Fuzzy Production Inventory Model considering Imperfect Quality and Shortage: A Case Study in a Goat Milk SMEs
Goat milk powder is one of the perishable processed products. The decreasing quality of goat milk powder can cause financial losses to the company if not regulated properly. So far, the company is also faced with the problem of consumer demand uncertainty. When demand for powdered goat's milk i...
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Format: | Article |
Language: | Indonesian |
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Universitas Pembangunan Nasional "Veteran" Yogyakarta
2022-12-01
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Series: | OPSI |
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Online Access: | http://jurnal.upnyk.ac.id/index.php/opsi/article/view/7574 |
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author | Puryani Puryani Laila Nafisah Nuansa Indriya Pramasthi Apriani Soepardi Mohammad Chaeron |
author_facet | Puryani Puryani Laila Nafisah Nuansa Indriya Pramasthi Apriani Soepardi Mohammad Chaeron |
author_sort | Puryani Puryani |
collection | DOAJ |
description | Goat milk powder is one of the perishable processed products. The decreasing quality of goat milk powder can cause financial losses to the company if not regulated properly. So far, the company is also faced with the problem of consumer demand uncertainty. When demand for powdered goat's milk is high, the company experiences stockout but can be overcome by backorder. When demand is low, there will be overstock. Overstock conditions, in addition to causing high holding costs, are also at risk of product quality degradation or expiration. In this study, an inventory model of goat milk powder was developed that considers the uncertainty of demand, product quality, and backorder to determine the optimal production quantity so that the total inventory cost incurred is minimum. The basic model used is economic production quantity. Uncertainty in demand and the percentage of products declining in quality is approached using a triangular fuzzy. While the defuzzification technique used is signed distance. |
first_indexed | 2024-04-10T20:33:51Z |
format | Article |
id | doaj.art-67255205849f45989896fa2d61eba2d4 |
institution | Directory Open Access Journal |
issn | 1693-2102 2686-2352 |
language | Indonesian |
last_indexed | 2024-04-10T20:33:51Z |
publishDate | 2022-12-01 |
publisher | Universitas Pembangunan Nasional "Veteran" Yogyakarta |
record_format | Article |
series | OPSI |
spelling | doaj.art-67255205849f45989896fa2d61eba2d42023-01-25T02:09:36ZindUniversitas Pembangunan Nasional "Veteran" YogyakartaOPSI1693-21022686-23522022-12-0115232333210.31315/opsi.v15i2.75744431Fuzzy Production Inventory Model considering Imperfect Quality and Shortage: A Case Study in a Goat Milk SMEsPuryani Puryani0Laila Nafisah1Nuansa Indriya Pramasthi2Apriani Soepardi3Mohammad ChaeronDepartment of Industrial Engineering, Faculty of Industrial Engineering, Universitas Pembangunan Nasional “Veteran” Yogyakarta, Jl. Babarsari No. 2 Tambakbayan Yogyakarta, 55282Department of Industrial Engineering, Faculty of Industrial Engineering, Universitas Pembangunan Nasional “Veteran” Yogyakarta, Jl. Babarsari No. 2 Tambakbayan Yogyakarta, 55282Department of Industrial Engineering, Faculty of Industrial Engineering, Universitas Pembangunan Nasional “Veteran” Yogyakarta, Jl. Babarsari No. 2 Tambakbayan Yogyakarta, 55282Department of Industrial Engineering, Faculty of Industrial Engineering, Universitas Pembangunan Nasional “Veteran” Yogyakarta, Jl. Babarsari No. 2 Tambakbayan Yogyakarta, 55282Goat milk powder is one of the perishable processed products. The decreasing quality of goat milk powder can cause financial losses to the company if not regulated properly. So far, the company is also faced with the problem of consumer demand uncertainty. When demand for powdered goat's milk is high, the company experiences stockout but can be overcome by backorder. When demand is low, there will be overstock. Overstock conditions, in addition to causing high holding costs, are also at risk of product quality degradation or expiration. In this study, an inventory model of goat milk powder was developed that considers the uncertainty of demand, product quality, and backorder to determine the optimal production quantity so that the total inventory cost incurred is minimum. The basic model used is economic production quantity. Uncertainty in demand and the percentage of products declining in quality is approached using a triangular fuzzy. While the defuzzification technique used is signed distance.http://jurnal.upnyk.ac.id/index.php/opsi/article/view/7574inventory modelfuzzy logicqualitybackorder |
spellingShingle | Puryani Puryani Laila Nafisah Nuansa Indriya Pramasthi Apriani Soepardi Mohammad Chaeron Fuzzy Production Inventory Model considering Imperfect Quality and Shortage: A Case Study in a Goat Milk SMEs OPSI inventory model fuzzy logic quality backorder |
title | Fuzzy Production Inventory Model considering Imperfect Quality and Shortage: A Case Study in a Goat Milk SMEs |
title_full | Fuzzy Production Inventory Model considering Imperfect Quality and Shortage: A Case Study in a Goat Milk SMEs |
title_fullStr | Fuzzy Production Inventory Model considering Imperfect Quality and Shortage: A Case Study in a Goat Milk SMEs |
title_full_unstemmed | Fuzzy Production Inventory Model considering Imperfect Quality and Shortage: A Case Study in a Goat Milk SMEs |
title_short | Fuzzy Production Inventory Model considering Imperfect Quality and Shortage: A Case Study in a Goat Milk SMEs |
title_sort | fuzzy production inventory model considering imperfect quality and shortage a case study in a goat milk smes |
topic | inventory model fuzzy logic quality backorder |
url | http://jurnal.upnyk.ac.id/index.php/opsi/article/view/7574 |
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