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A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing

Authors :
Mauro Isaja
Phu Nguyen
Arda Goknil
Sagar Sen
Erik Johannes Husom
Simeon Tverdal
Abhilash Anand
Yunman Jiang
Karl John Pedersen
Per Myrseth
Jørgen Stang
Harris Niavis
Simon Pfeifhofer
Patrick Lamplmair
Source :
Computers in industry
Publication Year :
2023
Publisher :
Zenodo, 2023.

Abstract

There is a current wave of a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure quality in smart factories. Such digital solutions heavily depend on quality-related information within the supply chain business ecosystem to drive zero-waste value chains. To empower zero-waste value chain strategies with meaningful, reliable, and trustful data, there must be a solution for end-to-end industrial data traceability, trust, and security across multiple process chains or even inter-organizational supply chains. In this paper, we first present Product, Process, and Data quality services to drive zero-waste value chain strategies. Following this, we present the Trusted Framework (TF), which is a key enabler for the secure and effective sharing of quality-related information within the supply chain business ecosystem, and thus for quality optimization actions towards zero-defect manufacturing. The TF specification includes the data model and format of the Process/Product/Data (PPD) Quality Hallmark, the OpenAPI exposed to factory system and a comprehensive Identity Management layer, for secure horizontal- and vertical quality data integration. The PPD hallmark and the TF already address some of the industrial needs to have a trusted approach to share quality data between the different stakeholders of the production chain to empower zero-waste value chain strategies.

Details

Database :
OpenAIRE
Journal :
Computers in industry
Accession number :
edsair.doi.dedup.....6f9fbd66d4c3c39af5b3d3bb9640bd4c
Full Text :
https://doi.org/10.5281/zenodo.8151813