He, W; Shi, Y and Kong, D (2019) Construction of a 5D duration and cost optimisation model based on genetic algorithm and BIM. Journal of Engineering, Design and Technology, 17(5), pp. 929-942. ISSN 1726-0531
Abstract
Purpose: The construction industry is characterized by a long construction period, high cost and many uncontrollable factors. The owners and contractors are increasingly focusing on the efficiency of their construction and costs in pursuit of greater economic benefits. However, current methods used in the construction period and cost optimization analysis with multiple constraints the have their own limitations. Therefore, this study aims to propose a combination of genetic algorithm (GA) and building information modeling (BIM) to construct a five-dimensional construction duration-cost optimization model with the advantages of optimization and simulation for optimization. Design/methodology/approach: This design first analyzed the characteristics of changing construction period and cost and then improved the genetic mechanism and the data processing method in the GA according to the aforementioned characteristics. Then, BIM technology was combined with GA to testify the feasibility of the model in the practical engineering project. Findings: The result proved that this new method was reasonable and effective in dealing with the complicated problem of period and cost. GA accelerated the optimization process and yielded a reliable Pareto solution. BIM technology simulated the construction process before construction to increase the feasibility of the construction scheme. Originality/value: This method not only can rapidly provide the best construction period/cost decision to the architect according to the previous working period/cost or contract data that can meet the demands of the architect but also visualize the construction and give a dynamic schedule of the project.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building information modelling; cost; duration; genetic algorithm; Pareto solution |
| Index terms: | owner, building information modelling, efficiency, construction industry, duration, architect, cost optimization, genetic algorithm, construction process, methodology, data processing |
| Subjects: | data science, profession, project controls, building construction, sociology, industry analysis, information systems, research methods, algorithms, economics, performance management |
| Topics: | Roles and Professions, Stakeholder Management, Research Practice, Cost Management, Site Management, Time Control, Quality Management, Digital Applications |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here