Abstract

This study demonstrates the prospects of Blockchain-based Cyber-Physical Systems (CPS) to establish a scalable framework for designing a secured, automated, and traceable modeling in machining processes. Machining operations like turning, being inherently complex, rely on different types of explanatory parameters such as feed rate, depth of cut, cutting speed, tools, and environmental factors. All of these variables significantly influence key response variables like surface quality, tool wear, cutting forces, and energy consumption. The proposed Blockchain-based framework, designed using the Object-Process Methodology (OPM) systems modeling language, enables the reliable exchange of comparative data streams within a unified data analytics platform. By replacing traditional databases with Blockchain-enabled systems, information becomes immutable and readily accessible, which reduces the credibility gap in shared manufacturing environments. The Blockchain-based system can automate decision-making processes by verifying predefined systemic and operational criteria, while ensuring data accuracy and reliability. The inclusion of Artificial Intelligence (AI) and Machine Learning (ML) within the ecosystem empowers system architects and engineers to evaluate design alternatives effectively and make predictions from reliable data. This approach can minimize human error, smooth streamline operations, and enhance process efficiency.

Meeting Name

IISE Annual Conference & Expo 2025

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Blockchain, Machining, Systems Architecting, Artificial Intelligence, Cyber-Physical Systems

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Publication Date

31 May, 2025

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