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The manufacturing optimization model allows the customer to carry out their own experiments, playing with parameters and layout, changing input data, etc. The proposed solutions provided Centrotherm Photovoltaics AG with the opportunity to significantly improve the production line design and choose the best solution in terms of manufacturing optimization: throughput, reliability, and scrap rate at a low cost.Īdditionally, at the end of the project, the model was released to the client so that it could be used for analysis of future change in the factory. Some of the proposed layout variants were rejected during this stage due to their poor performance.įinally, they tested the resulting few manufacturing optimization solutions manually to investigate the benefits and drawbacks of each one, and to find out how they could be further improved. Then the consultants worked to optimize transportation policies, buffer zone allocation, and watermark control processes. They tested many parameters including those concerning manufacturing capacity and the number of various pieces of equipment, cassettes, bins, etc., to see which configurations would work best in terms of throughput, reliability, and scrap rate. Each simulation run reproduced one year of factory operation.įirst, the consultants experimented with the overall production line design, using parameter variation and optimization. The input data, that included layout configurations and various parameters, was taken directly from Excel and Access files. The consultants tested many parameters to find the best solutions. Once the manufacturing optimization model was built, the experimentation phase of the project began. In the Centrotherm project, this solution helped modelers quickly reproduce various aspects of the client’s manufacturing system behavior with simulation. These libraries featured elements built on top of the AnyLogic model development environment and allowed the consultants to easily model different kinds of equipment, material handling systems inside factories, personnel, and production control systems, all specific to the photovoltaic and semiconductor industries. Using AnyLogic Professional’s ability to create and save custom object libraries, the consultants encapsulated their vast simulation experience in the photovoltaic and semiconductor manufacturing industries and created their own libraries, which they reused in many manufacturing optimization projects, including this one.
#Run supply and demand into anylogic software#
The ACP-IT consultants used AnyLogic simulation software to evaluate the manufacturing optimization possibilities.
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However, soon after the area was settled, misperceptions caused by fear and hatred fueled a large extermination effort of the wolves.
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Wolves once flourished in Yellowstone and its surrounding areas. But what would happen if that species were removed? What ripple effects would be caused by the absence of this species? We can examine these questions by looking at the wolf population in Yellowstone National Park. Keystone species are defined as a plant or animal that plays a unique role in the way the ecosystem functions.