Optimizing cost of sugarcane logging and transportation to milling using iterative fuzzy inference system

Utomo, Adi Heru, Sarno, Riyanarto, Ginardi, R. V. Hari and Yaqin, Muhammad Ainul (2022) Optimizing cost of sugarcane logging and transportation to milling using iterative fuzzy inference system. International Journal of Intelligent Engineering and Systems, 15 (5). pp. 566-578. ISSN 2185-3118

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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.

Item Type:	Journal Article
Keywords:	sugarcane logging cost; sugarcane transportation cost; cost optimization; waiting time optimization; iterative fuzzy inference system
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences
Divisions:	Faculty of Technology > Department of Informatics Engineering
Depositing User:	Muhammad Ainul Yaqin
Date Deposited:	31 Aug 2022 10:45

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