Plant Simulation enables the modeling and simulating of production systems and processes. Using Plant Simulation, you can optimize material flow, resource utilization and logistics for all levels of plant planning from global production facilities, through local plants, to specific lines. Plant Simulation allows the creation of computer models of logistic systems (e.g., production) to explore system characteristics and optimize performance. The computer model enables users to run experiments and what-if scenarios without disturbing an existing production system or - when used in the planning process - long before the real system is installed.
Extensive analysis tools, statistics and charts let users evaluate different manufacturing scenarios and make fast, reliable decisions in the early stages of production planning.
Plant Simulation helps users:
* Detect and eliminate problems that otherwise would require cost- and time-consuming correction measures during production ramp-up
* Minimize the investment cost for production lines without jeopardizing required output
* Optimize the performance of existing production systems by implementing measures that have been verified in a simulation environment prior to implementation
Features:
* Simulation of complex production systems and control strategies
* Object-oriented, hierarchical models of plants, encompassing business, logistic and production processes
* Dedicated application object libraries for fast and efficient modeling of typical scenarios
* Graphs and charts for analysis of throughput, resources and bottlenecks
* Comprehensive analysis tools, including Automatic Bottleneck Analyzer, Sankey diagrams and Gantt charts
* 3D online visualization and animation
* Integrated neural networks and experiment handling
* Genetic algorithms for automated optimization of system parameters
* Open system architecture supporting multiple interfaces and integration capacities (ActiveX, CAD, Oracle, SQL, ODBC, XML, etc.)
Benefits:
* Enhance productivity of existing production facilities by as much as 15-20%
* Reduce investment in planning new production facilities up to 20%
* Cut inventory and throughput time by 20-60%
* Optimize system dimensions, including buffer sizes
* Reduce investment risks by early proof of concept
* Maximize use of manufacturing resources
* Improve line design and schedule
Final Info from Kalayaan:
1.) unpack the files
2.) burn or mount the image
3.) install
4.) Check SHooTERS Dir.
Download Full
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