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ITS » Undergraduate Theses » Teknik Informatika Ekstensi - S1
Posted by dewi007 at 30/12/2009 17:26:15  •  3642 Views


RANCANG BANGUN OPTIMASI PERENCANAAN KEBUTUHAN BAHAN BAKU DENGAN ALGORITMA WAGNER-WHITIN

DESIGN AND IMPLEMENTATION OF LOT SIZING PLANNING OPTIMIZATION USING WAGNER-WHITIN ALGORITHM

Author :
Widyastuti, Nur Laila ( 5103109043 )




ABSTRAK

Lotting atau pembelian bahan baku adalah salah satu tahap dalam Material Requirement Planning. Teknik lotting yang dikenal adalah algoritma Wagner-Within. Algoritma ini banyak digunakan karena memberikan solusi optimal bagi persoalan ukuran pemesanan dinamis-deterministik pada periode waktu tertentu dimana kebutuhan seluruh periode harus terpenuhi. Dalam tugas akhir ini dibangun suatu sistem aplikasi optimasi perencanaan kebutuhan bahan baku dengan menggunakan algoritma Wagner-Whitin. Proses pembangungan diawali dengan membangun modul pembangkit data permintaan dengan menggunakan metode ARIMA 111 dilanjutkan dengan modul peramalan forecasting permintaan konsumen terhadap produk akhir dengan menggunakan metode peramalan dekomposisi multiplikatif dan diakhiri dengan pembangunan modul Material Requirement Planning MRP I yang menggunakan algoritma Wagner-Whitin. Hasil dari uji sistem dengan data uji coba adalah data pembangkitan akan membentuk pola yang sama yaitu cenderung naik dari minggu ke minggu. Hasil peramalan mempunyai akurasi tinggi sebesar sebesar 99.45 97.26 99.57 dan 99.55.Algoritma Wagner-Whitin selalu mennghasilkan gabungan minggu. Hasil penggabungan pada minggu pertama akan menghasilkan biaya minimum untuk seluruh minggu produksi.


ABSTRACT

Lotting or order for each item is one of the phases in Material Requirement Planning. One of lotting technique which is broadly used is Wagner-Within algorithm. This algorithm is often used because it gives an optimal solution for dynamicdeterministic lot-sizing problem for one period in one time in which a whole demand at each period is fulfilled. In this study it will be developed application system that is used to calculate lot-sizing using Wagner-Within Algorithm. The development process is started with develop module for generate demand data using ARIMA111 method then continued with module for forecasting costumer demand for final product or good and closed with module for Material Requirement Planning MRP I which uses Wagner-Whitin algorithm. Results of system evaluation using evaluation data are Generate data for all data always produce the same pattern which increase week by week. Forecasting result have high accuracies values namely 99.45 97.26 99.57 and 99.55. Wagner-Whitin algorithm always result some weeks merger. First week merger result always gives minimum total cost for a whole week production.



KeywordsPeramalan ; Algoritma Wagner-Whitin ; MRP
 
Subject:  Algoritma
Contributor
  1. Sarwosri, S.Kom, M.T
    Ahmad Saikhu, S.Si, M.T
Date Create: 30/12/2009
Type: Text
Format: pdf.
Language: Indonesian
Identifier: ITS-Undergraduate-3100007029679
Collection ID: 3100007029679
Call Number: RSIf 005.1 Wid r


Source
Undergraduate Theses of Informatics Engineering, RSIf 005.1 Wid r, 2007

Coverage
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Rights
Copyright @2007 by ITS Library. This publication is protected by copyright and permission should be obtained from the ITS Library prior to any prohibited reproduction, storage in a retrievel system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permission(s), write to ITS Library




[ Download - Open Access ]

  1.  ITS-Undergraduate-6762-5103109043-kesimpulan.pdf - 135 KB




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