Abstract
The Failure Modes and Effects Analysis (FMEA) method has been widely recognized as a tool that systematically identifies the consequences and failures of the system or process, and reduces or eliminates the chances of the failure. This study applies that method to evaluate the causes of failure in the use of sugarcane machine that have been designed in the previous studies. FMEA approach anticipated the failures at the design stage, so that a more reliable and ergonomic design can be produced for future sugarcane machine. The potential failure identified from the machine consists of capacity issues, machine maintenance, preliminary treatment, and procedures of use. The study found that capacity issues are the priority problems that cause the machine failure. Then, this study proposed some actions to reduce the risk priority number (RPN) on 12 failures.
Highlights
Indonesia is an area with abundant natural resources, making it known as an agricultural country [1]
These problems are grouped into four categories of failure, namely capacity issues, machine maintenance, preliminary treatment, and machine use procedures
A fishbone diagram was utilized to investigate the potential failure of the machine for each category of failure
Summary
Indonesia is an area with abundant natural resources, making it known as an agricultural country [1]. One effort undertaken to improve the productivity of sugarcane processing is designing a sugarcane machine for producing brown sugar. This machine is used to replace the traditional sugarcane process using buffalo power. Previous research has designed and made a prototype of a sugarcane machine with the application of ergonomic principles [3]. In its application, still found the failure of the machine operation (breakdown). It is necessary to evaluate the use of sugarcane machine designed by Zikri [3] and propose suggestions for improvement of the failure that already occurred. This research aims to evaluate the causes of failure of the Zikri [3] sugarcane machine and provide recommendation improvement for the design
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