Abstract
Currently, electricity becomes basic needs for human’s life sustainability. Most of activities require electricity. Some power plant are demanded to be able to fulfil above necessity by distributing electricity as it required within time. Therefore, to accommodate good performance, it needs assessment on risk analysis, specifically at the warehousing division. A risk analysis is needed for assuring a good performance warehouse. A Modified FMEA method is used to analyse the risk. This method id done by identifying sources and root causes of a problem based on the value of risk priority number (RPN). The research is conducted in an Indonesian power plant, located in West Java. There are 10 types of failure modes. The result shows that the failure mode priority is inventory discrepancies. There are no difference ranking on the most impacted failure to be prioritized using FMEA and modified FMEA method.
Highlights
Electricity is one of human basic needs to support every human activity
This research was conducted in an Indonesian power plant, located in West Java using five main stages
Failure Mode and Effect Analysis (FMEA) modification is performed on the FMEA criteria weighting stage, i.e. severity, occurrence and detectability using the analytic hierarchy process (AHP) method
Summary
Electricity is one of human basic needs to support every human activity. If there are no electricity supply all activities undertaken by humans will be stopped or obstructed. Every power plant produces electricity with continuous production, as well as minimizing the risk of occurrence of bottleneck or other production constrain. The process can be run with a good system in order to increase productivity. A good system is done to minimize the risk of an industry [1]. There are some industries that fail to run their business processes because triggered by bad risk management. Most industries maximize the potential of assets and resources to make a profit without identifying potential risks that may occur in each of the assets or resources managed [2]
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