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

Demirkiran, Yeliz; Öztürkoğlu, Ömer

doi:10.19168/jyasar.616496

Cited by 3 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Istanbul (Halkalı) logistics village can also be taken as a model for big cities where the industry is developed. Demirkıran and Öztürkoğlu (2020) reached the conclusion that TR10 (Istanbul) is the region with the greatest potential in Turkey for new logistics village projects. In parallel with this result in the study, the logistics village of Istanbul (Halkalı) is in the first place according to the three methods (MAUT, EDAS and MOOSRA).…”

Section: Discussionmentioning

confidence: 99%

Assessment of the Performance of Logistics Villages Operated by the Turkish State Railways Using McDm and Dea Methods

Altin¹,

FİLİZ²

2021

Ege Akademik Bakis (Ege Academic Review)

View full text Add to dashboard Cite

Increasing competition with globalization brought along the cost problem arising from logistics activities. In this context, logistics villages play an active role in reducing costs. Logistics villages provide significant benefits to users as areas where goods from different modes of transport are transferred, arranged and prepared for transportation, and all logistics-related activities are gathered in one region. Logistics villages have begun to be established by The Turkish State Railways (TSR-Türkiye Cumhuriyeti Devlet Demiryolları) using government resources after 2006 in Turkey. The aim of this study is to assess the logistics performances of the eight logistics villages in operation by analyzing their efficiencies using Multi Criteria Decision Making (MCDM) and Data Envelopment Analysis (DEA) methods. In the study, Entropy-based EDAS, MAUT and MOOSRA methods have been used. The efficiency scores of logistics villages were calculated using output-oriented DEA models. According to CCR and BCC models, İstanbul (Halkalı) and Uşak logistics villages were found to be efficient.

show abstract

Section: Discussionmentioning

confidence: 99%

Assessment of the Performance of Logistics Villages Operated by the Turkish State Railways Using McDm and Dea Methods

Altin¹,

FİLİZ²

2021

Ege Akademik Bakis (Ege Academic Review)

View full text Add to dashboard Cite

show abstract

“…Unlike other multicriteria decision-making methods, the PROMETHEE method allows the decision-maker to use different preference functions for each criterion instead of a single preference function while comparing alternatives. In this way, if the criteria structures differ, as in real-life problems, the decisionmaker can follow a different path while evaluating the alternatives under each criterion (Demirkiran and Ozturkoglu, 2020). This section is continued with subsections of AHP, PROMETHEE and implementation of methods.…”

Section: Methodsmentioning

confidence: 99%

Blockchain technology in foreign trade management: which blockchain alternative is more suitable?

Topcu,

Can,

Özçınar

2023

DPRG

View full text Add to dashboard Cite

Purpose This study aims to determine the order of importance of blockchain technology gains for foreign trade management. The second aim of the research is to select the most suitable blockchain type for the foreign trade process. Design/methodology/approach The data required for the research analysis were collected through comparison matrices scored by foreign trade experts. The data were analyzed with the analytical hierarchy process method, and the gains of blockchain technology for the foreign trade process were prioritized. Finally, the most suitable type of blockchain technology was selected with the PROMETHEE method. Findings As a result of the study, subject matter experts perceived that the most critical blockchain gain for the foreign trade process would be cost savings. In addition, it has been observed that the general trade process differs compared to the logistics and payment processes. Finally, open blockchain was the most suitable blockchain type for foreign trade processes. Research limitations/implications In this study, the positive gains of blockchain technology are considered. In future studies, it is recommended to consider the existing negative factors to be able to use blockchain technology in foreign trade processes. In addition, it is suggested to conduct a study by dividing foreign trade into two, import and export. Practical implications All stakeholders who want to integrate blockchain technology into their foreign trade processes, including foreign trade companies, software developers, policymakers and international institutions, can benefit from the results of this study. A blockchain technology software created for foreign trade management can be shaped according to the results of this study. Originality/value Although the gains that blockchain technology provides to foreign trade processes are frequently emphasized in the literature, which gain would be greater has not been examined. The lack of an answer to the issue of how blockchain technology should be designed for foreign trade processes has been the missing part of the relevant literature. To the best of the authors’ knowledge, this study is the first experimental study in the literature that prioritizes blockchain gains and selects the appropriate blockchain type for foreign trade processes.

show abstract

“…Notteboom (2011) used MCA (multi-criteria analysis) method for the select three container hub port locations in South Africa [21]. Istanbul has emerged as the most suitable region for the logistics center located in all scenarios [31]. Dumlu and Wolff (2021) used the MOORA method, one of the MCDM methods, to determine the efficiency of 11 logistics centers whose construction was completed by the Turkish state railways [32].…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Entropy Based COPRAS Method in Determining the Investment Priorities of Logistics Centers in Survey and Planning Stage in Turkey

Şengül

2022

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi

View full text Add to dashboard Cite

Logistics center is logistics regions that are connected to all kinds of transportation networks, have low-cost, fast, and safe transfer equipment between different transportation modes, and have a direct impact on the country's economy and operational efficiency. Since Turkey is geographically located on logistics routes, the establishment of logistics centers is important in terms of economic development. However, the establishment of logistics centers requires serious costs, and the return of costs takes a long time. In this respect, it is necessary to determine the investment priority of the regions that are candidates for establishing a logistics center. Considering the costs of establishing a logistics center, it is significant to research which logistics center investment priority will be given. In this study, the fuzzy entropy based COPRAS method was used to determine the order of investment priority, considering 5 logistics centers in the survey and planning stage of TSR, and 17 criteria. According to the results, the first four most important criteria in logistics center investment priority are proximity to the port, foreign trade potential, number of transport modes, and proximity to the railway. The investment priority order of logistics centers is Istanbul/Yeşilbayır, İzmir/Çandarlı, Mardin, Zonguldak/Filyos and Şırnak/Habur.

show abstract

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

Cited by 3 publications

References 19 publications

Assessment of the Performance of Logistics Villages Operated by the Turkish State Railways Using McDm and Dea Methods

Assessment of the Performance of Logistics Villages Operated by the Turkish State Railways Using McDm and Dea Methods

Blockchain technology in foreign trade management: which blockchain alternative is more suitable?

Fuzzy Entropy Based COPRAS Method in Determining the Investment Priorities of Logistics Centers in Survey and Planning Stage in Turkey

Contact Info

Product

Resources

About