Application Failure Mode and Effect Analysis (FMEA) at Pt. Berau Coal Soft Material Excavation Activities

Main Article Content

Hasdiman, Rini Novrianti Sutardjo Tui, Purwanto

Abstract

Introduction: Geotechnical risks generally originate from geology, hydrology, technology and organization where these factors are interrelated. In coal mining businesses which are geologically associated with sedimentary materials such as sand or clay, swamp and mud materials, there are conditions where soft sedimentary materials need to be moved to obtain coal. This soft material is a material that has a low bearing capacity for the load placed on it so that the potential for failure is very likely to occur during excavation activities in this soft material.


Objectives: PT. Berau coal operates as a sole mining contractor and is one of the largest coal producers in Indonesia. The problems faced by the company are related to geotechnical risk management with the emergence of geotechnical problems including landslides of soft materials which result in accidents involving units and people, causing damage and death.


Methods: This research used the FMEA (Failure Mode and Effect Analysis) tool to assess the risk of failure in each process in soft material excavation activities and also used the 5W + 1H method to propose improvements to risk items that have a dominant RPN (Risk Priority Number) value.


 


Results: Based on the research results, it was found that 12  out of 17 failure items have dominant RPN values. Furthermore, the proposed improvements given using the 5W1H method are conducting routine maintenance, conducting an initial briefing before the activity takes place and checking the work area regularly.


Conclusions: The conclusion of this research is the problem on location research that caused landslides from soft materials which caused damage to units and deaths were identified and evaluated using the application of FMEA and 17 failure items were obtained including 12 failure items which became the risk matrix and recommendations for improvement were made using 5W + 1H.

Article Details

Section
Articles