Tacit knowledge is practical knowledge gained through experience that is difficult to fully express in written procedures, drawings, checklists, or system records. In manufacturing, it often includes judgment, pattern recognition, troubleshooting habits, and context-specific know-how developed by operators, technicians, inspectors, engineers, and maintenance personnel.
Tacit knowledge commonly appears in quality-sensitive operations where formal instructions do not capture every condition seen on the shop floor. Examples include sensing when a process is drifting, recognizing an unusual machine sound, adjusting a setup based on material behavior, or knowing which inspection detail deserves closer attention.
Tacit knowledge is not the same as documented work instructions or controlled records. Those are forms of explicit knowledge. It is also related to, but not identical with, tribal knowledge; tribal knowledge usually refers to undocumented knowledge held within a group, while tacit knowledge emphasizes the experience-based and hard-to-articulate nature of what is known.
In knowledge capture, training, MES, quality, and digital work instruction contexts, tacit knowledge is often converted where practical into standard work, decision guidance, training content, troubleshooting notes, or prompts. Some tacit judgment may remain difficult to document completely, so governance is important to avoid creating informal instructions that conflict with controlled procedures.