Towards Knowledge Management for Smart Manufacturing

Area of Science:

• Manufacturing Engineering
• Knowledge Management Systems
• Digital Transformation

Background:

• Increasing product complexity necessitates digital knowledge capture in manufacturing lifecycles.
• Effective management of data and knowledge is crucial for quality assurance and design improvement.
• Current technical barriers hinder the full utilization of manufacturing knowledge.

Purpose of the Study:

• To propose a knowledge management methodology for smart manufacturing.
• To address the lack of mechanisms for integrating, sharing, and updating domain-specific knowledge.
• To define a framework for accessing, updating, and archiving manufacturing knowledge.

Main Methods:

• Prescribing knowledge management principles for smart manufacturing.
• Developing a methodology for knowledge constructs (design, planning, production, inspection).
• Illustrating knowledge objects through a case study.

Main Results:

• A methodology for managing manufacturing knowledge in smart manufacturing environments.
• Identification of key knowledge aspects including conceptual design, detailed design, process planning, material properties, production, and inspection.
• Example knowledge objects demonstrating practical application.

Conclusions:

• The proposed methodology enables better integration, sharing, and updating of domain-specific knowledge.
• Effective knowledge management is essential for advancing smart manufacturing capabilities.
• The case study provides a foundation for implementing knowledge objects in manufacturing organizations.