scholarly journals Using meta-networks to analyse the impact of adverse random events on the time and cost of completing

2019 ◽  
Vol 28 (2) ◽  
pp. 192-202
Author(s):  
Grzegorz Śladowski

According to the concept of a system-based approach, a construction project can be treated as a complex system composed of various elements, such as human, equipment and material resources, as well as knowledge and tasks that are mutually interlinked. In the classical approach to construction project risk assessment, the impact of the “system” in the analysis of relationships between risk sources and their consequences has so far been neglected. The concept of construction project vulnerability and its adaptability has appeared in literature in recent years. It is analysed on the basis of a project’s vulnerability to the impact of risk factors and its adaptive capacity is seen an answer to project perturbations caused by adverse random events. As a part of developing the system-based approach to analysing construction project schedule, the author further developed the concept of modelling planned construction projects with relationship meta-networks composed of four types of nodes: agents (human resources), knowledge, equipment and material resources and tasks. The author included possible deviations from the planned project’s budget in the schedule vulnerability and adaptability analysis, instead of only focusing on deviations from its completion deadline. An analysis of the occurrence of additional and replacement work was introduced by the author, which further developed the concept of the simulated evolution of such networks to include the capacity to introduce new nodes and links into their structure. Furthermore, the author used the potential of weighted meta-networks to model certain dependencies within the planned project. A simulation-based approach as a part of DNA (dynamic network analysis) was used to analyse the vulnerability and adaptability of such networks. The proposed approach was presented on the example of a renovation project performed on a historical structure. The conclusions drawn from the author’s analyses can be used to formulate construction project schedules that are less vulnerable to perturbations and are characterised by greater adaptability. In the future, the author plans to expand the analysis presented above to include dependencies in single-mode networks (e.g. in agent, resource or knowledge networks) on the meta-network of a project.

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.


2018 ◽  
Vol 49 ◽  
pp. 02020
Author(s):  
Hery Suliantoro ◽  
Nurul Fitriani ◽  
Bagus Hario Setiadji

Risk is a condition caused by uncertainty. Risks will occur on any construction project, including bridge construction projects. Efforts that can be taken to minimize the impact of these risks are to engage in risk management activities. This research was conducted on bridge construction work on toll road procurement project in Pejagan-Pemalang, Pemalang-Batang and Salatiga-Kertasura. The purpose of this research is to analyze the risk of bridge development project in toll road project using Risk Breakdown Structure (RBS) method and then the result as database in discussing risk response strategy. The bridge construction project has 36 risks that are divided into six groups: materials and equipment, design, human resources, finance, management, nature and environmental conditions. Bad weather risks are the higest risk and seasonal risk causing temporary work stoppages. This risk-response strategy is avoidance. Short-term avoidance response strategy is to add shift workers, install tents and add additives in the acceleration of the process of maturation of concrete. The long-term avoidance response strategy is to evaluate and rearrange the work schedule by considering the weather forecast report.


2016 ◽  
Vol 16 (3) ◽  
pp. 307-322 ◽  
Author(s):  
Hossein Karimi ◽  
Timothy R.B. Taylor ◽  
Paul M. Goodrum ◽  
Cidambi Srinivasan

Purpose This paper aims to quantify the impact of craft worker shortage on construction project safety performance. Design/methodology/approach A database of 50 North American construction projects completed between 2001 and 2014 was compiled by taking information from a research project survey and the Construction Industry Institute Benchmarking and Metrics Database. The t-test and Mann-Whitney test were used to determine whether there was a significant difference in construction project safety performance on projects with craft worker recruiting difficulty. Poisson regression analysis was then used to examine the relationship between craft worker recruiting difficulty and Occupational Safety and Health Administration Total Number of Recordable Incident Cases per 200,000 Actual Direct Work Hours (TRIR) on construction projects. Findings The result showed that the TRIR distribution of a group of projects that reported craft worker recruiting difficulty tended to be higher than the TRIR distribution of a group of projects with no craft worker recruiting difficulty (p-value = 0.004). Moreover, the average TRIR of the projects that reported craft worker recruiting difficulty was more than two times the average TRIR of projects that experienced no craft recruiting difficulty (p-value = 0.035). Furthermore, the Poisson regression analysis demonstrated that there was a positive exponential relationship between craft worker recruiting difficulty and TRIR in construction projects (p-value = 0.004). Research limitations/implications The projects used to construct the database are heavily weighted towards industrial construction. Practical implications There have been significant long-term gains in construction safety within the USA. However, if recent craft shortages continue, the quantitative analyses presented herein indicate a strong possibility that more safety incidents will occur unless the shortages are reversed. Innovative construction means and methods should be developed and adopted to work in a safe manner with a less qualified workforce. Originality/value The Poisson regression model is the first model that quantifiably links project craft worker availability to construction project safety performance.


2012 ◽  
Vol 226-228 ◽  
pp. 2253-2257
Author(s):  
Ren Hui Liu ◽  
Bo Yu

It is a nonlinear complex system for project emergency response system, that is a continuous process for the evolution of emergency construction project development process. The nonlinear differential equations that can describe the sudden emergency construction project the evolution of mathematical models. Emergency system by Logistic model was modified, taking into account the development of emergency systems will certainly be outside the system during the impact, combined with the project incidents of law principles of the role of Heinrich proposed TS-based emergency response system evolution equation Model, demonstrated the system at different stages of the emergency rules and features. For the emergency system in which the different stages of development, the corresponding measures to improve emergency response capabilities.


2012 ◽  
Vol 174-177 ◽  
pp. 3360-3363 ◽  
Author(s):  
Zhi Lu Zhen

Based on analyzing the complexity of construction projects, we established a collaborative management framework for complex construction project and presented the main content of collaborative management. The main content includes three parts, the first part is the collaborative management for system itself, the second part is to reduce the system complexity in order to reduce the difficulty of management and the last part is to reduce the complexity caused by the uncontrollable external environment. We can use the method of risk pre-assessment and take risk prevention measures to reduce the impact for collaborative management caused by the dynamic external environment.


2021 ◽  
Vol 236 ◽  
pp. 03002
Author(s):  
Yingying Wu

The Environmental Impact Assessment system, referred to as the EIA system, is to evaluate the impact of the implementation of the plan or the construction and operation of the project on the environment, combine the surrounding environmental quality status, propose ecological or environmental protection measures,then evaluate the effectiveness of the measures, and draw a conclusion on the feasibility of the project(planning) in terms of environmental protection.This article summarizes the role and progress in environmental protection in the two aspects of planning and construction projects in recent years.Comprehensively selected cases found that both planning or construction project environmental assessment have played an important role in predicting the possible impact of planning or construction projects on the environment and ecology, and proposed feasible and effective environmental protection measures.After the planning or construction project adopts the conclusions and suggestions, as long as the "Three Simultaneous" regulations are followed, the impact of the planning or construction project on the environment or ecology can be prevented or effectively reduced. When it is necessary to conduct postevaluation of environmental impact, verify the actual conditions of the construction project, such as emissions and actual production processes.


2019 ◽  
Vol 5 (1) ◽  
pp. 13-19
Author(s):  
Fitri Nur Kharina ◽  
Kusno Adi Sambowo

Construction projects in all regions continues to be developed for the creation of facilities that can be utilized by the community. One of them is the construction of apartments which are now being intensively carried out to meet residential needs for the community. Making a construction project plan always refers to estimates that exist at the time development plan is made, therefore problems can arise if there is a discrepancy between the plans that have been made and the actual reality. So the impact that often occurs is the delay in the time of project implementation which can also be accompanied by an increase in the cost of implementing the project. In the construction project of Cinere Terrace Suites Apartemen & Citywalk, Jakarta there was a delay resulting in a late payment of monthly bill progress by the owner. Based on the above reasons, this research was conducted to find out how the project performance was seen from the cost and time period of the review period. how is the estimated cost and time to complete the overall project work. The method used in the analysis of this study is the Earned Value Method. Based on the results of the analysis carried out for 29 weeks the project performance on schedule has been delayed and cost shows a positive value. For the estimated completion time of the project there is an increase in time whose duration increases from the planned 98 weeks or 685 days to 109,624 weeks or 768 days. While the estimated cost of completing the project from the results of the analysis obtained a value of Rp. 270,147,448,569.16 smaller than the planned cost of Rp. 315,272,727,272.73. With the difference VAC of Rp. 45,125,278,703.57 this shows that there are benefits obtained by the contractor.


2011 ◽  
Vol 28 (8) ◽  
pp. 1064-1078 ◽  
Author(s):  
Maria Elena Bruni ◽  
Patrizia Beraldi ◽  
Francesca Guerriero ◽  
Erika Pinto

PurposeThe purpose of this paper is to address the problem of scheduling under uncertainty in construction projects. The existing methods for determining a project schedule are based on assumption of complete knowledge of project parameters; but in reality there is uncertainty in construction projects, deriving from a multitude of context‐dependent sources and often provided as outcome of a risk analysis process. Thus, classical deterministic analysis might provide a schedule which is not sufficiently protected against possible disruptions.Design/methodology/approachA quantitative methodology is developed for planning construction projects under uncertainty aimed at determining a reliable resource feasible project schedule by taking into account the available probabilistic information to produce solutions that are less sensitive to perturbations that occur on line. The methodology relies on a computer‐supported system that allows to identify, analyze and quantify the schedule reliability and the impact of possible disruptions on the duration of the project.FindingsIt is found that the proposed methodology can exploit more information about the uncertain parameters than the commonly‐used deterministic method, and it provides an improved understanding of the schedule reliability in presence of uncertainty. The schedule generated with a classical deterministic method sets a completely unrealistic planned project delivery date of about 1,250 days, with a probability around 50 per cent to be exceeded. This behavior can be very unsatisfactory for construction projects for which high penalties are usually associated to heavy due date violations.Originality/valueThis paper presents an approach for robust scheduling of construction project problem under uncertainty. We provide a tool able to support managers in developing a workable and realistic project schedule to be used as a guideline for project control and monitoring.


2017 ◽  
Vol 26 (2) ◽  
pp. 241-249 ◽  
Author(s):  
Jarosław Górecki ◽  
Jadwiga Bizon-Górecka ◽  
Karol Michałkiewicz

A paper focuses on analyzing the impact of Big Data (BD) on minimizing the risk in investment and construction projects. The work presents the aspects of risk occurring during the execution of the construction project. It presents an on-line survey which was aimed at knowing the opinion of Polish construction companies on the BD, and checking their readiness to implement technologies supporting manipulation of the data. It was underlined that results of the BD analysis provide a powerful tool for risk management, however, it is hardly noticed by the Polish respondents.


2021 ◽  
Vol 13 (19) ◽  
pp. 11035
Author(s):  
Hossam H. Mohamed ◽  
Ahmed H. Ibrahim ◽  
Asmaa A. Soliman

One of the most vital construction project aspects is to complete a project in minimum time restricted to the time–cost trade-off. Overlapping activities’ planning and their impact on the project under limited resource constraints should be considered. This study aims to develop a model for optimizing the project schedule and cost regarding overlap activities and their impacts. This study reviews previous studies on changes in past activities likely to produce additional reworking of subsequent activities. In addition, an AHP model is developed to assess the reworking time of subsequent activities based on possible changes in previous activities. In addition, five realistic construction projects are applied. Finally, an optimizing model is developed for optimizing project time and cost using overlapping techniques by using the Java program. The results indicate that the proposed model can be used by project managers easily for solving time and cost optimization problems. In addition, it can be updated to continuously improve its functionality. Finally, it can be updated later to support AI for finding better solutions.


Sign in / Sign up

Export Citation Format

Share Document