Penggunaan metode algoritma wagner within dalam upaya pengendalian persediaan scrap besi di PT XYZ
| Main Authors: | Somadi, Septa, Syah Rajendra Hari , Juita, Nila Dahlia |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
UNIVERSITAS NUSANTARA PGRI KEDIRI
, 2020
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| Subjects: | |
| Online Access: |
https://ojs.unpkediri.ac.id/index.php/manajemen/article/view/14111 https://ojs.unpkediri.ac.id/index.php/manajemen/article/view/14111/1537 |
Daftar Isi:
- The research objective is to determine the total size of the lot of iron scrap orders, and the total cost of the company's inventory before and after carrying out the method of controlling iron scrap inventory using the Wagner Within Algorithm method. Demand forecasting uses the Single Moving Averge, Weight Moving Average, and Exponential Smoothing methods. Based on the results of the study, the total lot size of iron scrap material orders is smaller than the size of previous lot orders without using the inventory control method, which is 15,362 tons per year. Total inventory of Rp. 105,076,125,840 and the total cost is more optimal when compared with the total cost of inventory with the company system that is Rp. 109,734,165,840 so that the company can save costs by Rp. 4,658,040,000.
- Tujuan penelitian yaitu untuk mengetahui total ukuran lot pemesanan scrap besi, dan total biaya persediaan perusahaan sebelum dan sesudah melakukan metode pengendalian persediaan scrap besi dengan menggunakan metode Algoritma Wagner Within. Peramalan permintaan menggunakan metode Single Moving Averge, Weight Moving Average, dan Exponential Smoothing. Berdasarkan hasil penelitian, total ukuran lot pemesanan material scrap besi lebih kecil dibandingkan ukuran lot pemesanan sebelumnya tanpa menggunakan metode pengendalian persediaan yaitu sebesar 15.362 ton per tahun. Total persediaan sebesar Rp. 105.076.125.840 dan total biaya tersebut lebih optimal jika dibandingkan dengan total biaya persediaan dengan sistem perusahaan yaitu sebesar Rp. 109.734.165.840 sehingga perusahaan dapat menghemat biaya sebesar Rp. 4.658.040.000.