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研究生: 鍾成龍
Martin Octavianus Astardi
論文名稱: 汽車召回資料庫缺陷零件與原因關聯性分析
Association Between Defective Component and Cause of Recall on Passenger Vehicle Recalls
指導教授: 紀佳芬
Chia-Fen Chi
口試委員: 林義貴
Yi-Kuei Lin
張庭彰
Tíng-Zhāng Zhāng
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: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 221
中文關鍵詞: vehicle recallclassification schemedefective componentcause of recall
外文關鍵詞: vehicle recall, classification scheme, defective component, cause of recall
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  • A vehicle is comprised of up to 20,000 separate components and roughly one million possible interactions between components, making the avoidance of all defects challenging (Liker et al., 1996). A vehicle recall is necessary when a vehicle does not comply with safety regulations and contains a defect (National Highway Traffic Safety Administration, 2017). The current study analysed 345 passenger vehicle recalls that were reported to National Highway Traffic Safety Administration (NHTSA). Each recall lists the vehicle manufacturer, affected products, potential number of units affected, defective component, description of defect or non-compliance, chronology of events, remedy program, and any corresponding investigation, among other pertinent information. Classification schemes were developed to classify the defective components and causes of recall into useful categories.

    Cramer’s V and Phi coefficient analyses were applied to identify significant associations between defective components and causes of recall for preventing future recurrence of recalls and improving vehicle quality. The following significant associations revealed the most probable cause of recall for each defective component: air bags were significantly associated with software defect, material selection failure, and stitching defect; software defect was the primary cause of recall for electrical systems as well as for wheels and tires; material selection failure was the cause of recall for fuel systems; wheels and tires were associated with instrument error; equipment was associated with mislabelling; fabrication defect was the primary cause of recall for engine, engine cooling, suspension and power train; mechanical joining defect was the primary cause of recall for power train and steering; misplacement defect was the primary cause of recall for steering, parking and braking while parking and braking were also associated with damaged during installation; visibility was associated with adhesion bonding and sealing defects; vehicle speed control was associated with component design defect; and seating was associated with metal joining defect and stitching defect. The current study demonstrated that defect analysis can be applied to improve the design and manufacturing process for a vehicle, and such defect analysis can be generalized to other products or manufacturing processes.


    A vehicle is comprised of up to 20,000 separate components and roughly one million possible interactions between components, making the avoidance of all defects challenging (Liker et al., 1996). A vehicle recall is necessary when a vehicle does not comply with safety regulations and contains a defect (National Highway Traffic Safety Administration, 2017). The current study analysed 345 passenger vehicle recalls that were reported to National Highway Traffic Safety Administration (NHTSA). Each recall lists the vehicle manufacturer, affected products, potential number of units affected, defective component, description of defect or non-compliance, chronology of events, remedy program, and any corresponding investigation, among other pertinent information. Classification schemes were developed to classify the defective components and causes of recall into useful categories.

    Cramer’s V and Phi coefficient analyses were applied to identify significant associations between defective components and causes of recall for preventing future recurrence of recalls and improving vehicle quality. The following significant associations revealed the most probable cause of recall for each defective component: air bags were significantly associated with software defect, material selection failure, and stitching defect; software defect was the primary cause of recall for electrical systems as well as for wheels and tires; material selection failure was the cause of recall for fuel systems; wheels and tires were associated with instrument error; equipment was associated with mislabelling; fabrication defect was the primary cause of recall for engine, engine cooling, suspension and power train; mechanical joining defect was the primary cause of recall for power train and steering; misplacement defect was the primary cause of recall for steering, parking and braking while parking and braking were also associated with damaged during installation; visibility was associated with adhesion bonding and sealing defects; vehicle speed control was associated with component design defect; and seating was associated with metal joining defect and stitching defect. The current study demonstrated that defect analysis can be applied to improve the design and manufacturing process for a vehicle, and such defect analysis can be generalized to other products or manufacturing processes.

    ABSTRACT ii ACKNOWLEDGEMENT iii TABLE OF CONTENT iv LIST OF FIGURES vii LIST OF TABLES viii CHAPTER 1 INTRODUCTION 1 1.1 Background 1 1.2 Research Objective 2 1.3 Research Scope and Constraint 2 1.4 Research Framework 3 CHAPTER 2 LITERATURE REVIEW 4 2.1 Passenger Vehicle Recall Procedure 6 2.2 Design Flaw 8 2.2.1 Material Selection 8 2.2.2 Product Design (Car’s Component) 9 2.2.3 Software Failure 9 2.3 Manufacturing Fault 10 2.3.1 Fabrication/ Manufacturing Processes 10 2.3.2 Joining and Assembly Processes 12 2.4 Mislabelling 14 2.5 Federal Motor Vehicle Safety Standard 14 2.6 Classification Scheme 15 2.7 Cramer’s V and Phi Coefficient Analysis 15 CHAPTER 3 RESEARCH METHODOLOGY 17 3.1 Passenger Vehicle Recall File Used 17 3.1.1 NHTSA Campaign File 17 3.1.2 NHTSA Defect or Non-Compliance Notice 19 3.1.3 NHTSA Remedy Instruction/ Service Bulletin 19 3.2 Vehicle Recall Database 20 3.3 Classification Scheme 20 3.3.1 Defective Component Classification 21 3.3.2 Cause of Recall Classification 53 3.4 Statistical Analysis 118 CHAPTER 4 RESULTS 119 4.1 Frequency Distribution 119 4.2 Cramer’s V and Phi Coefficient Analysis 125 4.2.1 Air Bags 129 4.2.2 Electrical System 140 4.2.3 Wheels and Tires 144 4.2.4 Fuel System 148 4.2.5 Equipment 151 4.2.6 Engine and Engine Cooling 157 4.2.7 Suspension 161 4.2.8 Power Train 164 4.2.9 Steering 171 4.2.10 Parking and Service Brakes 176 4.2.11 Visibility 179 4.2.12 Vehicle Speed Control 183 4.2.13 Seats 186 CHAPTER 5 DISCUSSION AND CONCLUSION 189 5.1 Discussion 189 5.1.1 Shared Component & Unshared Component 189 5.1.2 Material Change 191 5.1.3 Design Change 192 5.1.4 Process and Tools Change 193 5.1.5 Automation for Quality Improvement 194 5.1.6 Challenges in Automotive Software Engineering 196 5.1.5 Future Trends in Automobile 198 5.2 Conclusion 201 REFERENCES 203

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