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All Journal OPERATION EXCELLENCE: Journal of Applied Industrial Engineering
Mega Purnamasari
Universitas Mercu Buana, Jakarta
Decision Sciences, Operations Research & Management

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Perhitungan faktor utilitas baterai pesawat dengan menggunakan metode sistem dinamis untuk mengukur tingkat ketersediaan baterai Nyimas Desy Rizkiyah; Muhamad Arya Dwi Pangga; Alfin Yumaela Lestari; Mega Purnamasari
Operations Excellence: Journal of Applied Industrial Engineering Vol 14, No 1, (2022): OE Maret 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2022.v14.i1.041

Abstract

The role of the aircraft maintenance industry as an aircraft maintenance service which is expected to be able to maintain the survival of the aircraft itself. For example, PT GMF Aero Asia is one of the Strategic Business Units (SBU) owned by PT Garuda Indonesia which is specialized in aircraft maintenance, repair and overhaul services which include aircraft frames, engines, components and their support. In this study, a quantitative assessment of the availability and capability of maintenance facilities was carried out using a preventive maintenance method with a dynamic system model approach that describes the level of availability and maintenance capability of aircraft batteries. Calculations have been made with a computer program, POWERSIM, in actual conditions that in December 2020 the total number of batteries in maintenance was 102 batteries for Airbus types and 80 batteries for Airbus types. With the assumption that starting in 2021 there will be an increase in the number of aircraft by 1 (one) unit per month, then at the end of the study period until July 2021 the calculation of the utility factor will be as follows, the total utility factor for Boeing is still below 1, while for Airbus starting April 2021 the utility factor is above 1. So that the operator's ability to handle Airbus type battery maintenance is not sufficient. For this purpose, an alternative scenario needs to be created, namely scenario 1 by adding one operator per shift and scenario 2 by increasing the operator's workload in handling the number of batteries handled to as many as 6 battery units. The results of the calculation of the utility factor show that in both conditions the scenario gives a value below 1. The best choice in terms of simplicity in handling the number of operators, then the choice of condition scenario 2 is the best choice.
Line balancing of aircraft IDG part maintenance process line balance using line balancing and promodel Nyimas Desy Rizkiyah; Rivandi Ainul Putra; Yusril Ihza Muhammad; Mega Purnamasari
Operations Excellence: Journal of Applied Industrial Engineering Vol. 15, No. 1, (2023): OE March 2023
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2023.v15.i1.067

Abstract

Aircraft have thousands of components that must be maintained to remain functional. Components on aircraft have a high enough price that maintenance is required. The power source on an airplane can be divided into 2 types, namely AC and DC. One source of AC electricity is the Integrated Drive Generator (IDG) which is one of the important components of an aircraft that functions as a generator of electricity. If IDG experiences a problem, it will disrupt aircraft operations. For this purpose, IDG must receive good care with effective services. The processing time for maintenance services takes 42.8 hours for one IDG part unit. This study aims to balance the trajectory. The IDG part maintenance process is carried out by Pro-model simulation. The results of the IDG maintenance simulation are the maintenance time in operation (Average time in Operation) which is 42.61 hours and the IDG parts handled are 11 IDG parts. The results of this simulation scenario can estimate the possible number of IDG parts that will occur annually and can estimate the total service capacity that handles the planned number of incoming entities. The best scenario results when the capacity of 1 service group per unit will result in the number of IDG maintenance services of 11 units per year, by increasing the service capacity to 2 service groups per unit will result in the number of IDG maintenance services of 23 units per year. And by increasing the service capacity to 4 service groups per unit, the number of maintenance services will be 46 units per year. 
Co-Authors Alfin Yumaela Lestari Muhamad Arya Dwi Pangga Nyimas Desy Rizkiyah Rivandi Ainul Putra Yusril Ihza Muhammad