Simio是仿真领域学术领袖Dennis Pegden博士创造的，独特的多方法论的系统模拟仿真软件/高级计划调度软件。 她提供了快速和灵活的模拟能力，无需编程，就能够同时支持离散系统、连续系统和基于智能主体(Agent-Based)的大规模行业应用。
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Description
The development team behind Simio introduced their first commercially available Discrete Event Simulation product over 46 years ago. For five decades, this team has remained at the forefront of innovation, continuously advancing the science and art of Discrete Event Simulation. In 2009, Simio released a comprehensive, agile simulation platform that represents an evolutionary fourth-generation design — built from the ground up to be fully object-oriented, data-generated, data-driven, and highly adaptive — critical innovations for overcoming hurdles that hampered previous generations. Fast-forward to today, the Simio development team continues to build on this original architecture, advancing Simio’s capabilities. Time-tested and proven, the Simio Discrete Event Simulation Platform is fast, scalable, adaptive, and adept at fully utilizing enterprise data while seamlessly integrating with operational environments. Simio is taught in hundreds of universities, trusted by thousands of users, and deployed across a broad range of industries worldwide, including manufacturing, warehousing, logistics, supply chain, healthcare, mining, energy, transportation, foodservice, and consumer services.
Intelligent
Combining Discrete Event Simulation and AI creates a powerful synergy, resulting in Simio Process Digital Twins with unparalleled intelligence, capable of generating highly optimized solutions to complex operational problems with lightning-fast efficiency.
Adaptive
Simio Process Digital Twins have the ability to automatically adapt to changes in enterprise data such as process-related resources, materials, properties and attributes, product routings, network changes, bill of materials, labor requirements and schedules, maintenance schedules, and product mix.
Process
Business processes across a wide range of industries can be modeled with a Simio Process Digital Twin, including detailed manufacturing operations within single facilities and across multiple sites, warehouse operations, and complex end-to-end supply chains.
Digital Twin
Simio Process Digital Twins are object-oriented, data-generated, and data-driven Discrete Event Simulation models that accurately replicate the physical behavior of operational processes for systems of any size and complexity. Simio Process Digital Twins enable users to design, optimize, predict, and prescribe current and future system performance.
System Requirements
OS:Microsoft® Windows 10/11 64-bit
CPU:Intel Core i7 or i9 6+ cores 3.0+ GHz with Turbo Boost
RAM:32 or 64GB
Space:512GB or 1TB NVMe
Support Software:Microsoft Excel SQL Server Express
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