Bütünleşik Üretim ve Dağıtım Planlaması: İyileştirilmiş Bir Model ve Bütünleşik Planlamanın Değeri

Year 2019, , 223 - 240, 01.05.2019

Oğuz Solyalı

https://doi.org/10.25294/auiibfd.559408

Abstract

Bu
çalışma, sonlu bir planlama ufku boyunca bir üreticinin bir ürünü üretip birçok
perakendeciye türdeş bir araç filosu ile dağıttığı bir tedarik zinciri
problemini ele almaktadır. Amaç, her bir dönemde üreticideki üretim
miktarlarına, perakendecilere dağıtılacak ürün miktarlarına, kullanılacak
araçlara ve ziyaret edilecek perakendecilerin hangi araçlara atanacağına,
sistem maliyetini enazlayacak şekilde karar vermektir. Bu problem için
literatürde varolanlardan daha iyi sonuçlar veren bir karışık tam sayılı
doğrusal programlama modeli önerilmiştir. Ayrıca, üretim ve dağıtım
planlamasının bütünleşik ele alınması perakendecilerin kendi siparişlerini
verdikleri ve üreticinin planlamasını bu siparişlere göre yaptığı ardışık planlama
ile karşılaştırılmış ve bütünleşik planlamanın değeri değerlendirilmiştir.
Sayısal deney sonuçları bütünleşik planlamanın ardışık planlamaya göre ortalama
%8.9 ve en çok %28 maliyet tasarrufu sağladığını göstermektedir. 

Keywords

Tedarik Zinciri Yönetimi, Üretim Planlama, Dağıtım Planlama, Karışık Tam Sayılı Doğrusal Programlama

Integrated Production and Distribution Planning: An Improved Formulation and the Value of Integrated Planning

Abstract

This study considers a supply chain management problem in which a plant produces and distributes a product to multiple retailers using a homogeneous fleet of vehicles over a finite time horizon. The aim is to decide on the production quantities at the plant, delivery quantities to retailers, the set of vehicles to use and the assignment of retailers to vehicles in each period such that the system-wide costs are minimized. A mixed integer linear programming formulation of the problem outperforming the existing ones in the literature is proposed. This study also compares integrated production and distribution planning with the sequential planning in which retailers place their own orders and the plant makes its plan based on these orders, and assesses the value of integrated planning. The computational results indicate that average cost savings of 8.9% and maximum cost savings of 28% can be obtained with the integrated planning over the sequential planning.

Keywords

Supply Chain Management, Production Planning, Distribution Planning, Mixed Integer Linear Programming

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