Container Supply Chain Simulation With Adaptive Fuzzy Double Feedback
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Solution Overview
Problem
Container logistics supply chain simulations face challenges in accuracy and reliability due to limitations in data input and environmental considerations, as well as complex system modeling, which affects their ability to effectively simulate and optimize operations amidst adverse events.
Innovation Solution
A resilience-enhanced simulation method based on adaptive fuzzy double feedback is introduced, incorporating a container logistics supply chain system with a pretreatment and handling subsystem, utilizing a two-dimensional resilience index and adaptive fuzzy control to optimize container port operations and reduce the impact of adverse events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional simulation models are used for container logistics supply chain, then the system can provide theoretical and virtual outcomes, but the accuracy and reliability are limited due to lack of real-world operation experience and environmental consideration
Solution Approach 1:
The patent implements a feedback mechanism where real-world operation data from the container logistics supply chain is continuously collected and used to update and refine the simulation model parameters. This closed-loop feedback system allows the simulation to learn from actual operations, progressively improving both reliability and accuracy over time by incorporating real-world experiences into the virtual model.
Solution Approach 2:
The patent dynamically adjusts simulation parameters based on real-world operational data and environmental conditions. By changing parameters such as container arrival rates, port processing capacities, and shipment delays according to actual observed values, the simulation model adapts to reflect current real-world conditions, thereby enhancing both reliability and measurement precision.
2Reliability
If complex system modeling is applied to improve simulation thoroughness, then multidisciplinary integration is achieved, but the modeling and parameter setting become significant barriers to progress
Solution Approach 1:
The patent divides the complex container logistics supply chain simulation model into distinct modular components, including container arrival modules, port processing modules, shipment modules, and environmental factor modules. Each module can be independently developed, validated, and adjusted, reducing the overall modeling complexity while maintaining comprehensive simulation capabilities through the integration of these standardized modules.
3Reliability
If simulation technology is used to predict and evaluate system performance under various circumstances, then risks and expenses of genuine systems are avoided, but the simulation can only produce theoretical outcomes without real-world validation
Solution Approach 1:
The patent uses the simulation model to perform preliminary assessments of supply chain performance under various hypothetical adverse scenarios before implementing changes in the real system. By evaluating different contingency plans and operational strategies in the virtual environment first, the system identifies optimal solutions that can then be validated and refined through controlled real-world experiments, bridging the gap between theoretical predictions and actual performance.
Data Source
AI summary
The present invention discloses a resilience-enhanced simulation method for container logistics supply chain based on adaptive fuzzy double feedback, specific steps comprising: applying a container logistics supply chain system to simulate the impact of adverse events; Designing a two-dimensional resilience index to measure the overall resilience of the container logistics supply chain system; Based on this simulation system, an adaptive fuzzy dual feedback control structure is established and a resilience enhanced method is proposed, so that the output of unfinished container operations affected by adverse events converge to zero quickly. By simulating the supply chain system under step demand, the effectiveness of the resilience enhanced control method of container logistics supply chain is verified. The results show that the method of the present invention significantly weakens the output response oscillation of the container logistics supply chain system, reduces the response time and enhances the system resilience.