Despite the construction industry making up a large portion of the global economy, it struggles withlow productivity and limited growth, notably marked by a lack of digitization and automation.Research in construction has highlighted artificial intelligence (AI) as a potential solution, butimplementation is complicated by the need for extensive data collection and challenges associatedwith construction sites. Several studies have explored various aspects of AI in the construction industry, but not with a focuson the needs of site management. This thesis aims to study site management's decision-making toidentify their data and information needs in their daily operations. A case study was conducted attwo construction companies, one smaller and one larger, focusing on site management's decisionmaking during the implementation phase. Semi-structured interviews and observations were used tocollect data, which was then contextualized within the literature to understand site management'sdecision-making and thereby identify the needs for data and information. The results show that site management regularly faces situations in their daily operations wherethey need to make decisions for the project's progress, often quick decisions. In these decisionmaking situations, site management primarily relies on experience and intuition but also considersthe experiences of colleagues/stakeholders. In their daily operations, site management expressesuncertainty in their decision-making and shows a need for more real-time information to supporttheir decision-making processes. The conclusions from the study indicate that the data and information needs of site managementare broad, varying for different decision-making situations. These needs span several areas, includingthe management of deviations, technical and financial considerations, safety, planning, scheduling,communication, coordination, resource allocation, and construction sequencing. Information isrequested to support decision-making, including rules and regulations, previous experiences,visualization of project status, deviations and specifications, schedules and the sequence ofactivities, safety conditions, and access to information systems.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-98599 |
| Date | January 2023 |
| Creators | Persson, Jacob |
| Publisher | Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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