Akademik Veri Yönetim Sistemi
41st Annual Conference on Association of Researchers in Construction Management, ARCOM 2025, Dundee, İngiltere, 1 - 03 Eylül 2025, ss.69-78, (Tam Metin Bildiri)
Scheduling is a complex process that requires information from several sources, coordination between teams, and experience of using various methods and tools. Automated scheduling (AS) may facilitate the process and provide a potential solution for the skills gap experienced in the construction industry. In this paper, we will present initial findings from a funded research project about development of an AI-based AS tool for building projects. As a part of the needs analysis, semi-structured interviews were conducted with 12 construction professionals to identify challenges with the traditional scheduling process, requirements from, and potential concerns about an AI-based AS tool. Unavailability of data, procedural difficulties such as extracting information from several documents and poor communication between different disciplines were highlighted as the current challenges. Major expectations from the tool are primarily about automated analysis of various documents and better coordination of information exchange. Judgemental reasoning required for scheduling tasks and limited explainability of AI raise concerns about the performance of a fully automated tool and decreases trust.