Analysis of Overall Equipment Effectiveness in Fanuc Line 1 Machines by Minimizing six big losses

Sukanta; Burhan N.;  Setiawan; Dessy Agustina Sari

doi:10.35793/joseps.v1i2.22

Analysis of Overall Equipment Effectiveness in Fanuc Line 1 Machines by Minimizing six big losses

Journal of Sustainable Engineering: Proceedings Series ◽

10.35793/joseps.v1i2.22 ◽

2019 ◽

Vol 1 (2) ◽

pp. 164-173

Author(s):

Sukanta ◽

Burhan N. ◽

Setiawan ◽

Dessy Agustina Sari

Keyword(s):

Production Process ◽

Automotive Components

The company produces several automotive components in Karawang. For the production process using Fanuc machines on Line1, but the results of evaluating the performance of the engine Fanuc Line1 engine effectiveness is not optimal. It was alleged that due to the planning and maintenance of the management machinery was not good, so that the frequency of damage to the machine was still high, which gave the effect that the production was not achieved. For this reason, the effectiveness of the use of Fanuc line1 is done by using the Overall Equipment Effectiveness (OEE) method with the Six big losses calculation approach so that the level of efficiency can be known. The results showed that the magnitude of the OEE value on Fanuc line1 machines in April – August 2018 amounted to 78.82%, this value is still below the JIPM standard of 85%. The amount of Losses is influenced by reduced speed loss of 57.47% and breakdown loss of 22.79%.

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Applications of human reliability to the production process

PsycEXTRA Dataset ◽

10.1037/e513812009-005 ◽

1967 ◽

Cited By ~ 1

Author(s):

David Meister

Keyword(s):

Production Process ◽

Human Reliability

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Optimization of the production process of special purpose pasta with the addition of carrots and pectin

Khleboproducty ◽

10.32462/0235-2508-2019-28-9-50-53 ◽

2019 ◽

Vol 28 (9) ◽

pp. 50-53

Author(s):

N.N. Martynov ◽

◽

G.A. Sidorenko ◽

G.B. Zinyukhin ◽

E.Sh. Maneeva ◽

...

Keyword(s):

Production Process

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IMPLEMENTASI JOB ORDER COSTING METHOD DALAM PERHITUNGAN HARGA POKOK PRODUKSI MAP

eBA Journal: Journal Economics, Bussines and Accounting ◽

10.32492/eba.v4i2.613 ◽

2018 ◽

Vol 4 (2) ◽

pp. 43-55

Author(s):

Ika Yulianti ◽

Endah Masrunik ◽

Anam Miftakhul Huda ◽

Diana Elvianita

Keyword(s):

Production Process ◽

Quantitative Data ◽

Production Cost ◽

Qualitative Data ◽

Cost Data ◽

Method Calculation ◽

Cost Of Production ◽

The Right ◽

The Cost

This study aims to find a comparison of the calculation of the cost of goods manufactured in the CV. Mitra Setia Blitar uses the company's method and uses the Job Order Costing (JOC) method. The method used in this study is quantitative. The types of data used are quantitative and qualitative. Quantitative data is in the form of map production cost data while qualitative data is in the form of information about map production process. The result of calculating the cost of production of the map between the two methods results in a difference of Rp. 306. Calculation using the company method is more expensive than using the Job Order Costing method. Calculation of cost of goods manufactured using the company method is Rp. 2,205,000, - or Rp. 2,205, - each unit. While using the Job Order Costing (JOC) method is Rp. 1,899,000, - or Rp 1,899, - each unit. So that the right method used in calculating the cost of production is the Job Order Costing (JOC) method

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ANALISA KESEHATAN KEUANGAN PERUSAHAAN UNTUK MEMPREDIKSI KEBANGKRUTAN PERUSAHAAN DENGAN MENGGUNAKAN METODE ALTMAN (STUDI KASUS PADA PERUSAHAAN MANUFAKTUR SEKTOR KOMPONEN OTOMOTIF YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2011 – 2015)

Jurnal Ilmiah Binaniaga ◽

10.33062/jib.v13i2.299 ◽

2019 ◽

Vol 13 (2) ◽

pp. 55

Author(s):

Indar Khaerunnisa ◽

Edy Cahyadi

Keyword(s):

Motor Vehicle ◽

Stock Exchange ◽

Secondary Data ◽

Z Score ◽

Financial Ratio ◽

Average Value ◽

Automotive Components ◽

Grey Area ◽

Financial Ratio Analysis ◽

Year 2013

The Indonesian government has set the motor vehicle industry as one of the priority industries of the national interest, economic growth, and increased productivity. In order for the survival of a company is maintained, then the management should be able to maintain or even more spur increased performance. Various analyzes were developed to predict the beginning of the bankruptcy of the company. One analysis is widely used today is the analysis of Altman Z-Score, which this analysis refers to the financial ratios of the company. The purpose of this study was to analyze the bankruptcy of the automotive components companies that go public in Indonesia Stock Exchange year period 2011–2015. This study used a sample of four companies from the automotive components sector. Source of data is done by using secondary data. The data is processed by the method of the Z-score formula Z = 1,2X1 + 1,4X2 + 3,3X3 + 0,6X4 + 0,999X5. With the description of Z < 1,8 the company categorized into unhealthy/will be bankrupt, the value Z 1,8 < 2,99 the company is considered to be in the uncertain/grey area and the value of Z > 2,99 then the company is in a very healthy. In general, the results of these studies indicate that the four automtive components companies namely PT Astra Otoparts year 2011 value of Z = 14,67 year 2012 value of Z = 10,88 year 2013 value of Z = 13,90 year 2014 value of Z = 10,54 year 2015 value of Z = 4,94, PT Gajah Tunggal year 2011 value of Z = 5,72 year 2012 value of Z = 4,75 year 2013 value of Z = 3,10 year 2014 value of Z = 2,79 year 2015 value of Z = 1,58 and the average value of 2011-2015 periode Z = 3,59, PT Goodyear Indonesia year 2011 value of Z = 2,07 year 2012 value of Z = 2,44 year 2013 value of Z = 2,57 year 2014 value of Z = 2,02 year 2015 value of Z = 2,76, PT Indomobil Sukses Internasional year 2011 value of Z = 6,19 year 2012 value of Z = 3,99 year 2013 value of Z = 3,17 year 2014 value of Z = 2,59 year 2015 value of Z = 1,74. The average value 2011-2015 period showed 3 companies are in very healthy state and 1 company is in the uncertain/grey area. Keywords: Financial Ratio Analysis, Analysis of bankruptcy, Altman Z-Score Analysis, Automotive Components Company, Go Public.

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