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    Analysis of the studies made in the field of green supply chain management by bibliometric method
    (Keai Publishing Ltd, 2024) Deste, Mustafa; Yildirim, Turgay; Yurttas, Aziz
    In this study, the studies conducted in the field of Green Supply Chains(GSC) between 2010 and 2022 in the Web of Science database were analyzed using the bibliometric method. For this purpose, 1.544 article types of 13 years between the mentioned years were obtained in the Web of Sciencedatabase. The obtained data were analyzed with the R-Studio biblioshinyprogram. In addition, the VOSviewer program was used to visualize the data. With the bibliometric analysis method, the countries with the most publications, the most cited authors, the most cited publications, and the authors with the most publications are shown. In addition to these, the most published journals, the keywords used in the publications, the publication rate by country, the citations received by years and finally the publications made according to the years were examined. As a result of the analysis, it has been understood that the popular and respected position of the Green Supply Chainsthemed studies scanned in the Web of Sciencedatabase has increased more. In addition, it has been determined that the annual number of publications has been increasing in the aforementioned theme, and it has been seen that the authors from different parts of the world have started to publish on a wider range of topics with the joint participation of authors.
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    AQL Sampling Plan Proposal Based on Two-Stage Cluster Sampling in Production Systems with High Unit Product Amount
    (Gazi Univ, 2024) Deste, Mustafa; Gunaydin, Ezgi; Yurttas, Aziz
    In this study, a proposal has been developed aimed at the establishment of an AQL sampling plan in enterprises that produce lots type with a high number of unit products and group packaging. In the developed model, two different sampling approaches were tested comparatively, based on the two-stage cluster sampling method approach. The application of the proposed model was carried out in a high-volume lots type bolt factory. In the first approach, the boxes (clusters) to be sampled were determined based on the number of boxes in the determined lot. In the second stage, the sample amount was determined by calculating the AQL over the unit number of products in the randomly selected boxes and an equal amount of sample was taken from the selected boxes. In the second approach, the boxes to be sampled were determined again based on the number of boxes in the determined lot, and the sample amount to be taken from the determined boxes was calculated based on the number of unit products in the whole lot. Trials were made for the acceptance quality limits of 2,5, 4 and 6,5 for both approaches and the acceptance/rejection statuses were compared.