Abstract Large Language Models (LLMs) trained on large data sets came into prominence in
2018 after Google introduced BERT. Subsequently, different LLMs such as GPT models from …

Purpose The purpose of this paper is to provide comprehensive analysis and understanding
of lean construction (LC) and to help researchers to find new gaps and research …

The complex and dynamic nature of construction projects, due to intricate design and
involvement of several direct and indirect stakeholders, exposes them to various risks …

The resource constrained project scheduling problem (RCPSP) has a wide variety of
practical applications in construction, manufacturing, project planning, and other areas …

Construction is an extremely information-dependent industry in which a project's success
largely depends on good access to and management of data. Effective project management …

Interaction and integration of uncertainties in on-site and off-site project activities often result
in the risk of delays and schedule overruns in hybrid construction projects. To address this …

The architecture, engineering and construction industry has long dealt with problems such
as schedule and budget overruns, quality and safety issues, and low productivity. Off-site …

To complete a successful energy project, all aspects and criteria which can influence the
project should be considered. Classic time-cost trade-off (TCT) is used when the completion …

The meeting of milestones presents a constant challenge in construction projects. One root
cause behind this challenge is the presence of variability in the project workflow. In fact …

The paper presents an overview of the literature from recent years devoted to planning the
time, costs and risk of a construction investment using fuzzy logic. It also presents three own …