Abstract
The quality of crumb rubber has several grades according to Indonesian Rubber Standard (SIR). In crumb rubber process production, lots of products need to rework because it does not match with specified specifications. The types of rework product based on SIR that cause of defects such as hard, soft and dirt. However, the reworked products will produce crumb rubber with lower grade quality. This certainly affects the selling price of the crumb rubber. Also rework will incur additional production costs. Efforts that can be used to minimize the number of rework is to identify the factors that cause failure and determine the priority level of the risk of failure in the production process crumb rubber. It can be used is by using Fuzzy FMEA method. This method aims to get the risk of failure and the level of risk of failure during the crumb rubber production process. Fuzzy FMEA method also obtained the highest RPN value is equal to 489 for the risk of failure of engine dryer temperature is too high. Through the highest priority level of failure (RPN), company can determine the steps to make improvements during the production process to improve the quality of crumb rubber products.
Highlights
Companies always want to increase productivity in order to produce smooth production process
Production process that can be seen based on efficient production and can achieve the desired production target
The problems that occur in this study are products that do not conform to the standards produced by the reworked product
Summary
Companies always want to increase productivity in order to produce smooth production process. It is necessary to improve the quality for each product using FMEA fuzzy method to see which process is the most error and provide the right information for the company. FMEA is a systematic bottom-up approach for identifying potential critical failure modes of a manufacturing process or a product to provide key information for improvement and risk assessment [1]. FMEA is a widely used quality improvement and risk assessment tool in manufacturing industry This tool combines the human knowledge and experience to identify: [2] identify known or potential failure modes of a product or process, [3] evaluate the failures of a product or process and their effects, [4] assist engineers to initiate corrective actions or preventive measures, and [5] eliminate or reduce the chance of the failures occurring
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