Waste Logistics Simulation for Dismantling Storage Capacity Planning
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Solution Overview
Problem
Existing systems fail to accurately simulate and manage the future physical distribution of waste generated during the dismantling of nuclear power facilities, leading to potential storage capacity shortages and delays in decommissioning processes.
Innovation Solution
A physical distribution simulation system that includes an input unit, calculation unit, and display unit to visualize and calculate the storage and transport of waste over time, using input data to predict the number of containers, storage capacity, and treatment times, enabling a detailed simulation of the waste management process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If waste is stored in the premises during dismantling, then the storage capacity is limited and delays occur, but taking measures in advance requires accurate prediction of future waste generation and storage needs
Solution Approach 1:
The system performs preliminary calculation of future waste generation amounts and storage needs before the actual dismantling process begins. By predicting the waste generation trajectory and required storage capacity in advance, the system enables proactive planning of storage arrangements and transport schedules, preventing delays before they occur.
Solution Approach 2:
The system continuously monitors actual waste generation data and compares it with predicted values, adjusting the simulation model accordingly. This feedback mechanism ensures that the prediction accurately reflects real-time conditions, allowing for dynamic optimization of storage and transport operations to maintain reliability while minimizing time loss.
2Productivity
If the storage capacity of waste is not secured, then delays occur during physical distribution, but calculating future physical distribution requires complex simulation systems
Solution Approach 1:
The simulation system divides the waste management process into distinct segments: waste generation, treatment, storage, and transport. Each segment is modeled separately with its own parameters and constraints, making the overall complex system more manageable and easier to implement while maintaining accurate predictions of the entire physical distribution process.
Solution Approach 2:
The system uses adjustable parameters such as waste generation rates, storage capacity, treatment time, and transport frequency to simulate different scenarios. By changing these parameters, the system can predict how variations in operational conditions affect the physical distribution process, enabling optimization without requiring overly complex modeling.
3Quantity of substance
If waste is transported frequently, then storage capacity is utilized efficiently, but treatment time and transport time must be optimized to prevent delays
Solution Approach 1:
The system dynamically adjusts transport frequency and timing based on predicted waste generation rates and storage capacity. Instead of fixed schedules, the simulation optimizes transport operations in real-time, increasing frequency when storage is nearly full and reducing it when capacity is available, thereby balancing storage utilization with treatment and transport duration.
Data Source
AI summary
The present invention is a physical distribution simulation system including: an input unit that inputs predetermined information regarding waste generated over time in a dismantling step of a structure to be dismantled; a calculation unit that calculates a storage step indicating a storage state of the waste, in a predetermined period from generation of the waste to transport of the waste to an inside of premises or outside of the premises on the basis of the predetermined information; and a display unit that displays a display image visualizing information indicating a change over time of the storage step in the predetermined period.