Fuzzy Cognitive Map Approach to Analyze Causes of Change Orders in Construction Projects

Khanzadi, Mostafa; Nasirzadeh, Farnad; Dashti, Mohammad Saleh

doi:10.1061/(asce)co.1943-7862.0001430

Cited by 32 publications

(22 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More recently, however, new and more sophisticated approaches have been used based on the premise that is not enough to only recognize and quantify the influence that changes have on productivity but also is needed a thorough understanding of the root causes and dynamic relationships between construction changes and productivity e.g., (Du et al, 2015); (Hanna and Iskander, 2017). As such, novel approaches are not only focused on quantifying the impacts of changes, but also on a more comprehensive understanding of the different causes of changes as well as how these causes may be interrelated (Khanzadi et al, 2018) For example, (Du et al, 2015) proposed an object-oriented Discrete Event Simulation model to investigate the management process of change orders. A factor that contributes to the inefficiency of change order management is the suboptimal allocation of resources and unnecessary procedures related to a defectively organized management process.…”

Section: Novel Research Approachesmentioning

confidence: 99%

The Influence of Changes in Construction Productivity: A State of the Art Review

Araya

2021

RIC

View full text Add to dashboard Cite

Multiple studies have found that productivity in Chilean construction has been stagnated during recent decades; thus, creating the need to understand better what factors have led to these results in the construction sector. In the international literature, studies have found that changes are the leading cause of productivity losses in construction projects; however, limited studies have been done in Chile in this regard. This context is understood as an opportunity to learn from the existing literature about the impact of changes in construction productivity, more importantly, such learning can contribute to the discussion of productivity improvement in the Chilean construction sector. This study recommends that more studies are necessary to be done in Chile regarding the impact of changes in construction projects. Namely, future studies should be based on an extensive database of projects so that generalization can be drawn for the construction industry. Additionally, the data collection process of changes in construction should be improved, paying specific attention to the size of changes, the timing of changes, and the scale of assessment—namely activity, project, and industry levels. Ultimately, this study aims to contribute to the discussion about productivity improvement in Chilean construction as this remains one of the main challenges in the industry

show abstract

Section: Novel Research Approachesmentioning

confidence: 99%

The Influence of Changes in Construction Productivity: A State of the Art Review

Araya

2021

RIC

View full text Add to dashboard Cite

show abstract

“…After that, they modeled the maintenance error-caused relationship and analyzed the failures using FCM. Khanzadi et al [70] modeled the causes of change orders in construction projects and analyzed them [86] presented a new version of the FCM based on the hesitant fuzzy sets called hesitant fuzzy cognitive maps (HFCMs). They aimed to model and analyze the impact of risks on the security of the electric power system by considering the intrapersonal hesitancy and the interpersonal hesitancy simultaneously.…”

Section: Hybridmentioning

confidence: 99%

“…There are several studies using FCMs for simultaneous subjects, including decision-making, modeling, analysis, prediction, system learning, and classification. The majority of FCM applications addressed modeling and analysis subjects and were focused on fields such as the marine industry [4,75], homelessness as a social issue [91], water policy in agricultural [164], automobile maintenance [65], and construction projects [70,126] based on the analyzed database. Breast cancer risk and system failures and risks were evaluated using FCMs in decision-making and modeling subjects simultaneously [31,113,148].…”

Section: Future Trendsmentioning

confidence: 99%

Fuzzy cognitive maps in systems risk analysis: a comprehensive review

Bakhtavar

Valipour

Yousefi

et al. 2020

Complex Intell. Syst.

View full text Add to dashboard Cite

Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based systems in terms of modeling, decision making, analysis, prediction, classification, etc. This study reviews the applications and trends of FCMs in the field of systems risk analysis to the end of August 2020. To this end, the concepts of failure, accident, incident, hazard, risk, error, and fault are focused in the context of the conventional risks of the systems. After reviewing risk-based articles, a bibliographic study of the reviewed articles was carried out. The survey indicated that the main applications of FCMs in the systems risk field were in management sciences, engineering sciences and industrial applications, and medical and biological sciences. A general trend for potential FCMs’ applications in the systems risk field is provided by discussing the results obtained from different parts of the survey study.

show abstract

“…Change orders are commonly faced and affect many aspects of construction (Cheng, Wibowo, Prayogo, & Roy, 2015). The change order impacts are well studied in the literature (Khanzadi et al, 2018). The estimation of change order negative impacts on projects is not easy to estimate (Moselhi, Assem, & El-Rayes, 2005).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The owners have major concerns about the change orders due to their significant on the project budget and program (Shrestha & Maharjan, 2018). Change orders were classified for delays and cost increases in many researches (Khanzadi, Nasirzadeh, & Dashti, 2018). In one study by (Love, Irani, Smith, Regan, & Liu, 2017), Change orders after signing contract found to increase the project cost by 23.75% on average.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Change Order Impact Factors on Construction Project Performance Using Analytic Hierarchy Process (Ahp)

Gunduz

Mohammad

2019

Technological and Economic Development of Economy

View full text Add to dashboard Cite

Complexity is very high in construction project and constrained by money and time. Change orders are commonly required during the execution of construction projects. They may increase, omit or adjust tasks in the project. Change orders affect the performance of construction job because they disturb current jobs and affect their schedule. The motive behind this study is to outline a complete assessment on change orders impacts. A review on past studies was performed to capture change order factors that affect project performance. Literature review and interviews with the industry professionals were used to finalize the factors into 16 critical factors. A questionnaire was distributed to industry specialists to capture the effect of these 16 factors on project performance. Complete answers of 102 surveys were received. Analytic Hierarchy Process (AHP) and Relative Important Index (RII) were utilized to analyze the responses. This study differs from other past studies by studying change order impact factors on three different change order types namely additional, omission and substitutional works. The most important change orders impacts factors as per the analysis outcomes are increased project management efforts, increased project re-planning, loss of efficiency due to work interruption, increased reworks/demolition works and delay of payments. This paper would help construction professionals to recognize change order impacts and would assist them in taking proactive actions to limit these impacts.

show abstract

Fuzzy Cognitive Map Approach to Analyze Causes of Change Orders in Construction Projects

Cited by 32 publications

References 65 publications

The Influence of Changes in Construction Productivity: A State of the Art Review

The Influence of Changes in Construction Productivity: A State of the Art Review

Fuzzy cognitive maps in systems risk analysis: a comprehensive review

Assessment of Change Order Impact Factors on Construction Project Performance Using Analytic Hierarchy Process (Ahp)

Contact Info

Product

Resources

About