Assessment of Preventive Maintenance Projects on Production Lines Performance: In the Case of East Africa Bottling Share Company Addis Ababa Plant
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Date
2023-06
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Addis Ababa University
Abstract
The aim of this study is to assessment of preventive maintenance projects on production lines performance: in the case of east Africa bottling Share Company Addis Ababa plant. In addition to this it described the major challenges regarding production line performance, and preventive maintenance practice at EABSC and challenges on preventive maintenance projects execution. The study used descriptive approach and potential respondents include all 13 machine operators, 7 line technicians, 8 line electricians, 5 mechanical specialists, 4 electrical specialists, 6 Line process engineers, 4 maintenance planners, 3 maintenance controllers and 1 CBM expert for gathering primary data by questionnaire and secondary data gathered from SAP (system application and process) system and Company reports to analyze the effect of preventive maintenance projects has on production line performance by selecting machine efficiency and production volume. The numeric data was analyzed using descriptive statistics in SPSS, and the qualitative data was analyzed using content analysis. The survey was done on four production lines in EABSC Addis Ababa plant by taking sample size of 51. The results showed that poor checklist execution practice is the major factors affecting production line performance by 25.5% from other factors. Survey and Sap data showed that 60.7% respondents agreed skipping overhaul maintenance can affect the line performance and after overhaul maintenance line performance improved. 80.4% respondents agreed that CBM reduces number of breakdowns. It’s recommended that EABSC should focus on preventive maintenance projects in order to improve production lines performance. It’s better to avail tools for operators to do some tightening tasks on production lines machineries. Also not skipping usage based maintenance according to original equipment manufacturer recommendation is recommended. Strengthen CBM department with new technologies and equipment is good for better failure analysis so to reduce machine breakdown and save cost
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Autonomous maintenance