1993Medical Entomology and ZoologyRequires access

Risk Management and Construction

Roger Flanagan

Open publisher page 646 citations

Abstract

List of figures List of tables Forward Introduction The aim of the book Part 1 -- Putting risk into perspective: Introduction Risk and reward go hand in hand Risk and contruction Risk -- another four letter word AGAP (All goes according to plan) and WHIF (What happens if) The people, the process and the risks Clients of the industry Have clientsa needs changed? Privately financed infrastructure projects What do clients want? Investment in property Consultatns and risk Contracting and risk Part II The background to risk and uncertainty: Introduction Defining risk and uncertainty The uncertainty of life and construction projects Dynamic and static risk A threat and a challenge Some fo ther basic rules for risk taking Risk a Place your waterline lowa The risky shift phenomenon -- what happens when groups make decisions The risk of not risking Risk styles Removing ignorance -- and risk Probability Converting uncertainty to risk Decision--making in the construction industry Intuition Bias and intuition Experts and experience Rules of thumb Making a model Reacting to information Looking at the past to forecast the future Types of information Building a decision model to solve a problem Part III The risk management system: Introduction Developing a risk management framework Risk identification Sources of risk Dependent and independent risk Risk classification Types of risk Impact of risk The risk hierarchy Risk and the general environment The market/industry risk The company risk Project risk and individual risk Consequence of risk Risk reponse Risk retention Risk reduction Risk transfer Risk avoidance Risk attitude Summarising risk management Risk management Part IV Some of the tools and techniques of risk management: Introduction Seeing the big picutre and tthe detail Decision--making techniques The risk premium Risk--adjusted discount rate Subjective probabilities Decision analysis Algorithms Means--end chain Decision matrix Strategy Decision trees Bayesian theory Stochastic decision tree analysis Multi--attribute value theory Specify the utility function Case study Summary Sensitivity analysis Spiider Diagram Monte Carlo simulation Portofolio theory The aplication of portfolio analysis in the construction industry Stochastic dominance Cumulative distributions of illustrative portfolios Conclusion Part V Utility and risk attitude: Introduction Risk exposure Utility theory Expected monetary value Payoff matrix The utility function General types of characteristics of utility functions The difference between EUV and EMV in practice The use of utility theory in construction Basic principle for the aplication of the theory Part VI Risks and the construction project -- money, time and technical risks: Introduction Money and delivery sequence Investment and development sequence Cost considerations Operational/revenue considerations The influence of taxation Value considerations Design and construction sequence Time delivery sequence Contractors and specialist contractors Technical delivery sequence A case study of the technical risks faced by the building surveyor Part VII Sensitivity analysis, breakeven analysis, and scenario analysis: Sensitivity analysis Breakeven analysis Scenario analysis Sensitivity analysis -- an application to life cycle costing Part VIII Risk analysis using Monte Carlo simulation: Probability analysis -- extending the sesitivity technique How it works Using Monte Carlo simulation in the cost planning of a building Estimating and price prediction an overview of current practice Cost planning and risk analysis Interdependence of items Risk analysis using probabilities Risk analysis using Monte Carlo simulation Considering some probability distributions Comon distriubtion types Uniform distribution Triangular distribution Normal distribution A step by step approach to Monte Carlo simulation Using Monte Carlo simulation on a live project The result Questions and Answers Part IX Constracts and risk: Disagreement and conflict The purpose of the contract The fundamental risks -- liability and responsibility Transferring and allocating the risk in the contracts The principles of control -- the theory The contractual links Risk avoidance by warrannties and collateral warranties The types of contract Contracts and risk tactics Part X A case study of an oil platform: A practical application of resourced schedule risk analysis Background The model Comparison with deterministic plan Data Weather Project variables Processing of data Confidence in the data Initial results Conclusion References and bibliography Index

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List of figures List of tables Forward Introduction The aim of the book Part 1 -- Putting risk into perspective: Introduction Risk and reward go hand in hand Risk and contruction Risk -- another four letter word AGAP (All goes according to plan) and WHIF (What happens if) The people, the process and the risks Clients of the industry Have clientsa needs changed? Privately financed infrastructure projects What do clients want? Investment in property Consultatns and risk Contracting and risk Part II The background to risk and uncertainty: Introduction Defining risk and uncertainty The uncertainty of life and construction projects Dynamic and static risk A threat and a challenge Some fo ther basic rules for risk taking Risk a Place your waterline lowa The risky shift phenomenon -- what happens when groups make decisions The risk of not risking Risk styles Removing ignorance -- and risk Probability Converting uncertainty to risk Decision--making in the construction industry Intuition Bias and intuition Experts and experience Rules of thumb Making a model Reacting to information Looking at the past to forecast the future Types of information Building a decision model to solve a problem Part III The risk management system: Introduction Developing a risk management framework Risk identification Sources of risk Dependent and independent risk Risk classification Types of risk Impact of risk The risk hierarchy Risk and the general environment The market/industry risk The company risk Project risk and individual risk Consequence of risk Risk reponse Risk retention Risk reduction Risk transfer Risk avoidance Risk attitude Summarising risk management Risk management Part IV Some of the tools and techniques of risk management: Introduction Seeing the big picutre and tthe detail Decision--making techniques The risk premium Risk--adjusted discount rate Subjective probabilities Decision analysis Algorithms Means--end chain Decision matrix Strategy Decision trees Bayesian theory Stochastic decision tree analysis Multi--attribute value theory Specify the utility function Case study Summary Sensitivity analysis Spiider Diagram Monte Carlo simulation Portofolio theory The aplication of portfolio analysis in the construction industry Stochastic dominance Cumulative distributions of illustrative portfolios Conclusion Part V Utility and risk attitude: Introduction Risk exposure Utility theory Expected monetary value Payoff matrix The utility function General types of characteristics of utility functions The difference between EUV and EMV in practice The use of utility theory in construction Basic principle for the aplication of the theory Part VI Risks and the construction project -- money, time and technical risks: Introduction Money and delivery sequence Investment and development sequence Cost considerations Operational/revenue considerations The influence of taxation Value considerations Design and construction sequence Time delivery sequence Contractors and specialist contractors Technical delivery sequence A case study of the technical risks faced by the building surveyor Part VII Sensitivity analysis, breakeven analysis, and scenario analysis: Sensitivity analysis Breakeven analysis Scenario analysis Sensitivity analysis -- an application to life cycle costing Part VIII Risk analysis using Monte Carlo simulation: Probability analysis -- extending the sesitivity technique How it works Using Monte Carlo simulation in the cost planning of a building Estimating and price prediction an overview of current practice Cost planning and risk analysis Interdependence of items Risk analysis using probabilities Risk analysis using Monte Carlo simulation Considering some probability distributions Comon distriubtion types Uniform distribution Triangular distribution Normal distribution A step by step approach to Monte Carlo simulation Using Monte Carlo simulation on a live project The result Questions and Answers Part IX Constracts and risk: Disagreement and conflict The purpose of the contract The fundamental risks -- liability and responsibility Transferring and allocating the risk in the contracts The principles of control -- the theory The contractual links Risk avoidance by warrannties and collateral warranties The types of contract Contracts and risk tactics Part X A case study of an oil platform: A practical application of resourced schedule risk analysis Background The model Comparison with deterministic plan Data Weather Project variables Processing of data Confidence in the data Initial results Conclusion References and bibliography Index

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List of figures List of tables Forward Introduction The aim of the book Part 1 -- Putting risk into perspective: Introduction Risk and reward go hand in hand Risk and contruction Risk -- another four letter word AGAP (All goes according to plan) and WHIF (What happens if) The people, the process and the risks Clients of the industry Have clientsa needs changed? Privately financed infrastructure projects What do clients want? Investment in property Consultatns and risk Contracting and risk Part II The background to risk and uncertainty: Introduction Defining risk and uncertainty The uncertainty of life and construction projects Dynamic and static risk A threat and a challenge Some fo ther basic rules for risk taking Risk a Place your waterline lowa The risky shift phenomenon -- what happens when groups make decisions The risk of not risking Risk styles Removing ignorance -- and risk Probability Converting uncertainty to risk Decision--making in the construction industry Intuition Bias and intuition Experts and experience Rules of thumb Making a model Reacting to information Looking at the past to forecast the future Types of information Building a decision model to solve a problem Part III The risk management system: Introduction Developing a risk management framework Risk identification Sources of risk Dependent and independent risk Risk classification Types of risk Impact of risk The risk hierarchy Risk and the general environment The market/industry risk The company risk Project risk and individual risk Consequence of risk Risk reponse Risk retention Risk reduction Risk transfer Risk avoidance Risk attitude Summarising risk management Risk management Part IV Some of the tools and techniques of risk management: Introduction Seeing the big picutre and tthe detail Decision--making techniques The risk premium Risk--adjusted discount rate Subjective probabilities Decision analysis Algorithms Means--end chain Decision matrix Strategy Decision trees Bayesian theory Stochastic decision tree analysis Multi--attribute value theory Specify the utility function Case study Summary Sensitivity analysis Spiider Diagram Monte Carlo simulation Portofolio theory The aplication of portfolio analysis in the construction industry Stochastic dominance Cumulative distributions of illustrative portfolios Conclusion Part V Utility and risk attitude: Introduction Risk exposure Utility theory Expected monetary value Payoff matrix The utility function General types of characteristics of utility functions The difference between EUV and EMV in practice The use of utility theory in construction Basic principle for the aplication of the theory Part VI Risks and the construction project -- money, time and technical risks: Introduction Money and delivery sequence Investment and development sequence Cost considerations Operational/revenue considerations The influence of taxation Value considerations Design and construction sequence Time delivery sequence Contractors and specialist contractors Technical delivery sequence A case study of the technical risks faced by the building surveyor Part VII Sensitivity analysis, breakeven analysis, and scenario analysis: Sensitivity analysis Breakeven analysis Scenario analysis Sensitivity analysis -- an application to life cycle costing Part VIII Risk analysis using Monte Carlo simulation: Probability analysis -- extending the sesitivity technique How it works Using Monte Carlo simulation in the cost planning of a building Estimating and price prediction an overview of current practice Cost planning and risk analysis Interdependence of items Risk analysis using probabilities Risk analysis using Monte Carlo simulation Considering some probability distributions Comon distriubtion types Uniform distribution Triangular distribution Normal distribution A step by step approach to Monte Carlo simulation Using Monte Carlo simulation on a live project The result Questions and Answers Part IX Constracts and risk: Disagreement and conflict The purpose of the contract The fundamental risks -- liability and responsibility Transferring and allocating the risk in the contracts The principles of control -- the theory The contractual links Risk avoidance by warrannties and collateral warranties The types of contract Contracts and risk tactics Part X A case study of an oil platform: A practical application of resourced schedule risk analysis Background The model Comparison with deterministic plan Data Weather Project variables Processing of data Confidence in the data Initial results Conclusion References and bibliography Index

Key concepts: Risk management, Factor analysis of information risk, IT risk management, Risk analysis (engineering), Financial risk management, IT risk, Risk management plan, Enterprise risk management

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