Optimizing Cost of Sugarcane Logging and Transportation to Milling Using Iterative Fuzzy Inference System

Abstract

The problem in this research is optimizing logging distribution from three sugarcane plantation locations to three sugar mill locations. In the existing method, each sugar factory location is only supplied by one plantation location, which is located closest to the factory location. This article proposes the Iterative Fuzzy Inference System (IFIS) method to optimize the cost. IFIS used two FIS. The first FIS was carried out iteratively to find the best factory priority as a destination for delivery of logged sugarcane. The second FIS was conducted to find the best log quantity from each plantation to be sent to each mill. This research contributes to optimization. On the plantation side, the harvested products from one plantation are sent to all the mills that need them, and on the mill side, the mill only accepts sugar cane shipments as needed, so no sugar cane has to wait long in the mill.