Plant Simulation对生产系统和物流过程执行建模、仿真、可视化和分析，从工厂规划的各个层面（从全球生产设施到当地工厂再到特定生产线）对原料周转、资源利用和物流进行优化。
在面向对象的3D仿真环境中建模
运用强大的对象导向型架构和建模功能，创建结构优良的生产设施、生产线和运营的三维分层模型，快速高效地执行离散和连续制造工艺建模。
运用随附的库或外部CAD数据进行三维构建和可视化。充分利用JT数据格式执行三维建模，采用西门子直接模型技术，高效加载大型三维仿真模型并进行真实可视化，不以牺牲仿真和分析需求为代价。
从继承和层次结构中受益
鉴于封装、继承和层次结构的架构优势，处理、了解和维护复杂细化仿真的效果远胜过传统仿真工具。
使用各个层次结构模型的对象和模型中的对象执行建模。为所有用户维护存储在库中的项目，相关更改会自动应用于这些项目的全部实例，无论其应用在何处。这些库项目可在特定仿真中按需轻松配置。
充分利用开放性和集成功能
充分利用开放式系统架构来支持多接口和集成功能，包括ActiveX、C、CAD、COM、JSON、MQTT、ODBC、OPCClassic、OPCUA、Oracle SQL、Socket和XML。
轻松集成其他西门子软件应用程序，例如NX Line Designer、Teamcenter、Simcenter HEEDS、Opcenter APS、TIA Portal、PLCSIM Advanced和SIMIT。
自由分析和试验
灵活应用诸多内置工具和图形输出来评估生产系统的性能，包括自动瓶颈检测、生产量分析、机器/资源/缓冲利用、能耗、成本分析、桑基图和甘特图。
运用试验管理工具和集成神经网络，通过遗传算法实现全面的试验操作和自动系统优化。
文件大小：1 GB。在日益增加的成本压力、时间压力和持续全球化背景下，物流已成为企业成功的关键因素。低效调度、局部优化替代全局优化、资源分配不当及生产力低下都会导致每日损失。准时制（JIT）/按序生产（JIS）交付要求、看板引入、新生产线规划建设及全球生产网络管理等需求，均需客观决策标准以评估比较不同方案。
Plant Simulation作为离散事件仿真工具，可创建生产类物流系统的数字孪生模型，用以发掘系统特性并优化性能。这些数字模型支持在不干扰现产系统的情况下（或在规划阶段提前于真实系统安装前），进行仿真实验与假设情景推演。通过瓶颈分析、统计和图表等丰富工具评估不同制造方案，为生产规划初期提供快速可靠的智能决策依据。
Plant Simulation可对生产系统及其工艺流程进行建模仿真，实现从全球生产基地到本地工厂乃至具体产线的全层级优化，涵盖物料流、资源利用及物流管理。
核心能力与效益
技术能力
• 具备层次结构的面向对象模型
• 支持多接口的开放式架构
• 库与对象管理
• 优化用遗传算法
• 能耗仿真分析
• 价值流映射与仿真
• 仿真结果自动分析
• 基于HTML的报表生成器
效益优势
• 初始投资最高节约6%
• 现有系统生产率提升20%
• 新系统成本降低20%
• 优化资源消耗和再利用
• 库存减少60%
• 生产周期缩短60%
• 系统优化实现节能
File Size: 1 GBIn times of increasing cost and time pressures in production, along with ongoing globalization, logistics is a key factor in the success of a company. Money can be lost daily through inefficient schedules, local instead of global optimization, inefficient resource allocation, and poor productivity. The need to deliver just-in-time (JIT) or just-in-sequence (JIS), introduce Kanban, plan and build new production lines, and manage global production networks requires objective decision criteria to help management evaluate and compare alternative approaches.
Plant Simulation is a discrete-event simulation tool that helps you to create digital models of logistic systems (such as production), so that you can explore a system’s characteristics and optimize its performance. These digital models allow you to run experiments and what-if scenarios without disturbing existing production systems or – when used in the planning process – long before the real production systems are installed. Extensive analysis tools, such as bottleneck analysis, statistics and charts let you evaluate different manufacturing scenarios. The results provide you with the information needed to make fast, reliable, smarter decisions in the early stages of production planning.
Using Plant Simulation, you can model and simulate production systems and their processes. In addition, 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.
Key Capabilities and Benefits
Capabilities
Object-oriented models with hierarchy and inheritance
Open architecture with multiple interface support
Library and object management
Genetics algorithm for optimization
Energy consumption simulation and analysis
Value stream mapping and simulation
Automatic analysis of simulation results
HTML-based report builder
Benefits
As much as 6 percent savings upon initial investment
Increase existing system productivity by as much as 20 percent
Reduce new system costs by as much as 20 percent
Optimize resource consumption and re-use
Reduce inventories by as much as 60 percent
Reduce throughput time by as much as 60 percent
Optimize systems for reduced energy consumption
