Robot and Handling Simulation

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Cells laid out on paper do not always work in practice, resulting in last minute re-jigging and commissioning delays. The ability of the robot to reach between stations, and to meet required cycle times, often depends on the fine-tuning of the layout and the relative positions of the various elements.

Almost all of our robot system integration contracts thus involve an early phase in which the proposed robot cell and associated processes, are simulated. This means that the layout of the cell and the sequence of operations can be adjusted and optimised in the model before committing to hardware.

Using kinematic simulation software and on-board library of robot geometries and dynamics, cells can be built up on-screen and developed for optimum throughput. This enables choice of robot to be confirmed, giving confidence that all of the requirements of the cell can be satisfied before committing investment. The robot program can also be developed off-line and downloaded to the finished cell, further compressing implementation time. Other equipment can easily be modelled using standard library models or specially drawn entities

Process and Machinery Simulation

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Whether you are planning a new manufacturing facility, perhaps even starting with a green filed site, or you want to improve the efficiency and productivity of an exisiting production process, consider the benefits to be gained by first creating a model of the process in a virtual world. Move machines, increase or reduce the number of your factory floor workers, try different sequences - experiment in all manner of ways to determine the optimum configuration that will maximise your throughput while minimising your costs.

SimX has used its expertise in simulation to help clients to justify major plant investment, involving an analysis of piece-part costs, capital costs, labour needs and floorspace requirements. The simulation facilitates the evaluation of numerous different scenarios, and creates a model with results that can easily be communicated to non-technical, financial decision makers. Models will typically allow the identification of optimum component handling methods, tool management and marshalling strategies, for example. Simulations also enabled various manning models to be tested and piece-part costs to be studied based on energy costs, tooling costs, labour costs, etc.

API

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