Multiple Channel with Crash Fault Tolerant Consensus Blockchain Network: A Case Study of Vegetables Supplier Supply Chain

Blockchain has become one of important technologies because of its capabilities such as transparency and privacy. Many enterprises see these capabilities as a breakthrough to many cases, such as supply chain. This paper discusses a case of a vegetables supplier's problems in term of ledger. Generally, the company need one day to finish the ledger and sometimes there are some information distortion between supplier and client. This paper use hyperledger fabric to build blockchain network that is compatible with the supplier problems. The Blockchain network created with nine channels and crash fault tolerant by using kafka. This blockchain network is tested with two iterations which each iteration consists of 40 rounds and each round contains 3000 transactions. The first iteration throughput average is 27.9 tps with the highest throughput is in round 1 with a throughput of 34.1 tps and the lowest is in round 37 with a throughput of 25.3 tps. The second iteration throughput average is 28.1 tps with the highest throughput is in round 1 with a throughput of 32.8 tps and the lowest is in round 40 with a throughput of 21.3 tps. This performance indicates that multiple channel blockchain network could help the vegetables supplier to improve their ledger capabilities to be less than one day.