Open AccessPERANCANGAN MODEL KINERJA PENGOLAHAN LIMBAH COOLANT DENGAN PENDEKATAN SYSTEM DYNAMICS ( STUDI KASUS : SEKSI MACHINING –PLANT PEGANGSAAN PT ASTRA HONDA MOTOR )
Author(s) -
Rusman Kosasih
Publication year - 2016
Publication title -
jurnal teknik industri
Language(s) - English
Resource type - Journals
eISSN - 2622-5131
pISSN - 1411-6340
DOI - 10.25105/jti.v6i3.2236
Subject(s) - coolant , engineering , machining , reuse , production (economics) , manufacturing engineering , waste management , environmental science , mechanical engineering , economics , macroeconomics
Indonesian manufacturing industries have to comply with good responsibilites of management of the environtment. Strategically, the limitation standard for quality of industrial waste water, the document of Environmental Impact Assessment, Environmental Management Effort - Environmental Monitoring is some evidence of the Government's efforts to set a good environmental management. Technically, the engineering processes to 6R (Refine - Reduce - Reuse - Recycle - Recovery - Retrieve energy) into one of the flagship activities to help realize environmental management in accordance with Government Regulation. PT Astra Honda Motor is a company engaged in manufacturing Honda motorcycles. Motorcycle production increases seizing with the growth of market needs. This results in increased production of liquid waste coolant from the machining process, exceeding the capacity of Inplant Waste Water Treatment System. Machining section develop Recycle Instalation to process waste coolant to be used again in the machining process. This research aims to design Recycle installation processing performance models with system dynamics approach. Desired processing performance indicators are indicators of quality and productivity of coolant Recycle process. The research method carried out by conducting a preliminary study, design of Causal Loop Diagram, Model design based on system dynamics approach. Verification of the model is done by determining whether the interaction variable models can reflect real events. Model validation is done by comparing the results of model performance indicator with the results performance indicator of actual processing. Several alternative processing strategies and policies expected to be made to anticipate fluctuations in production in the future while maintaining the performance indicators of quality standards of coolant recycle and productivity of Recycle process.