Tea Purchase Center and Factory Matching with Fuzzy Logic Approach in Tea Production
Abstract
Although countries are focused on the production and export of advanced technologies, defense and other industries, such as petroleum natural gas and metal products, they must maintain both economically and at least self-sufficient agricultural production. If the case will be examined in terms of Turkey, Turkey has a large and suitable area for agricultural activities. Turkey is a country where agricultural activities are carried out widely and effectively. Tea is one of the agricultural products produced in Turkey. An important point to be considered during the transportation of wet tea is that wet tea is a plant that burns very quickly and becomes unusable. Within the scope of this study, two provinces (Artvin and Rize), which are permitted by the government for planting tea, were taken into consideration to match factory-tea purchase unit location by fuzzy c-means clustering method. The use of clustering approach reduced the size of the problem and provided an easier solution. As a result of the analyses, more tea purchasing centers were assigned to some factories. The study shows that in addition to agricultural production, a correct structuring is required for the processing of agricultural products, such as the distribution of production areas and the location of processing facilities.
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References
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