ANALISIS FAKTOR PENYEBAB RENDAHNYA EFEKTIVITAS MESIN GRINDER DI PT. LEO AGUNG RAYA SEMARANG

WIHADI, ANISA NURKUMALASARI (2007) ANALISIS FAKTOR PENYEBAB RENDAHNYA EFEKTIVITAS MESIN GRINDER DI PT. LEO AGUNG RAYA SEMARANG. Undergraduate thesis, Diponegoro University.

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Abstract

The competition in the herbal medicine industry untill now could be said increasingly tight. Plenty of good herbal medicine industries in the scale of the household and big indusri. PT. Leo Agung Raya always tried to maintain the consumer's satisfaction, both from the aspect of the quality and the accuracy in sending an order (delivery), so as the company tried to reach zero defect and zero claim in each one of their production activities. To bring about that, it’s need high production performance. The production of the herbal medicine in PT Leo Agung Raya passed various good processes manually and through machines/automation. From various processes of the production of the herbal medicine, according to the data in January to June 2008, the soft mill part produced most loss dust compared with the other part. The company tried to get the utility of equipment as optimal as possible. Together with efforts to optimize the utilization of this equipment, still was encountered by the problem that caused the equipment did not work optimally. To know how far utilization equipment of PT. Leo Agung Raya, then will be counted by the value of overall equipment effectiveness (OEE) to machines in the soft mill part. Which the machine with the lowest OEE value for the period of this calculation was the grinder machine with the range of OEE value between 3.98% to 38.87%. Therefore, in this research was investigated the root cause problem of the low level of OEE value in the soft mill process in the machine grinder. By looking for the dominant factor cause of the low level of OEE value through the multiplied regression model, afterwards will be clarified the root cause problem by using Fault Tree Analysis

Item Type:Thesis (Undergraduate)
Uncontrolled Keywords:OEE, multiple regression, FTA
Subjects:T Technology > T Technology (General)
Divisions:Faculty of Engineering > Department of Industrial Engineering
Faculty of Engineering > Department of Industrial Engineering
ID Code:35340
Deposited By:Mr/Ms teknik industri
Deposited On:06 May 2013 20:50
Last Modified:06 May 2013 20:50

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