Development of Project Risk Management framework based on Industry 4.0 technologies

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Santosh B. Rane ◽  
Prathamesh Ramkrishana Potdar ◽  
Suraj Rane

Purpose The purpose of this paper is to identify the risks involved in the construction project based on a literature survey (LS), to develop a project risk management (PRM) framework based on Industry 4.0 technologies and to demonstrate the developed framework using Internet of Things (IoT) technology. Design/methodology/approach A comprehensive LS was carried out to know the different risks involved in the construction project and developed a PRM framework based on Industry 4.0 technologies to increase the effectiveness and efficiency of PRM. Heavy equipment and parameters were identified to demonstrate the developed framework based on IoT technology of Industry 4.0. Findings This paper demonstrates Industry 4.0 in the various stages of PRM. LS has identified 21 risks for a construction project. The demonstration of the PRM framework has identified the sudden breakdown of equipment and uncertainty of equipment as one of the critical risks associated with heavy equipment of construction project. Research limitations/implications The project complexity and features may add a few more risks in PRM. Practical implications The PRM framework based on Industry 4.0 technologies will increase the success rate of the project. It will enhance the efficiency and effectiveness of PRM. Originality/value The developed framework is helpful for the effective PRM of construction projects. The demonstration of PRM framework using IoT technology provides a logical way to manage risk involved in heavy equipment used in a construction project.

2016 ◽  
Vol 5 (2) ◽  
pp. 24
Author(s):  
Hafida Lmoussaoui ◽  
Hicham Jamouli

<p>Because of their specific and complex characteristics, construction projects are exposed to numerous risks of various natures, which make their management more difficult. In this setting, Project Risk Management is an indispensable activity for their successful delivery. It consists in the risk identification, assessment, prioritization, treatment, monitoring and control. This paper presents a novel approach for the identification of construction project risks and a network theory-based methodology for their modelling and analysis. These models serve as a powerful tools comparing to classical methods and provide a support for decision-making regarding Project Risk Management. A case study of a real construction project is used to illustrate these findings.</p>


Buildings ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 2
Author(s):  
Sanna Ullah ◽  
Nadeem Ahmad Mufti ◽  
Muhammad Qaiser Saleem ◽  
Amjad Hussain ◽  
Rab Nawaz Lodhi ◽  
...  

Risk appetite is a crucial component that plays a key role in the decision-making process of project risk management. Despite rising scholarly interest in project risk management, risk appetite has received little attention thus far. A well-defined risk appetite ensures that all decisions taken throughout the course of a project are consistent with an organization’s ultimate strategic aim. This research aims to identify the factors affecting the risk appetite of megaproject selection in the construction sector. The study adds to the knowledge of risk appetite in mega construction project selection and qualitatively examines the factors affecting risk appetite. Exploratory research design is used to identify these factors. The factors are identified using semi-structured interviews of 30 practitioners from the top and middle management working on mega construction projects. Thematic analysis was performed using NVIVO academic software. The most highlighted factors are financial attributes, board of directors’ agility, political factors, project location and demographics. The proposed conceptual framework identifies the factors affecting the risk appetite of mega construction project selection. These factors may be utilized as a starting point by construction project organizations to evaluate the risk appetite of a mega construction project. Risk appetite-based project selection will decrease chances of failures, delays, and cost overruns in mega-projects. These factors can be used by researchers as a rationale for developing predictive or descriptive models of project selection based on risk appetite.


2017 ◽  
Vol 17 (1) ◽  
pp. 68-89 ◽  
Author(s):  
Jennifer Firmenich

Purpose The purpose of this paper is to emphasise on the need for efficient and effective project risk management practices and to support project managers in increasing the cost certainty of projects by proposing a new framework for project risk management. Design/methodology/approach The author adopts a “constructivist” methodology, drawing on practices common in construction management sciences and new institutional economics. Findings The author presents a holistic and customisable project risk management framework that is grounded in both practice and academia. The framework is holistic because, amongst others, all steps of the typical risk management process are addressed. The framework is customisable, because it allows for alternative ways of implementing the project risk management steps depending on the project-specific circumstances. Research limitations/implications The framework does not address the potential unwillingness of the project players to set up a project risk management process, at all. The proposed framework has not yet been tested empirically. Future research will seek to validate the framework. Originality/value The framework is designed to account for the difficult circumstances of a complex construction project. It is intended to support decision makers in customising a practical yet comprehensive project risk management concept to the characteristics of the unique project. Although many other project risk management concepts are designed based on the assumption that actors are perfectly rational and informed, this framework’s design is based on the opposite assumption. The framework is dynamic and should adapt over time.


Author(s):  
Alfredo Federico Serpell ◽  
Ximena Ferrada ◽  
Larissa Rubio

Abstract The function of project risk management (PRM) is to understand the uncertainty that surrounds a project and to identify the potential threats than can affect it as well as to know how to handle these risks in an appropriate way. Then, the measurement of the performance of PRM becomes an important concern, an issue that has not yet been addressed in the research literature. It is necessary to know how successful the application of the PRM process is and how capable is the process within the organization. Regarding construction projects, it is essential to know whether the selected responses to mitigate or eliminate identified risks were suitable and well implemented after the execution of the project. This paper presents a critical analysis of the relevance of measuring the performance of PRM and the benefits of doing so. Additionally, it presents a preliminary and pioneering methodology to measure the performance of PRM through the evaluation of the adequacy of responses applied to mitigate risks as well as to evaluate the resulting impacts as indicators of the effectiveness of these actions at the end of the project. This knowledge will allow construction companies to incorporate good practices, generate lessons learned, and thereby to promote a continuous improvement of the whole PRM process.


2016 ◽  
Vol 29 (2) ◽  
pp. 110-124 ◽  
Author(s):  
Jorge Ayala-Cruz

Purpose The purpose of this paper is to present the implementation and testing of a modified project risk management framework that integrates PMI’s framework with Monte Carlo simulation to improve the effectiveness in high-tech new product development (NPD) projects. Design/methodology/approach The modified framework considers three bodies of knowledge: project management, risk management, and Monte Carlo simulation to produce an enhance project risk management framework. Its application is shown through a case study. Findings Using the integrated framework in a recent case study project and prior NPD projects measures (as benchmarks), it was shown that it could help to enhance risk responses caused by task durations and costs’ uncertainties. The framework proved to be better than segregated generic best practices and was key in providing insight to the issue of early project risk assessment. Research limitations/implications More experimental replications are required for enhancement effectiveness assertions of the framework, through the application of the framework to similar case studies. Furthermore, this could improve its reliability and soundness. Practical implications Future directions for research could include case and empirical studies that include hypothesis’s testing, and the integration of optimization procedure for improved NPD project’s planning and execution. Originality/value This paper outlines a way to close the gap of project risks management planning in NPD’s initiatives. It was motivated by a relatively new tendency in exploring integrated frameworks to deal with complex project risks issues.


2011 ◽  
Vol 243-249 ◽  
pp. 6362-6368
Author(s):  
Yan Zhang ◽  
Chang Jiang Liu

In the field of engineering and construction, unqualified construction quality, time delays, cost more than expected phenomena to occur. Because of these characteristics such as its large-scale construction projects, long cycle, the production of single and complex, there is greater risk than the production of general products, the risk increases the difficulty of construction project management, operating costs and the possibility of potential losses, therefore, risk management emerged and become an increasingly important integral part of project management. In this paper, fuzzy analytic hierarchy be used to construction project risk assessment, and to order the sort of each risk in order to prevent significant risks. On an actual project - the new stadium construction in Weifang City risk management case study, the reduction of risk of project failure is expected, but also the project is hoped for other industries to provide some reference for risk management.


2019 ◽  
Vol 12 (1) ◽  
pp. 187-210 ◽  
Author(s):  
José Crispim ◽  
Luiz Henrique Silva ◽  
Nazaré Rego

PurposeThe purpose of this paper is to identify patterns of project risk management (PRM) practices’ adoption, and provides empirical evidence concerning the importance (and key attributes) of organizational PRM maturity to the use of risk-related practices and project performance.Design/methodology/approachThe research involved two phases: interviews with five project managers, and a worldwide survey of project managers that resulted in the analysis of 865 valid questionnaire responses. Cluster analysis was used to classify PRM practices’ use, factor analysis to detect the structure of the relationship between the variables measuring PRM practices’ use and a multiple regression analysis (with canonical correlation) to further reveal the different degrees to which PRM practices and organizational maturity are associated.FindingsThe identified patterns of risk practices’ adoption indicate that different contexts of organization PRM maturity and project complexity influence practices selection. The PRM practices related with targets (e.g. time-phased budget plan) are the most used, and those related to tools and techniques (e.g. S-curve) are the least used. Additionally, the obtained results confirm that organizational PRM maturity influences risk practices’ usage, moderated by project complexity, and organizational PRM maturity influences project performance.Originality/valueEmpirical methods were used to investigate the relationship between organizational PRM maturity and a large set of PRM practices with project complexity as a moderator. Gaps in the use of PRM practices (i.e. areas where more PRM knowledge and training are needed) were identified. Finally, this work identifies the attributes of organizational maturity with implications in practices’ usage and project performance.


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