Jumputan Wastewater Optimization Model Using Green Logistic Network Approach

Lelitasari, Anis and Herdiansyah, M. Izman and Mirza, A. Haidar and Antoni, Darius and syamsuar, dedy (2019) Jumputan Wastewater Optimization Model Using Green Logistic Network Approach. In: 3rd International Conference on Electrical Engineering and Computer Science (ICECOS) 2019, 2-3 Oktober 2019, Universitas Sriwijaya.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Jumputan, Network Optimization, Green Logistics, Cost Optimization, Waste Water
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mr Muhamad Akbar
Date Deposited:	07 Nov 2020 05:09
Last Modified:	09 Nov 2020 06:26
URI:	http://eprints.binadarma.ac.id/id/eprint/4296

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