Construction cost predictions to reduce time risk assessment are indispensable steps for
process of decision-making of managers. Machine learning techniques need adequate …

This study reviews the common practices and procedures conducted to identify the cost
drivers that the past literature has classified into two main categories: qualitative and …

Purpose–The purpose of this paper is to present a detailed literature review of the recent
applications of the analytic hierarchy process (AHP) and analytic network process (ANP) …

Abstract “Additive Manufacturing”(AM) is a promising technology which will provide major
advantages to Defence Support Service providers, given its ability of delocalised …

Uncertainty of cost items is an important aspect of complex projects. Cost uncertainty
analysis aims to help decision makers to understand and model different factors affecting …

The rapid development of computer science has brought inspirations to building retrofit.
Artificial intelligence (AI) provides more possibilities in decision-making for building retrofit …

In the safety risk assessment, since the determination of risk criteria depending on
individuals constitutes subjectivity, it raises some doubts about the reliability of the risk …

Most knowledge management (KM) techniques capture knowledge at the end of a project,
leading to knowledge loss. Building information modeling (BIM) is a building information …

The idea of sustainable development and the resulting environmentally friendly attitudes are
increasingly used in construction projects. Designing in accordance with the principles of …

Conceptual cost estimates are important to project feasibility studies and impact upon final
project success. Such estimates provide significant information that can be used in project …