
Managing Risk in Construction Projects
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Content
Preface ix
Author's Biographies xi
Acknowledgements xiii
1 Projects and Risk 1
1.1 Construction projects 1
1.2 Decision making 2
1.3 Risk management strategy 4
1.4 Project planning 5
1.5 Summary 6
2 The Project Environment 8
2.1 Projects 8
2.2 The project constitution 9
2.3 Project organisation 11
2.4 Project phases 13
2.5 Effect of project phase on risk 16
2.6 Project appraisal 17
2.7 Summary 19
3 Understanding the Human Aspects 21
3.1 Risk management - context 21
3.2 Risk management - organisations 22
3.3 The risk management process 23
3.4 Some guidelines to the risk management process 24
3.5 The risk workshop 26
3.6 Communication 29
3.7 Summary 30
Reference 30
4 Qualitative Methods and Soft Systems Methodology 31
4.1 Qualitative risk assessment 31
4.2 Review of project programmes and budgets 32
4.3 The risk log 33
4.4 Using a risk log to formulate risk management strategy 35
4.5 Qualitative methods 37
4.6 Soft systems methodology 38
4.7 Case study: SSM in use in the procurement of construction projects 40
4.8 Summary 48
5 Risk and Value Management 49
5.1 Introduction 49
5.2 Approaches to the management of risk 50
5.3 The standard risk management model 52
5.4 Applying risk and value management 53
5.5 Value management processes 55
5.6 Understanding the project risk 56
5.7 Applying value and risk management 62
5.8 Iteration of the process 65
5.9 Summary 66
References 66
6 Quantitative Methods for Risk Analysis 67
6.1 Sanction 67
6.2 Project appraisal and selection 69
6.3 Project evaluation 71
6.4 Engineering risks 72
6.5 Risk management 75
6.6 Probabilistic analysis 76
6.7 Response to risks 79
6.8 Successful risk management 80
6.9 Principles of contingency fund estimation 81
Appendix 6.A: Alternative methods of risk analysis 82
7 The Contribution of Information Technology to Risk Modelling and Simulation 87
7.1 Purpose of RMS 88
7.2 When to use RMS 88
7.3 Requirements of the analyst 90
7.4 Modelling and simulation 90
7.5 Modelling using RMS 91
7.6 Data management 92
7.7 Analytical mechanisms 93
7.8 Classification of RMS 94
7.9 Selection of RMS 95
7.10 Modelling a project for risk management 96
7.11 Data requirements for realistic modelling 98
7.12 Choice of variable distribution 100
7.13 Case study 101
7.14 Case study simulations 107
7.15 Analysis of the result 109
7.16 Discussion of findings 115
7.17 Summary 115
8 Risk Allocation in the Contracting and Procurement Cycle 117
8.1 Typical contracting and procurement processes 117
8.2 Value planning case study 121
8.3 Known and unknown risks in contracts 123
8.4 Risk allocation strategies 125
8.5 Risk allocation according to payment mechanism 135
8.6 Contract award 138
8.7 Summary 140
Reference 141
9 Managing Financial Risks in Major Construction and PFI / PPP Projects 142
9.1 Project financing 142
9.2 Types of finance 143
9.3 Appraisal and validity of financing projects 148
9.4 Typical financial risks 151
9.5 Promoter 152
9.6 Financial risk in concession contracts 153
9.7 Global and elemental risks in concession contracts 155
9.8 Summary 160
10 Risks in International Construction Project Joint Ventures 161
10.1 Background 161
10.2 Concept of joint venture 162
10.3 Motives for joint venture formation 162
10.4 Assessing joint venture success 163
10.5 Case study 165
10.6 Summary 169
Acknowledgement 169
References 169
11 Risk Management at Corporate, Strategic Business Unit and Project Levels 171
11.1 Risk in organisations 171
11.2 Risk management 173
11.3 The risk management process 173
11.4 Benefits of risk management 174
11.5 Recognising risks 175
11.6 Why risk management is used 176
11.7 Risk management actions at different levels 177
11.8 Summary 182
References 183
12 Case Studies 184
12.1 Introduction 184
12.2 Heavy lift vessel design and fabrication programme risk assessment 185
12.3 Risk identification 186
12.4 High Speed 1 189
12.5 Brief history of HS1 190
12.6 The risk management process 193
12.7 Risk assessment, analysis and response 198
12.8 Summary of the preliminary schedule risk analysis results 205
13 Risk Management in a Multi-Project Environment 209
13.1 Introduction 209
13.2 Drivers for the multi-project approach to project delivery 209
13.3 A conceptual model of the multi-project environment 211
13.4 Risks that are unique to or amplified in multi-project environments 213
13.5 The change in mindset required to manage risk in multi-project environments 214
13.6 Summary 217
References 217
Further reading 217
14 Key Issues and Guidance in Practical Risk Management 218
14.1 Decision making 218
14.2 Preparation for risk management 219
14.3 Risk management process 220
14.4 Models 224
14.5 Uncertainty 226
14.6 Socio-technical approach to risk 226
14.7 Summary 228
References 229
Index 231
Chapter 1
Projects and Risk
This book seeks to explain the nature of risk management and also to clarify the practical procedures for undertaking and utilising decisions. Risk management is beset by a dark cloak of technology, definitions and methodologies, often maintained by analysts and specialist consultants, which contributes to the unnecessary mystique and lack of understanding of the approach.
This book offers for the first time—in the opinion of the authors—the distilled knowledge of over a hundred man-years of project experience in working on aspects of project risk management and contains information which most of us would have liked to have had—had it been available and collated. To all students and practitioners using this book, follow known procedures as outlined in the book, avoid short-cuts and remember to keep records of everything you model, simulate or assume.
This chapter discusses a number of general concepts including projects, project phases and risk attitude before introducing a number of risk management strategies. The book concludes with some brief references to project planning.
1.1 Construction projects
Change is inherent in construction work. For years, industry has had a very poor reputation for coping with the adverse effects of change, with many projects failing to meet deadlines and cost and quality targets. This is not too surprising considering that there are no known perfect engineers, anymore than there are perfect designs or that the forces of nature behave in a perfectly predictable way. Change cannot be eliminated, but by applying the principles of risk management, engineers are able to improve the effective management of this change.
Change is normally regarded in terms of its adverse effects on project cost estimates and programmes. In extreme cases, the risk of these time and cost overruns can invalidate the economic case for a project, turning a potentially profitable investment into a loss-making venture. A risk event implies that there is a range of outcomes for that event which could be both more and less favourable than the most likely outcome, and that each outcome within the range has a probability of occurrence. The accumulation or combinations of risks can be termed project risk. This will usually be calculated using a simulation model (see Chapter 7). It is important to try to identify all the potential risks to the project even if they are not strictly events or a calculation of project risk. It is not possible to identify all risks and even at the end of a project you will only know the risks that actually occurred. However, risk management is concerned with identifying as many as is practicable of the sources and causes of risk because if a risk is not identified it cannot be considered in any part of the risk management process.
In construction projects each of the three primary targets of cost, time and quality will be likely to be subject to risk and uncertainty. It follows that a realistic estimate is one which makes appropriate allowances for all those risks and uncertainties which can be anticipated from experience and foresight. Project managers should undertake or propose actions which eliminate the risks before they occur, or reduce the effects of risk or uncertainty and make provision for them if they occur when this is possible and cost effective. It is vital to recognise the root causes of risks, and not to consider risks as events that occur almost at random. Risks can frequently be avoided if their root causes are identified and managed before the adverse consequence—the risk event—occurs. They should also ensure that the remaining risks are allocated to the parties in a manner which is likely to optimise project performance.
To achieve these aims it is suggested that a systematic approach is followed: to identify the risk sources; to quantify their effects (risk assessment and analysis); to develop management responses to risk; and finally to provide for residual risk in the project estimates. These four stages comprise the core of the process of risk management. Risk management can be one of the most creative tasks of project management.
The benefits of risk management can be summarised as follows:
- project issues are clarified, understood and considered from the start;
- decisions are supported by thorough analysis;
- the definition and structure of the project are continually monitored;
- clearer understanding of specific risks associated with a project;
- build-up of historical data to assist future risk management procedures.
1.2 Decision making
Risk management is a particular form of decision making within project management, which is itself the topic of many textbooks and papers. Risk management is not about predicting the future. It is about understanding your project and making a better decision with regard to the management of your project, tomorrow. Sometimes that decision may be to abandon the project. If that is the correct outcome saving various parties from wasting time, money and skilled human resources, then the need for a rational, repeatable, justifiable risk methodology and risk interpretation is paramount. Nevertheless, the precise boundaries between decision making and the aspects of other problem-solving methodologies have always been difficult to establish.
In essence, decisions are made against a predetermined set of objectives, rules and/or priorities based upon knowledge, data and information relevant to the issue although too often this is not the case. Frequently decisions are ill-founded, not based on a logical assessment of project-specific criteria and lead to difficulties later. It is not always possible to have conditions of total certainty; indeed in risk management it is most likely that a considerable amount of uncertainty about the construction project exists at this stage.
The terms risk and uncertainty can be used in different ways. The word risk originated from the French word risqué, and began to appear in England, in its anglicised form, around 1830, when it was used in insurance transactions. Risk can be, and has been, defined in many ways and assessed in terms of fatalities and injuries, in terms of probability of reliability, in terms of a sample of a population or in terms of the likely effects on a project. All these methodologies are valid and particular industries or sectors have chosen to adopt particular measures as their standard approach. As this book concentrates on engineering projects, risk is defined in the project context, and broadly follows the guidelines and terminology adopted by the British Standard on Project Management BS 6079, The Association for Project Management Body of Knowledge, The Association for Project Management Project Risk Analysis and Management Guide, the Institution of Civil Engineers and the Faculty of Actuaries Risk Analysis and Management for Projects Guide and the HM Treasury, Central Unit on Procurement Guide on Risk Assessment.
A number of authors state that uncertainty should be considered as separate from risk because the two terms are distinctly different. Uncertainty can be regarded as the chance occurrence of some event where the probability distribution is genuinely not known. This means that uncertainty relates to the occurrence of an event about which little is known, except the fact that it may occur. Those who distinguish uncertainty from risk define risk as being where the outcome of an event, or each set of possible outcomes, can be predicted on the basis of statistical probability. This understanding of risk implies that there is some knowledge about a risk as a discrete event or a combination of circumstances, as opposed to an uncertainty about which there is no knowledge. In most cases, project risks can be identified from experience gained by working on similar projects.
Risks fall into three categories; namely known risks, known unknowns and unknown unknowns. Known risks include minor variations in productivity and swings in material costs. These occur frequently and are an inevitable feature of all construction projects. Known unknowns are the risk events whose occurrence is predictable or foreseeable. Either their probability of occurrence or their likely effect is known. Unknown unknowns are those events whose probabilities of occurrence and effect are not foreseeable by even the most experienced staff. These are usually considered as force majeure. Some texts classify risks as ‘epistemic’ and ‘aleoteric’; epistemic risks being those due to a lack of knowledge and aleoteric risks being due to natural variability. Unknown unknowns are clearly epistemic.
In some situations the term risk does not necessarily refer to the chance of bad consequences, it can also refer to the possibility of good consequences; therefore, it is important that a definition of risk must include some reference to this point. Risk and uncertainty have been defined as:
- risk exists when a decision is expressed in terms of a range of possible outcomes and when known probabilities can be attached to the outcomes;
- uncertainty exists when there is more than one possible outcome of a course of action but the probability of each outcome is not known (frequently termed estimating uncertainty).
A particular type of decision making is needed in risk management. Consider Figure 1.1 which compares the probability of occurrence of an event compared with its impact on the construction project. Events with a low impact are not serious and can be divided into the elements of trivial and expected. For the high...
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