An Optimize and Adaptive Modeling for Sugarcane Harvesting and Transportation

Abstract

This paper discusses sugarcane harvesting and transportation system to provide an appropriate quality and number of sugarcanes for the mill. The objectives of this research were to optimize transportation cost and sugarcane quality to produce at the mill. Harvesting and transportation system was analyzed descriptively using Business Process Modeling Notation (BPMN). A Fuzzy Subtractive Clustering (FSC) algorithm was applied to find sugarcane distribution centers for transportation to the mill. Non-dominated Search Genetic Algorithm (NSGA) II and LINMAP (Linear Programming Technique for Multidimensional Analysis of Preference) algorithm were applied to find feasible solutions to optimize sugarcane transportation cost and quality. The main contribution of the paper was formulating new transportation system and optimizing transportation cost and sugarcane quality. This paper successfully found 4 regions as distribution centers with each specific characteristic for transportation system. The best solution was found with specific number of transportation mode and scheme to minimize transportation cost and maximize sugarcane quality to process at the mill.