Understanding Data-Driven Cyber-Physical-Social System (D-CPSS) Using a 7C Framework in Social Manufacturing Context

Area of Science:

• Manufacturing Engineering
• Systems Engineering
• Information Science

Background:

• Smart manufacturing trends include socialization, personalization, and servitization.
• Current cyber-physical systems (CPS) lack social space integration.
• Social manufacturing requires a cyber-physical-social system (CPSS) approach.

Purpose of the Study:

• To address the lack of systematic investigation on integrating CPSS with a data-driven view in social manufacturing.
• To propose a novel framework for data-driven CPSS (D-CPSS) in social manufacturing.
• To illustrate the D-CPSS framework using the data-information-knowledge-wisdom (DIKW) pyramid.

Main Methods:

• Development of a seven-layered framework for D-CPSS.
• Integration of the DIKW pyramid to link cyber, physical, and social spaces.
• Illustration of the framework with an example and discussion of implementation.

Main Results:

• A comprehensive seven-layered D-CPSS framework is proposed.
• The framework effectively integrates social manufacturing with data-driven principles.
• The DIKW pyramid provides a structure for data utilization across tri-space.

Conclusions:

• The proposed D-CPSS framework addresses the need for social space integration in smart manufacturing.
• This data-driven approach enhances the capabilities of CPSS in social manufacturing environments.
• Future research should focus on the practical implementation and validation of the D-CPSS framework.