ANALISIS PENGENDALIAN PERSEDIAAN MATERIAL ALAM MENGGUNAKAN METODE ALGORITMA WAGNER WITHIN DAN ALGORITMA SILVER MEAL PADA PT. X

Rahmayanti Wulandari, . (2020) ANALISIS PENGENDALIAN PERSEDIAAN MATERIAL ALAM MENGGUNAKAN METODE ALGORITMA WAGNER WITHIN DAN ALGORITMA SILVER MEAL PADA PT. X. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

PT. X is the largest precast concrete producer in Indonesia. According to the material fulfillment of JIS 2019 project, the company has inventory conditions that are often overstock and stockout, therefore its necessary to conduct an inventory control analysis to obtain an optimal planning and cost balancing. The first step is calculated the lot size using existing method by making Material Requirement Planning (MRP). Then demands are analyzed using inventory cost by wagner within algorithm and silver meal algorithm. The result of this study indicated the wagner within algorithm has the most optimal ordering frequency by 6 times order of cements, 4 times order of sand, and 6 times order of split stones with the equal quantity of ordering raw material by demand and wagner within has the largest percentage saving compared to the existing and silver meal methods with 7.21% by a total cost Rp 31,592,011,471 that the Wagner Within Algorithm was chosen as the optimal method for the company to be used in planning and controlling inventory of the projects.

Item Type: Thesis (Skripsi)
Additional Information: No. Panggil : 1610312042 Pembimbing : Ir. Siti Rohana Nasution, MT ; Alina Cynthia Dewi, Ssi, MT Penguji 1 : Muhammad As'Adi, ST, MT Penguji 2 : M. Rachman Waluyo, ST, MT
Uncontrolled Keywords: Inventory Management, Wagner Within Algorithm, Silver Meal Algorithm
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TS Manufactures
Divisions: Fakultas Teknik > Program Studi Teknik Industri (S1)
Depositing User: Rahmayanti Wulandari
Date Deposited: 24 Jun 2021 04:27
Last Modified: 24 Jun 2021 04:27
URI: http://repository.upnvj.ac.id/id/eprint/6285

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