Integration of mechanical, software and electronic systems technologies for vehicle systems了解行业应用
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets了解行业应用
Integration of manufacturing process planning with design and engineering for today’s machine complexity了解行业应用
Insurance & Financial
Visibility, compliance and accountability for insurance and financial industriesExplore Industry
Media & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.Explore Industry
Faster time to market, fewer errors for Software DevelopmentExplore Industry
Small & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.Explore Industry
Siemens Digital Industries Software Manufacturing Simulation
Manufacturing simulation is the use of computer modeling to virtually test manufacturing methods and procedures – including processes such as production, assembly, inventory, and transportation. This greatly reduces the time and costs that physical testing of a manufacturing system would incur.
Simulation software can be used to predict the performance of a planned manufacturing system and to compare solutions for any problems discovered in the system's design. This makes manufacturing simulation a significantly competitive capability - allowing manufacturers to test a range of scenarios before buying tooling, reserving capacity, or coordinating other expensive production resources. By using simulation software to determine exactly what is needed, the manufacturer can avoid problems during production while also reducing scrap and rework.
Design and balancing of assembly lines
Throughput and capacity planning
Production logistics and material flow – including transportation management and facility relocations or additions
Management of inventory levels, replenishment rates, batch sizes, production planning, etc.
Facility layout and resource allocation
Clarity of work instructions and revision management
Programming robotics and automation equipment
Improving build quality and validating alternative raw materials