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Jumputan Wastewater Optimization Model Using Green Logistic Network Approach

机译:利用绿色物流网络方法的Jumputan废水优化模型

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Jumputan traditional textile industry produce extensive residual waste water beside their main products, traditional fabrics. Over the years, the local government and jumputan producers gave high attention in reducing the bad effect of these wastewater and to protect the environment at the same time. Various techniques appeared in literature to model the problem, one is green logistics network optimization model. This paper proposes the use of network optimization model in optimizing the wastewater treatment processing. The green logistics network approach is used in building the prototype application that used to optimize the waste bank processes. The sensitivity test was conducted on model parameters, i.e. buying price of wastewater, and selling price of clean water produced. The sensitivity analysis was done for Waste Bank parameters in the proposed prototype. From the result of sensitivity test, the optimal solution of Waste Bank operation was modeled. Several insights were observed from the problem, and the optimal production rate and schedule were achieved in the highest profit level. Besides that, the optimal combination of purchasing price of wastewater and selling of clean water at below local water company (PDAM) rate also determined, therefor craftsmen could buy cheaper water to get higher profits.
机译:Jumputan Traditional Textile Industry在其主要产品中产生广泛的残余废水,传统的织物。多年来,当地政府和牛头敦生产商在减少这些废水的不良效果并同时保护环境。各种技术出现在文献中来模拟问题,一个是绿色物流网络优化模型。本文提出了在优化废水处理加工方面使用网络优化模型。绿色物流网络方法用于构建用于优化废物银行流程的原型应用程序。灵敏度试验在模型参数上进行,即废水的购买价格,并销售清水的价格。在所提出的原型中的废物银行参数进行敏感性分析。从灵敏度试验的结果,建模废物堤操作的最佳解决方案。从问题中观察到了几个见解,并且在最高利润水平中实现了最佳的生产率和时间表。除此之外,废水采购价格的最佳组合和当地水公司下方的清洁水(PDAM)率也确定,工匠可以购买更便宜的水,以获得更高的利润。

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