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Controlling accidents and insurers' risks in construction : a fuzzy knowledge-based approach / Imriyas Kamardeen.

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Format:
Book
Author/Creator:
Kamardeen, Imriyas.
Language:
English
Subjects (All):
Construction industry--Insurance.
Construction industry.
Construction industry--Risk management.
Construction industry--Accidents.
Physical Description:
1 online resource (231 p.)
Edition:
1st ed.
Place of Publication:
New York : Nova Science Publishers, c2009.
Language Note:
English
Summary:
There has been a greater concern globally as to how to minimise construction accidents and their consequences on construction workers, contractors, clients, design and project management consultants, and insurance companies. This book introduces new strategies and models that will facilitate readers in the construction and insurance industries in revamping their existing practices towards minimising accidents, improving profitability, and alleviating liabilities. This is a research-based book and chapters in the book are grounded on recent research and best practices. They demonstrate how innovative insurance and construction companies can exploit contemporary research to drive the re-structuring of poor practices that compromise their business sustainability. With diverse audiences in mind, the chapters are written in clear and easy-to-follow styles. The CD enclosed with the book contains the prototype of the KBS that the book discusses. Readers will appreciate this useful appendix of the book that underpins the practical implementation of new theories.
Contents:
Intro
CONTROLLING ACCIDENTSAND INSURERS' RISKSIN CONSTRUCTION: A FUZZYKNOWLEDGE-BASED APPROACH
Contents
Preface
Acknowledgments
Abbreviations
Introduction
The Global Trend of OHSin the Construction Industry
The Drive towards Re-engineering Workers'Compensation Insurancefor Improving Safety in Construction
Leveraging by IT
Focus of the Book
Structure of the Book
Workers' CompensationInsurance in Construction
Origin of Workers' Compensation System
Workers' Compensation System
Costs Recovered under the Workers' Compensation System
1. Medical Expenses
2. Temporary Incapacity
3. Permanent Incapacity
4. Dependants Death Benefits
5. Compensation for Occupational Diseases
Workers' Compensation Insurance (WCI)
Premium Rating Methods for WCI
Experience Modification Rating (EMR) Approachfor Premium Rating
Manual Rate
Payroll Unit
Experience Modification Rate (EMR)
Example of WCI Premium Calculation
Computing the EMR
Computing the WCI Premium
Shortcomings of the EMR Approach
Ad-hoc Methods for Premium Rating
Drawbacks of the System
Conclusion
Critical Factors for Premium Ratingof Workers' Compensation Insurancein Construction
Premium Rating Variables for Construction WCI
Predicting Future Claims in Construction WCI
Determining the Mark-up for Construction WCI
Research Methodology
Profile of Respondents
Data Analysis and Discussion
Important Variables for Premium Rating
Wage Roll
Project Hazard Level
Effectiveness of the Safety Management System on Site
Contractor's Claims History
Competition
Corporate Objectives of the Insurer
Overhead Costs of Insurance
Investment Income from Underwritten Premiums
Less Important Variables for Premium Rating.
Profit/loss Experience in WCI Business
Reinsurance Cost
Amount of Outstanding Claims to the Insurer
Project Duration
Placement of Multiple Policies by the Contractor
Cooperation by the Contractor
Volume of Business in the Market
Unimportant Variables for Premium Rating
Expectation of Potential Business from the Contractor
Contractor's Size
Summary of Survey Findings
Risk Control Strategies for Insurance Companies
Health insurance
Motor Insurance
No Claims Discount (NCD)
Incentive for Clean Driving Records
Loyalty Rebate
Insights for Construction WCI
Assessing Hazards and Safetyin Building Construction Projects
Nature of Occupational Injuries in Construction
Estimating Accident Risks in Construction
Hazards in Building Construction Projects
Demolition Hazards
Excavation Hazards
Scaffolding and Ladder Hazards
False Work Hazards
Roof Work Hazards
Hazards in Erecting Structural Frameworks
Crane Hazards
Construction Machinery and Tools Hazards
Hazards on Contaminated Sites
Welding and Cutting Work Hazards
Hazards in Confined Spaces
Assessing Hazard Intensity in Building Projects
Safety Performance MeasurementMethod for WCI
Essentials of Project Safety Systems
Safety Performance Assessment Protocol
New Premium Rating Modelfor Workers' Compensation Insurancein Building Construction
Proposed Model for WCI Premium Ratingof Building Construction Projects
Computing the Risk Fee
1. Wage Roll
2. Project Hazard Index (PHI)
3. Project Safety Index (PSI)
Computing the Mark-up
Computing the CCIContractor and the SMDClient
Advantages of the Proposed New Model
Fuzzy Inference SystemDevelopment Methodologies
Classical Set Theory.
Limitations of Classical Set Theory
Fuzzy Sets
Fuzzy Membership Functions
Types of Membership Functions
Basic Operations of Fuzzy Sets
Linguistic Variables
Fuzzy Logic and Approximate Reasoning
Fuzzy Inference Systems
Fuzzy Inference Systems Development Cycle
Defining System Functional and Operational Characteristics
Case Example
Defining Fuzzy Sets for System Variables
Case Example (Cont'd)
Defining the Fuzzy Rule Base
IRC Approach
URC Approach
Defining Inference and Defuzzification Methods
System Coding
System Tuning and Verification
Fuzzy Knowledge Based SystemModelling for WCI Premium Rating
Fuzzy KBS Architecture for WCI Premium Rating
Graphical User Interface (GUI)
System Database
Intermediate Processing Unit (IPU)
Fuzzy Inference Engine and Fuzzy Knowledge Base
Knowledge Acquisition and Representation
Past Claims Data Analysis
Designing the Fuzzy Risk Rate Model
Interview Survey and Analysis
1. Overhead Costs of Insurance
2. Investment Income from Underwritten Premiums
3. Competition
4. Corporate Objectives of the Insurer
5. Contractor's Claims History
Designing the Fuzzy Mark-up Model
Inference Mechanism in the Fuzzy KBS
Computing PHI
Computing PSI
Computing PSOscore
Computing RAMscore
Computing SWPscore
Computing STCscore
Computing SIscore
Computing SMTscore
Computing SMscore
Computing EMscore
Fuzzy Inference for Risk Rate and Mark-up
Making the Prototype of the Fuzzy KBS
Developing the IPU and the System Database
Developing the Fuzzy Inference Subsystem
Defining the Fuzzy Inference Subsystem
Membership Functions Development
Rule Base Development
Developing the GUI
Verification of the Fuzzy KBS
Turing Test for the Fuzzy KBS.
Workflow Model for the Fuzzy KBS
Concluding Notes
Summary
Research Findings
Comparison of Research Findingswith the Previous Technique
Practical Implications for Industries
Implications for the Construction Industry
Implications for the Insurance Industry
Implications for others
Bottleneck for Implementation
Knowledge Contributions
Future Directions
Appendix 1: Survey Kit
Appendix 1.1: Interview QuestionnaireSurvey Form
Factors Influencing Workers' Compensation Insurance Premiumsfor Building Construction Projects
General Information
A. Respondent's Particulars
B. Workers' Compensation Insurance Premium Decisions for BuildingConstruction Projects
B.1. Project Factors
B.2. Contractor Factors
B.3. Insurer Factors
B.4. Market Factors
Appendix 1.2: Interview Guideline
Mark-up Determination for Construction WCI
B. Interview Questions
Appendix 2: WCIXpert User Manual
Installing WCIXpert
Installation Method
Getting Started with WCIXpert
Creating a New Project File
Hazard Rating of Building Construction Projects
Hazard Assignment
Project Hazard Rating
Safety Rating of Building Construction Projects
Inference of Risk Rate and Mark-up
Underwriting a New WCI Policy
Claims Management
Producing CCI Contractor and SMD Client Details
References
Index.
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
ISBN:
1-61324-299-9
OCLC:
730502321

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