Nurmianto, Firdaus Nurfauzan (2020) Penentuan Jumlah Pekerja Optimal Pada Industri Garmen Dengan Linear Programming. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sebuah perusahaan garment mengalami kesulitan dalam memenuhi permintaan pelanggan karena keterbatasan jumlah penjahit yang dimiliki. Besarnya fluktuasi permintaan pelanggan menyebabkan pengaturan jumlah tenaga kerja penjahit menjadi masalah yang cukup rumit sehingga sering terjadi ketidaksesuaian kapasitas tenaga dengan kebutuhan tenaga kerja yang menyebabkan biaya produksi membengkak.
Pada penelitian ini, akan coba dilakukan perencanaan produksi menggunakan metoda linear programming untuk meminimalkan biaya tenaga kerja penjahit berdasarkan data historis demand perusahaan. Forecasting akan dilakukan menggunakan software Minitab untuk memperoleh peramalan permintaan di tahun berikutnya. Model linear programming dibangun dengan memperhatkan variabel-variabel pembiayaan dalam produksi sesuai kenyataan. Dengan gabungan kedua metoda ini diharapkan produksi yang dijalankan akan menjadi efektif dalam memenuhi permintaan dan efisien dalam jumlah tenaga kerja sehingga bisa meminimalkan biaya produksi.
Hasil yang diperoleh forecasting terbaik didapatkan lewat multiplicative method karena memiliki MAPE, MAD, dan MSD yang lebih kecil disbanding double exponential method. Hasil forecasting yang digunakan sebagai acuan permintaan tahun 2020 didapatkan biaya perencanaan produksi pada kaos sebagai berikut: chase strategy with underutilization Rp. 169.125.000; chase strategy with subcontract Rp.163.820.000; workforce level strategy Rp.189.065.000; linear programming Rp. 162.995.000. Perencanaan produksi pada kemeja didapatkan hasil sebagai berikut: chase strategy with underutilization Rp. 574.500.000; chase strategy with subcontract Rp.555.150.000; workforce level strategy Rp.677.877.500; linear programming Rp. 554.632.500. Perencanaan produksi strategi optimization with linear programming memiliki biaya terendah pada produksi kaos dan kemeja, penggunaan strategi tersebut dapat menghemat pembiayaan dari strategi yang sebelumnya dipakai yaitu workforce level sejumlah Rp. 26.070.000 pada produksi kaos dan Rp. 123.245.000 pada produksi kemeja.
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A Garment company has difficulty fulfilling customer demand due to the limited number of tailors it has. The amount of fluctuation in customer demand which regulates the number of tailors becomes a quite complicated problem so that there is often a mismatch of tailors capacity with tailors requirements which causes production costs to swell.
In this study, production planning will be applied using a linear programming method to minimize tailors costs based on historical data on company demand. Forecasting will be applied using Minitab software to obtain demand forecasts for the following year. Linear programming model is built by considering the financing variables in production according to reality. With the combination of these two methods, it is hoped that the production run will be effective in meeting demand and efficient in the number of workers so as to minimize production costs.
The best forecasting results are obtained through the multiplicative method because they have smaller MAPE, MAD, and MSD than the double exponential method. Forecasting results used as a reference for demand in 2020, the cost of production planning on the shirts is as follows: chase strategy with underutilization of Rp. 169,125,000; chase strategy with subcontract Rp. 163,820,000; workforce level strategy Rp. 189,065,000; linear programming Rp. 162,995,000. Production planning on shirts obtained the following results: chase strategy with underutilization Rp. 574,500,000; chase strategy with subcontract Rp. 555,150,000; workforce level strategy Rp. 677,877,500; linear programming Rp. 554,632,500. The production planning optimization strategy with linear programming has the lowest cost on the production of shirts and shirts, the use of this strategy can save money from the previously used strategy, namely the workforce level of Rp. 26,070,000 for t-shirts and Rp. 123,245,000 in shirt production.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | forecasting, biaya optimal, optimal cost, aggregate planning, linear programming |
| Subjects: | T Technology > TS Manufactures > TS167 Costs, Industrial |
| Divisions: | Faculty of Industrial Technology > Mechanical Engineering > 21201-(S1) Undergraduate Thesis |
| Depositing User: | Firdaus Nurfauzan Nurmianto |
| Date Deposited: | 01 Sep 2020 02:09 |
| Last Modified: | 09 Jan 2024 01:45 |
| URI: | http://repository.its.ac.id/id/eprint/81678 |
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