Performance Analysis of End to end Tracking and counterfeit Medicine detection
Implementation Plan:
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Step 1: We implement Demand Forecasting and decision making by defining Gated Recurrent Unit with Genetic Algorithm and Shallow Neural Network (GRU-GA-SNN) contract.
Step 2: Next we implement End to End Traceability using Drug Regulatory Authority with Proof of Authority (DRA-PoA) Mechanism.
Step 3: Next we manage the inventory products by implementing the R,s,S policy with Whale Optimization.
Step 4: Then, we develop smart contracts for secure drug data management.
Step 5: Next, we Implement Vehicle Routing Problem with the Time Window and Dijkstra Algorithm to transport data securely.
Step 6: Then, we define contracts for each entity such as Raw Material Producer, Manufacturer, Retailer, Distributor, Pharmacist, and Customer.
Step 7: At last we deploy each contract on Remix IDE.
Step 8: Finally we plot graph for the following:
8.1: Demand Qualities Vs Time
8.2: Inventory level Vs Time
8.3: Number of nodes Vs Transaction Delay
8.4: Number of node Vs Throughput
8.5: Product Vs Authentication time (ms)
8.6: Number of Suppliers Vs time
8.7: Number of Customers Vs time (second)
Software Requirements:
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1) Development tool: Remix IDE version 0.39
2) Os: Windows 10 [64-bits]
Note:
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1) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.
2) Please note that this implementation plan does not include any further steps after it is put into implementation.
We perform the EXISTING process based on the Reference 4: Title: A robust drug recall supply chain management system using hyperledger blockchain ecosystem
