Yapay Zeka ve Makine Öğrenmesi Tekniklerinin Lojistik Sektöründe Kullanımı

Aylak, Batin Latif; Oral, Okan; Yazici, Kübra

doi:10.31202/ecjse.776314

Cited by 20 publications

(5 citation statements)

References 38 publications

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“…The use of 5G technology in warehouse operations has enhanced warehouse efficiency by reducing transportation times, human errors, and accidents in warehouses [199]. Artificial intelligence, autonomous robots, and 5G are important technologies that boost the perfect order fulfillment rate and shorten the order fulfillment cycle time [200]. Using robots has shortened production cycle times [201].…”

Section: Discussionmentioning

confidence: 99%

Measuring Supply Chain Performance as SCOR v13.0-Based in Disruptive Technology Era: Scale Development and Validation

Özkanlısoy,

Bulutlar

2023

Logistics

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Background: Supply chain performance measurement is an integral part of supply chain management today, as it makes many critical contributions to supply chains, especially for companies and supply chains to identify potential problems and improvement fields, evaluate the efficiency of processes, and enhance the health and success of supply chains. The purpose of this study is to contribute to future research and practical applications by presenting a more standard, comprehensive, and up-to-date measurement scale developed based on the SCOR model version 13.0 performance measures in the disruptive technology era. Methods: The study was performed in seven stages and the sample size consists of 227 companies for pilot data and 452 companies for the main data. The stages comprise item generation and purification, exploratory factor analysis for the pilot study and main study, confirmatory factor analysis for the main study, convergent, discriminant, and nomological validity appraisal, and investigation of bias effect. Results: The scale was developed and validated as a five-factor and thirty-one item structure. Conclusions: Some key trends and indicators must be followed today to perceive the landscape of future supply chains. This measurement scale closely follows the future supply chains. Additionally, the findings have been confirmed by the contributions of disruptive technologies and the conceptual structure of supply chain management.

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Section: Discussionmentioning

confidence: 99%

Measuring Supply Chain Performance as SCOR v13.0-Based in Disruptive Technology Era: Scale Development and Validation

Özkanlısoy,

Bulutlar

2023

Logistics

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“…It is stated that consumers are generally optimistic about TOGG tools, but the results of this study do not represent all consumers, and more comprehensive research is needed. It is stated that autonomous vehicles entered our lives with Tesla brand cars by Elon Musk [76]. Şener (2023) [77] provides a comprehensive literature review on current studies in autonomous shared vehicle management systems, shedding light on the developments and challenges in this field.…”

Section: Literature Review Research Model and Hypothesesmentioning

confidence: 99%

Autonomous Vehicle Technology and Technology Acceptance: The Role of Technological Readiness on Consumers' Attitudes Towards Driverless Cars and Intention to Use in the Future

Bilici,

Türkoğlu

2024

Fırat Üniversitesi Mühendislik Bilimleri Dergisi

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Autonomous (driverless) cars, which have entered the automotive industry with the developments in automotive and the advancement of artificial intelligence technologies, are rapidly finding a place in the marketing field. At this point, there are factors affecting consumers' concerns and willingness to use autonomous vehicles. In order to discover these factors, the readiness of consumers and the aspects in which they are ready for this technology are issues that need to be investigated. As a result of this situation, consumers' readiness to use autonomous vehicles, their attitudes toward using them, and their intentions to use them in the future are essential. This study aims to reveal the factors affecting consumers' attitudes and intentions towards using autonomous cars. Research data was collected via an online survey method. The convenience sampling method was used in the research. The research model was tested by structural equation modeling using Smart PLS. As a result of the research, it was found that discomfort and distrust dimensions significantly and negatively affected consumers' attitudes towards usage. It was found that the dimensions of optimism, innovativeness, and anthropomorphism significantly and positively affected consumers' attitudes toward use, and users' attitudes towards use significantly and positively affected their intention to use. The research results show that brands that put autonomous cars on the market should give importance to improvements in the dimensions of optimism, innovation, and anthropomorphism and should make improvements that will eliminate consumers' discomfort and insecurity.

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“…Yapay zekâ, zeki makinelerin zeki bilgisayar programları yapma bilimi ve mühendisliği olarak John McCarthy tarafından tanımlanmıştır. Silage'ye göre ise sezgisel programlama temelinde olan yaklaşım olarak görülürken Popov'a göre ise insanların yapmış oldukları çalışmaları bilgisayarlara yaptırabilme olarak tanımlanmaktadır [8]. Axe'nin görüşü ise yapay zekâyı akıllı programları hedefleyen birim şeklindedir [9].…”

Section: Introductionunclassified

“…Makine öğrenmesi yapay zekânın bir alt kümesi olarak yer alırken derin öğrenme ise makine öğrenmesinin bir alt kümesi olarak yer alır. Yani tüm makine öğrenmesi uygulamaları yapay zekâ olarak sayılır [8].…”

Section: Introductionunclassified

Tarım Arazilerinde Harcanan Su Miktarını Yapay Zekâ Teknikleri Kullanarak Belirlenmesi1

ÇİÇEKDEMİR¹,

Bayrakçı²,

Özkahraman³

2021

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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Ülkemizde ve dünyada en önemli problemlerden birisi de su problemidir. Su tüketiminin en çok olduğu alanlar arasında tarım sektörü gelmektedir. Tarımda sulamada kullanılan önemli yöntemlerden birisi de damla sulama yöntemidir. Damlama sulama sisteminde bitkilerin köküne su vererek büyümesi sağlanarak daha az su tüketilmesi sağlanmaktadır. Ayrıca önemli noktalardan birisi de her bitkinin su ihtiyacının farklı olmasıdır. Çalışmada örnek bölgelerden ve açık erişimli internet sitelerinden toplanan İl, ilçe, bitkinin türü gibi veriler ışığında tespit edilen su harcama miktarına göre veri seti oluşturulmuştur. Elde edilen veri seti üzerinde farklı yapay zekâ algoritmaları kullanılarak harcanan su miktarı tahmin edilmeye çalışılmıştır. En doğru sonucu veren yapay zekâ modeli için ara yüz programı hazırlanarak kullanıcının ara yüz programından girmiş olduğu değerlere göre en doğru su harcama miktarını veren ve sonucu ekranda görüntüleyen bir sistem oluşturulmuştur.

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Yapay Zeka ve Makine Öğrenmesi Tekniklerinin Lojistik Sektöründe Kullanımı

Cited by 20 publications

References 38 publications

Measuring Supply Chain Performance as SCOR v13.0-Based in Disruptive Technology Era: Scale Development and Validation

Measuring Supply Chain Performance as SCOR v13.0-Based in Disruptive Technology Era: Scale Development and Validation

Autonomous Vehicle Technology and Technology Acceptance: The Role of Technological Readiness on Consumers' Attitudes Towards Driverless Cars and Intention to Use in the Future

Tarım Arazilerinde Harcanan Su Miktarını Yapay Zekâ Teknikleri Kullanarak Belirlenmesi1

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