Shinta, Rachmania (2018) Rancangan Perbaikan Metode Perencanaan Dan Pengadaan Expendable Materials Untuk Memenuhi Kebutuhan Aktivitas Perawatan Pesawat Terbang Pada Industri Mro. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Salah satu elemen penunjang terpenting bagi industri MRO dalam melakukan jasa perawatan pesawat terbang adalah ketersediaan material agar industri tersebut dapat mengembangkan kapasitas dan kapabilitasnya. Untuk itu, sebagai industri yang menyediakan jasa perawatan pesawat, PT. ABC perlu mengontrol persediaan sparepart / material agar dapat digunakan ketika dibutuhkan, namun tetap berprinsip pada efisiensi agar material yang ada tidak menjadi beban inventory. Rekomendasi perbaikan yang ditawarkan berupa rancangan sistem perencanaan dan pengadaan material dalam rangka efisiensi biaya dan minimasi inventory. Metode peramalan Croston dan Syntetos-Boylan Approximation digunakan dalam penelitian ini karena demand pattern dari sparepart memiliki karakteristik intermittent. Metode lain yang digunakan dalam penelitian ini yaitu pendekatan sistem pengendalian continuous review (s,S) serta menggunakan simulasi Monte Carlo dalam melakukan generate random data dan menemukan kombinasi (s,S) acak yang menghasilkan nilai total cost, service level dan sisa nilai inventory paling optimal. Evaluasi tingkat performansi nilai min-max eksisting akan dibandingkan dengan evaluasi performansi Alternatif 1 dan Alternatif 2. Di mana Alternatif 1 merupakan penyesuaian nilai min-max dengan menggunakan input data historis dan metode EOQ memiliki performansi terbaik hampir pada semua material. Namun pada beberapa material, nilai min-max Alternatif 2 yang menggunakan nilai hasil metode forecast pilihan, memiliki performansi yang lebih baik dibandingkan dengan nilai min-max kondisi eksisting.===============================================One of the most important supporting elements for the MRO industry in performing aircraft maintenance services is the availability of materials for the industry to develop its capacity and capabilities. For that, as an industry that provides aircraft maintenance services, PT. ABC needs to control the supply of spare parts / materials to be used when needed, but still principled on the efficiency so that the material does not become excess inventory. Suggested improvements that is offered in this research is a planning and procurement system of materials in in order to cost efficiency and inventory minimization. Croston and Syntetos-Boylan Approximation forecasting method is used in this research because the demand pattern of spare parts has intermittent characteristics. The method used in this research is continuous review inventory control system (s, S). Monte Carlo simulation is also used in generating random data and finding random (s, S) combinations that performed the most total cost, service level and remaining value of inventory. Evaluation of the performance of min-max existing values will be compared with the evaluation of Alternative 1 and Alternative 2 performance. Where Alternative 1 is an adjustment of min-max value using historical data input and EOQ method, this alternative has the best performance in almost all materials. However, in some materials, the min-max value of Alternative 2 which uses the value of the selected forecast method has better performance compared to the min-max value of the existing condition.
| Item Type: | Thesis (Undergraduate) |
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| Uncontrolled Keywords: | Continuus Review, Croston, Industri MRO, Inventory Management, Syntethos-Boylan Approximation, Simulasi Monte Carlo |
| Subjects: | T Technology > T Technology (General) > T174 Technological forecasting T Technology > TS Manufactures > TS155 Production control. Production planning. Production management |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Rachmania Shinta S. |
| Date Deposited: | 28 Jun 2021 01:05 |
| Last Modified: | 28 Jun 2021 01:05 |
| URI: | https://repository.its.ac.id/id/eprint/55966 |
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