Improving the effectiveness of production quality by applying planned maintenance in manufacturing industry

Ishak, Muhammad Asyraf (2023) Improving the effectiveness of production quality by applying planned maintenance in manufacturing industry. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full Text) Improving the effectiveness of production quality by applying planned maintenance in manufacturing industry.pdf - Submitted Version Restricted to Registered users only until 5 January 2028. Download (2MB)

Abstract

The manufacturing industry is advancing at a rapid pace and is well-positioned for the future. Having high productivity is a crucial part of achieving this. Productivity has the same worth as money since it affects profitability and allows a company to compete in the same industry as its competitor. This data is utilised in studies to improve certain food and beverage industries. In most cases, plan maintenance is the most cost-effective method. This is due to the fact that in terms of maintenance to detect problems at workstations or in industries, the plan maintenance technique is still inadequate. The identified causes then aid in the identification of acceptable solutions for resolving any machine problem in the workplace. As a result, this technique will give ideas for activities to increase product quality and machine performance. The framework for this study was devised and organised based on a review of the literature on plan maintenance. The outcomes of this approach were then analysed using Ishikawa diagrams to discover the frequency of loss factors and causes, as well as suggestions for improvement using the Why-Why Analysis. The research can then be used in the Food and Beverage Industry. As a result, it will have an impact on the quality of the product, which will be considered defective The study's objective is to determine the factors that influence machine breakdowns or downtime in the workplace and the thesis containing research on plan maintenance will be beneficial and useful, particularly to manufacturing companies seeking to improve production quality.

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