Bulanık Maliyet Parametreleri Altında Tedarik Zinciri Yönetimi için Şans Kısıtlı Programlama Modeli

Abstract

Tedarik zinciri yönetiminde koordinasyon, sistemin etkinliği açısından en kritik konulardan biridir. Koordinasyon düzeyine bağlı olarak tedarik zincirleri merkezi veya merkezi olmayan (desantralize) yapılar olarak sınıflandırılabilir. Merkezi modelde tek bir karar verici, tüm tedarik zincirinin performansını optimize etmeyi amaçlayarak toplam maliyetleri en aza indirmeye ve sistem genelinde verimliliği artırmaya çalışır. Buna karşılık merkezi olmayan modelde zincirin her bir üyesi kendi kârını maksimize etmeye yönelik bağımsız kararlar alır. Bu çalışmada, bulanık üretim maliyeti parametreleri altında faaliyet gösteren tedarikçi ve perakendeciden oluşan iki aşamalı bir tedarik zinciri yapısı incelenmiştir. Belirsizliğin ele alınabilmesi amacıyla bulanık şans kısıtlı programlama (Fuzzy Chance-Constrained Programming – FCCP) yöntemi kullanılarak hem merkezi hem de merkezi olmayan yapılar için toplam kârı maksimize eden optimal sipariş miktarları belirlenmiştir. Literatürde çoğu çalışma bu iki yapıyı ayrı ayrı ele alırken, bu araştırmada FCCP yöntemi güvenilirlik (credibility) teorisi ile kullanılarak her iki koordinasyon mekanizmasını karşılaştırmalı bir çerçevede inceleyen bütünleşik bir yaklaşım sunulmuştur. Ayrıca merkezi olmayan modelde, bağımsız karar vericilerin çatışan hedeflerini temsil edebilmek amacıyla hedef programlama yapısı kullanılmıştır. Önerilen bu bütünleşik yaklaşım, belirsizlik altında tedarik zinciri koordinasyonuna yönelik karar verme süreçlerine hem yöntemsel yenilik hem de uygulamaya dönük önemli katkılar sağlamaktadır.

Keywords

• tedarik zinciri
• merkezi olmayan yapı
• merkezi yapı
• şans kısıtlı programlama
• güvenilirlik teorisi

CHANCE CONSTRAINT PROGRAMMING MODEL FOR SUPPLY CHAIN MANAGEMENT WITH FUZZY COST PARAMETERS

Abstract

Coordination is one of the most critical challenges in supply chain management. Depending on the level of coordination, supply chains can be categorized as either centralized or decentralized. In a centralized model, a single decision-maker seeks to optimize the performance of the entire supply chain by minimizing overall costs and maximizing system-wide efficiency. In contrast, in a decentralized model, each member independently pursues its own profit objectives. This study examines a two-stage supply chain structure consisting of a supplier and a retailer under fuzzy production cost parameters. To address the uncertainty, the fuzzy chance-constrained programming (FCCP) method is applied to determine the optimal order quantities that maximize the total profit in both centralized and decentralized settings. Unlike most previous studies that analyze these structures separately, this research provides a comparative framework integrating FCCP with credibility theory across both coordination mechanisms. In addition, the decentralized model incorporates a goal programming structure to capture the conflicting objectives of independent members. This unified approach offers both methodological novelty and practical insights for decision-making under uncertainty in supply chain coordination. 

Keywords

• supply chain
• decentralized
• centralized
• chance constraint programming
• credibility theory

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