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Abstract

This paper is describe as an effort to answer the performance improvement of container crane (CC) equipment in order to improve the performance of container terminals. One of the most important determinates of container handling efficiency is the productivity of container cranes. Optimization is done with the intention to find solutions to the performance of container crane equipment in container terminal operations. The research location is Surabaya Container Terminal and analysis is performed using Genetic Algorithms (GA). Optimization with randomize patterns is done through crossover and mutation in the GA method gives a value which fluctuates in each iteration. From the results of the analysis carried out, there are three (3) simultaneous suggestions to improve container crane performance so that the device operational service on the wharf can be optimized, namely a long wharf, the number of equipment in operation and coefficient of equipment. The decision to choose one of the options on the optimal iteration process needs to consider the conditions on container terminal today.