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In recent years, developments in Artificial Intelligence (AI) and MachineLearning (ML) technologies have had profound effects on all sectors. The logistics industry has also become a sector where these technologies are being used to a significant extent. The emergence of intelligent logistics systems offers several opportunities for the advancement of this sector by facilitating digital transformation in supply chain and logistics. The aim of this study is to provide a comprehensive review of recent studies examining the use of AI and ML systems in the logistics industry. In this study, which is designed as a systematic study, firstly, based on the existing literature, the basic concepts, trends, researchers and countries working on AI and ML systems in the logistics sector are examined by bibliometric analysis method. Then, information about the prominent AI and ML systems in logistics is given. It is seen that the most frequently used AI and ML technologies in logistics are Deep Learning, Optimization, Internet of Things (IoT), Data Mining and Predictive Models. The methodologies presented in the study have a practical importance in increasing efficiency, transparency and planning in the logistic [ABSTRACT FROM AUTHOR]

Copyright of Journal of Administrative Sciences / Yonetim Bilimleri Dergisi is the property of Canakkale Onsekiz Mart Universitesi, Terzioglu Kampusu and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In recent years, developments in Artificial Intelligence (AI) and MachineLearning (ML) technologies have had profound effects on all sectors. The logistics industry has also become a sector where these technologies are being used to a significant extent. The emergence of intelligent logistics systems offers several opportunities for the advancement of this sector by facilitating digital transformation in supply chain and logistics. The aim of this study is to provide a comprehensive review of recent studies examining the use of AI and ML systems in the logistics industry. In this study, which is designed as a systematic study, firstly, based on the existing literature, the basic concepts, trends, researchers and countries working on AI and ML systems in the logistics sector are examined by bibliometric analysis method. Then, information about the prominent AI and ML systems in logistics is given. It is seen that the most frequently used AI and ML technologies in logistics are Deep Learning, Optimization, Internet of Things (IoT), Data Mining and Predictive Models. The methodologies presented in the study have a practical importance in increasing efficiency, transparency and planning in the logistics.

Lojistik yönetimi, özellikle ticaretin küreselleşmesi ve endüstriyel döngülerin hızlandığı bir ekonomik ortamda, ekonomik rekabet gücü, zaman ve hizmet kalitesi açısından hedeflerine ulaşmak isteyen herhangi bir şirket için stratejik bir konu haline gelmiştir. Bu gelişmeler, teknolojik alt yapıların gelişmesi, ticaret akışlarının artan karmaşıklığı, artan rekabet ve sürdürülebilir kalkınmadan kaynaklanan ekonomi eğilimlerden etkilenmiştir. Bu nedenle lojistik ağların tasarımı ve planlaması hem işletmeler hem de araştırmacılar için giderek daha önemli hale gelmiştir. Bu çalışmada, gönderilerin üreticilerin bulunduğu şehirlerden perakendecilerin bulunduğu şehirlere, doğrudan veya yerleri model tarafından belirlenecek olan bir dizi dağıtım merkezi aracılığıyla dağıtıldığı bir deterministik model oluşturulmuştur. Her varış şehrine sadece bir dağıtım merkezi atanırken, her dağıtım merkezi birden fazla varış şehrine hizmet verebilmektedir. Model, dağıtım merkezlerinin nereye yerleştirileceğine karar vermekte ve lojistik işletme maliyetini en aza indirmeyi amaçlamaktadır. Model, her bir dağıtım merkezi için kapasite kısıtını dikkate almaktadır. Problemi çözmek için genetik algoritma tabanlı bir yöntem geliştirilmiştir. Genetik algoritma modeli Python dili ile kodlanmıştır. Genetik algoritma çözümü, Genel Cebirsel Modelleme Sistemi (GAMS) tarafından elde edilen optimal çözümle karşılaştırılarak küçük boyutlu problemler üzerinde doğrulanmıştır.

In the contemporary business environment, a significant challenge is the talent shortage, particularly prevalent in logistics and supply chain management, where there is a marked deficiency of employees with the necessary skills for fundamental operations. Despite the strategic importance of women in this sector, the work environments in this field largely continue to maintain a male-dominated structure. The participation of women is crucial for developing innovative and effective supply chain solutions, yet the scarcity of experienced professionals not only compromises operational efficiency but also limits the development of new talent. In the existing literature, there are a limited number of academic studies concerning the role and importance of women in supply chain management. The aim of this study is to examine the research conducted on gender awareness in the supply chain industry through a systematic literature review and to present the current situation in this field. Employing MAXQDA for thematic analysis, this research identifies sectoral trends and thoroughly examines the content of the studies. The findings highlight the strategic significance of women in supply chain management, emphasizing that the lack of experienced female professionals poses considerable obstacles to both operational effectiveness and the cultivation of new talent. Consequently, this study advocates for increased research on gender diversity in the sector, suggesting that such efforts could substantially enhance supply chain management practices. [ABSTRACT FROM AUTHOR]

In the business sectors, which developing, growing, and highly competitive, instead of centralized administration, sharing the management can be a proper approach, in other word adopting the management that is not centralized may be the best way. Thus, surviving of the companies relate to determining the organizational responsibilities in their organizational structures in the modern and dynamic business environment. Therefore, some needs such as the existence of responsibility centers have become more important as well as the right allocation of resources, providing effective planning and controlling the income and expense of the company, and in order to improve the total performance of the company. Early on, the logistics sector, which were limited with transportation and warehousing management, some logistical activities such as purchasing management, production, stock planning, handling management, packing, order processing has become included into the scope of logistics depending on ever-increasing competition, which is one of the important results of the globalization process. In this study, as well as the actors, which exist in the logistics sectors, flows that realize in the logistics processes are defined. Afterward, importance and functions of the responsibility centers where should be existed in the structure of 3 party logistics (3PL) service providers are discussed. In this aspects, this study focuses on the definition and construction of the responsibility centers concerning with the functions that realize in the logistics processes. [ABSTRACT FROM AUTHOR]

Customers have started to want the more customized products and services recently. therefore, logistics applications should be able to respond to customer's every requirement at the highest level. On the other hand, it should be done with lowest costs that are possible. Thus, optimization applications that utilized by logistics activities need to the systems which can create excellent solutions and can continuously update these solutions. Within this scope, it can be seen that there is a correlation between creating effective solutions for the problems and speed, effectivity, and productivity of these systems. Some strong evidence shows that these technologies and systems will have become capable to conduct these logistics operations. Consequently, almost all of them will have been autonomous systems in the near future. This study focusses on developments and approaches in the fields of logistics and supply chain and it tried to show the new roles of the logistics activities that will be played in the near future. In this study, observation, and analysis methods are used, the progress that recorded by industries that demand to logistics services in this subject were taken into consideration in addition to logistics service providers. [ABSTRACT FROM AUTHOR]

Copyright of Itobiad: Journal of the Human & Social Science Researches / İnsan ve Toplum Bilimleri Araştırmaları Dergisi is the property of Itobiad: Journal of the Human & Social Science Researches and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Logistics management has become a critical part of any company that wants to achieve its goals through capacity, time, and service quality in a financial environment. These improvements have been influenced by economic tendencies stemming from the development of technological infrastructures and an increasing complication of commerce flows. Therefore, the design of logistics networks has become an important issue for both businesses and researchers. In this study, a deterministic model is created in which the shipments are distributed from origin cities to destination cities, either directly or through distribution centers whose locations will be determined by the model. While only one distribution center is assigned to each destination city, each distribution center can serve more than one destination city. The model decides where distribution centers will be located and aims to minimize logistics operating cost. The model considers capacity constraint for each distribution center. A genetic algorithmbased method has been developed to solve the problem. The genetic algorithm model is coded in Python. The genetic algorithm solution is validated on small-sized problems by comparing it with optimal solution obtained by the General Algebraic Modeling System (GAMS). [ABSTRACT FROM AUTHOR]

The purpose of this research is to examine the relationships between logistics performance, corporate governance and global competitiveness and the mediating role of corporate governance in the relationship between logistics performance and global competitiveness. For this purpose, secondary data have been used 112 countries for the years 2014, 2016 and 2018 through the Logistics Performance Index (LPI), Corporate Governance Indicators (WGI) and Global Competitiveness Index (GCI). Simple and multiple linear regression analyzes were used among the variables in accordance with the data collected. Bootstrap (resampling) technique with PROCESS Macro 4.0 was examined the mediation role of corporate governance between logistics performance and global competitiveness. The investigation revealed that corporate governance mediates the relationship between logistical performance and global competitiveness and has a considerable impact on both of these factors. The analysis's conclusions were evaluated at the level of the countries' development groups as well as from a macro perspective. The findings of this study emphasise that decision makers, leaders, and managers in countries should place more emphasis on improving the quality of policies and regulations, particularly by increasing transparency in governance, improving bureaucratic regulations for logistics businesses, and ensuring transparency of customs procedures. [ABSTRACT FROM AUTHOR]

Conquered by the Ottoman Empire in 1388; Ruse had developed and become an important city in the course of time. Ruse whose population structure changed in the 16th century and which became a Turkish-Islamic city had become the center of the Danube fleet as from the beginning of the 17th century just like in the Roman period. Ruse fell under a threat due to the wars of 1768-1774 and 1787-1792 in the second half of the 18th century. During this period, the city was fortified all around. Deep and dry ditches reinforced with rocks were excavated, shields and bastions were built. In 1773, the Russians were overwhelmed just outside of Ruse. This study examines the function of the District of Ruse in army kitchen, means of transportation, supply of soldiers, transportation of materials and soldiers during the wars that took place between 1768 and 1774. As Ruse was one of the main centers of grain supply, the grains were directly procured from Ruse and the grains collected from other districts nearby were also transported from here. During the wars; the crews, bouncer soldiers, masters and laborers employed in building bridges, a part of horses which were used to pull shallop-style small naval ships with open top and,oxcarts and gun carriages were procured from Ruse. In addition, the District of Ruse financially supported the wars. Cash was collected at certain intervals in exchange for imdâd-ı seferiyye, avârız and nüzül taxes. In this work, archival records in various catalogues in the Ottoman Archives of the Presidency are used as the main source. These records involve remarkable information about the contribution of the District of Ruse in army kitchen, means of transportation and supply of soldiers and the function of Ruse Pier in the transportation of materials and soldiers. [ABSTRACT FROM AUTHOR]

The biggest actor that determines the rules of the game: "Consumer". It can be clearly seen that no good or service product offered without considering customer requests and expectations has a chance to hold on to the market. In the modern communication world, where consumers share their experiences easily, the sloganized of the classical marketing approach, "I sell what I produce", is no longer as popular as it used to be. When the customer experiences of internet shopping, the demand level of which has increased at a remarkable rate with the pandemic, are examined, it is seen that the comments regarding the positive or negative experiences with the suppliers are at a significant level, as well as the technical features and qualities of the products. This study aims to make a qualitative content analysis and to create a roadmap for businesses operating in the relevant fields, based on consumer comments on the "Logistics service quality" components, which is defined as an important dimension of the concept of quality, which we can express as the level of meeting customer demands and expectations. The systematic literature research carried out in the study was planned in two stages. In the first stage, the frequency of preference and relations of the keywords used in the studies on the subject of the research in the literature were determined by a bibliometric analysis, and in the next stage, these determined keywords were systematically scanned in all databases. As a result of the analysis, when the encodings in the customer comments are examined; Delivery speed (143), Packaging quality (92) and Supplier reliability (85) criteria are listed respectively. When the conflicting codes are interpreted; it is seen that the codes of Delivery speed and Packaging quality are included 22 times together in the same comment text, Delivery speed and Trouble-free delivery codes are 15 times, and Delivery speed and Supplier reliability codes are 13 times together. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Intelligent Transportation Systems & Applications is the property of Journal of Intelligent Transportation Systems & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Polytechnic is the property of Journal of Polytechnic and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Itobiad: Journal of the Human & Social Science Researches / İnsan ve Toplum Bilimleri Araştırmaları Dergisi is the property of Itobiad: Journal of the Human & Social Science Researches and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Transportation & Logistics / Ulaştırma ve Lojistik Dergisi is the property of Journal of Transportation & Logistics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Beykoz Akademi Dergisi is the property of Beykoz University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Turkish Operations Management (JTOM) is the property of Ankara Yildirim Beyazit University Journal of Turkish Operations Management (JTOM) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)