工业组产品在SEI MANGKEI工业区下游棕榈油产能优化模型

Indrani Dharmayanti, H. Hardjomidjojo, A. Fauzi, Dedi Mulyadi
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引用次数: 3

摘要

在Sei Mangkei发展棕榈油产业集群是实现下游计划的一步,通过综合管理提高附加值和竞争力。为了优化发展,需要从潜在产业的选择开始进行规划,并以原材料的可获得性为约束,计算如何优化产能。采用指数比较法进行产品选择,结果表明工业食用油、人造黄油、基础油脂化学品、表面活性剂、生物柴油、工业肥皂、液体肥皂、洗发水和洗涤剂以及沼气和动物饲料是工业园区的发展潜力。通过目标规划分析,确定效益和劳动成本最大、浪费最小的最优工业产能。通过优化分析,实现了利润目标,利润最大的是基础油脂化工、人造黄油、食用油、香皂。而劳勃的目标没有达到,因为劳勃的吸收率不到目标的80%。废液排放指标基本实现,废液排放比例最大的是食用油和基础油脂化工行业。该模型有望对其他集群发展中的产业容量计算模型提供借鉴。关键词:目标规划、产业园、优化、棕榈油产业集群
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MODEL OPTIMASI KAPASITAS INDUSTRI PADA KLASTER INDUSTRI HILIR KELAPA SAWIT DI KAWASAN INDUSTRI SEI MANGKEI
Palm oil industrial cluster development in Sei Mangkei is a step to realize the downstream programme, increase the added value and competitiveness through integrated management. To optimize the development, it is necessary to make the planning starting from the selection of potential industries, as well as calculate how optimal capacity, with the availability of raw materials as constraints.  The selection of products is done with the exponential comparison method with the result that industrial cooking oil, margarine, basic oleo chemicals, surfactants, biodiesel, industrial soap, liquid soap, shampoo and detergents, as well as biogas and animal feed were potential for development in the industrial park. The goal programming analysis was performed to determine the optimal industrial  capacity that provide maximum benefit and labo u r, and minimal waste produces. Based on the optimization analysis, the profits target was achieved and the largest profits derived from basic oleochemical industry, margarine, cooking oil, and soap bars. While labo u r targets were not achieved, because labo u r absorption  less than 80% of the target. The target of waste was achieved,  and the largest proportion of liquid waste was produced by cooking oil and basic oleochemicals industry. This model is expected to illustrate the capacity calculation model of industry in other cluster development. Keywords: goal programming, industrial park, optimization, palm oil industrial cluster,
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