Journals / Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2005 / Cilt: 23 - Sayı: 2

An Optimizasyon Model for Material Requirement Planning Under Stochastic Dynamic Demand

Belirsiz ve Dinamik Talep Altında Malzeme İhtiyaç Planlaması İçin Bir Optimizasyon Modeli

Pages
235–256
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, the study of Tarım-Kingsman that determines, at the beginning of the planning, up to which upper limit the orders have to be recieved has a potential to take the system nervousness away from the MRP system.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Although MRP has advantages over statistical inventory control, it has some weak points.
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Key Findings & Data:One is that uncertainty on demand cannot be added effectively to the MRP models.
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Conclusion & Impact:In addition, the study of Tarım-Kingsman that determines, at the beginning of the planning, up to which upper limit the orders have to be recieved has a potential to take the system nervousness away from the MRP system.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Although MRP has advantages over statistical inventory control, it has some weak points. One is that uncertainty on demand cannot be added effectively to the MRP models. Another weakness is the system nervousness, which is the state of non-stagnancy of the planned orders. This situation in one step of production process affects the whole system. Mathematical model, aimed at meeting the dynamic-stochastic demand developed by Tarım-Kingsman for single and multi-level inventory systems, to eliminate the weaknesses in MRP, adapted to MRP. By this method, order amounts and periods determined those would give the optimum result. In addition, the study of Tarım-Kingsman that determines, at the beginning of the planning, up to which upper limit the orders have to be recieved has a potential to take the system nervousness away from the MRP system.

Özet

Çok yaygın olarak kullanımına rağmen MRP sistemleri hala birçok zayıfığı bünyesinde taşımaktadır. Birincisi, talepteki belirsizliğin MRP modellerine etkin şekilde katılmamasıdır. Belirsizlik gösteren talebin, olasılık dağılım fonksiyonu yerine, beklenen talep olarak MRP modelinde dikkate alınması, optimal çözümden sapmalara neden olmaktadır. İkinci sorun ise, MRP’de sistem sinirliliğidir; planlanan siparişlerin durağan olmaması durumudur. Üretim sürecinin bir aşamasındaki durağan olmama durumu tüm sistemi olumsuz etkilemektedir. MRP’deki zayıflıkları giderebilmek için Tarım-Kingsman’ın tek ve çok kademeli stok sistemleri için dinamik-stokastik talebi karşılamaya yönelik geliştirdiği matematiksel model MRP sistemlerine uyarlanmıştır. Bu yöntemle, MRP’de optimum sonucu verecek sipariş miktarları ve zamanları tespit edilmiştir. Hangi dönemde, hangi üst sınıra kadar sipariş verilmesi gerektiğini planlama ufkunun başında belirleyen Tarım-Kingsman’ın çalışması MRP sistemini de sinirlilikten uzaklaştıracak potansiyele sahiptir.

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Cite This Article

ULUPINAR, M., TARIM, Ş. A. (2022). An Optimizasyon Model for Material Requirement Planning Under Stochastic Dynamic Demand. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 23 - Sayı: 2, 235–256. https://ajindex.com/articles/533288

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