Risk analysis model for construction projects using fuzzy logic

The construction industry project is more subjective and risky compared with the others industries because of the unique characteristics of construction activities such as poor working condition, the significant frequency of accidents and the occupational risky situation. Risk analysis and management on the project sites is the first key to achieve adequate level of security. However, the modern construction and the new sophisticated design have shown a significant obstacles and uncertainties to complete the project safely; thereby it is inevitable to search a new approach to deal with uncertainties. The ability of a fuzzy system to deliver its reasoning process is presented to have absolute result within the field of risk analysis. As well as, fuzzy set theory is mainly subjective and associated to deal with inexact and vague information in construction projects. This paper describes the stages of the fuzzy risk analysis model which is developed to assess the risks related with construction projects and their uncertainties based on evaluations of cost, time and quality. Ultimately, using this model we can prioritize and rank all risk factors cited in the construction project; besides that we can easily manage them in the best appropriate way

Work safety behaviour model for improving safety in construction industry using Bayesian Network

The construction industry involves one of the most hazardous occupations for workers due to complex management processes, environmental issues, work pressure and heavy equipment involved in modern construction projects. Despite the advancement of technology and the new approaches which have been developed and adopted to tackles the accidents in construction industry in Malaysia, an escalating number of fatal accidents are still occurring because of mainly the human errors and the unsafe behaviours. In the same vein, improving the safety behaviour became the main attention of the researchers recently in construction industry to reduce the accidents at workplace. Therefore, this study determined the key factors and the relationship between all safety behaviour factors (organizational factors, safety climate factors and individual factors) in order to build a safety behaviour model for improving safety and minizing the fatal accidents in the construction industry. In this research, all critical safety behaviour factors were defined from literature review in order to develop a comprehensive conceptual framework. After performing the pilot study, defining the proportionate stratified sampling, the data was collected accordingly from different construction projects. The key factors, then, were finalised by using explanatory factor analysis using SPSS. With the assistant of the experts in the safety field and by applying Dempster and Shafer theory, the structure of Bayesian network was built accordingly. Furthermore, Netica software embraced the latest shape of developed safety behaviour model. The developed Bayesian network model elaborated generally that the individual factors have registred the highest proportion of influence on safety behaviour while there was a mediocre influence by the safety climate factors. On the other hand, the safety behaviour received a low influence by the Organizational factors. Besides, Join Strategy assisted to deduce the best safety behaviour strategy to upgrade the safety at the workplace in the construction industry.The results revealed also that learning, safety compliance and safety knowledge have an enormous influence on safety behaviour and they should be well-taken care by the safety management to ameliorate the safety at workplace. All in all, safety behaviour can record a high performance among the workers by promoting these factors. Hence, the leaders and decision-makers are advised to enhance the organizations’ learning, safety knowledge and safety compliance to upgrade the safety behaviour of the employees in the construction site, and therefore this will improve the safety performance and minimise the fatal accidents in the construction industry

Facilitate risk management in construction process by using hierarchical risk breakdown structure

Risk management is an important part of the decision-making process in construction project management, particularly regarding the project’s integration, scope, time, cost, quality, human resources, communications and procurement. Risk management improves the future prospects of a project as it identifies uncertainties and probabilities. However, A lot of analysts and experts have been struggling to define risks by using many analysis and methods where have been applied to define these uncertainties and risks. But eventually, these methods have showed up a weak and sometimes a fatal data missing which may lead to affect directly on the risk management and success of project. In this research paper highlights on one of the most useful and practical method Hierarchal Risk Breakdown Structure which may facilitate to identify and quantify all risks to which the project is exposed so that a conscious decision can be taken on how to manage the risk

Fuzzy risk analysis for construction projects

The construction industry projects are more subjective and risky compared with the others industries because of the unique characteristics of construction activities such as poor working condition, the significant frequency of accidents and the occupational risky situation. Risk analysis and management on the project sites is the first key to achieve adequate level of security. However, the modern construction and the new sophisticated design have shown a significant obstacles and uncertainties to complete the project safely; thereby it is inevitable to search a new approach to deal with uncertainties. The ability of a fuzzy system to deliver its reasoning process is presented to have absolute result within the field of risk analysis. As well as, fuzzy set theory is mainly subjective and associated to deal with inexact and vague information in construction projects. This paper describes the stages of the fuzzy risk analysis model which is developed to assess the risks related with construction projects and their uncertainties based on evaluations of cost, time and quality. Ultimately, using this model we can prioritize and rank all risk factors cited in the construction project; besides that we can easily manage them in the best appropriate way

Best project management practice to attain project success, based on the success criteria

The project management is described as managing resources on a given activity of an organization unit dedicated in order to meet the attainment of a goal and a successful completion of the development project. Many researchers have been endeavoring to develop the best practice of project management in conformance with predetermined performance specifications to avoid delays, overrun cost, quality reduction and to meet the specific requirements of stakeholders as well. This research paper reviews the literature on the project management relevant to the project success and determines the specific success criteria and the value of the iron triangle cost-time-quality to better practice for the project management. Moreover, this paper proposes that the project success can be defined in terms of the integration of the project management and success criteria “Cost-Time-Quality” to meet the satisfaction and the expectation of the stakeholders

A Fuzzy-based Risk Model for Construction Project Management

Construction industry involves complex and challenging process associated with the risk of injury, death and property loss. Experts from different departments work together to develop a good management system in order to successfully complete a construction project. This paper presents a model of risk analysis using fuzzy logic to assess the risk involved in construction projects. The uncertainties related to cost, time and quality in the project is handled by the fuzzy logic that is one of the methods dealing with uncertainties in risk analysis. The model was validated using a real project. The test results demonstrated the plausibility of the model for the risk analysis in a real scenario. Using this model, one can prioritize and rank all risk factors in a construction project. Thus, the project managers and leaders can appropriately take precautions to avoid the risk. The proposed model of fuzzy-based risk analysis simplifies the risk management process, which helps the decision makers and the experts to monitor and to control the project, and ultimately, to meet the satisfaction of stakeholders

Developing an Effective Conceptual Framework for Safety Behaviour in Construction Industry

The construction industry involves one of the most hazardous occupation for workers due to complex management processes, environmental issues, work pressure and heavy and complicated equipment involved in modern construction projects. Despite the advancement of technology in the construction industry, an escalating number of fatal accidents occur because of the human errors and the unsafe behaviours. In this research, an analysis for previous studies has been conducted to define all safety behavioural factors in construction industry for improving the safety performance in construction industry. All the studies were categorised in accordance with their methodologies, analytical methods, variables, and the findings in order to build an effective conceptual framework. The framework comprises of three main categories that incur direct impact toward the safety behaviour in construction industries, namely: (a) organizational factors, (b) safety climate factors, and (c) individual factors. Each category has own variables which make a total of 16 factors for all categories. The framework facilitates to assess the effectiveness of a construction industry, identify the deficiencies and the weakness, and create procedures to manage the accident in future by controlling the safety behaviour of employees

Developing an Effective Conceptual Framework for Safety Behaviour in Construction Industry

The construction industry involves one of the most hazardous occupation for workers due to complex management processes, environmental issues, work pressure and heavy and complicated equipment involved in modern construction projects. Despite the advancement of technology in the construction industry, an escalating number of fatal accidents occur because of the human errors and the unsafe behaviours. In this research, an analysis for previous studies has been conducted to define all safety behavioural factors in construction industry for improving the safety performance in construction industry. All the studies were categorised in accordance with their methodologies, analytical methods, variables, and the findings in order to build an effective conceptual framework. The framework comprises of three main categories that incur direct impact toward the safety behaviour in construction industries, namely: (a) organizational factors, (b) safety climate factors, and (c) individual factors. Each category has own variables which make a total of 16 factors for all categories. The framework facilitates to assess the effectiveness of a construction industry, identify the deficiencies and the weakness, and create procedures to manage the accident in future by controlling the safety behaviour of employees

Developing an Effective Conceptual Framework for Safety Behaviour in Construction Industry

The construction industry involves one of the most hazardous occupation for workers due to complex management processes, environmental issues, work pressure and heavy and complicated equipment involved in modern construction projects. Despite the advancement of technology in the construction industry, an escalating number of fatal accidents occur because of the human errors and the unsafe behaviours. In this research, an analysis for previous studies has been conducted to define all safety behavioural factors in construction industry for improving the safety performance in construction industry. All the studies were categorised in accordance with their methodologies, analytical methods, variables, and the findings in order to build an effective conceptual framework. The framework comprises of three main categories that incur direct impact toward the safety behaviour in construction industries, namely: (a) organizational factors, (b) safety climate factors, and (c) individual factors. Each category has own variables which make a total of 16 factors for all categories. The framework facilitates to assess the effectiveness of a construction industry, identify the deficiencies and the weakness, and create procedures to manage the accident in future by controlling the safety behaviour of employees