20.500.12556/DKUM-91239 Comparative analysis of human and artificial intelligence planning in production processes Artificial intelligence (AI) has found applications in enterprises′ production planning processes. However, a critical question remains: could AI replace human planners? We conducted a comparative analysis to evaluate the main task of planners in an intermittent process: planning the duration of production orders. Specifically, we analysed the results of a human planner using master data and those of an AI algorithm compared to the actual realisation. The case study was conducted in a large production company using a sample of production products and machines. We were able to confirm two of the three research questions (RQ1 and RQ3), while the results of the third question (RQ2) did not meet our expectations. The AI algorithms demonstrated significant improvement with each iteration. Despite this progress, it is still difficult to determine the exact threshold at which AI outperforms human planners due to the unpredictability of unexpected events. Even though AI significantly improves prediction accuracy, the inherent variability and incomplete input data pose a major challenge. As progress is made, robust data collection and management strategies need to be integrated to bridge the gap between the potential of AI and its practical application, fostering the symbiosis between human expertise and AI capabilities in production planning. artificial intelligence machine learning production processes production planning production scheduling true true true Angleški jezik Angleški jezik Članek v reviji 2024-12-04 09:14:45 2024-12-04 10:42:29 2024-12-05 03:10:34 0000-00-00 00:00:00 2024 0 0 23 str. iss. 10, [article no.] 2300 Vol. 12 2024 0000-00-00 Zaloznikova Objavljeno apc 2024-09-13 2024-10-18 2024-10-21 658.5 212367363 10.3390/pr12102300 processes-12-02300.pdf processes-12-02300.pdf 1 85CDF0D55CA93CED3A531CB731B01FED 7046a2ba85d9e55ea28aceb9d1cc535288761491240240501d89f7632fb30a0d 913ae126-b219-11ef-8359-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187072 https://www.mdpi.com/2227-9717/12/10/2300 1 4ab6c561-b21a-11ef-8359-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187076 Fakulteta za organizacijske vede 0 0 0