Endüstri 4.0’la beraber her sektörde yeni uygulamalar geliştirilmeye başlanmıştır. Bu uygulama alanlarından bazıları; tedarik zinciri geliştirmeleri, rota optimizasyonları, Büyük Veri kullanımı, yapay zeka geliştirilmesi, akıllı depo tasarımları, robotlaşma ve otomasyon, sürücüsüz araçların hem üretim hem de sektör hizmetlerindeki gelişimidir. Tüm bu geliştirme ve teknolojiler sektörde dijitalleşme süreci gerektirmektedir. Bu çalışma Endüstri 4.0’la oluşan değişim rüzgarlarının Türkiye’deki lojistik sektöründe hangi trendleri yarattığına odaklanmaktadır. Yapılan literatür taraması, röportaj analizleri ve teknoloji, lojistik, servis ve IT tedariki, perakende gibi farklı sektörlerden 65 şirketin katılımıyla yapılan anket çalışması analizi sonucunda, 2017 ve sonrasında Türkiye lojistik sektöründeki trendlerin Supergrid Lojistik, otonom lojistik, robotik ve otomasyon, Nesnelerin İnterneti, Bulut Lojistik, Büyük Veri ve e-ticaret şeklinde sıralanabileceği sonucuna varılmıştır.

Businesses establish supply chains in order to continue their activities. Choosing the suppliers to take part in these supply chains poses many challenges in rapidly changing conditions. Environmental concerns in the public, competitive market structures, and developing technological opportunities affect the decision-making processes. Different criteria are taken into consideration instead of traditional criteria such as cost and service. In this study, green, agile, and Industry 4.0 dimensions and the criteria under these dimensions are defined. According to these, the problem of selecting the supplier that responds to the expectations of the markets and enables them to increase their competitiveness was discussed. Fuzzy SWARA and fuzzy BMW methods were applied in an integrated way to solve the supplier selection problem under these three dimensions. A real case study was also presented. In the study, the results obtained by creating different scenarios were compared and sensitivity analysis was made. The results obtained show that the hybrid method developed in this study is effective in supplier selection problems. As a result of the study, the most important evaluation dimension is "agile" and the most important criterion is "delivery speed".

Blockchain technologies (BT) began to be used in many areas because of the many advantages they offer. In this respect, BT applications take place in different types of supply chains. One of the areas where blockchain is used is the food supply chain (FSC). FSC is a general concept that also covers different types such as agri-FSC and cold chain. These supply chains need the advantages of modern BT for crucial reasons such as the products’ time-dependent nature and direct impact on human health. We evaluate the use of blockchain applications in the field of FSC in order to provide a deep understanding of problems inherent to the FSC and present insights to companies into developing and implementing their own blockchain-driven solutions to address the FSC performance challenges. As the FSC is a complex and dynamic system, where multi-stakeholders are involved, a systematic approach should be established to reveal the BT integration behavior of the FSC. An extensive literature review was conducted within the scope of the study. A critical review of the studies shows which BT applications are used in the FSC chain to drive supply chain performance, their application areas, and main problems in various aspects in the applications. Using the causal loop diagram (CLD) as a system dynamics approach, the interrelationship of causes and effects is visualized and prescriptive information is generated to guide researchers and practitioners in the field of new technology adoption in FSCs in general and BT integration in particular. This study is intended to encourage the use of BT in FSC applications.