Using a hybrid system dynamics and interpretive structural modeling for risk analysis of design phase of the construction projects

Frequent collapse accidents in tunnels are associated with many construction risk factors, and the interrelationship among these risk factors is complex and ambiguous. This study’s aim is to clarify the relationship among risk factors to reduce the tunnel collapse risk. A multicriteria decision-making method is proposed by combining interpretive structural modeling (ISM) and fuzzy Bayesian network (FBN). ISM is used to determine the hierarchical relationships among risk factors. FBN quantitatively analyzes the strength of the interaction among risk factors and conducts risk analysis. The ISM-FBN method contains three steps: (1) drawing the ISM-directed graph; (2) obtaining the probability of the FBN nodes; and (3) using GeNle to implement risk analysis. The proposed method is also used to assess the collapse risk and detect the critical factors in the Canglongxia Tunnel, China. This method’s tunnel collapse risk model can provide managers with clear risk information and better realize project management.

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Combining Soft Systems Methodology with Interpretive Structural Modeling and System Dynamics for Network Orchestration: Case Study of the Formal Science and Technology Collaborative Networks in Iran

Systemic Practice and Action Research ◽

10.1007/s11213-019-09490-z ◽

2019 ◽

Vol 33 (4) ◽

pp. 453-478 ◽

Cited By ~ 2

Author(s):

Ali Shahabi ◽

Adel Azar ◽

Reza Radfar ◽

Reza Asadi Asadifard

Keyword(s):

System Dynamics ◽

Structural Modeling ◽

Soft Systems Methodology ◽

Collaborative Networks ◽

Interpretive Structural Modeling ◽

Systems Methodology ◽

Soft Systems ◽

Formal Science ◽

Network Orchestration

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Exploring the Causes of Design Changes in Building Construction Projects: An Interpretive Structural Modeling Approach

Sustainability ◽

10.3390/su13179578 ◽

2021 ◽

Vol 13 (17) ◽

pp. 9578

Author(s):

Shahab Shoar ◽

Nicholas Chileshe

Keyword(s):

Construction Projects ◽

Structural Modeling ◽

Project Managers ◽

Building Construction ◽

Value Engineering ◽

Interpretive Structural Modeling ◽

Change Orders ◽

Construction Methods ◽

Design Changes ◽

New Construction

The purpose of this study is to investigate the mutual interactions between the causes of design changes using Interpretive Structural Modeling (ISM) and to classify the causes using the “Matrice d’Impacts Croisés Multiplication Appliquée à un Classement” MICMAC technique. This study further identifies and proposes strategies to mitigate design change occurrence and map them onto the identified connections between the causes. To achieve these goals, critical causes of design changes were identified through a comprehensive literature review; 23 key causes were then refined according to the opinions of relevant experts involved in the Iranian building construction sector. Stakeholders associated with each cause and the management areas from which causes arise were also considered. The factors “Unfamiliarity with new construction methods”, “Design errors”, “Value engineering”, “Scope uncertainty”, “Change orders”, and “Constructability ignored in the design phase”, which are highly influenced by other factors, emerged at the highest level of the ISM diagram, and “Clients’ attitudes and experience” as the main root cause of design changes at the bottom of the diagram. The MICMAC technique results showed that consultant-related causes significantly influence other causes, and policy and client-related causes have a feedback effect on the whole system. The findings of this study provide a better insight into how various causes of design changes are connected to one another and can ultimately assist project managers of different parties, even in other countries, to choose influential strategies to mitigate design changes in building construction projects.

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An interpretive structural modeling approach to enablers of green supply chain management on construction projects

Journal of Project Management ◽

10.5267/j.jpm.2021.1.003 ◽

2021 ◽

pp. 73-82

Author(s):

Benedict Amade

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Construction Projects ◽

Structural Modeling ◽

Government Support ◽

Green Supply Chain Management ◽

Green Supply Chain ◽

Interpretive Structural Modeling ◽

Chain Management ◽

The Relationship

The objective of this study is to understand and evaluate the interactions of the Green Supply Chain Management enablers from a construction project's perspective in Imo State, Nigeria. This paper discusses the mix of practical intuition and determination through an interpretive structural modeling (ISM)-driven methodology. Eight (8) enablers were identified from a literature review, expert consultation, and real-world examples. While Matrice d’Impacts croisesmultipication applique a classement analysis (MICMAC) was used to identify dependence and driving power, it was used as a way to understand the relationship between the enablers. The study found that strong, yet fragile, forces drive GSCM adoption, with enhanced awareness of GSCM, increased market appeal for green construction projects, and government support through incentives and tax rebates.

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Risk Analysis of Tunnel Water and Mud Inrush Using Interpretive Structural Modeling and Fault Tree

10.21203/rs.3.rs-1212772/v1 ◽

2022 ◽

Author(s):

Min Han ◽

Teng Xia ◽

Maoxin Su ◽

Yiguo Xue

Keyword(s):

Risk Factors ◽

Risk Analysis ◽

Fault Tree ◽

Fault Tree Analysis ◽

Structural Modeling ◽

Geological Structure ◽

Geological Hazard ◽

Analysis Model ◽

Interpretive Structural Modeling ◽

Water And Mud Inrush

Abstract Water and mud inrush is a common geological hazard in tunnel construction. Risk analysis of tunnel water and mud inrush has always been an important subject. In order to avoid the geological hazard, this paper presents a risk analysis model of tunnel water and mud inrush. The model combines the interpretive structural modeling method (ISM) and fault tree analysis (FTA). Relying on the Qinyu tunnel in the Weiwu expressway project, water and mud inrush risk factors are obtained by using ISM. Fundamental risk factors include formation lithology, attitude of stratum, strata combination, topography and geomorphology, geological structure and weather. ISM core risk factors are used as FTA basic events. Fuzzy importance of FTA basic events is obtained by using fuzzy interval calculation. The results show that geological structure is the primary risk factor causing Qinyu tunnel water and mud inrush. The model achieves qualitative and quantitative analysis of tunnel water and mud inrush. It accurately determines the main factors affecting the tunnel water and mud inrush, which is conducive to accident prevention.

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Modeling cost overrun in building construction projects using the interpretive structural modeling approach: a developing country perspective

Engineering Construction & Architectural Management ◽

10.1108/ecam-08-2021-0732 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Shahab Shoar ◽

Tak Wing Yiu ◽

Shamsi Payan ◽

Majid Parchamijalal

Keyword(s):

Construction Projects ◽

Nominal Group Technique ◽

Structural Modeling ◽

Building Construction ◽

Nominal Group ◽

Clear Understanding ◽

Cost Overrun ◽

Interpretive Structural Modeling ◽

Cost Overruns ◽

Content Type

PurposeAlthough several studies have been conducted on the causes of cost overrun, they have mainly assumed that the causes of cost overrun are independent of each other, and few of them scrutinized the complex interrelationships between the causes. To fill the gap, this study aims to investigate the mutual interactions between the causes of cost overrun using interpretive structural modeling (ISM) and proposing strategies to tackle the causes considering their interactions.Design/methodology/approachCritical causes of cost overrun were identified through a comprehensive literature review. In total, 22 key causes are then refined based on the opinions of relevant experts involved in the Iranian building and construction sector. Using the nominal group technique, the causes' interactions were examined and represented via the ISM diagram. The causes were also classified using “matrix cross-reference multiplication applied to a classification (MICMAC)” technique.FindingsThe results showed that price fluctuation, claims, execution delay, delay in payment and change order positioned at the highest level of the obtained model can directly result in cost overrun, and corruption and poor contract management located at the base of the model are two major root causes of cost overruns. It was also concluded that more attention should be paid to the precontract phase of the project to address and prevent corruption and managerial issues deeply rooted in this stage.Originality/valueThe findings of this study provide a clear understanding of how different causes of cost overrun are related to each other and can ultimately assist project managers of different parties in choosing strategies to mitigate cost overrun in building construction projects.

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