Optimasi Preventive Maintenance Dengan Pso (Particle Swarm Optimization) Pada Semi Lean Solution Pump 107-Jc Di Pabrik I Pt. Petrokimia Gresik

Pudyastuti, Widdhi Purwo (2014) Optimasi Preventive Maintenance Dengan Pso (Particle Swarm Optimization) Pada Semi Lean Solution Pump 107-Jc Di Pabrik I Pt. Petrokimia Gresik. Undergraduate thesis, Institut Teknologi Sepuluh Nopember Surabaya.

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Abstract

Dalam memproduksi amonia, terdapat tahapan CO2 Removal dimana pada proses ini terdapat 3 buah pompa untuk mengalirkan larutan benfield menuju CO2 Absorber. Pada salah satu Semi Lean Solution Pump, yaitu 107-JC sering mengalami breakdown karena kebocoran pada bearing, mechanical seal, korosi, vibrasi tinggi, keausan, dan permasalahan proses. Dalam penelitian ini dilakukan metode optimasi menggunakan PSO (Particle Swarm Optimization) untuk menentukan penjadwalan preventive maintenance sehingga dapat meningkatkan nilai reliability pada sistem pompa 107-JC dan meminimalisir biaya yang dibutuhkan untuk melakukan maintenance. Pemilihan komponen pompa berdasarkan record data maintenance selama 4 tahun (2010-2013) dengan intensitas kerusakan lebih dari 5 kali. Dalam proses optimasi ini, dicari nilai waktu yang tepat untuk penjadwalan preventive maintenance. Dari hasil optimasi, didapat penjadwalan PM adalah 110 jam. Perlakuan maintenance tiap komponen pompa berbeda pada tiap interval. Untuk rentang waktu 110 jam, nilai reliability kritis ketika akan dilakukan maintenance adalah 0,645. Selama rentang waktu 1430 jam atau selama 2 bulan, perawatan pompa dengan preventive maintenance dapat menjaga nilai reliability pompa selalu pada rentang 0,6 dan 1. Serta biaya yang dibutuhkan selama 1430 jam atau 2 bulan adalah sebesar US$2.115,95 =============================================================================================== In producing ammonia, there are stages of CO2 Removal in the process where there are 3 pumps to drain the solution of Benfield to the CO2 Absorber. At one Semi Lean Solution Pump, ie 107-JC is often breakdown because a leak in the bearing, mechanical seal, corrosion, high vibration, wear, and process problems. In this research, the optimization method using PSO (Particle Swarm Optimization) to determine the scheduling of preventive maintenance that can increase the value of reliability to the system pumps 107-JC and minimize the costs required to perform maintenance. Selection of pump components is based on the data record maintenance for 4 years (2010-2013) with the intensity of damage more than 5 times. In this optimization process, look for the value of the right time for scheduling preventive maintenance. From the optimization results, obtained scheduling PM is 110 hours. Maintenance treatment of each component pumps is different at each interval. For a span of 110 hours, the value of critical reliability when will be maintenance is 0.645. Over the span of 1430 hours or as long as 2 months, treatment pump with preventive maintenance can keep the pump reliability is always in the range of 0.6 and 1. As well as the costs required for 1430 hours or 2 months is US $ 2,115.95.

Item Type: Thesis (Undergraduate)
Additional Information: RSF 620.004 6 Pud o
Uncontrolled Keywords: Preventive Maintenance, PSO (Particle Swarm Optimization), Reliability, Semi Lean Solution Pump
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ174 Maintenance and repair of machinery
T Technology > TJ Mechanical engineering and machinery > TJ910 Electric pumping machinery
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: EKO BUDI RAHARJO
Date Deposited: 22 Sep 2020 07:25
Last Modified: 22 Sep 2020 07:25
URI: http://repository.its.ac.id/id/eprint/82020

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