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| List of figures | |
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| List of tables | |
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| Preface | |
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| Acknowledgements | |
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| Introduction | |
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| Introducing the concept of SHE information systems | |
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| Model of a SHE information system | |
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| Human information-processing analogy | |
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| What does research tell us about the effects of SHE information systems? | |
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| Developing the model further | |
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| Boundary conditions | |
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| Conditions inside the company | |
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| Size, type of technology and resources | |
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| The organisational context | |
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| The outer context | |
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| The employer's responsibilities | |
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| Regulations on record keeping and on the reporting of injuries and incidents to the authorities | |
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| Workers' compensation systems | |
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| International standards and guidelines | |
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| Other non-governmental organisations | |
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| Alternative accident-prevention approaches | |
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| Barriers against hazards | |
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| Administrative system for feedback control | |
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| Arenas for organisational learning | |
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| Risk homeostasis | |
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| Case study: Reducing emissions to the air from a fertiliser plant | |
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| Theoretical foundation | |
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| Accident models | |
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| On the need for accident models | |
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| Causal-sequence models | |
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| Process models | |
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| Energy model | |
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| Logical tree models | |
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| Human information-processing models | |
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| Moving the perspective to the organisational context | |
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| SHE management models | |
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| The SHE culture | |
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| Framework for accident analysis | |
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| Characteristics of the accident sequence | |
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| Consequences of accidents | |
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| Types of consequences | |
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| Consequence measures | |
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| Economic consequences of accidents | |
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| Actual versus potential losses | |
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| Incident (uncontrolled energy flow) | |
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| Deviations | |
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| Heinrich's classical man-environment taxonomy | |
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| Ergonomics and industrial-engineering systems views | |
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| Contributing factors and root causes | |
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| Contributing factors at the functional department and work-system levels | |
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| Root causes at the general and SHE-management-systems levels | |
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| Problems in identifying causal factors | |
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| Accident counter-measures | |
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| Barriers against losses | |
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| Prevention of occupational accidents | |
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| Prevention of major accidents due to fires and explosions | |
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| Active and passive barriers | |
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| Different time frames in the implementation and maintenance of barriers | |
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| The role of experience transfer | |
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| Designing for safety of machinery | |
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| Safety measures in operation | |
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| The permit-to-work system | |
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| The human element in accident control | |
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| Human information processing | |
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| Human errors | |
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| Definition | |
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| Human-error taxonomies | |
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| Error recovery | |
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| The influence of emotion | |
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| Preventing human errors and promoting error recovery | |
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| The role of the operators in major-accident prevention | |
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| Unscheduled manual interventions | |
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| Fallacy of the defences-in-depth philosophy | |
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| High-reliability organisations | |
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| The occurrence of accidents over time | |
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| Feedback and use of experiences in decision-making | |
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| Overview of feedback mechanisms | |
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| Uses of SHE-related information in decision-making | |
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| The diagnostic process | |
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| Effects of limitations in human information-processing capacity | |
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| Hale's problem-solving cycle | |
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| Deming's circle | |
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| Persistent feedback control | |
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| Ashby's law of requisite variety | |
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| Van Court Hare's hierarchy of order of feedback | |
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| Obstacles to an efficient learning from experience | |
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| Organisational defences | |
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| Local information and the SHE information system | |
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| Culpability and liability | |
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| A balanced approach | |
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| Requirements for a SHE information system | |
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| Requirements for SHE performance indicators | |
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| Requirements for the SHE information system as a whole | |
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| Data collection | |
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| Distribution and presentation of information | |
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| The SHE information system as a whole | |
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| Learning from incidents and deviations | |
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| Sources of data on accident risks | |
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| The ideal scope of different data-collection methods | |
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| Filters and barriers in data collection | |
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| Accident and near-accident reporting and investigation | |
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| Why report and investigate accidents and near accidents? | |
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| Investigations at three levels | |
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| Reporting | |
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| Reporting to the authorities | |
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| Problems of under-reporting | |
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| Near-accident reporting | |
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| Immediate investigation and follow-up | |
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| Quality of the supervisor's first report | |
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| Use of checklists and reporting forms | |
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| Displaying the sequence of events | |
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| Computer-supported accident investigations | |
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| Registration of accident costs | |
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| Group problem-solving | |
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| In-depth accident and near-accident investigations | |
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| The steps in an in-depth investigation | |
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| Applying SMORT in in-depth investigations | |
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| Legal aspects of the commission's report | |
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| Computer-supported distribution of the investigation report | |
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| A procedure for accident and near-accident reporting and investigation | |
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| SHE inspections and audits | |
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| Inspections | |
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| Workplace inspections | |
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| Inspecting and testing barrier integrity | |
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| SHE audits | |
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| Application of SMORT in audits | |
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| Accumulated accident experience | |
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| Database on accidents and near accidents | |
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| Database definition | |
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| Accessing the database | |
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| Coding of accident and near-accident data | |
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| Analysis of accident and near-accident data | |
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| Finding accident repeaters | |
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| Uni- and bi-variate distribution analyses | |
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| Accident-concentration analysis | |
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| Analysis of accident causes | |
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| Severity-distribution analysis | |
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| Extreme-value projection | |
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| Experience carriers | |
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| Monitoring of SHE performance | |
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| Overview of SHE performance indicators | |
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| Loss-based SHE performance indicators | |
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| The lost-time injury frequency rate | |
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| The control chart | |
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| The problems of SHE performance measurement | |
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| Zero-goal mindset | |
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| Other loss-based SHE performance indicators | |
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| Measures of risk | |
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| Standard loss-based SHE performance indicators | |
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| Untraditional SHE performance indicators | |
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| Process-based SHE performance indicators | |
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| SHE performance indicators based on near-accident reporting | |
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| Behavioural sampling | |
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| Causal factor-based SHE performance indicators | |
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| Rating the elements of a company's SHE management system | |
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| International Safety Rating System (ISRS) | |
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| Self-rating as a means of improving SHE management | |
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| Tripod Delta | |
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| Measurement of safety climate | |
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| Measuring the degree of learning from incidents | |
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| Selecting key SHE performance indicators | |
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| Combinations of SHE performance indicators | |
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| Indicators of barrier availability | |
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| Risk analysis | |
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| The risk-analysis process | |
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| What is risk analysis? | |
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| Acceptance criteria for the risk of losses due to accidents | |
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| Methods of risk analysis | |
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| Coarse or energy analysis | |
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| Planning | |
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| Execution and documentation | |
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| Identification of hazards and causes | |
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| Risk estimation | |
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| Development of safety measures | |
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| Documentation and follow-up of results | |
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| Establishing a database on potential accidents | |
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| Detailed job-safety analysis | |
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| Analysis object | |
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| Resource needs and scheduling | |
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| Description of the steps of the job | |
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| Subsequent steps | |
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| Accidental exposure to chemicals | |
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| Systematic mapping of hazards within an organisation | |
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| Risk assessments of machinery | |
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| Requirements as to risk assessments | |
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| Method for risk assessment | |
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| Determination of the limits of the machinery (Step 1) | |
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| Coarse risk assessment (Step 2) | |
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| Detailed risk assessment of the machinery (Step 3) | |
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| Comparison risk analysis | |
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| Acceptance criteria for the risk of occupational accidents | |
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| Risk-assessment model | |
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| Assumptions | |
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| The steps of the analysis | |
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| Criop | |
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| Putting the pieces together | |
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| The oil and gas industry | |
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| Accidents in offshore oil and gas production | |
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| The Ymer Platform | |
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| Design | |
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| Organisation and manning | |
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| Prevention of accidents in design | |
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| The phase model for offshore field exploration and development | |
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| SHE management principles | |
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| Prevention of major accidents | |
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| Prevention of occupational accidents | |
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| Construction-site safety | |
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| SHE management principles | |
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| Step 1: Pre-qualification | |
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| Step 2: Tender evaluation and clarification, contract award | |
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| Step 3: Evaluation of the SHE programmes | |
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| Step 4: Follow-up during construction | |
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| Safety during plant operation | |
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| SHE management principles | |
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| Policy and goals | |
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| Implementation | |
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| Control and verification | |
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| The trucking industry | |
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| Accidents in road transportation | |
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| Measures of the risk of traffic accidents | |
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| The man-vehicle-road-environment model | |
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| The driver | |
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| The vehicle | |
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| The traffic environment | |
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| Sources of information on traffic-accident risks | |
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| Feedback mechanisms | |
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| The trucking company | |
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| The truck manufacturer | |
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| The roads administration | |
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| Improving the corporate SHE information system | |
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| The improvement process | |
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| Evaluation of existing conditions | |
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| Establishing goals and defining user needs | |
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| Developing solutions and following up results | |
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| Design of the system | |
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| Database definition | |
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| Organisation and routines | |
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| Personnel | |
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| Instruments and tools | |
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| Epilogue | |
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| Definitions | |
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| SMORT questionnaire | |
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| Bibliography | |
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| Name index | |
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| Subject index | |