Optimization of Eggtray Raw Material Mixing Process Using Genetic Algorithm Case Study: PT. Sinar Era Box Gresik

Adi Kriswanto, Syariful Alim, Fardanto Setyatama
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Abstract

The  rapid  development  of technology  and the increasingly  fierce  competition  between  companies  in this globalization era, requires that the company's performance runs professionally and appropriately. PT. Sinar Era Box  is one of the avalan paper processing company located in Gresik. The company has several divisions, one of which is  industrial packing division that uses paper waste such as egg shelves (eggtray). But the  company is still less than  optimal  in  the  process  of  mixing  eggtray  raw  materials.  So that  in  the  process  and the  results  of  its  production  sometimes experience delays and does not meet market demand. Genetic algorithm is one of algorithm to find solution  of combination optimization problem, that is get optimal solution value to a problem having many solution possibilities.  From the results of research that has been done has successfully built an Optimization System Process Mixing Raw  Material Eggtray using genetic algorithm  that  can be  used to find optimal  value solution  done mixing process  of  eggtray raw materials. 
基于遗传算法的蛋盘原料混合过程优化——以PT. Sinar Era Box Gresik为例
在这个全球化的时代,科技的飞速发展和企业之间日益激烈的竞争,要求企业的绩效运行专业、恰当。PT. Sinar Era Box是位于Gresik的avalan纸加工公司之一。该公司有几个部门,其中一个是工业包装部门,利用鸡蛋架(蛋盘)等废纸。但该公司在蛋盘原料的混合过程中仍然不够理想。以致其生产过程和结果有时会遇到延误和不符合市场需求。遗传算法是求解组合优化问题的一种算法,即对具有多种可能解的问题求最优解值。根据已有的研究成果,利用遗传算法成功构建了原料蛋盘混合过程优化系统,该系统可用于寻找原料蛋盘混合过程的最优值解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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