Plant

Plant, line and process simulation and optimization

Benefits Summary • Enhance productivity of ® enables the simulation and existing production facilities optimization of production systems and processes. Using Plant Simulation, by as much as 15-20 percent you can optimize material flow, resource utilization and logistics for all levels • Reduce investment in of plant planning from global production facilities, through local plants, to planning new production specific lines. facilities up to 20 percent • Cut inventory and throughput time by 20-60 percent • Optimize system dimensions, including buffer sizes • Reduce investment risks by early proof of concept • Maximize use of manufacturing resources • Improve line design and schedule

Features • Simulation of complex production systems and control strategies • Object-oriented, hierarchical models of plants, encompassing business, logistic and production processes In times of increasing cost and time pressures in production, along with • Dedicated application object ongoing globalization, logistics has become a key factor in the success of a libraries for fast and efficient company. The need to deliver JIT (just-in-time)/ JIS (just-in-sequence), modeling of typical scenarios introduce Kanban, plan and build new production lines and manage global • Graphs and charts for production networks (to name a few) requires objective decision criteria to analysis of throughput, help management evaluate and compare alternative approaches. resources and bottlenecks Plant Simulation helps create digital models of logistic systems (e.g., production) to explore the systems’ characteristics and to optimize their performance. The digital 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 tecnomatix

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Plant Simulation

Features continued analysis tools, statistics and charts let order lists, operation plans and control • Comprehensive analysis users evaluate different manufacturing rules. By extending the library with your tools, including Automatic scenarios and make fast, reliable decisions own objects you can capture best-practice Bottleneck Analyzer, Sankey in the early stages of production planning. engineering experiences for further diagrams and Gantt charts simulation studies. • 3D online visualization and Plant Simulation helps users: animation • Detect and eliminate problems that Complex and detailed can be • Integrated neural networks otherwise would require cost- and time- handled, understood and maintained and experiment handling consuming correction measures during much better than in conventional • Genetic algorithms for production rampup simulation tools by using Plant Simulation automated optimization of • Minimize the investment cost of architectural advantages like capsulation, system parameters production lines without jeopardizing inheritance and hierarchy. • Open system architecture required output supporting multiple • Optimize the performance of existing Simulating system performance interfaces and integration production systems by taking measures Plant Simulation simulations are used to capacities (ActiveX, CAD, that have been verified in a simulation optimize throughput, relieve bottlenecks Oracle SQL, ODBC, XML, environment prior to implementation and minimize work-in-process. The Socket, etc.) simulation models take into consideration Modeling manufacturing processes internal and external supply chains, using libraries of standard and production resources and business specialized components processes, allowing you to analyze the Plant Simulation enables you to create impact of different production variations. well-structured, hierarchical models of You can evaluate different line production production facilities, control strategies and verify synchron­ lines and processes. This is achieved ization of lines and sublines. The system through powerful object-oriented lets you define various material flow rules architecture and modeling capabilities that and check their effect on the line’s enable you to create and maintain even performance. Control rules are chosen highly complex systems, including from libraries and may be further detailed advanced control mechanisms. to model highly sophisticated controls.

Plant Simulation’s user interface follows standards, making it easy to get familiar and productive quickly. Simulation models can be created quickly by using components from application object libraries dedicated to specific business processes, such as assembly or carbody manufacturing processes. Users can choose from predefined resources, TECNOMATIX

The Plant Simulation experiment manager Analyzing simulation results 3D visualization allows you to define multiple experiments Plant Simulation analysis tools allow for In addition to the highly efficient 2D view, at one time, providing an efficient way to easy interpretation of simulation results. simulation may be visualized in a virtual, analyze and optimize your system. Based Statistical analysis, graphs and charts reality-like 3D environment. Using Plant on user-defined parameters, Plant display the utilization of buffers, machines Simulation’s libraries or CAD data, Simulation executes different simulation and personnel. You can generate extensive impressive 3D models can be built and runs and provides you with the results of statistics and charts to support dynamic used in several ways, including: these experiments. analysis of performance parameters • Easy-to-understand platform for internal including line workload, breakdowns, idle and external discussions Automatic optimization and repair time and proprietary key • Management presentations Optimization can also be done automat- performance factors. • Customer demonstrations ically by using the Plant Simulation genetic • Trade show displays algorithms module. This is especially At the click of a button, Plant Simulation’s • Brochures, animations and other useful if a variety of system parameters bottleneck analyzer shows the utilization sales tools and constraints make it difficult to find of resources, thus indicating bottlenecks as the optimum. well as underworked machines.

Material flow may be visualized in a Sankey chart that, at a glance, shows transport volume in the context of the layout.

Plant Simulation also generates a Gantt chart of the optimized production plans that can be modified interactively.

Genetic algorithms optimize system parameters while considering multiple constraints such as throughput, inventory, utilization of resources and delivery dates.

These solutions are further evaluated by using simulations to interactively find the optimal solution according to line balance and various lot sizes.

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