Putra, Andika Parama (2018) Model Optimasi Perencanaan Pengadaan dan Persediaan Karkas Sapi (Studi Kasus: PD RPH X). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
PD RPH (Perusahaan Daerah Rumah Pemotongan Hewan) X adalah perusahaan yang bergerak di bidang jasa potong, penjualan dan distribusi daging sapi. PD RPH X memiliki tantangan baru untuk memenuhi permintaan daging sapi masyarakat Kota Y. Penelitian ini merancang model optimasi untuk menentukan jumlah dan periode pengadaan karkas agar dapat memenuhi permintaan produk daging sapi segar berdasarkan hasil peramalan. Tujuan perancangan model optimasi adalah untuk mendapatkan total biaya pengadaan bahan baku dan biaya persediaan produk yang paling optimal. Total biaya tersebut terdiri dari biaya pembelian dan biaya pemesanan bahan baku serta biaya produksi, biaya penyimpanan dan biaya kerusakan produk. Model optimasi ini menggunakan model matematis ILP (Integer Linear Programming) dengan mempertimbangkan shelf-life time untuk perishable product daging sapi. Peramalan permintaan dilakukan dengan metode Triple Exponential Smoothing (Winter’s Method) dan ARIMA. Berdasarkan perbandingan nilai MAPE, didapatkan bahwa metode Winter dengan parameter α= 0.2, β= 0.1 dan γ= 0.2 adalah metode peramalan permintaan yang paling sesuai untuk meramalkan permintaan daging sapi masyarakat Kota Y. Hasil peramalan permintaan digunakan sebagai data input pada perhitungan model optimasi. Hasil perhitungan model optimasi menunjukkan total biaya sebesar Rp2.853.421.260,00. Penelitian ini juga merancang model optimasi skenario perbaikan untuk pengadaan bahan baku per jenis potongan daging. Dari hasil perhitungan skenario perbaikan didapatkan total biaya sebesar Rp1.277.627.686,00 sehingga terdapat penghematan sebesar 55% dari model optimasi pengadaan karkas.
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PD RPH (Perusahaan Daerah Rumah Pemotongan Hewan) X is an enterprise in field of cattle slaughtering, and beef selling and distribution. PD RPH X faces the new challenge to fulfill the demand of beef in Y city. This research designed optimization model to determine the amount and procurement period of carcass to fulfill fresh beef demand based on the forecast. Optimization model is designed to get the total cost of raw material procurement and the most optimum product procurement cost. The total costs consist of raw material purchasing cost, ordering cost, production cost, holding cost, and waste cost. This optimization model used Integer Linear Programming (ILP) that considers shelf-life time for perishable product (beef). Demand forecast is conducted with Triple Exponential Smoothing method (Winter’s Method) and ARIMA. Based on MAPE value comparison, Winter’s method with parameter α=0.2, β=0.1, and γ=0.2 is the most suitable method to forecast beef demand of Y city. The forecast result then will be used as the input of optimization model. As the result of optimization model calculation, the total cost of raw material procurement and the most optimum product procurement cost is Rp 2.853.421.260,00 This research also designed optimization method for improvement scenario of raw materials procurement for each type of beef cut. From the improvement scenario calculation, the total costs incurred is Rp1.277.627.686,00 so there will be 55% saving of carcass procurement from the optimization model.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSI 519.535 Nug m-1 3100018074872 |
| Uncontrolled Keywords: | ARIMA; ILP (Integer Linear Programming); Karkas; Model Optimasi; Perishable Product; Shelf-life Time; Triple Exponential Smoothing (Winter’s Method) |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD39.5 Industrial procurement. S Agriculture > S Agriculture (General) T Technology > TS Manufactures > TS167 Costs, Industrial |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis |
| Depositing User: | Andika Parama putra |
| Date Deposited: | 05 Mar 2018 05:37 |
| Last Modified: | 10 Jul 2020 04:09 |
| URI: | http://repository.its.ac.id/id/eprint/49955 |
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