Risk Management in the Chinese Construction Industry

There has been an increase in research on risk management practice in the construction industry. However, little research has been conducted to systematically investigate the overall aspects of risk management on the perspectives of various project participants. This paper reports the findings of an empirical Chinese industry survey on the importance of project risks, application of risk management techniques, status of the risk management system, and the barriers to risk management, which were perceived by the main project participants. The risk management strategies adopted in the Three Gorges Project were also studied. The study reveals that: Most project risks are commonly of concern to project participants; the industry has shifted from risk transfer to risk reduction; current risk management systems are inadequate to manage project risks; and lack of joint risk management mechanisms is the key barrier to adequate risk management. Future studies should be conducted to systematically improve the risk management in construction by different approaches that facilitate equitable sharing of rewards through effective risk management among participants. Such studies should also consider the establishment of an open communication risk management process to permit the corporate experience of all participants, as well as their personal knowledge and judgment, to be effectively utilized.     

Management’s Perception of Key Performance Indicators for Construction

There is a great need in the construction industry for identifying a set of common indicators to be used by construction executive and project managers in measuring construction performance at the project level. The focus of this research was to collect management perceptions of the key performance indicators currently utilized in the construction industry. Both quantitative performance indicators and qualitative performance indicators are represented. A literature search was used to generate the initial set of perceived key performance indicators, which were administered to the construction industry via a survey. A statistical analysis of the collected survey responses provided information for the identification of a common set of perceived Key Performance Indicators (KPIs) by construction sector, management level, and experience level. Correlations were performed for both the quantitative and qualitative indicators to determine which type of indicator is used most extensively. Basic statistical analyses and frequency distributions provided evidence in support of some of the hypotheses of the research. The results of the survey data analysis support the hypothesis that KPIs vary according to management’s perspective. Further analysis displayed a substantial difference between construction executive and project management’s perceptions. However, six indicators were reported as being most useful by every segment of the construction industry involved in this study. The correlation between quantitative indicators and qualitative indicators proved to be inconclusive.     

Managing Construction Projects Using the Advanced Programmatic Risk Analysis and Management Model

Risk management is an important part of construction management, yet the risk-based decision support tools available to construction managers fail to adequately address risks relating to cost, schedule, and quality together in a coherent framework. This paper demonstrates the usefulness of the Advanced Programmatic Risk Analysis and Management Model (APRAM) originally developed for the aerospace industry, for managing schedule, cost, and quality risks in the construction industry. The usefulness of APRAM for construction projects is demonstrated by implementing APRAM for an example based on an actual building construction project and comparing the results with other risk analysis techniques. The results show that APRAM simultaneously addresses cost, schedule, and quality risk together in a coherent, probabilistic framework that provides the information needed to support decision making in allocating scarce project resources.     

Ontology for Relating Risk and Vulnerability to Cost Overrun in International Projects

Risk management is about identifying risks, assessing their impacts, and developing mitigation strategies to ensure project success. The difference between the expected and actual project outcomes is usually attributed to risk events and how they are managed throughout the project. Although there are several reference frameworks that explain how risks can be managed in construction projects, a major bottleneck is the lack of a common vocabulary for risk-related concepts. Poor definition of risk and patterns of risk propagation in a project decrease the reliability of risk models that are constructed to simulate project outcomes under different risk occurrence scenarios. This study aims to extend previous studies in risk management by presenting an ontology for relating risk-related concepts to cost overrun. The major idea is that cost overrun depends on causal relations between various risk sources (namely, risk paths) and sources of vulnerability that interfere with these paths. Ontology is used to develop a database system that represents risk event histories of international construction projects and to construct a model for estimation of cost overrun. It will form the basis of a multiagent system that can be used to simulate the negotiation process among project participants about sharing of costs considering the risk allocation clauses in the contract, sources of vulnerability, and causal relations between risk events and their impacts. The ontology is constructed by interaction with Turkish contractors working in international markets and extensive literature review on risk-related concepts. The validation test results provide evidence that the ontology is fairly effective to help Turkish contractors to assess cost overrun by considering sources of vulnerability and risk in international construction projects.     

Partnering Mechanism in Construction: An Empirical Study on the Chinese Construction Industry

Partnering and its principles have increasingly been introduced to the construction industry to improve the efficiency of project delivery. However, little research outlines the mechanism behind its application. This paper presents the findings of a study that was conducted to develop and test a partnering model that reveals the relationships between the critical success factors (CSFs) of partnering and demonstrates their importance to construction. With support of data collected from the Chinese construction industry, this study has revealed strong correlations among partnering CSFs, risk management, total quality management (TQM), use of incentives, and project performance. It is concluded that project success is the outcome of the interaction between a variety of techniques, and that partnering, associated with incentives, is a basic management method through which risk management and TQM can be strongly improved.     

Safety Risk Identification and Assessment for Beijing Olympic Venues Construction

New technologies, new materials, and innovative designs have been extensively adopted in Beijing Olympic venues construction. The extreme requirements for time deadline and competition function expose the venues construction to high risks. These risks would potentially bring negative impacts on the site safety performance. Meanwhile, there is a lack of systematic management for safety risks in China’s construction industry, especially for large projects such as the Beijing Olympic venues construction. This paper identifies and assesses safety risk factors inherent in Beijing Olympic venues construction with the involvement of 27 experienced and highly respected experts from government agencies, the construction industry, and academe through brainstorming, workshop discussions, and questionnaire surveys. The finding reveals that more than half of the critical safety risk factors are from contractors and subcontractors such as: lack of emergency response plan and measures; workers’ unsafe operation, and contractors ignoring safety under schedule pressure. Based on these critical safety risks, a risk register is composed and a model is developed in application of the analytic hierarchy process to assess the status of risks on site safety. The model has been attempted in two Olympic venue projects under construction and the validity has been approved. The risk checklist, register, and assessment model developed in the paper were integrated into the risk management system that has been used for Beijing Olympic venues construction.     

Fuzzy Analytical Hierarchy Process Risk Assessment Approach for Joint Venture Construction Projects in China

Research and practice show that construction joint venture (JV) activities in China are opportunities that can bring potential benefits but at the same time may generate many risks. While research has studied these risks and presented useful advice for managing individual risks, the methodologies used to analyze the risks were mainly qualitatively based, and there is a gap in using the quantitative method that can integrate a risk expert’s knowledge to assess the risks associated with JV projects. This paper sets up a hierarchy structure of the risks and then develops a fuzzy analytical hierarchy process (AHP) model for the appraisal of the risk environment pertaining to the JVs to support the rational decision making of project stakeholders. An empirical case study is used to demonstrate the application of the proposed fuzzy AHP model. It is concluded that the fuzzy AHP model is effective in tackling the risks involved in JV projects. The information presented in this paper should be shown to all parties considering JV business opportunities in China, and the proposed approach should be applicable to the research and analysis of risks associated with any type of construction projects.     

Risk Assessment Model of Tendering for Chinese Building Projects

This paper presents a risk assessment model for tendering of Chinese building projects on the basis of identification and evaluation of the major risk events in the Chinese construction market, investigations and interviews from which the factors inducing the risk events were determined, questionnaires on building projects within China’s borders, and the logistic regression method. The findings show that, to a certain extent, the risk of tendering for projects and the risk of a contracted project can be assessed through analysis of factors such as owner type, source of project financing, existence or lack of past cooperation between contractors and owners, the intensity of competition for tendering, the reasonableness of the bid price, and the degree of support from the contracting company to its projects. The model can serve as a supplementary tool for Chinese contractors in making decisions for project tendering within Chinese borders. At the same time, it is of reference significance for international contractors, enabling them to further understand the risks in the contract market for Chinese building projects.     

Financial Viability Analysis and Capital Structure Optimization in Privatized Public Infrastructure Projects

Numerous public infrastructure projects have been privatized worldwide, where responsibilities, risks, and rewards are substantially reallocated between pubic and private sectors. The financial evaluation of a privatized infrastructure project is complex and challenging because of the risks and uncertainties due to the large size, long contract duration, nonrecourse financing, multiple project participants with different motives and interest, and the complexity of the contractual arrangements. Improved financial engineering techniques are required to overcome the limitations of traditional financial analysis techniques in addressing risks and uncertainties. This paper develops a methodology for capital structure optimization and financial viability analysis that reflects the characteristics of project financing, incorporates simulation and financial engineering techniques, and aims for win–win results for both public and private sectors. This quantitative methodology defines the capital structure of a privatized project in four dimensions, examines different project participants’ perspectives of the capital structure, optimizes the capital structure, and evaluates the project’s financial viability when it is under construction risk, bankruptcy risk and various economic risks (that are dealt with as stochastic variables), and is subject to other constraints imposed by different project participants. This methodology also evaluates the impact of governmental guarantees and supports, and addresses the issue of the equity holders’ commitment to project success by initiating the concepts of equity at project risks, value of governmental loan guarantee, and project bankrupt probability during construction. A framework and a solution algorithm are provided for this proposed methodology. These research outputs will significantly facilitate both public and private sector in evaluating a privatized project’s financial viability and collectively determining an optimal capital structure that safeguards their respective interests.     

Survey of Risk Management in Major U.K. Companies

Risk management consists of five stages, which are essential to the success of a major project. These five stages are identification, analysis, evaluation, response, and monitoring. The variations in using such risk management practices are considerable and are dependent on numerous factors such as the industry sector. This dependency is investigated and presented in this paper. Over 100 companies within the construction industry and oil and gas operators in the United Kingdom were surveyed through questionnaires that elicited information on the size and range of activities of the company, the techniques of risk analysis currently being used, the company's policy on responding to risk, as well as identifying specific risks encountered during any particular project. This paper highlights the vital conclusions accumulated from an analysis of the responses to the various sections of the questionnaire. The main conclusions from this paper are as follows: Personal and corporate experience and engineering judgment are the most successful qualitative techniques; expected monetary value, expected net present value, sensitivity analysis, and decision analysis are the principal quantitative techniques; and risk reduction (through staff training and education and the improvement of working conditions) is the most popular method of responding to risk.     

Factors Affecting Construction Project Outcomes: Case Study of Vietnam

Due to the demand for built products from foreign investors and the growing economy, Vietnam’s construction industry experiences strong growth. While some of the construction projects are successfully executed, others faced difficulties. The aim of this study is to examine the factors that lead to successful outcomes in construction projects in Vietnam. Using the case study research design, three successful projects and another three unsuccessful projects were investigated. Data were collected from face-to-face interviews with several project participants in each project and archival data. The results show that major enablers that lead to project success are foreign experts’ involvement in the project, government officials inspecting the project, and very close supervision when new construction techniques are employed. A factor which leads to poor performance is the lack of accurate data on soil, weather, and traffic conditions. The findings may be useful to construction professionals operating in Vietnam to put in place factors that can lead to good project performance. For foreign practitioners entering Vietnam’s market, the study may assist them in focusing on the more important factors to achieve good project outcomes.     

Risk-Based Safety Impact Assessment Methodology for Underground Construction Projects in Korea

Safety of construction projects may be affected by various factors such as types and scale of projects, construction methods, safety management procedure, climate, site conditions, etc. Among them is the quality of design in relation to safety. Presently, however, designers typically are not involved in construction safety. They are often uncertain of their responsibilities in relation to construction safety and fail to be responsible for avoiding or reducing safety-related risks. In this study, the concept of safety impact assessment to achieve “design-for-safety” in the design phase is introduced. For this purpose, a safety impact assessment model was devised, and a methodology using the risk-based safety impact assessment approach for open-cut type underground construction projects in Korea is suggested. The suggested methodology includes a safety information survey, classification of safety impact factors caused by design and construction, and quantitative estimation of magnitude and frequency of safety impact factors. A checklist which can be easily used for assessing the safety performance of design products is also proposed. A real-world case study on the safety impact assessment of a subway construction project in Korea is also provided in the paper.     

Investment Risk Analysis in Airport Parking Facility Development

Although parking revenue is a principal source of income, supply of parking infrastructure at airports is based largely on expected needs. Although that is a rational basis, high investment costs and management fees are requiring developers and financiers to carefully analyze investment risks. This paper focuses on sources of investment risk in airport parking infrastructure development and discusses the application of Monte Carlo simulation to estimate and understand the impacts of cash flow uncertainties on project feasibility. It is shown that cost overruns, which are common in construction project development, have the most significant impact on return risk.     

Predicting Profit Performance for Selecting Candidate International Construction Projects

International projects are inherently exposed to unpredictable and complicated risk scenarios. To minimize possible losses due to these risk exposures, construction firms have their own procedures or basic tools for selecting potential projects, but they are usually based on the experience and knowledge of the firm’s engineers and decision makers that are often very subjective and lack scientific basis. This paper presents a quantitative profit prediction model for the early stage of an international project as a systematic risk-screening tool that involves the processes of defining, analyzing, and evaluating various profit-influencing risk variables. Various successful and unsuccessful international project cases with respect to profit levels are collected. Then, a scale-based profit prediction model to select candidate overseas projects is developed through factor analysis and a multiple regression analysis. Finally, this paper provides implications for global project management and lessons learned from case studies to improve profitability for international projects.     

Lessons Learned: Failure of a Hydroelectric Power Project Dam

The case of a hydroelectric power project is presented to show how lack of understanding and poor filter design, along with insufficient control of construction quality, caused the failure of a dam. This paper summarizes the forensic investigations and attempts to explain the conditions that led to the formation of sinkholes on the embankment slope and the subsequent initiation of progressive failure of the embankment. The steps necessary to restart the power project, including the final remedial design, are then detailed. This paper also discusses how the functions of various engineering design components are integrated in the context of failure of the embankment. This case serves as a lesson for practicing engineers concerning the difficult technical, professional, and procedural issues that may arise during the design and construction of critical infrastructures.     

Continuous Value Enhancement Process

The demand for sustainable buildings is an important emerging trend in the building industry. However, the task of delivering these facilities is more difficult than for traditional projects and existing project management techniques struggle to handle the high levels of complexity present. A process-based model, called the continuous value enhancement process (CVEP), was developed to systematically generate and evaluate project alternatives leading to high performance solutions that improve project performance and increase levels of sustainability. Developed specifically to address the challenges facing the Pentagon renovation—which will become the world’s largest green office renovation—CVEP is tested to research its ability to support project management decision making in ways that elevate sustainability and project performance. The key contributions of this model include the integration of sustainable objectives into project management practices, and the development of a metric for measuring the quality and focus of project team decisions.     

Integrated Qualitative and Quantitative Methodology to Assess Validity and Credibility of Models for Bridge Maintenance Management System Development

At the heart of a bridge maintenance management system (BMMS) is a set of performance prediction and maintenance decision-making models. If focused on quantitative methods alone, the ultimate validity of these models can only be established through implementation, thus delaying the applicability and acceptability of the models in practice. This is even more important for project management and infrastructure asset management domains, because the results and processes by which they are derived must be accepted by the academic and professional communities so that the new knowledge is quickly added, assimilated, and applied in daily practice. Given the poor state of physical infrastructure in many countries, the importance of improving asset management principles and practices is becoming critical. A comprehensive framework that integrates qualitative and quantitative methodologies for BMMS development is formulated, based on research and development of a BMMS model specific to Hong Kong that includes structured validation, verification, and credibility establishment. Integration of both qualitative and quantitative methods to assess validity and credibility of the models for BMMS development is expected to balance the strengths and weaknesses of each approach and lead to a more robust and reliable methodology with inbuilt credibility-building strategies. Finally, a qualitative case study of the validation methodology for the developed BMMS model shows potential sources of bias. These must be addressed in developing sound practices for applying these techniques so that research results can be more reliable and readily accepted in the field of bridge maintenance management.     

Strategic-Operational Construction Management: Hybrid System Dynamics and Discrete Event Approach

A significant number of large-scale civil infrastructure projects experience cost overruns and schedule delays. To minimize these disastrous consequences, management actions need to be carefully examined at both the strategic and operational levels, as their effectiveness is mainly dependent on how well strategic perspectives and operational details of a project are balanced. However, current construction project management approaches have treated the strategic and operational issues separately, and consequently introduced a potential conflict between strategic and operational analyses. To address this issue, a hybrid simulation model is presented in this paper. This hybrid model combines system dynamics and discrete event simulation which have mainly been utilized to analyze the strategic and operational issues in isolation, respectively. As an application example, a nontypical repetitive earthmoving process is selected and simulated. The simulation results demonstrate that a systematic integration of strategic perspective and operational details is helpful to enhance the process performance by enabling construction managers to identify potential process improvement areas that traditional approaches may miss. Based on the simulation results, it is concluded that the proposed hybrid simulation model has great potential to support both the strategic and operational aspects of construction project management and to ultimately help increase project performance.     

Identifying and Assessing Influence Factors on Improving Waste Management Performance for Building Construction Projects

Environmental sustainability has become one of the key drivers for continuous growth in the construction industry. Many project practitioners face challenging circumstances in finding an effective way to prevent pollution and minimize wastes by making the best use of the increasingly scarce natural resources. However, most of these efforts are focused on planning and/or design strategies; therefore, they fail to thoroughly cover the environmental issues based on the construction execution level. Further, there is a lack of quantitative measurement system and management-level guidance. To overcome these limitations, this paper proposes a new methodology that assists project managers to assess the performance level of a project in terms of waste management practice. This study is based on a two-pronged approach. One is the identification of the waste management influence factors that play an important role in decreasing waste and increasing recycled materials on construction sites. The other is the development of an assessment tool to measure the level of waste management performance for a particular project. As a result of this work, 59 factors were identified and an assessment tool was developed based on quantification of these factors. The tool has been proved to effectively measure waste management performance throughout four real-case validity tests. From the industry perspective, this paper contributes to establishing the environmentally sustainable production systems by providing the project stakeholders with an established set of influence factors and with a diagnosis tool for measuring their current performance. Additionally, project owners can use the output of the tool, especially the total index score, as a measure to benchmark the level of waste management for continuous improvement.     

Reducing Variability to Improve Performance as a Lean Construction Principle

Variability is common on construction projects and must be managed effectively. New management thinking, like that of lean production, has suggested that better labor and cost performance can be achieved by reducing output variability. Efforts to utilize lean thinking in construction, so far, have generated limited evidence to support this claim. This paper investigates the relationship between variability and project performance to test the notion that reducing output variability will result in improved labor performance. Using productivity data from concrete formwork activities on multiple projects, various measures of output variability are tested against construction performance. It is shown that variability in output is inevitable and that there is little correlation between output variability and project performance, but that variability in labor productivity is closely correlated to project performance. It is concluded that lean improvement initiatives should be redirected to adaptable workforce management capabilities to reduce variability in labor productivity instead of output in order to improve project performance.