Yücel, Özgün

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/12708
Name Variants
Job Title
Araş.Gör.
Email Address
Main Affiliation
01.01.09.03. Endüstri Mühendisliği Bölümü
Status
Former Staff
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ORCID ID
0000-0003-0900-297X
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Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
IHQ-5111-2023

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
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ZERO HUNGER2
ZERO HUNGER
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
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This researcher does not have a Scopus ID.
Documents

3

Citations

31

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Scholarly Output

4

Articles

3

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0/0

Supervised MSc Theses

0

Supervised PhD Theses

1

WoS Citation Count

6

Scopus Citation Count

9

Patents

0

Projects

0

WoS Citations per Publication

1.50

Scopus Citations per Publication

2.25

Open Access Source

2

Supervised Theses

1

JournalCount
An International Journal of Optimization and Control: Theories & Applications (IJOCTA)1
An International Journal of Optimization and Control: Theories & Applications (IJOCTA)1
Computers & Industrial Engineering1
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Now showing 1 - 4 of 4
  • Thumbnail Image
    Article
    Citation - WoS: 3
    Citation - Scopus: 4
    Control of M/Cox-2/s make-to-stock systems
    (RAMAZAN YAMAN, 2020) Ozgun Yucel; Oender Bulut; Yücel, Özgün; Bulut, Önder
    This study considers a make-to-stock production system with multiple identical parallel servers fixed production start-up costs and lost sales. Processing times are assumed to be two-phase Coxian random variables that allows us to model the systems having rework or remanufacturing operations. First the dynamic programming formulation is developed and the structure of the optimal production policy is characterized. Due to the highly dynamic nature of the optimal policy as a second contribution we propose an easy-to-apply production policy. The proposed policy makes use of the dynamic state information and controlled by only two parameters. We test the performance of the proposed policy at several instances and reveal that it is near optimal. We also assess the value of dynamic state information in general by comparing the proposed policy with the well-known static inventory position based policy.
  • Thumbnail Image
    Article
    Control of M/Cox-2/s make-to-stock systems
    (2020) Özgün Yücel; Önder Bulut; Yücel, Özgün; Bulut, Önder
    This study considers a make-to-stock production system with multiple identicalparallel servers fixed production start-up costs and lost sales. Processing times are assumed to be two-phase Coxian random variables that allows us to model thesystems having rework or remanufacturing operations. First the dynamicprogramming formulation is developed and the structure of the optimal productionpolicy is characterized. Due to the highly dynamic nature of the optimal policy asa second contribution we propose an easy-to-apply production policy. Theproposed policy makes use of the dynamic state information and controlled byonly two parameters. We test the performance of the proposed policy at severalinstances and reveal that it is near optimal. We also assess the value of dynamicstate information in general by comparing the proposed policy with the wellknownstatic inventory position based policy.
  • Thumbnail Image
    Article
    Citation - WoS: 3
    Citation - Scopus: 5
    Exact analysis of production lines with Coxian-2-distributed processing times and parallel machines
    (Elsevier Ltd, 2021) Özgün Yücel; Önder Bulut; Yücel, Özgün; Bulut, Önder
    This study considers production lines where each station has parallel machines with 2-phase Coxian processing times. The setting in this paper is designed specifically for scrutiny of the replenishment of raw materials and finished goods inventories with intermediate buffers in-between stations. Each buffer has a limit of capacity. Raw material supply and demand for finished goods are generated according to independent stationary Poisson processes. Coxian-2 processing times can be utilized to model failure-prone machines with exponential service times times to failure and repair times. The second phase of Coxian-2 can also be considered as a rework operation visited with a predefined probability. We model the line as a continuous-time Markov chain and propose recursive algorithms to generate the transition rate matrix. Although the general recursive form is specific to 3-station 4-buffer lines routines for calculating the number of states and generating the states work for any M−station (M + 1)-buffer systems. The developed model allows obtaining steady-state distribution and performance metrics such as throughput the average number of items in the buffers and average system cost consisting of production holding and shortage costs. Furthermore we enrich our study with numerical experiments and analyze the impacts of buffer capacities processing rates of the machines and the number of parallel machines on the system performance. Moreover the exact analysis provided in this paper can also be used as the decomposition block for the performance analysis of longer lines. © 2021 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Doctoral Thesis
    Control and Performance Analysis of Three Station Make-to-Stock Production Lines
    (2021) Yücel, Özgün; Bulut, Önder
    Üretim sistemleri üzerine yapılan çalışmalar, on yıllardır rastgelelik, müşteri gereksinimleri, üretim süreçlerinin belirli özellikleri ve sistem maliyetleri ile başa çıkmaktadır. Stoğa üretim, müşteri hizmet düzeyini artırıp üretim, envanter ve kıtlıklarla ilişkili maliyetlerin dengelenmesini kolaylaştırır. Bu çalışma, stoğa üretim ortamında seri olarak düzenlenmiş üç istasyondan oluşan üretim sistemlerinin üretim kontrolü ve performans değerlendirmesini ele almaktadır. İlk olarak, tek makineli istasyonlar, istasyonlar arasında yer alan yarı mamül stokları ve bitmiş ürün stoğu içeren üretim sistemlerinin eniyi kontrol problemleri incelenmiştir. Taleplerin bir Poisson sürecine göre geldiği bu çalışmada, son ürün stoğundan anında karşılanamayan talepler için kayıp satış bedeli ödenir. Üstel olarak dağıtılmış işlem sürelerine sahip makinelerden oluşan sistem ana model olarak tanımlanırken, genişletilmiş modellerde arıza veya yeniden işleme oluşumları olan daha karmaşık sistemleri incelemek için iki fazlı Coxian işlem süreleri dikkate alınmıştır. Çalışmanın amacı, uzun vade ortalama sistem maliyetini en aza indiren eniyi kontrol politikasını bulmaktır. Markov karar süreci kullanılarak eniyi politikaların yapısı ortaya konmuş ve çalışma çeşitli sayısal örnekler ile zenginleştirilmiştir. İkinci olarak, eniyi kontrol politikaları bulmada karşılaşılan zorlukların üstesinden gelmek adına uygulaması kolay bir politika önerilmiştir. Önerilen politika birçok durumda eniyi politikaya yakın performans göstermektedir. Performansı eniyi politikadan uzak olan durumları iyileştirmek adına, önerilen yaklaşımın geliştirilmiş bir versiyonu da dikkate alınmıştır. Tez kapsamında yapılan son çalışma, iki-fazlı Coxian işlem süreleri, paralel makineler ve sonlu tamponlar içeren üretim hatlarının kesin bir Markov analizini sunar. Hammadde tedariği ve son ürün talebinin bağımsız Poisson süreçleri uyarınca geldiği bu problem, sürekli zamanlı bir Markov zinciri olarak modellenmiş ve geçiş hızı matrisini oluşturmak için özyinelemeli algoritmalar önerilmiştir. Genel özyinelemeli form 3-istasyon 4-tampon sistemlerine özgü olmasına rağmen, durum sayısını hesaplama ve durumları üretme rutinleri herhangi bir M-istasyon (M+1)-tampon sistemi için çalışmaktadır. Geliştirilen model, kararlı durum dağılımını ve verim, sistemdeki ürün sayısı ve ortalama sistem maliyeti gibi performans ölçütlerini hesaplamaya olanak sağlar. Önerilen metodoloji, daha uzun hatların performans analizi için bir ayrıştırma bloğu olarak da kullanılabilir.