Challenges in Implementing Human-Centered AI for Time Data Management in Industry

Paper i proceeding, 2027

Accurate time data are critical for industrial process planning but are often produced through manual, expertise-dependent practices. This paper investigates challenges associated with implementing human-centered artificial intelligence (HCAI) to support Time Data Management (TDM) during process planning for manual assembly. A qualitative multi-case study was conducted at three industrial companies with differing production contexts and digital maturity. The results show that TDM is characterized by late validation, fragmented system support, and a strong reliance on human judgment. While HCAI can enhance efficiency and transparency, significant human, organizational, and data-related challenges remain. The study identifies conditions under which HCAI can responsibly support industrial TDM and at what system levels these can be found.