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ITS » Master Theses » Manajemen Industri-S2 MMT
Posted by tedjo at 02/01/2007 15:57:38  •  8295 Views


PERENCANAAN PRODUKSI AGREGAT DENGAN MENGGUNAKAN METODE LINEAR PROGRAMMING DI PABRIK OTSUKA INDONESIA

THE AGGREGATE PRODUCTION PLAN BY LINEAR PROGRAMMING METHOD

Author :
SUDIARTONO 




ABSTRAK

Pengelolaan sistem produksi yang optimal mutlak perlu dilakukan untuk mendapatkan keuntungan semaksimal mungkin yang salah satunya dapat dilakukan melalui perencanaan agregat produksi yang baik. Penelitian Perencanaan Produksi Agregat di PT Otsuka Indonesia ini bertujuan untuk membuat dan menganalisa perencanaan produksi yang meminimumkan total biaya produksi serta menggunakan informasi dari perencanaan untuk optimalisasi produksi sehingga diperoleh keuntungan yang maksimum. Terdapat lima jenis produk Infus yang diteliti Produk A B C D dan E dalam perencanaan agregat. Metode-metode yang digunakan dalam penelitian diantaranya adalah metode peramalan dengan menggunakan sembilan model peramalan dan metode Linear Programming untuk perencanaan agregat dan optimasi produksi di unit produk Infus. Pengolahan data untuk menentukan metode peramalan terbaik digunakan bantuan software QS Quantitative System dan untuk perencanaan agregat serta disagregasi produk digunakan bantuan software WinQSB dengan model dasar Linear Programming. Pemilihan model peramalan terbaik didasarkan pada parameter-parameter Bias Mean Square Error MSE atau Mean Squared Deviation MSD. Model peramalan terpilih untuk produk A B C D dan E berturut-turut adalah model Moving Average with Linear Trend M12 model Weighted Moving Average M12. model Simple Average Model Double Exponential Smoothing with Linear-Trend dan model Moving Average with Linear Trend m4. Perencanaan agregat memberikan rekomendasi jumlah produksi total dalam satu tahun kedepan yang terbagi dalam 12 periode dengan total produksi sebanyak 16.895.359 botol dengan total biaya produksi Rp. 24.302.895.000 dan keuntungan Rp. 30.808.521.900. Solusi optimal dari disagregasi adalah Produk A1.965.472 botol B2.202.060 botol C4.927.140 botol D3.000.939 botol dan E4.397.388 botol. Untuk antisipasi perubahan kondisi di masa mendatang disusun dua skenario kebijakan lain yaitu tidak memperbolehkan overtime dan memungkinkan overtime dengan pemenuhan tingkat produksi minimum untuk setiap jenis produk. Berdasarkan solusi optimal yang diperoleh ternyata skenario 1 seperti diatas yang memperbolehkan overtime maksimum masih memberikan tingkat keuntungan tertinggi dibanding skenario 2 Rp.27.284.120.000 dan skenario 3 Rp.26.192.200.000.


ABSTRACT

The production system should be manage optimum in accordance to gain maximum profit in which can be through a good aggregate production plan. The study of aggregate production planning in PT Otsuka Indonesia has a goal to build and analyze production plan to minimize total production cost and to utilize the gathered information of the plan to optimize the cost of product. So that can achieve the maximum profit. There are five main IV intra vena solution products involved in this aggregate planning study product A B C D and E. One of the method which be using in this study is the nine forecasting model and Linear Programming method to optimize the production in IV solution unit. In data processing to get the best forecasting method by utilizing the QS Quantitative System software the selection of the fittest base on the parameter bias. Mean Square Error MSE and Mean Square Deviation MSD. And to do aggregation or to do the dis-aggregration with the basic is Linear Programming model utilize the WinQSB software. The forecast model selected for A B. C D and E products are Moving Average with Linear Trend M12 model Weighted Moving Average M12 model Simple Average. Model Double Exponential Smoothing with Linear Trend model and Moving Average with Linear Trend M4 model. Aggregate Production Planning gives recommendation of production unit number in a year totally 16.895.359 units divided in 12 periods with total production cost Rp. 24.302.895.000 and profit margin Rp.30.808.521.900. Dis-aggregation optimum solutions are Product A1.965.472 units B2.202.060 units. C4.927.140 units D3.000.939 units and E4.397.388 units. To anticipate the change of the conditions in the future there are two other policies constructed which are no overtime allowed but no lower bound for each products and the other one with lower bound for each. Base on optimum solution the best result is the 1st scenario which allow overtime compare to the 2nd scenario with the profit margin Rp.27.284.120.000 and the 3rd scenario Rp.26.192.200.000.



KeywordsPerencanaan Agregat ; Peramalan ; Disagregasi ; Solusi Optimal ; Skenario Kebijakan
 
Contributor
  1. Dr. Ir. Moses L. Singgih, MSc., MRegSc.
Date Create: 02/01/2007
Type: Text
Format: Pdf ; 85 pages
Language: Indonesian
Identifier: ITS-Master-3100005022840
Collection ID: 3100005022840
Call Number: 658.5 Sud p,


Source
Theses Master of Technology Management RTMM 658.5 Sud p, 2005

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Copyright @2005 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




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