arranged optionally by means of the simulator which was created on the basis of the presented assumptions in the C# programming language. The discussed system realizes orders set by defined customers. Production control is based on heuristic algorithms which choose an order to be realized and a manufacturing plant in which the production process is carried out. The criterion is to minimize the total time of realizing orders however, as seen in the case study, also either the remaining capacity of tools after realizing all orders or the total tool replacement time can be taken into account while dealing with the problem. The modelling and projecting stages are followed by the simulation study. This simulation study is realized for the specific list of orders. It all leads to the thorough analysis of the obtained results which are later compared with the results obtained for the system without interoperation buffer stores. © Springer International Publishing Switzerland 2013. Source

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