scholarly journals Analisis Pengendalian Kualitas Kain Oxford Lebar (TR30/TR16 124 44 62) Menggunakan Software R dengan Metode Statistical Process Control pada Produksi Line 1 (Studi Kasus: PT Sari Warna Asli Unit 1, Karanganyar)

2021 ◽  
Vol 1 (1) ◽  
pp. 24-31
Author(s):  
Windi Tri Jayanti ◽  
Indah Pratiwi
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Statistical Process ◽  
Fishbone Diagram

PT Sari Warna Asli Unit 1 adalah sebuah perusahaan tekstil unit finishing yang merupakan salah satu unit perusahaan PT Sari Warna Asli Group. Produk dari perusahaan dipasarkan tidak hanya lokal namun juga mancanegara sehingga perusahaan membuat produk dalam skala besar. Dalam proses produksi, perusahaan tidak jarang mengalami masalah kecacatan produk yang jumlahnya sangat besar. Kecacatan produk menyebabkan nilai jual dari perusahaan menurun dan terjadi keterlambatan pengiriman karena produk cacat memerlukan proses ulang untuk perbaikan. Penelitian ini dilakukan untuk mengetahui jenis kecacatan produk yang paling dominan menggunakan diagram pareto dan mengetahui apakah jenis kecacatan dominan tersebut terkendali atau tidak menggunakan peta kendali p software R sehingga dapat dianalisis penyebabnya menggunakan fishbone diagram dan diberikan usulan perbaikan untuk meminimalisir jumlah kecacatan tersebut. Metode yang digunakan yaitu pengendalian kualitas dengan Statistical Process Control (SPC). Berdasarkan hasil penelitian, jenis kecacatan produk kain oxford kontruksi TR30/TR16 124 44 62 bulan Juli 2021 yang paling dominan yaitu flek obat sebesar 1361 yard atau sebanyak 25%. Dari peta kendali atribut p, diketahui bahwa jenis kecacatan flek obat tidak terkendali. Setelah dianalisis akar masalah menggunakan fishbone diagram, diketahui faktor-faktor penyebab dari flek obat yaitu tenaga kerja, metode, lingkungan kerja, bahan baku (grey) dan mesin.

Analisis Kecacatan Plastik Menggunakan Statistical Process Control (Studi Kasus Pada Pt. Xyz)

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Rosnani Ginting ◽  
Kartini Putri
Keyword(s):  
Process Control ◽  
Product Quality ◽  
Statistical Process Control ◽  
Scatter Diagram ◽  
Statistical Process ◽  
Fishbone Diagram ◽  
Control Department ◽  
Quality Check ◽  
Make To Stock ◽  
Quality Control Department

PT. XYZ adalah perusahaan manufaktur yang menjalankan perusahaan mereka dengan memproduksi plastik. Produksi hanya akan berjalan jika konsumen membuat permintaan atau permintaan itu atau biasanya kita menyebutnya dengan syarat stok. Secara umum, perusahaan ini telah melakukan pengecekan kualitas terhadap kualitas produk. Dan kualitas produk ini diperiksa oleh jaminan kualitas dan departemen kontrol kualitas. Namun, terkadang beberapa cacat masih ditemukan pada produk tersebut. Tujuan dari penelitian ini adalah untuk menganalisis jumlah dan jenis cacat serta mencari solusi bagaimana menguranginya. Dengan ini, kami berharap kualitas produk akan tetap stabil dan keuntungan perusahaan akan meningkat. Metode yang digunakan adalah Statistical Process Control (SPC). SPC adalah alat yang digunakan untuk menganalisis cacat dalam suatu masalah. Alatalat dalam Kontrol Proses Statistik adalah stratifikasi, lembar periksa, histogram, diagram kontrol, diagram sebar, diagram pareto dan diagram tulang ikan.   PT. XYZ is a manufactur company that run their company by produce plastic. Production will only going if the consument make demand or request of it or usually we called it by make to stock term. Generally, this company has done the quality check to the product quality. And this product quality check by quality assurance and quality control department. However, sometimes some defect is still be found in that product. The objective of this research is to analyze the amount and the type of the defect and also find the solution how to reduce it. With this, we hope that product quality will keep stable and company’s profit will increase. The method that being used is Statistical Process Control (SPC). SPC is a tool that be used to analyze the defect in a problem. The tools in Statistical Process Control are stratification, check sheet, histogram, control chart, scatter diagram, pareto diagram and fishbone diagram.

scholarly journals STATISTICAL PROCESS CONTROL (SPC) UNTUK PENGENDALIAN KUALITAS PRODUK MEBEL DI UD. IHTIAR JAYA

2020 ◽  
Vol 6 (1) ◽  
pp. 50
Author(s):  
RICKI ELYAS ◽  
WIWIK HANDAYANI
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Chart ◽  
Control Method ◽  
Statistical Process ◽  
Dominant Type ◽  
Fishbone Diagram ◽  
Teak Wood ◽  
Product Defect

ABSTRACT The influence of globalization in the industrial world today has led to intense and competitive competition between companies. UD. Ihtiar Jaya is a manufacturing company engaged in furniture, especially those made from teak wood. The company serves retail product sales, as well as servicing or renovating various types of furniture. To be able to produce good quality, quality control activities are carried out. This research aims to determine the number of defective furniture products and the most dominant type of defects at UD. Ihtiar Jaya, to analyze the implementation of quality control at UD. Jaya Jaya uses Statistical Process Control in an effort to reduce the number of defective products, and to identify what factors cause damage/defects in products manufactured by UD. Ihtiar Jaya.In this research, the sample used was the number of defects in furniture products at UD. Ihtiar Jaya in 2018. The technique of determining this sample uses purposive sampling. This research uses the Statistical Process Control method, namely check sheet, pareto diagram, control chart, and fishbone diagram.Based on the results of the check sheet, it was concluded that the average product defect was 10.38% per month. From the results of the Pareto diagram can be seen that the highest level of defects is scratched with a total of 104 units or 61.18% of the total defective products in 2018. While the results of the control chart that have been made can be seen that the quality control is not controlled and not in accordance with standards. From the results of fishbone diagram concluded that the factors that cause product defects are human factors, production machinery, materials, work methods, and work environment.

APPLICATION OF SPC AND GROWTH MODELS ON THE ECONOMIC TRAJECTORY OF THE LEATHER AND FOOTWEAR INDUSTRY

2020 ◽  
Author(s):  
Mario Lesina ◽  
Lovorka Gotal Dmitrovic
Keyword(s):  
Human Capital ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Charts ◽  
Growth Models ◽  
Pearson Correlation ◽  
Small Companies ◽  
Statistical Process ◽  
Production Staff ◽  
Footwear Industry

The paper shows the relation among the number of small, medium and large companies in the leather and footwear industry in Croatia, as well as the relation among the number of their employees by means of the Spearman and Pearson correlation coefficient. The data were collected during 21 years. The warning zone and the risk zone were determined by means of the Statistical Process Control (SPC) for a certain number of small, medium and large companies in the leather and footwear industry in Croatia. Growth models, based on externalities, models based on research and development and the AK models were applied for the analysis of the obtained research results. The paper shows using the correlation coefficients that The relation between the number of large companies and their number of employees is the strongest, i.e. large companies have the best structured work places. The relation between the number of medium companies and the number of their employees is a bit weaker, while there is no relation in small companies. This is best described by growth models based on externalities, in which growth generates the increase in human capital, i.e. the growth of the level of knowledge and skills in the entire economy, but also deductively in companies on microeconomic level. These models also recognize the limit of accumulated knowledge after which growth may be expected. The absence of growth in small companies results from an insufficient level of human capital and failure to reach its limit level which could generate growth. According to Statistical Process Control (SPC), control charts, as well as regression models, it is clear that the most cost-effective investment is the investment into medium companies. The paper demonstrates the disadvantages in small, medium and large companies in the leather and footwear industry in Croatia. Small companies often emerge too quickly and disappear too easily owing to the employment of administrative staff instead of professional production staff. As the models emphasize, companies need to invest into their employees and employ good production staff. Investment and support to the medium companies not only strengthens the companies which have a well-arranged technological process and a good systematization of work places, but this also helps large companies, as there is a strong correlation between the number of medium and large companies.

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