Reşat, Hamdi Giray

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Profile URL
https://hdl.handle.net/20.500.14365/6882
Name Variants
Resat, Hamdi
Resat, Hamdi Giray
Resat, H. Giray
Reşat, H Giray
Job Title
Email Address
giray.resat@ieu.edu.tr
Main Affiliation
05.09. Industrial Engineering
Status
Current Staff
Website
ORCID ID
0000-0002-9235-3510
Scopus Author ID
56829221400
Turkish CoHE Profile ID
5F60740FACDA3596
Google Scholar ID
cJ0v7GEAAAAJ
WoS Researcher ID
AAB-5868-2020
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Hamdi_Giray_Resat.jpg (9.51 KB)

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
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QUALITY EDUCATION4
QUALITY EDUCATION
1
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
4
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
3
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
9
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
2
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
3
Research Products
CLIMATE ACTION13
CLIMATE ACTION
7
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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
2
Research Products
Documents

8

Citations

238

h-index

6

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Documents

7

Citations

201

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Scholarly Output

14

Articles

8

Views / Downloads

41/119

Supervised MSc Theses

4

Supervised PhD Theses

0

WoS Citation Count

134

Scopus Citation Count

164

Patents

0

Projects

7

WoS Citations per Publication

9.57

Scopus Citations per Publication

11.71

Open Access Source

9

Supervised Theses

4

JournalCount
Computers & Industrıal Engıneerıng1
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi1
Environmental Footprints and Eco-Design of Products and Processes1
Ieee Access1
Internatıonal Journal of Productıon Research1
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Now showing 1 - 10 of 14
  • Thumbnail Image
    Article
    Citation - WoS: 47
    Citation - Scopus: 59
    A Novel Multi-Objective Optimization Approach for Sustainable Supply Chain: A Case Study in Packaging Industry
    (Elsevier, 2019) Resat, H. Giray; Unsal, Berkcan
    This study presents a novel two-stage hybrid solution method designed for sustainable supply chain systems and applied in packaging industry. The proposed solution algorithm includes two main stages; Analytic Hierarchy Process (AHP) method that is applied to select the most efficient suppliers by considering different performance indicators of company and a mixed-integer linear multi-objective mathematical model that is proposed to optimize the design of the sustainable supply chain in terms of total cost, time and social factors. Mathematical modelling approach and data analysis are presented to help decision makers. Minimization of cost, time; and maximization of sustainability by using augmented epsilon-constraint method are outlined by using proposed model. Pareto solution sets of the multi-objective mathematical programming problem are obtained by using GAMS language and environment. Sensitivity analyses are made to highlight the details of illustrative cases based on real-life data from packaging industry. (C) 2019 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
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    Article
    Citation - WoS: 28
    Citation - Scopus: 36
    A Bi-Objective Model for Design and Analysis of Sustainable Intermodal Transportation Systems: a Case Study of Turkey
    (Taylor & Francis Ltd, 2019) Resat, Hamdi Giray; Turkay, Metin
    This paper presents a mixed-integer linear optimisation model to analyse the intermodal transportation systems in the Turkish transportation industry. The solution approach includes mathematical modelling, data analysis from real-life cases and solving the resulting mathematical programming problem to minimise total transportation cost and carbon dioxide emissions by using two different exact solution methods in order to find the optimal solutions. The novel approach of this paper generates Pareto solutions quickly and allows the decision makers to identify sustainable solutions by using a newly developed solution methodology for bi-objective mixed-integer linear problems in real-life cases.
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    Master Thesis
    Design and Development of a Hybrid Inventory Management Tool
    (İzmir Ekonomi Üniversitesi, 2019) Düzgün, Merve; Reşat, Hamdi Giray
    Talep tahminleri, şirketlerin gelecek yıllar için plan yapabilmeleri adına çok önemlidir. Bu çalışmada, tahminleme ve envanter kontrolünden oluşan entegre bir envanter yönetimi aracı öneriyoruz. ARIMA yöntemi kullanılarak bir beyaz eşya şirketinin geçmiş talep değerlerine dayalı talep tahmini yapılmıştır. Ardından tahminlemeden elde edilen talep verileri gerçek talep verileriyle karşılaştırılmış ve sonuçlar test edilmiştir. Amaç, gerçek ve tahminleme yönteminden elde edilen talep verilerini ve Birleşik Tedarik Yöntemi (USM) metodunu kullanarak toplam tedarik zinciri maliyetini en aza indirmek için en uygun sipariş miktarını (Q) ve yeniden sipariş noktasını (R) bulmaktır. Q ve R şirketin hâlihazırda kullandığı Ekonomik Sipariş Miktarı yöntemine göre de hesaplanmıştır. Daha sonra toplam maliyet her iki yöntem içinde hesaplanmış ve karşılaştırılmıştır. Sonuç olarak, şirketin, önerilen USM metodunu kullanarak toplam maliyeti gerçek talep verileri ile yaklaşık %66, tahmini talep verileri ile de yaklaşık %49 azaltabileceği bulunmuştur. Ayrıca çeşitli analizler yapılmış ve teslimat süresi değişimi gibi bazı durumların toplam maliyeti nasıl etkilediği gözlemlenmiştir.
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    Article
    Citation - WoS: 31
    Citation - Scopus: 33
    A Discrete-Continuous Optimization Approach for the Design and Operation of Synchromodal Transportation Networks
    (Pergamon-Elsevier Science Ltd, 2019) Reşat, Hamdi Giray; Turkay, Metin
    This paper presents a multi-objective mixed-integer programming problem for integrating specific characteristics of synchromodal transportation. The problem includes different objective functions including total transportation cost, travel time and CO2 emissions while optimizing the proposed network structure. Traffic congestion, time-dependent vehicle speeds and vehicle filling ratios are considered and computational results for different illustrative cases are presented with real data from the Marmara Region of Turkey. The defined non-linear model is converted into linear form and solved by using a customized implementation of the e-constraint method. Then, the sensitivity analysis of proposed mathematical models with pre-processing constraints is summarized for decision makers.
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    Master Thesis
    A Hybrid Multi-Objective System Optimization Approach for Risk and Resilient Management in Multimodal Transportation Models
    (İzmir Ekonomi Üniversitesi, 2021) Emre, Beyza; Reşat, Hamdi Giray
    Günümüz taşımacılık operasyonlarında tek modlu taşımacılık yaygın olarak kullanılmasına rağmen taşımanın toplam maliyetini ve süresini azaltma olanağı sunması, aynı zamanda operasyonlar sırasında karşılaşılan risklere karşı esneklik sağlaması sebepleriyle çok modlu taşımacılığa yönelim artmaktadır. Farklı risk faktörleri altında taşımacılık firmalarının uğrayacakları etkileri azaltmak ve hangi risk faktörlerinin firma faaliyetleri üzerinde daha büyük etkiye sahip olduğunu saptayabilmek planlama faaliyetleri açısından oldukça önemli konumdadır. Bu çalışma kapsamında oluşturulan melez çözüm yaklaşımı çok amaçlı matematiksel model kullanılarak toplam taşımacılık zamanını, maliyetini ve karbon ayak izini minimize etmeyi amaçlarken, eş zamanlı olarak önceden tanımlanmış çok modlu taşımacılık faaliyetlerinde ortaya çıkan 7 adet risk faktörünü göz önüne alarak toplam risk etkisini minimize etmeye çalışmaktadır. Geliştirilen çok-amaçlı doğrusal karma tamsayı optimizasyon modeli epsilon-kısıt yöntemi ile çözülerek gerçek hayat veri seti ile test edilmiştir. Pareto-sonuç seti karar vericiler ile paylaşılmış ve karar vericilerin sürdürülebilir çok modlu taşımacılık faaliyetleri için alternatif risk faktörleri altında çok modlu taşımacılık faaliyetlerini planlaması ve geliştirmesi sağlanmıştır. Ayrıca, elde edilen farklı risk faktörleri altında elde edilen Pareto çözüm setleri (maliyet, zaman ve karbon ayak izi) t-dağıtılmış Stokastik Komşu Gömme (t-SNE) yöntemi kullanılarak boyut azaltımı yapıldıktan sonra makine öğrenimi sayesinde k-ortalama algoritması ile sektör kullanıcıları için alternatif risk kümeleri paylaşılmıştır.
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    Article
    Citation - WoS: 18
    Citation - Scopus: 23
    Design and Analysis of Novel Hybrid Multi-Objective Optimization Approach for Data-Driven Sustainable Delivery Systems
    (IEEE-Inst Electrical Electronics Engineers Inc, 2020) Reşat, Hamdi Giray
    This study presents a novel two-stage solution method designed for sustainable last-mile delivery systems in urban areas. A proposed hybrid solution methodology includes multi-criteria decision-making system to select the most efficient logistics providers by considering different performance indicators, and a mixed-integer linear optimization model for last-mile cargo distributions by drones within metropolitan areas. We present a multi-objective modeling approach by considering time windows for customer services and charging operations of drones and outline important characteristics of the mathematical programming problem to minimize transportation cost (in the meantime carbon dioxide emissions) and total sustainability score of the system by using epsilon constraint method to find out the Pareto frontiers. The main novelty of the proposed solution methodology is the inclusion of many performance indicators of last-mile delivery systems into multi-objective models for design of a sustainable city logistics. Additionally, the proposed model is applied to an illustrative case by using real-life data of one of the metropolitan in Turkey. The approach is shown as comparative analysis of proposed method with other two state-of-art solution methodologies for multi-objective problems, after defining some pre-processing, symmetry breaking steps, valid inequalities, and logic cuts.
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    Book Part
    Citation - Scopus: 3
    Design and Development of Robust Optimization Model for Sustainable Cross-Docking Systems: a Case Study in Electrical Devices Manufacturing Company
    (Springer, 2021) Resat H.G.; Berten P.; Kilek Z.; Kalay M.B.; Kalay, M. Batuhan; Resat, Hamdi G.; Berten, Pelin; Kilek, Zeliha
    This study presents a novel bi-objective solution methodology designed for sustainable material handling operations in cross-docking areas of companies. After successfully applied linearization techniques over a predefined non-linear model, a proposed mixed-integer linear programming model is designed by considering decrease of reception process lead-time; elimination of redundant material handling movements; as well as reduction in waiting time of pallets under sorting and transfer processes in packaging operations. We present a bi-objective modeling approach and outline linearization of the non-linear mathematical programming problem to minimize material handling cost and total sustainability score in terms of carbon dioxide emissions by using epsilon constraint method to find out the Pareto frontier. An illustrative data set collected from one of the leading electrical devices manufacturing companies is used to illustrate the proposed solution approach. The solution approach is shown as a comparative study after specifying some pre-processing and symmetry breaking measures, valid inequalities, and logic cuts. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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    Article
    Citation - WoS: 10
    Citation - Scopus: 10
    Design and Development of Hybrid Forecasting Model Using Artificial Neural Networks and Arima Methods for Sustainable Energy Management Systems: a Case Study in Tobacco Industry
    (Gazi Univ, Fac Engineering Architecture, 2020) Resat, Hamdi Giray
    This study presents a design and development of hybrid forecasting model by using ARIMA and artificial neural networks for short-term energy forecasting processes in energy management systems. Proposed model is applied into a company operating in the tobacco products manufacturing industry and reliability of the model is tested by using real-life data set in illustrative cases. In line with the results obtained from ARIMA method, some of the factors affecting electricity consumption are taken into consideration as input data for artificial neural network model. After considering the correlation between solar energy generation, working hours, production quantities and past electricity consumption data, various number of neurons and different training algorithms are tested to design the optimal system for the company. The proposed hybrid model provides around 39.9% improvement compared to forecast data obtained by using only ARIMA model.
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    Article
    Design and Analysis of Bi-Objective Flexible Job Shop Scheduling Problem: a Case Study in Construction Equipment Manufacturing Industry
    (Pamukkale Univ, 2020) Resat, Hamdi Giray
    This paper presents a design and development of mixed-integer linear optimization model for scheduling of flexible job-shop production problem under capacity constraints by using exact solution algorithm. Modelling approach is designed in order to introduce data analysis in real situations, minimize production time in production lines, reduce total production costs, and reveal important features of mathematical programming problem in detail. The main purpose of this study is to obtain faster and efficient Pareto solution sets for bi-objective problem by using epsilon-constraint method. Generated Pareto frontier using real life data is shared with decision makers. The GAMS programming language is used during the solution phase of a mixed-integer linear optimization model for bi-objective problem and production efficiency of the company is increased around 16.6% in terms of production cost.
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    Article
    Tedarik Zinciri Yönetiminde Lojistik Kümelerin Önemi: Bolu İli İçin Uygulama
    (2017) Reşat, H Giray
    Bu çalışma ile birlikte Bolu ilinde faaliyet gösteren firmaların lojistik süreçlerindeki temel ihtiyaçlarının belirlenmesi ve yapılan iyileştirme çalışmalarının lojistik kümelenme faaliyetleri için önemi araştırılmıştır. Lojistik sektöründeki farklı oyuncularının bilgi paylaşımı, eğitim ve öğrenme kabiliyetlerini kullanarak kaynak ve kapasite paylaşımı ve katma değerli hizmetlerin artırılması üzerine algılarının anket çalışmaları ile elde edilen veriler doğrultusunda detaylı incelemesi yapılmıştır. Lojistik sektörüne yoğun etkisi olan farklı değişkenler kullanılarak çeşitli aşamalarda ölçme değişmezliği testleri yardımıyla verilerin analizinin yapılması ve bölge genelinde kümelenme faaliyetlerinin üçlü sarmal yapının paydaşları için faydaları ortaya konulmuştur. Araştırma sonucunda şirketlerin sektör içerisindeki kapasite artışları veya firmaların çalışma yaşlarındaki artış çıktı değişkenleri üzerinde olumlu etkileri olduğu gözlenmiştir.