Optimization of saving production cost in plastic jute sacks with dynamic programming

The plastic jute sack is one of the most popular rice packaging products in the market. One type of plastic jute sack used is LDPE type. The LDPE sacks used for rice packaging often-experiencing fluctuations in market demand. Fluctuating demand is a certain problem for companies in determining the n...

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Main Authors: Sari Rahmi M, Tambunan Mangara M, Syahputri Khalida, Anizar Anizar, Siregar Ikhsan, Indah Rizkya T
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201819714008
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spelling doaj-6506ab0ea8434baa83570978a3763f9b2021-03-02T10:23:40ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011971400810.1051/matecconf/201819714008matecconf_aasec2018_14008Optimization of saving production cost in plastic jute sacks with dynamic programmingSari Rahmi MTambunan Mangara MSyahputri KhalidaAnizar AnizarSiregar IkhsanIndah Rizkya TThe plastic jute sack is one of the most popular rice packaging products in the market. One type of plastic jute sack used is LDPE type. The LDPE sacks used for rice packaging often-experiencing fluctuations in market demand. Fluctuating demand is a certain problem for companies in determining the number of production to meet the demand. It can be seen from the frequent over production companies and stock out at each period. Overproduction problem has an impact to increase production costs. Stock resulted in lost sales experienced adversely affected the company, especially from production cost. Based on the problems, the company must immediately performs an optimal production planning to handle various problems in the company. One method for saving the optimal cost production can be used is dynamic programming. This method aims to obtain the optimal number of production accordance to market demand. This research is done to reduce cost by optimizing number of production. Method that used to solve the problem is dynamic programming. By using this method, the company will obtain optimum production number with minimum production cost and considering total capacity available of the company. From the dynamic programming results obtained optimal production number with cost savings about 2.1%.https://doi.org/10.1051/matecconf/201819714008
collection DOAJ
language English
format Article
sources DOAJ
author Sari Rahmi M
Tambunan Mangara M
Syahputri Khalida
Anizar Anizar
Siregar Ikhsan
Indah Rizkya T
spellingShingle Sari Rahmi M
Tambunan Mangara M
Syahputri Khalida
Anizar Anizar
Siregar Ikhsan
Indah Rizkya T
Optimization of saving production cost in plastic jute sacks with dynamic programming
MATEC Web of Conferences
author_facet Sari Rahmi M
Tambunan Mangara M
Syahputri Khalida
Anizar Anizar
Siregar Ikhsan
Indah Rizkya T
author_sort Sari Rahmi M
title Optimization of saving production cost in plastic jute sacks with dynamic programming
title_short Optimization of saving production cost in plastic jute sacks with dynamic programming
title_full Optimization of saving production cost in plastic jute sacks with dynamic programming
title_fullStr Optimization of saving production cost in plastic jute sacks with dynamic programming
title_full_unstemmed Optimization of saving production cost in plastic jute sacks with dynamic programming
title_sort optimization of saving production cost in plastic jute sacks with dynamic programming
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description The plastic jute sack is one of the most popular rice packaging products in the market. One type of plastic jute sack used is LDPE type. The LDPE sacks used for rice packaging often-experiencing fluctuations in market demand. Fluctuating demand is a certain problem for companies in determining the number of production to meet the demand. It can be seen from the frequent over production companies and stock out at each period. Overproduction problem has an impact to increase production costs. Stock resulted in lost sales experienced adversely affected the company, especially from production cost. Based on the problems, the company must immediately performs an optimal production planning to handle various problems in the company. One method for saving the optimal cost production can be used is dynamic programming. This method aims to obtain the optimal number of production accordance to market demand. This research is done to reduce cost by optimizing number of production. Method that used to solve the problem is dynamic programming. By using this method, the company will obtain optimum production number with minimum production cost and considering total capacity available of the company. From the dynamic programming results obtained optimal production number with cost savings about 2.1%.
url https://doi.org/10.1051/matecconf/201819714008
work_keys_str_mv AT sarirahmim optimizationofsavingproductioncostinplasticjutesackswithdynamicprogramming
AT tambunanmangaram optimizationofsavingproductioncostinplasticjutesackswithdynamicprogramming
AT syahputrikhalida optimizationofsavingproductioncostinplasticjutesackswithdynamicprogramming
AT anizaranizar optimizationofsavingproductioncostinplasticjutesackswithdynamicprogramming
AT siregarikhsan optimizationofsavingproductioncostinplasticjutesackswithdynamicprogramming
AT indahrizkyat optimizationofsavingproductioncostinplasticjutesackswithdynamicprogramming
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