The Application of Statistical Quality Control Methods in Predictive Maintenance 4.0: An Unconventional Use of Statistical Process Control (SPC) Charts in Health Monitoring and Predictive Analytics

2020 ◽  
pp. 1051-1061
Author(s):  
Clint Saidy ◽  
Kaishu Xia ◽  
Anil Kircaliali ◽  
Ramy Harik ◽  
Abdel Bayoumi
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Health Monitoring ◽  
Predictive Analytics ◽  
Predictive Maintenance ◽  
Statistical Quality Control ◽  
Control Methods ◽  
Statistical Process ◽  
Statistical Quality

scholarly journals Analisis Pengendalian Kualitas Pada Pengolahan Produk Kulit Dengan Metode Statistical Process Control Pada UMKM Paris Leather

2021 ◽  
Vol 20 (2) ◽  
pp. 167
Author(s):  
Dimas Ari Nuryanto ◽  
Widya Setiafindari
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Statistical Quality Control ◽  
Statistical Process ◽  
Statistical Quality ◽  
Quality Control Check ◽  
Reward And Punishment

<p class="Abstrak">Pada proses produksi kulit pada UMKM Paris Leather masih terdapat kecacattan saat proses pewarnaan kulit dan proses pembuatan produk kulit, dimana proses produksi kulit tidak sesuai dengan standar kecacatan produk yang telah ditentukan oleh UMKM Paris Leather. Dari data produksi produk kulit pada bulan Januari s.d Februari 2021 mencapai 933 produk lembaran kulit, 173 produk tas dan 155 produk jaket, masih terdapat produk cacat pada produksi dengan jumlah rata-rata cacat produk kulit lembaran 5 % per hari, produk tas 4 % per hari dan produk jaket 3 % per hari dengan jumlah produk cacat yang terjadi perlu dilakukan usulan perbaikan kualitas untuk mengurangi cacat pada produk kulit, maka dalam meyelesaikan masalah tersebut perlu menganalisis apa saja jenis cacat dominan yang terjadi pada produksi kulit, kemudian mencari penyebab cacat pada produk dan pewarnaan yang terjadi di UMKM Paris Leather. Analisis data dilakukan dengan menggunakan teknik Statistical Quality Control, Check Sheet, Stratifikasi, Peta Kontrol, Diagram Pareto, Diagram Sebab-Akibat, Diagram Pencar, dan Histogram. Hasil dari penelitian ini menunjukan jenis kerusakan yang paling banyak terjadi pada proses produksi kulit adalah cacat jahit tidak rapi sebesar 50 % produk tas, 40 % produk jaket, dan proses perwarnaan kulit cacat lubang sebesar 50 %. Usulan perbaikan sebaiknya dilakukan adalah mengkaji ulang proses pengoperasian mesin, menggunakan check sheet, melaksanakan training, memberlakukan sistem reward and punishment, pengecekan material dan mesin, dan bekerja sesuai SOP.</p><div><hr align="left" size="1" width="33%" /></div><p class="Abstrak"><strong>Kata kunci</strong>: Statistical Quality Control1, Produk Kulit2, UMKM Paris Leather3</p>

scholarly journals Quality Control on Bread Production using Statistical Process Control Methods in Small Medium Enterprise

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Yunita Primasanti
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Methods ◽  
Statistical Process ◽  
Long Run ◽  
Medium Enterprise ◽  
Process Factors ◽  
Bread Production

The main goal of the company is basically to make a profit so that the company is able to grow in the long run. However, the demands of consumers that are constantly changing require companies to be more flexible in meeting consumer demands related to product quality. Therefore, companies must be able to maintain and improve the quality of the products produced. Quality control is important for the company so that the products produced are in accordance with the standards, both the standards set by the company as well as local and international bodies that manage quality standards. In addition, quality products should be in accordance with consumer expectations. This study aims to determine defects in bakery products using Statistical Process Control methods and provide improvement suggestions. The research object is Roti Rahmat which is a small and medium business. Data collection techniques are carried out through observation and interviews with owners and employees. The results showed that the product defects were not uniform at 52.51%, the bread was scorched at 24.55%, the contents of the bread came out at 21.15%, and others at 1.97%. Based on the causal diagram, it is known that the biggest factors that cause product defects are the production process factors and employee factors.

scholarly journals Penentuan Faktor – Faktor Berpengaruh Terhadap Kualitas Kuat Tekan Bata Ringan Dengan Metode Statistical Process Control (SPC) Dan Metode Taguchi

2017 ◽  
Vol 1 (1) ◽  
pp. 50
Author(s):  
Bayu Arif Wicaksono ◽  
Wiwik Sulistiyowati
Keyword(s):  
Quality Control ◽  
Compressive Strength ◽  
Process Control ◽  
Statistical Process Control ◽  
Taguchi Methods ◽  
Water Volume ◽  
Control Methods ◽  
Statistical Process ◽  
Level 3 ◽  
Level 2

PT.Viccon Modren Industries is a company engaged in the brick industry light . Problems often arise during the process of making light brick is a lightweight brick compressive strength is not in accordance with company standards for ˃3,50 N / mm² , so the quality is not optimal light brick .             In an effort to overcome these problems , it is necessary to control the production of Online Quality Control with Statistical Process Control methods to identify the root of the problems that occur in the production of lightweight brick . Statistical tools in Statistical Process Control methods include check sheets , Pareto charts , cause-effect diagrams , and maps control p . Then the data Statistical Process Control is integrated with the Taguchi method as Offline Quality Control to be used as a parameter in determining the factors that have significant influence in the optimization of compressive strength of lightweight brick.             Based on the research showed that the factors significantly influence the light brick compressive strength is the amount of cement and gypsum number . Combination level of the factors that resulted in the average value and variance of compressive strength of lightweight brick that is optimal is the same , namely the setting factor water volume at level 2 for 150 Liter ( A2 ) , factor the amount of silica sand on level 2 of 550 Kg ( B2 ), cement jumalah factor on level 3 of 350 Kg ( C3 ) , as well as gypsum julah factor on level 3 of 300 Kg ( D3 ). Keywords : compressive strength , Statistical Process Control , Taguchi Methods.

scholarly journals Application of Statistical Quality Control in Monitoring the Production, Packaging and Marketing Process of Sachet Water

2020 ◽  
pp. 32-45
Author(s):  
Terna Godfrey Ieren ◽  
Samson Kuje ◽  
Abraham Iorkaa Asongo ◽  
Innocent Boyle Eraikhuemen
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Control Charts ◽  
Statistical Quality Control ◽  
Statistical Control ◽  
Statistical Process ◽  
Marketing Process ◽  
Product Sales ◽  
Sachet Water

Statistical process control is a technique employed to enhance the quality and productivity of processes and the distribution or marketing of its products. Sachet water is a product that has become popular and is being used as a replacement for lack of potable water. It is an alternative that is readily available, affordable but with questions about its purity, production and marketing processes. The objective of this study is to apply statistical control charts in monitoring the production, packaging and distribution or marketing processes of sachet water in Nigeria. This paper employed statistical quality control approach to monitor process stability in a Table Water manufacturing company. Quality control tools such as p-chart, u-chart, X-bar and R charts as well as process capability chart were use to observed field data obtained from the sachet water manufacturing company on important processes of sachet water production and marketing for 30 working days. This was done to check if the processes were in control or out of control and to verify the capability of the marketing process of the product meeting preset specifications. With this, the statistical control charts suitable for the processes were constructed using package “qcc” in R software version 3.6.1. The results from p-chart and u-chart showed that the production and packaging process of the product is not in control and hence the need for further investigations and corrective measures to prevent variability in the process and thus allowing improvement in the quality of the product. Also, the results from X-bar and R charts showed that the marking process was in statistical process control in respects of the product sales recorded by the four independent marketers, with no assignable cause of variation. It also revealed that, the product marketing process has low capability of successfully attending the preset specification limits in respect of the product sales and hence generating low profit for the company.

scholarly journals Tokat-Kazova’da Mısır Yetiştiriciliğinde Ekim Kalitesinin Değerlendirilmesinde İstatistiksel Proses Kontrol Yaklaşımı

2020 ◽  
Vol 8 (12) ◽  
pp. 2664-2676
Author(s):  
Engin Özgöz ◽  
Ebubekir Altuntas ◽  
Abdullah Kasap
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Agricultural Production ◽  
Statistical Quality Control ◽  
Plant Spacing ◽  
Statistical Process ◽  
Process Plant ◽  
Plant Emergence

In this study, it was aimed to evaluate of the quality of the sowing process applied by 10 different producers in their fields in Tokat / Kazova, in the cultivation of grain corn, by Statistical Process Control. In determining of the quality of the sowing process, plant spacing uniformity, seeding depth uniformity and ratio of plant emergence were used. Acceptable plant spacing, the multiples ratio and the miss ratio were determined for planting spacing uniformity on the row. Plant emergence ratio values varied between 59.60% (D field) and 93.13% (B field) in the trial areas. Acceptable plant spacing, the multiples ratio and the miss ratio values ranged from 65.56% - 90.24%, 4.02 - 15.69% and 5.11% - 12.91%, in the trial areas, respectively. It was concluded that the sowing process is generally ‘Moderate’ and ‘Inadequate’ according to the parameters of plant spacing uniformity. Similarly, individual and moving range quality charts prepared for statistical quality control of plant spacing uniformity and seeding depth uniformity showed that the sowing process was not under control. According to these results, it is necessary to take precautions regarding the factors that negatively affect the quality of the sowing process for sustainable agricultural production.

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