ENHANCING QUALITY IN KNOWLEDGE-BASED ORGANIZATIONS THROUGH THE IMPLEMENTATION OF COLLABORATIVE ROBOTS INTO NONCONVENTIONAL TECHNOLOGIES IN AUTOMOTIVE

Abstract

Quality is crucial for modern organizations and sustainable quality management is key to this. Collaborative robots can help improve the quality of production flows. Currently, mass production flows may involve the use of equipment with nonconventional technologies implemented. The integration of collaborative robots and nonconventional technologies into production processes must be done in a qualitative and knowledge-based way. In this context, knowledge-based management plays an extremely important role in ensuring the success of organizations in the face of competition. It facilitates the learning, transfer, improvement and maintenance of knowledge within the organization, contributing to the provision of high-quality products and services. Collaborative robots have also represented a significant shift in the traditional paradigm of human-robot collaboration, transforming into an nonconventional technology that has helped break down the barrier between these two entities. The scientific paper explores the correlation between the four concepts: quality, collaborative robots, nonconventional technologies and knowledge-based management, to ensure the success of organizations. A parallel can also be found in the scientific work between the knowledge-based organization and the learning organization.

Keywords

• collaborative robot
• knowledge-based organization
• automation
• quality
• automotive