SVOC â FST - ZÃ¡padoÄeskÃ¡ univerzita v Plzni

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Process The process changes inputs to outputs using resources. We split an operation to sub-operations in rough planning eg: vice a part to mounting device or move the box with the material. The big advantage of the Process Designer, are time tables with the MTM codes. You can simply define an operation eg: fixing a part to mounting device and Process Designer automatically calculates according a MTM codes operation times. FINE PLANNING Process Simulate serves to verify of assigned times from Process Designer. Process Simulate is a simulation tool for real simulations such as human motion in the assembly operations. Operations are defined to the sub-tasks such as finger grips for gripping parts, etc. After running the simulation, we have a new (simulated) times of operations. This new times will be compared with times from Process Designer. We can decide which time we will use in project. The Fig.6 shows the difference in the times from Process Designer and Process Simulate. Process Simulate is also used for verifying collisions in automated robotic manufacturing. Simulations of robot motions can help with organizing of workplaces. On Fig.6 the lower picture shows more detailed planning of operations. There you can see a difference in time of first sub-operation. Difference in time is 0.3 seconds compared to rough planning Fig. 6. Rough and Fine Planning ERGONOMIC ANALYSIS We are testing an individual workplace after defining the operations, resources and products. There is a ergonomic tool JACK for this tasks. This tool contains a realistic model of a man with ties to the bones, muscles, joints, etc. You can set a male of human, weight, height. All these proportions affect a human at work. According to the results of each analysis, it is necessary to modify the workplace for the worker. After this we can again simulate a production process in Process Simulate. This cycle is repeated until we achieve the best results. Fig. 7. Ergonomic tool JACK
DISCRETE EVENT SIMULATION The last part of the package of Digital Factory is a simulation tool Plant Simulation for discrete simulations of manufacturing processes. After ergonomic analysis in JACK, we can export a data from Process Designer to Plant Simulation. We can simulate different situations which can occur in production process. We can define cost time, number of scrap, machine failures, etc. and in the report we can see eg costs per period, investment per period number scrap etc. Fig. 8. Discrete event simulation, in Plant simulation 9 CONCLUSION In today's globalized era, Ahead of the competition means a distinct advantage in the market in today's globalized era. Every investment should be very well considered. The biggest advantage of the Digital Factory is that everything happens in the virtual world. It is possible to test numerous scenarios and problems that might arise in real business. When a problem occurs in the virtual model is not difficult to remove it, but in real company are these solutions of any problems very expensive. Another big advantage is the data consistency. We have a data format which can work with all of the tools of the package. The cost of the digital factory is only the cost of time spent preparing the virtual model and the cost of software. Each enterprise must consider whether it is advantageous to him the whole package or just some debris from the instruments. In our example is shown in virtually all life-cycle of the product to distribution of the product (not included here to return the product). Each tool can be used separately. ACKNOWLEDGMENT This paper was created with the subsidy of the project 402/08/H051 under the Grant Academy of the Czech Republic. The name of this project is “Optimization of multidisciplinary design and modelling of virtual firm’s production systems”. REFERENCES [1] TUPA, J.; KAŠPAR, P.; BASL, J. Process Performance Management Application for Technological Process Control. In Proceedings of the 17th International Conference on Flexible Automation and Intelligent Manufacturing. Beijing : Hongde Tongda, 2007. s. 460-467. ISBN 978-1-4276-2092-7 [2] VOTAVA, V. – ULRYCH, Z. – EDL, M. - KORECKÝ, M. – TRKOVSKÝ, V. Analysis and Optimization of Complex Small - Lot Production in New Manufacturing Facilities Based on Discrete Simulation. In: 20th European Modeling & Simulation Symposium (EMSS 2008), Campora San Giovanni, Amantea (CS), Italy, September 17-19, 2008. ISBN 978-88-903724-0-7. [3] Saaty L. T. & Vargas G. L. (2006). Decision making with the analytic network process: economic, political, social and technological applications with benefits, opportunities costs and risks, Springer Science + Business Media, LLC, ISBN 978-0387-33859-0, New York, USA [4] Internal materials and manuals from SIEMNS PLM Software [5] BANKS, J., CARSON, S J., NELSON L B., NICOL, M D. (2005) Discrete-Event System Simulation, Pearson Prentice Hall, New Jersey ISBN 0-13-088702-1 [6] Votava, Václav. Simulace ve strojírenství. 1. vyd. Plzeň : Západočeská <strong>univerzita</strong>, 2008. ISBN 978-80-7043-659-2. [7] ŠIMON, M. and ČERNÝ, Z.(2009): Strategic planning of joint logistics at the level of horizontal cooperation, In Annals of DAAAM for 2009 & Proceedings of the 20th international DAAAM symposium, 2009, str. 657-658, ISBN 978-3-901509-70-4 [8] Internal materials and manuals from SIEMNS PLM Software
Page 1 and 2: PRODUCT LIFE CYCLE IN DIGITAL FACTO
Page 3: DEFINING OF THE PRODUCTION PROCESS

SVOC â FST - ZÃ¡padoÄeskÃ¡ univerzita v Plzni

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