CD Tesis

Perencanaan Produksidengan Menggunakan Forecasting Dan Program Gol Linear

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An appropriate constructive planning is the most important key to a successfull
production system. This thesis describes problems in production planning
using the combination of forecasting method and linear goal programming for
decision making. Both methods are used to predict sales of bakery products
and determine the best and most efficient product combinations to achieve
multi goals. Forecasting method used is autoregresif integrated moving average
(ARIMA) and exponential smoothing. Then it is compared towards the both
methods for choosing the best forecasting method based on the smallest mean
square error (MSE). Furthermore, the best forecasting results are used as an
additional constraint function in the linear goal programming with the objective
function of maximizing profits for the first priority, minimizing overtime
for the second priority, and minimizing the use of raw materials for the third
priority. The combination of forecasting and the linear goal programming give
the optimal results by providing a guarantee that the amount of productions to
be carried out meet all customer demands.
Keywords: Forecasting, ARIMA, exponential smoothing, goal programming

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

10 15 220 (0017)

Penerbit

Pekanbaru : Universitas Riau – Pascasarjana – Tesis Matematika., 2020

Deskripsi Fisik

xiii, 58 hlm,; ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

10 15 220 (0017)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

MATEMATIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

FATAH

Versi lain/terkait

Lampiran Berkas

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