Apriori Algorithm Used in Maintenance History-The Case of a Local Vehicle Maintenance Plant

• Main Authors: CHANG, CHIA-FENG, 張嘉峰
• Other Authors: LOW, CHIN-YAO
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/97h765

碩士 === 國立雲林科技大學 === 工業工程與管理系 === 107 === According to the statistics of the Ministry of Communications of Taiwan (2019), the annual total number of vehicles in Taiwan is increasing. Starting in 2018, the total number of vehicle including buses, trucks, sedans, mini trucks and special purpose vehicle has reached 8 million. That is, about 5 out of every 10 people own a car, and after 10 years of use, the total cost of the owner on the vehicle has reached the price of more than 60% of the new car. Therefore, how to take care of the vehicle and reduce the additional cost of car maintenance has become a topic of concern for every car owner. This study is aimed at the maintenance history of the Chiayi City local vehicle maintenance works, using the Apriori algorithm to find out the association rules for analysis. And use the analysis results to propose management suggestions for customer sales and vehicle maintenance for the vehicle maintenance works. This study studied the case of 86,351 maintenance details from June 2003 to April 2016. The raw data is pre-processed in sequence: data cleaning, reclassification, data format conversion, data grouping and finally put into Apriori algorithm with minimum support value (0.01), minimum confidence value (0.7) parameter. From the analysis of the "engine" category in the rules, it is found that the vehicle maintenance twice in 30 days are mostly rules for replacing consumables. Therefore, if consumables can replace within the recommended time of the vehicle manufacturer, the failure rate can be effectively reduced. If the vehicle maintenance three times within 30 days, the chance that the engine have to be engine rebuild due to various system failures will increase from 6% to 20%. The maintenance of "tire" and "fuel system" will also maintenance "Ignition system" rule. A total of 37 vehicles comply with this rule. And by calculating the average number of fuel filter replacements, the rule group is 1.84 times more than the control group, and the number of replacements of the spark plug is 3.58 times more than the control group. It was confirm that the Ineffective fuel filter of the vehicle will affected the use mileage of the spark plug.