Research on Risk Analysis for Construction Project Schedule Based on Flexible Network Simulation

Author(s):  
Zhong Zuo-wei ◽  
Xi Bao ◽  
Huang Qiu-guo ◽  
Li Fang-zhen
2021 ◽  
Vol 11 (12) ◽  
pp. 5531
Author(s):  
Linlin Xie ◽  
Yajiao Chen ◽  
Ruidong Chang

Prefabricated buildings are the direction of the future development of the construction industry and have received widespread attention. The effective execution of prefabricated construction project scheduling should consider resource constraints and the supply arrangement of prefabricated components. However, the traditional construction resource-constrained project scheduling implementation method cannot simultaneously consider the characteristics of the linkage between component production and on-site assembly construction. It cannot also fully adapt to the scheduling implementation method of the prefabricated construction projects. It is difficult to work out a reasonable project schedule and resource allocation table. In order to determine the relevant schedule parameters that can reflect the actual construction situation of the prefabricated building and meet the scheduling requirements of the prefabricated project, this study proposes a prefabricated construction project scheduling model that considers project resource constraints and prefabricated component supply constraints. Additionally, it improves the design of traditional genetic algorithms (GAs). Research results of the experimental calculation and engineering application show that the proposed project scheduling optimization model and GA are effective and practical, which can help project managers in effectively formulating prefabricated construction project scheduling plans, reasonably allocating resources, reducing completion time, and improving project performance.


2021 ◽  
Vol 11 (2) ◽  
pp. 650
Author(s):  
Muritala Adebayo Isah ◽  
Byung-Soo Kim

Construction projects are planned in a complex and dynamic environment characterized by high risks and uncertainties amidst resource constraints. Assessing construction schedule risk facilitates informed decision-making, especially in a resource-constrained situation, and allows proactive actions to be taken so that project objectives are not jeopardized. This study presents a stochastic multiskilled resource scheduling (SMSRS) model for resource-constrained project scheduling problems (RCSPSP) considering the impact of risk and uncertainty on activity durations. The SMSRS model was developed by integrating a schedule risk analysis (SRA) model (developed in MS Excel) with an existing multiskilled resource scheduling (MSRS) algorithm for the development of a feasible and realistic schedule. The computational experiment carried out on three case projects using the proposed SMSRS model revealed an average percentage deviation of 10.50%, indicating the inherent risk and uncertainty in activity durations of the project schedule. The core contribution of the proposed SMSRS model is that it: (1) presents project practitioners with a simple tool for assessing the risks and uncertainty associated with resource-constrained project schedules so that necessary response actions can be taken to ensure project success; (2) provides the small-scale construction businesses with an affordable tool for evaluating schedule risk and developing a feasible and realistic project schedule.


2012 ◽  
Vol 170-173 ◽  
pp. 2292-2297
Author(s):  
Jiao Zhang

The application of analytical hierarchy process (AHP) to the risk analysis of port construction project was investigated. Firstly, the happening probabilities of various risk factors during port construction were calculated. Secondly, the aftereffects of the risks were concluded by consulting the experts. Thirdly, the weight of each risk factor was obtained by AHP. Finally, the total risk of port construction project could be evaluated by fuzzy comprehensive evaluation. This risk analysis method was applied to evaluate the total risk of a real port construction project, and the exemplification verified its feasibility.


2021 ◽  
Vol 13 (4) ◽  
pp. 2034
Author(s):  
Chien-Liang Lin ◽  
Bey-Kun Chen

Risks inevitably exist in all stages of a project. In a construction project, which is highly dynamic and complex, risk factors affect the expected achievement rates of the three main performance goals, namely schedule, cost, and quality. A comprehensive risk management procedure requires three crucial steps: risk confirmation, analysis, and treatment. Risk analysis is the core of risk management. Through structural equation modeling, this study developed a risk analysis model that takes a different perspective and considered the occurrence probability of risk events and the extent to which these events affect a project. The contractor dimension was discovered to exert the strongest influence on an overall project, followed by the subcontractor and design dimensions. This paper proposes a novel construction project risk analysis model, which considers the entire project. The proposed model can be used as a reference for risk managers to make decisions about project risks, so as to achieve the ultimate goal of saving resources and the sustainable operation of the construction project.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amirali Shalwani ◽  
Brian Lines

PurposeThe Project Management Body of Knowledge recommends the use of issue logs as a best practice to minimize the potential project cost and schedule growth. Although the broader topic of project control has been widely studied in the construction literature, the specific application of issue logs has remained relatively understudied. This study aims to analyze the extent and consistency with which construction teams utilize issue logs and the corresponding project performance outcomes.Design/methodology/approachA dataset of 5,635 individual issues was gathered from the final issue logs of 881 small building projects delivered via the design–bid–build method. Differences between groups were determined using the Kruskal–Wallis H test with post hoc testing via the Mann–Whitney U test with pairwise comparison.FindingsThe results showed that, on average, project teams who used issue logs to a greater extent achieved a 3.1 to 4.3% reduction in cost growth and a 5.3 to 12.3% reduction in schedule growth. This result shows that issue logs can be used to improve construction project performance in the areas of cost and schedule.Originality/valueThis result provides a contribution to practitioners, wherein project teams should be encouraged to establish their issue management practices early in the project schedule to encourage greater issue log usage for the remainder of the project.


2019 ◽  
Vol 91 ◽  
pp. 08060
Author(s):  
Pavel Morozovskiy ◽  
Denis Muradov ◽  
Anastasia Udalova ◽  
Natalia Samosudova ◽  
Dmitriy Spitsov

The article presents the variant of optimization of the project of construction of a residential complex. The study includes the decomposition of the complex into specialized types of work, the preparation of matrices of the works’ volumes, the calculation of the duration of construction, the calculation of methods of organization of work in different order, the calculations of the estimated cost of objects. A qualitative risk analysis of the project was carried out.


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