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研究生: 吳魏玲
Dwinta - Utari
論文名稱: Contributing Factors and Prevention Measures for Caught in Between Fatalities
Contributing Factors and Prevention Measures for Caught in Between Fatalities
指導教授: 紀佳芬
Chia-Fen Chi
口試委員: 許總欣
Tsung-Shin Hsu
林廷宜
Tingyi S. Lin
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2011
畢業學年度: 99
語文別: 英文
論文頁數: 87
中文關鍵詞: caught in betweencontributing factorssafeguardingprevention measures
外文關鍵詞: caught in between, contributing factors, safeguarding, prevention measures
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  • Contributing factors to 287 caught in between fatalities have been identified with respect to individual factors (age, experience, and gender), task factors (performing task), part of body injured, source of injury, and accident causation. Cramer’s V and Phi coefficient analysis, based on Chi-square, were used to examine the relationships between factors. Accident scenarios were derived from itemization of accident reports. Broad picture of what exists according to how frequently the occurrence from each contributing factor is obtained in this study. Caught in between fatalities mostly occur in age 25 to 34 years old (29.97%). 263 cases (91.6%) of caught in between fatalities did by male worker. The biggest number of fatalities was contributed by workers with experience only 0 < to ≤ 1 years (38%). Worker performed setting up task contributed the highest number in caught in between fatalities (11.8%) followed by repairing operation and routine operation which given (10.8%) each. Head is the mostly part which is injured by caught in between fatalities with 79 cases (27.5%). Accident causation divided into 4 parts, unsafe acts, unsafe machinery and equipment, unsafe environment, and unsafe management. The most frequently unsafe acts are servicing of equipment in operation (18.14%) and taking unsafe position or posture (11.56%). In unsafe machinery and equipment, unsafe environment, and unsafe management, the most frequently are inadequate guard (17.9%), poor floor condition (4.08%), and lack of SOP (4.08%). Significant linkages were found between accident causation for caught in between fatalities and source of injury. Safeguarding prevention measures that can be used to prevent caught in between fatalities are suggested in each type of source of injury. Primary safeguarding, prevents employee contact with the hazard area during operation, avoids creating additional hazards, as secure, tamper-resistant, and durable, and avoids interfering with normal operation of the machine or equipment. Secondary safeguarding is acceptable when primary safeguarding (that prevents from being exposed to machine or equipment hazards) cannot be installed due to reasons of infeasibility. Safeguarding prevention measures are barrier guard, safeguarding devices, awareness means, training and procedures, personal protective equipment.


    Contributing factors to 287 caught in between fatalities have been identified with respect to individual factors (age, experience, and gender), task factors (performing task), part of body injured, source of injury, and accident causation. Cramer’s V and Phi coefficient analysis, based on Chi-square, were used to examine the relationships between factors. Accident scenarios were derived from itemization of accident reports. Broad picture of what exists according to how frequently the occurrence from each contributing factor is obtained in this study. Caught in between fatalities mostly occur in age 25 to 34 years old (29.97%). 263 cases (91.6%) of caught in between fatalities did by male worker. The biggest number of fatalities was contributed by workers with experience only 0 < to ≤ 1 years (38%). Worker performed setting up task contributed the highest number in caught in between fatalities (11.8%) followed by repairing operation and routine operation which given (10.8%) each. Head is the mostly part which is injured by caught in between fatalities with 79 cases (27.5%). Accident causation divided into 4 parts, unsafe acts, unsafe machinery and equipment, unsafe environment, and unsafe management. The most frequently unsafe acts are servicing of equipment in operation (18.14%) and taking unsafe position or posture (11.56%). In unsafe machinery and equipment, unsafe environment, and unsafe management, the most frequently are inadequate guard (17.9%), poor floor condition (4.08%), and lack of SOP (4.08%). Significant linkages were found between accident causation for caught in between fatalities and source of injury. Safeguarding prevention measures that can be used to prevent caught in between fatalities are suggested in each type of source of injury. Primary safeguarding, prevents employee contact with the hazard area during operation, avoids creating additional hazards, as secure, tamper-resistant, and durable, and avoids interfering with normal operation of the machine or equipment. Secondary safeguarding is acceptable when primary safeguarding (that prevents from being exposed to machine or equipment hazards) cannot be installed due to reasons of infeasibility. Safeguarding prevention measures are barrier guard, safeguarding devices, awareness means, training and procedures, personal protective equipment.

    ABSTRACT I ACKNOWLEDGMENT II TABLE OF CONTENTS III LIST OF FIGURES V LIST OF TABLES V CHAPTER 1 INTRODUCTION 1 1.1 PROBLEM BACKGROUND 1 1.2 THESIS OBJECTIVES 3 1.3 RESEARCH SCOPE AND CONSTRAIN 3 1.4 RESEARCH FRAMEWORK 4 CHAPTER 2 LITERATURE REVIEW 5 2.1 CAUGHT IN BETWEEN FATALITIES OF OCCUPATIONAL ACCIDENT 5 2.2 CAUGHT IN BETWEEN FATALITIES CONTRIBUTING FACTORS AND CLASSIFICATION SCHEME 6 2.2.1 Age, Gender and Work Experience 6 2.2.2 Source of Injury 8 2.2.3 Performance Task 10 2.2.4 Accident Causation 12 2.2.5 Part of Body Injured 15 2.3 FREQUENCY DISTRIBUTION AND STATISTICAL ANALYSIS 17 2.3.1 Phi Coefficient and Cramer’s V 17 CHAPTER 3 METHODOLOGY 20 3.1 CONSTRUCT CONTRIBUTING FACTORS AND CLASSIFICATION SCHEME 20 3.1.1 Age, Gender, and Experience Classification and Coding Scheme 22 3.1.2 Source of injury as Source of Injury 23 3.1.3 Performing Task 25 3.1.4 Accident Causation 28 3.1.5 Part of Body Injured 31 3.2 FREQUENCY DISTRIBUTION AND STATISTICAL ANALYSIS 31 3.2 PREVENTION MEASURES 33 CHAPTER 4 RESULT AND DISCUSSION 36 4.1 CLASSIFICATION SCHEME OF CONTRIBUTING FACTORS AND FREQUENCY DISTRIBUTION, STATISTICAL ANALYSIS 36 4.1.1 Frequency Distribution Age, Gender, and Experience 36 4.1.2 Frequency Distribution Accident Causation, Performing Task, Media or Machinery Related, and Part of Body Injured 38 4.1.2.1 Performing Task 38 4.1.2.2 Source of injury 39 4.1.2.3 Accident Causation 41 4.1.2.4 Part of Body Injured 43 4.2 STATISTICAL ANALYSIS 43 4.2.1 Cramer’s V 43 4.2.2 Phi Coefficient 44 4.2.2.1 Accident Causation and Gender 45 4.2.2.2 Accident Causation and Performing task 46 4.2.2.3 Accident Causation and Part of Body Injured 51 4.2.2.3 Accident Causation and Source of injury 52 4.3 PREVENTION MEASURE 58 4.3.1 Construction, logging, and mining machinery 58 4.3.2 Heating, cooling, cleaning machinery and appliances 60 4.3.3 Material handling machinery 63 4.3.4 Metal, wood working and special material machinery 69 4.3.5 Special process machinery 72 4.3.6 Part and Material 75 4.3.7 Tools and Instrument 76 4.3.8 Trucks, including cement/concrete truck, garbage truck and other highways vehicles 77 CHAPTER 5 CONCLUSION 79 5.1 RESULT 79 5.2 SUGGESTION 80 5.3 FUTURE RESEARCH 80 REFERENCE 81 APPENDIX 1 ACCIDENT CAUSATION IN EACH CASES FROM DATABASE 87

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