Abstract

Blockchain has been applied to quality control in manufacturing, but the problems of false defect detections and lack of data transparency remain. This paper proposes a framework, Blockchain Quality Controller (BCQC), to overcome these limitations while fortifying data security. BCQC utilizes blockchain and Internet-of-Things to form a peer-to-peer supervision network. This paper also proposes a consensus algorithm, Quality Defect Tolerance (QDT), to adopt blockchain for during-production quality control. Simulation results show that BCQC enhances data security and improves defect detections. Although the time taken for the quality control process increases with the number of nodes in blockchain, the application of QDT allows multiple inspections on a workpiece to be consolidated at a faster pace, effectively speeding up the entire quality control process. The BCQC and QDT can improve the quality of parts produced for mass personalization manufacturing.

Highlights

  • In 2008, Satoshi Nakamoto popularized blockchain by introducing a decentralized system that validates transactions without depending on a third party [1]

  • The assembly of a built-to-order desktop computer is used as an example of mass personalization production

  • We proposed an original framework, Blockchain Quality Control for the application of blockchain in a decentralized Cyber-Physical-System-based workpiece quality control system

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Summary

Introduction

In 2008, Satoshi Nakamoto popularized blockchain by introducing a decentralized system that validates transactions without depending on a third party [1]. Blockchain is a growing ledger that records encrypted pools of transaction data into a block. Each block is linked to its previous block, and forming a chain. This growing ledger is immutable by design. Blockchain was originally used in finance-related applications, it has been extended to nonfinance applications, such as internet-of-things (IoT) and healthcare [2]. Its application in manufacturing improves real-time transparency, reduces cost, and assures sustainability [3]

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