Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT

Boda Liu,Binghan Zhang,Dayu Zhu,Zhichen Wang,Miaosi Dong,Jianzhuang Xiao,Bin Yang

doi:10.3390/su13105478

Abstract

Currently, construction projects are getting more complex, applying more information and communication technologies (ICT), while few studies use real-time data to dynamically optimize construction. The purpose of this article is to study the current development status of the optimization applied dynamically in the construction phase and their potential for applying real data collected by ICT. This article reviews 72 relevant optimization methods and identified some of the ICT research studies that can provide them with dynamic data. The dynamic triggering mode of each research is first analyzed, then its dynamic way, dynamic data, data resource, optimization object, and method are identified and formulated. The results reveal the great value of dynamic optimization in dealing with the complicated and uncertain contextual conditions in construction. Different dynamic triggering modes have different affinities with real data. Then, through the analysis of ICT articles, the huge potential of these dynamic optimization methods in applying real data is shown. This paper points out the most practical dynamic mode for engineers or managers to continuously apply optimization methods to solve dynamic problems in construction, and put forward scientific questions for related researchers: How does one combine ICT with the event dynamics or uncertain parameters? Based on this, the research gap of this area is identified a conceptual solution is proposed.

Highlights

The construction industry occupies a large proportion of the national economy and has gathered many human, material, and financial resources
This paper summarizes four dynamic patterns for construction optimization: events dynamics, periodic mode, relationship dynamics, and uncertain parameters
Through the entire reading of these dynamic optimization studies, this paper analyzes the dynamic data of each research and their sources, and the impact of dynamic data on optimization methods

Summary

Introduction

The construction industry occupies a large proportion of the national economy and has gathered many human, material, and financial resources. The optimization in the construction or related operation is vital to minimize project cost and duration [2], as it helps to reduce the total cost while increasing CO2 emission negligibly [3]. It is almost impossible to carry out the project as is optimized; even good initial calculations could generate an error of 14% when implementing [4]. It is very important to consider various risk factors before implementing, which makes construction projects more sustainable [5]. Little work has been carried out on optimizing a complex project where the number of available human operators, construction sites, or material is dynamic [6]

Objectives

Methods

Conclusion