Construction schedule delay risk assessment by using combined AHP-RII methodology for an international NPP project

Hossen, Muhammed Mufazzal; Kang, Sang-Ho; Kim, Jong-Hyun

doi:10.1016/j.net.2014.12.019

Cited by 97 publications

(59 citation statements)

References 24 publications

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“…However, the method has a certain limitation. One of the most vital methods is the application of the integrated methods of a relative importance index and fuzzy analytical hierarchy process, have been used to reduce risk [19]. This assessment method has limitations in imprecision and involves subjective judgment [14].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Set significant delay risk factors: it involves the identification and classification of delay risk factors and their consequences [19]. The procedure of selecting factors expressed as, based on the extensive literature review, a questionnaire for pilot study was developed, then the pilot study was assessed in fifteen different projects and participant were interviewed and responded to the questionnaire.…”

Section: Set Significant Delay Risk Factorsmentioning

confidence: 99%

“…Then based on this questionnaire data were collected. A22 Poor site performance and management [15,33] A23 Ineffective scheduling and planning [4,19,30,32] A24 Improper construction methods [19,22,33] A25 Poor coordination and communication with other [4,30,31] A26 Inadequate experience of the contractor [19,22,25] A27 Rework for unsatisfactory work [17,19,22] A3 Consultant A31 Inadequate consultant experience [15,19] A32 Late in receiving and approving of work [4,19,22,30] A33 Late in performing inspection and testing and poor supervision [34] A34 Poor coordination and communication with other [19] B42 Low efficiency and productivity of equipment [34] B42 Lack of spare parts and failures of equipment [4,17,30,31] B43 Problem of mobilization and allocation [16] B45 Equipment outdated [16,34] (C) Contrac condition C1 Absence of alternative dispute resolution (ADR) [4,30,33] C2 Discrepancies and mistakes in contract [33] C3 Unrealistic cost and duration contract [4,17,30] C4 Poor incentives and inadequate penalties in contract …”

Section: Set Significant Delay Risk Factorsmentioning

confidence: 99%

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Risk Level Evaluation on Construction Project Lifecycle Using Fuzzy Comprehensive Evaluation and TOPSIS

Gebrehiwet

Luo

2018

Symmetry

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A risk is a predominant problem in the developing countries construction projects. Although numerous studies have been concerned on risk, there is a limited study on a mechanism to identify the typical risks and effects level. This paper presents an approach for evaluating the risks in case of schedule delays at the various lifecycles of construction projects. The methodology applied is an integrated model of the technique for order preference by similarity to ideal solution (TOPSIS) and fuzzy comprehensive evaluation (FCE). In this study, common criteria, sub-criteria, and attributes are constructed to make a decision concerning the influence level of risk of delay at the construction project lifecycle. The results showed that the construction stage (44%) is highly influenced, the second highly influenced stage is post construction (37%), and the least risked stage is pre-construction (35%). The construction projects in Ethiopia have faced an average delay risk of 38% at a high and very high-risk level. This work is expected to serve as a tool to assist managers in the management and control of schedule delays to mitigate their risks.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Set Significant Delay Risk Factorsmentioning

confidence: 99%

Section: Set Significant Delay Risk Factorsmentioning

confidence: 99%

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Risk Level Evaluation on Construction Project Lifecycle Using Fuzzy Comprehensive Evaluation and TOPSIS

Gebrehiwet

Luo

2018

Symmetry

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“…Both validity and reliability of questionnaires for measuring the frequencies have been conducted in previous studies. Meanwhile, validity and reliability of questioner for measuring the severity are shown in Table II and Table III The product moment correlation using the formula as follows [11]:…”

Section: Validity and Reliabilitymentioning

confidence: 99%

“…The reliability score is using the coefficient C-Alpha should be ≥ 0.8 (which is a value to the appropriateness of the questionnaires). The formula used is as follows [11]:…”

Section: Validity and Reliabilitymentioning

confidence: 99%

Project Risk Patterns: A Comparison Across Three Periods

Fachrurrazi¹,

Husin²,

Mahmuddin³

2018

Int. J. Adv. Sci. Eng. Inf. Technol.

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Aceh has experienced the critical event in three periods (political conflict, tsunami disaster, regular period) which they are different in risk characteristics. These critical events have inflicted on the sectors of life, including the construction sector. Some risk variables have been identified from previous studies that will be applied and analysis in this area by using risk assessment theory. In this research, we focus on the project risks in the three periods that it has an impact on the loss of profit on the contractors in Aceh. The potential risk variable and its pattern will be analyzed crossover in all the three periods. Qualitative risk analysis is used to describe the project risk of contractors who have conduct project in those periods. The potential risk variable, unofficial levies charges by bullies (P11), is the most extreme than other risks variables in the 1st period, has decreased in subsequent periods (2nd period and third period). The risk variable of P11 is the most avoided by the contractor because it is very influential on the achievement of the project objectives. This P11 variable not only emerged during the political conflict period but also in the posttsunami period due to social, economic factors, although it has decreased. This P11 variable not only affects the risk singly but also could trigger the other variable, thus providing a double effect on project risks, such as increased costs for safety and security in project areas (P5) and Increased labor costs due to increased wages (P6). The result of risk analysis using qualitative risk analysis method with Risk Important Index (RII) shows that risk variable of P1 (Bureaucratic of the owner delays payment terms), P12 (Contractors shortage of funds caused by the cost overrun on the project), has experienced decreasing from 2nd period to 3rd period. However, the hypothesis results show that the decreasing is not significant. It indicates that this test is critical to include in risk analysis, especially on the method of qualitative risk analysis.

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Project delays and cost overruns between public and private sectors in Oman

Amri

Pérez

2020

Journal of Public Affairs

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Many Middle Eastern countries have experienced lots of economic development over the last two decades. Virtually all sectors of the economy have seen astronomical growth over this period. One area that has seen massive growth is the construction industry. With such growth, this sector has seen many challenges. Construction delay is one of the main problems faced by this industry. This research aims to investigate the causes of project delays according to project managers working in the public and private sectors in Oman. A survey was used to obtain the primary data. The results show that the most significant client‐related delay factor in the private sector was the postponement in decision making by the customer. The lack of professionals and workers was found to be a significant cause of contractor‐related delays, while the delay in the approval of drawing was a main source of consultant associated delay factors in the private industry. The findings in this research may be used by different construction stakeholders in Oman to help them avert construction delays.

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Construction schedule delay risk assessment by using combined AHP-RII methodology for an international NPP project

Cited by 97 publications

References 24 publications

Risk Level Evaluation on Construction Project Lifecycle Using Fuzzy Comprehensive Evaluation and TOPSIS

Risk Level Evaluation on Construction Project Lifecycle Using Fuzzy Comprehensive Evaluation and TOPSIS

Project Risk Patterns: A Comparison Across Three Periods

Project delays and cost overruns between public and private sectors in Oman

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