Forecasting TRIZ Cases
- Shift Design and Assignment via Linear MIP Transformation
A shift design system transforms labor scheduling constraints into linear forms for mixed integer programming solvers.
- Engine Model Parameter Optimization via Reference Point Segmentation
An optimization method evolves engine model parameters using selection, crossover, and mutation to form a new population.
- Hybrid Genetic and Greedy Algorithm Packing Method
A packing method uses a genetic algorithm to generate candidate programs and a greedy algorithm to recalculate subsets for updated placement.
- ML Aircraft Part Consumption Prediction
Machine learning models predict aircraft part consumption using flight demographics, reducing inventory costs while maintaining spare part availability.
- Fast Loading Model for Logistics Route Optimization
A fast loading model determines actual goods allocation rates using offline trained simulation data.
- Inverse Reinforcement Learning for Water Distribution Optimization
Information processing apparatus generates water distribution plans using inverse reinforcement learning to determine cost functions from reference data.
- Delivery Assist Apparatus Power Data Scheduling
A delivery assist apparatus determines target areas and schedules using facility power data.
- Monte Carlo Simulation Icon Histogram Display
Simulation tool displays scenario data as selectable histogram icons for interactive exploration.
- Virtual Asset Synthesis for Workflow Parameterization
Virtual asset synthesis instances measure effectiveness without increasing system complexity, reducing resource waste.
- Cargo Sensing Mat for Delivery Timing Prediction
Weight sensing mat generates timing models to resolve worker efficiency variability.
- Density Map Generation for Resource Positioning
Machine learning models generate density maps from transaction data to determine optimal resource placement locations.
- Predictive Modeling for Employee Turnover Indexing
Machine learning predictive models aggregate employee metrics to construct turnover indices.
- Holomorphic Embedding for Economic Strategy Equilibrium
A holomorphic embedding method solves equilibrium polynomial equations using arc-length parametrization and homotopy functions.
- Reliability Design Assistance Using Relational Expression for Input Stress
A reliability design assistance device calculates input stress using relational expressions derived from user and environmental factors.
- Drive-Thru Dwell Time Detection Using Range Finding Sensors
Automated range finding sensors calculate vehicle dwell time to alert staff via cloud servers, preventing revenue loss from excessive wait times and drive-offs.
- AR Glasses Navigation via Location Identifiers
Augmented reality glasses overlay turn-by-turn directions to reduce navigation errors and optimize worker flow in fulfillment centers.
- Urban Infrastructure Deployment Optimization via Graph Models
Graph-based modeling reduces computational costs while optimizing accessibility and environmental parameters for urban pathways.
- Work Support Device for Packing Box Size Selection
A work support device generates a three-dimensional support image to display reduced article sizes within a packing box.
- Capacity Model Run-Time Estimator for Transactional Capacity
A capacity model run-time estimator determines transactional capacity using historical data and regression analysis.
- Service Support Network for Automated Incident Handling
An orchestration engine segments incident handling to minimize total annualized costs.
- Data Center Operation Plan Creation Using Hierarchical Optimization
Operation plan creation device calculates handling costs to generate optimized workload execution drafts for data center operators.
- AI Conversion Prediction for User Targeting Accuracy
An AI conversion prediction model analyzes historical user interaction and resource status features to determine communication decisions.
- Production Capacity Estimation for Component Mounting Lines
A production capacity estimation apparatus calculates line output using floor disposition and operator data.
- Forecasting Characteristic Information Change Using Pre-Estimation Model
A pre-estimation model forecasts characteristic information changes using historical and incremental data ratios.
- ML Supplier Risk Prediction for Automotive Manufacturing
ML models analyze internal process parameters and external factors to forecast delivery delays, enabling early mitigation of supply chain disruptions.
- Machine Learning Data Allocation for Limited Training Sets
A data selection method assigns classification identifiers to distribute items across multiple sets for efficient model training and testing.
- Asset Value Models for Digital Twin Maintenance
Asset value models resolve data utilization bottlenecks by correlating energy efficiency with productivity to generate accurate maintenance solutions.
- User Analysis System for Accurate Task Time Estimation
A user analysis system segments players by speed and focus to estimate task completion time.
- Greenhouse Gas Emission Trend Prediction for Plant Decarbonization
Information processing apparatus predicts future greenhouse gas emission trends from sensor data to support plant decarbonization efforts.
- Annealer NP Problem Automation via Template Interfaces
Template-based automation reduces formulation time and improves solution quality for non-expert users solving combinatorial problems.
- Real-Time Charging Network Voltage Determination
A method updates terminal voltages using modified inverted loop impedance matrices for electrical recharging networks.
- Component Type Allocation for Automatic Feeder Optimization
Allocation strategy assigns high-splicing-labor components to automatic feeders, reducing manual handling and improving board production efficiency.
- Simulated Annealing Load Design for Trailer Space Utilization
A computer system uses simulated annealing to generate optimal stack building plans and delivery routes.
- Curable Composition Recipe System for Sidestream Materials
Recipe system determines curable composition formulations from variable sidestream materials to optimize production efficiency and environmental impact.
- Decentralized Nodal Graph Reinforcement Learning for Moving Agents
Decentralized decision-making via a graphical neural network eliminates centralized single points of failure while addressing demand spikes.
- Agricultural Operation Timing Prediction via ML and Geospatial Data
Segmented sensor components and intermediary processing resolve complexity trade-offs to optimize resource allocation and machinery usage timing.
- Nuclear Facility Maintenance Optimization via Bayesian Failure Prediction
A maintenance optimization method calculates net present value using Bayesian synthesis of Weibull failure distributions.
- Recycling Container Emptying Vehicle Routing Control
Control unit optimizes emptying vehicle routes using real-time fill level data to reduce unnecessary collection trips and emissions.
- Package Redelivery System with Dynamic Route Grouping
A computer system groups undelivered packages by address to generate optimized delivery maps for workers.
- Multi-Objective Evolutionary Algorithm Archive Management
Multi-objective evolutionary algorithms partition objectives into subsets to prevent archive explosion and reduce computational resource requirements.
- Land Use Planning Using Heterogeneous Temporal Data
A system summarizes heterogeneous temporal data into machine-processable representations for land use planning.
- Interactive Analytics System for IT Network Data Management
Dynamic widget placement and automated query processing manage large IT network datasets, reducing analysis complexity while improving reporting versatility.