18101518. SIMULATION-BASED OPTIMIZATION CONFIGURATOR TO SUPPORT RAPID DECISION-MAKING simplified abstract (Hitachi, Ltd.)
Contents
- 1 SIMULATION-BASED OPTIMIZATION CONFIGURATOR TO SUPPORT RAPID DECISION-MAKING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SIMULATION-BASED OPTIMIZATION CONFIGURATOR TO SUPPORT RAPID DECISION-MAKING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Simulation-Based Optimization Automation
- 1.13 Original Abstract Submitted
SIMULATION-BASED OPTIMIZATION CONFIGURATOR TO SUPPORT RAPID DECISION-MAKING
Organization Name
Inventor(s)
Atsuki Kiuchi of Santa Clara CA (US)
Haiyan Wang of Fremont CA (US)
Chetan Gupta of San Mateo CA (US)
SIMULATION-BASED OPTIMIZATION CONFIGURATOR TO SUPPORT RAPID DECISION-MAKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18101518 titled 'SIMULATION-BASED OPTIMIZATION CONFIGURATOR TO SUPPORT RAPID DECISION-MAKING
Simplified Explanation
The patent application discloses a system to automate simulation-based optimization processes, reducing user development time. It includes an optimization configurator and data structures to create and run optimization templates easily, pairing algorithms with simulators for real-world systems.
- Reduces user development time for simulation-based optimization
- Automation of optimization processes
- Optimization configurator and data structures for easy template creation
- Pairing of optimization algorithms with simulators for real-world systems
- Applicable to various domains and usable by novice users
Key Features and Innovation
- Automation of simulation-based optimization processes - Optimization configurator for easy template creation - Pairing of optimization algorithms with simulators - Reduction of user development time - Applicability to various domains and user levels
Potential Applications
The technology can be applied in various industries such as supply chain management, logistics, manufacturing, and operations research.
Problems Solved
The technology addresses the time-consuming nature of manual simulation-based optimization processes and the need for specialized knowledge to perform optimizations effectively.
Benefits
- Reduced development time - Improved optimization quality - User-friendly interface for novice users - Applicability to different industries
Commercial Applications
The technology can be used in supply chain management software, logistics optimization tools, and operations research platforms to enhance efficiency and decision-making processes.
Prior Art
Readers can explore prior research on simulation-based optimization, automation in optimization processes, and optimization algorithms paired with simulators for real-world systems.
Frequently Updated Research
Stay updated on the latest advancements in simulation-based optimization automation, optimization configurators, and data structures for optimization templates.
Questions about Simulation-Based Optimization Automation
How does the technology automate simulation-based optimization processes?
The technology automates optimization by using an optimization configurator and data structures to pair algorithms with simulators for real-world systems, reducing user development time.
What are the potential applications of this technology in different industries?
This technology can be applied in supply chain management, logistics, manufacturing, and operations research to improve optimization processes and decision-making.
Original Abstract Submitted
Conventional simulation-based optimization, even when automated, requires substantial user-involved development time. Accordingly, embodiments are disclosed to automate various aspects of simulation-based optimization. In particular, an optimization configurator and associated data structures are disclosed for generating and running optimization templates that can be easily constructed (e.g., via lists of available components), revised, evaluated, and re-run as needed. The optimization templates may comprise a plurality of optimization configurations that each define and pair an optimization algorithm with a simulator of a real-world system. Embodiments can reduce development time, are applicable to various domains, can be used by novice users without specialized knowledge, and can improve the overall quality of optimization for the operations of real-world systems, such as supply chains.
