Lojistik Köy Kurulumunun Lojistik Hizmet Sağlayıcılar Açısından Değerlendirilmesi: İzmir Örneği

Zalluhoğlu, A.Erhan; Aracıoğlu, Burcu; Bozkurt, Sevilay

doi:10.18354/esam.39733

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…AHP is the mostly used technique in the literature. Additionally, in most of the recent studies, fuzzy sets based approaches are implemented to reflect the vagueness inherent to the real life problems (Chen, Qu 2006;Wang, Liu 2007;Yu et al 2009;Erkay-man et al 2011;Li et al 2011;Zalluhoğlu et al 2014;Önden et al 2018) Mathematical programming based approaches are also used for logictics centers' location selection problem. In 1999, Taniguchi et al (1999) proposed a vehicle routing and scheduling model and the dynamic traffic simulation model to find optimal size and location for public logistics terminals.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Dematel–if-Topsis Methodology for Logistics Centers’ Location Selection Problem: An Application for Istanbul Metropolitan Area

et al. 2020

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Logistics Centers (LCs) are among the most important facilities for rapid, cost effective, environmental friendly and secure logistics services to the urban logistics problems. Finding proper locations to LCs has an important effect on their success. In this study, LCs’ location selection problem for Istanbul Metropolitan area is investigated. Istanbul is a leading city of Turkey in many categories including various industries, import/export amounts, transportation infrastructure and population density. However, industrialization and urbanization have introduced numerous problems to Istanbul. New projects are continuously being announced for the problems of metropolis, however, they may also bring new problems if they are not punctiliously planned and applied. Hence, in this study, it is aimed to propose a systematic Multi-Criteria Decision-Making (MCDM) approach for the LCs’ location selection problem of Istanbul. In this approach, an integrated DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) and Intuitionistic Fuzzy (IF) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is utilized. DEMATEL is used to analyse the decision criteria and IF-TOPSIS is used to evaluate candidate locations for LCs. Considering the vagueness inherent to this decision-making problem, IF sets are used for the evaluation process. Results are compared with the results of IF-VIKOR (VIše Kriterijumska Optimizacija kompromisno Rešenje – multi-criteria optimization and compromise solution) technique.

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Section: Introductionmentioning

confidence: 99%

An Integrated Dematel–if-Topsis Methodology for Logistics Centers’ Location Selection Problem: An Application for Istanbul Metropolitan Area

et al. 2020

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“…However, the fuzzy TOPSIS (Uyanık, 2016;Erkayman et al, 2011) and Fuzzy AHP techniques (Chen & Qu, 2006;Wang & Liu, 2007;Goseiri & Lessan, 2008;Kayikci, 2010;Önden et al, 2018) commonly used MCDM techniques. Besides, the fuzzy VIKOR, (Zalluhoğlu et al, 2014) and the fuzzy PROMETHEE, the fuzzy SWARA and CoCoSo, (Ulutaş et al, 2020), and Axiomatic Fuzzy Set (AFS) (Li et al, 2011), Single-Valued Neutrosophic (SVNN) Multi-Attributive Border Approximation Area Comparison (MABAC) (Pamucar & Božanić, 2019) are the examples using different fuzzy MCDM methods in the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating Logistics Villages in Turkey Using Hybrid Improved Fuzzy Swara (Imf Swara) and Fuzzy Mabac Techniques

Zolfani

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Küçükönder

2021

Technological and Economic Development of Economy

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Positioning in the right location for organizing logistics activities is a determinative factor in the aspect of costs, effectivity, productivity, and performance of these operations carried out by logistics firms. The proper logistics village selection is a crucial, complicated, and time-consuming process for decision-makers who have to make the right and optimal decision on this issue. Decision-makers need a methodological frame with a practical algorithm that can be implemented quickly to solve these decision-making problems. Within this scope, the current paper aims to present an evaluation tool, which provides more reasonable and reliable results for decision-makers to solve the logistics village selection problem that is very complicated and has uncertain conditions based on fuzzy approaches. In this study, we propose the Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis (IMF SWARA), a modified and extended version of the traditional fuzzy Step-Wise Weight Assessment Ratio Analysis (F-SWARA) to identify the criteria weights. Also, we suggest applying the fuzzy Multi-Attributive Border Approximation area Comparison (F-MABAC) technique to determine the preference ratings of the alternatives. This combination has many valuable contributions. For example, it proposes to use a more reliable and consistent evaluation scale based on fuzzy sets. Hence, decision-makers can perform more reliable and reasonable pairwise comparisons by considering this evaluation scale. Besides, it presents a multi-attribute evaluation system based on the identified criteria weights. From this perspective, the proposed model is implemented to evaluate eight different logistics village alternatives with respect to nine selection criteria. According to the analysis results, while A8 is the most appropriate option, C1 Gross National Product (GNP) is the most significant criterion. A comprehensive sensitivity analysis was performed to test the robustness and validation of the proposed model, and the results of the analysis approve the validity and applicability of the proposed model. As a result, the suggested integrated MCDM framework can be applied as a valuable and practical decision-making tool to develop new strategies and improve the logistics operations by decision-makers.

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Türkiye’deki Bölgelerin Lojistik Köy Kurulması Açısından Potansiyelinin PROMETHEE II Yöntemi ile İncelenmesi

Demirkiran¹,

Öztürkoğlu²

2020

Journal of Yaşar University

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Öz: Küreselleşme ile beraber artan ticaret hacmi dünyada mal dolaşımını ve dolayısı ile lojistik faaliyetleri artırmaktadır. Bu lojistik faaliyetlerin yüksek verimlilikle gerçekleşmesinde lojistik firmalarının, depoların, aktarma merkezlerinin, gümrük firmalarının bir arada konumlandığı lojistik köyler büyük önem taşımaktadır. Lojistik köyler şehir içindeki trafik yoğunluğunu azaltmak, kombine taşımacılığı teşvik etmek, farklı taşıma modlarının bağlantılarına olanak sağlamak gibi amaçlarla kurulmaktadır. Neticede lojistik maliyetlerin düşürülmesine olanak sağlamakta ve şiddetli rekabet ortamında işletmelere daha kısa sürede ihtiyaçlarına ulaşabilme imkânı sunmaktadırlar. Lojistik köy kurmada en önemli karar yer seçimidir. Çalışmanın amacı tüm illerini kapsayacak şekilde Türkiye'nin lojistik köy potansiyelini ortaya çıkarmak ve araştırmacılara elde edilen bilgiler ışığında stratejik bir yol haritası sunmaktır. Yer seçimi kararını etkileyen 4 kriter nitelikli işgücü, ulaşım altyapısı, ekonomik ve kalkınma şeklinde belirlenmiştir. Bu 4 kriter altında 16 alt kriter ayrıca belirlenmiş, her birinin kriter ağırlıkları 24 farklı senaryo şeklinde düzenlenmiştir. Çalışmada lojistik köy yer seçimi için Türkiye'deki 81 ili kapsayan 26 (TÜİK-Düzey2) bölge belirlenen kriterler açısından nicel veriler kullanılarak değerlendirilmiştir. Değerlendirmede çok kriterli karar verme yöntemlerinden PROMETHEE II kullanılmıştır. Bütün senaryolarda İstanbul potansiyeli en yüksek bölge olarak çıkmıştır. Sonraki analizlerde nitelikli işgücü, ulaşım altyapısı ve ekonomik kriterlerin önemli olduğu senaryolarda içinde İzmir, Ankara ve İzmit'in bulunduğu TR31, TR32, TR,41, TR42, TR51 ve TR90 bölgeleri potansiyeli en yüksek bölgeler olarak tespit edilmiştir. Kalkınma kriterinin önemli olduğu senaryolarda ise Kars, Tatvan'ı içine alan sırasıyla TRA2, TRB2, TRB1, TRC1 ve TRC2 bölgeleri ön plana çıkmıştır.

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Lojistik Köy Kurulumunun Lojistik Hizmet Sağlayıcılar Açısından Değerlendirilmesi: İzmir Örneği

Cited by 4 publications

References 7 publications

An Integrated Dematel–if-Topsis Methodology for Logistics Centers’ Location Selection Problem: An Application for Istanbul Metropolitan Area

An Integrated Dematel–if-Topsis Methodology for Logistics Centers’ Location Selection Problem: An Application for Istanbul Metropolitan Area

Evaluating Logistics Villages in Turkey Using Hybrid Improved Fuzzy Swara (Imf Swara) and Fuzzy Mabac Techniques

Türkiye’deki Bölgelerin Lojistik Köy Kurulması Açısından Potansiyelinin PROMETHEE II Yöntemi ile İncelenmesi

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