PENERAPAN DIAGRAM KENDALI MAXIMUM MULTIVARIATE CUMULATIVE SUM (MAX-MCUSUM) PADA PENGENDALIAN KUALITAS PRODUK KACANG (Studi Kasus: Produk Kacang Garing di PT XY)

Now, Statistical quality control be a particular concern to large companies.PT XY is one of the largest nut company in Indonesia that has implemented the quality standards of a product. Max-MCUSUM control chart becomes a tool that is graphically used to monitor and evaluate whether the process is under control or nut. Based on Cheng and Thaga (2005), Max-MCUSUM control chart takes precedence over detecting small shift based on average and variability in industry data. The quality characteristic of Kacang Garing will be variables, namely broken nut skin, bean seed 1, and foam nut skin. Max-MCUSUM control chart is controlled with the control limit (h) from ARL (Average Run Length) simulation of 370 is 429,69. ARL is an average of samples that need to be decribed before it goes out of control. The research continued with multivariate capability process with MCp worth 0,905 and MCpk worth 1,355. Those value indicates that Kacang Garing has met the quality specification stipulated by PT XY. Broken nut skin becomes the most dominant cause based on pareto chart and carried out analysis by using fishbone chart so that is known the main factor causing broken nut skin are machine, material, and method.

BASE SINGLE PART PRODUCT QUALITY CONTROL USING STATISTICAL QUALITY CONTROL (SQC) METHOD IN PT DIRGANTARA INDONESIA MACHINING DEPARTMENT

Base Single Part is the main component of the cable installation that functions as a connector between cables in the aircraft. As a critical part, the Base Single Part is the most important sub-component that must be completed to be installed in the aircraft part. Base Single Part is a part that is used in all types of aircraft which are specially produced at PT. Dirgantara Indonesia, in one aircraft this component can be installed in the amount of 8000-9000 Base Single Part. In relation to the request from the Final Assembly Line section regarding the request for the Base Single Part component, there are still some products that do not meet the specifications so that they have to be repaired, such as holes that do not match the size, this causes the delivery order process to the Final Assembly Line section to be hampered and disruptive smooth production. The purpose of this research is to control the quality of the Base Single Part product by using a p control chart, and a causal diagram.The results of the study conclude that the calculation of the percentage level of defect in the Base Single Part component using the p control chart, there are 3 percentage points that are outside the control limit, namely in August with a disability percentage of 15.11%, in September 10.32%, and October 15.60%. Factors causing defects in Base Single Part components consist of 3 factors, human factors, method factors and machine factors. The human factor is workers who are less productive. Furthermore, the method factor is regarding the fluctuating production schedule and the last cause is the machine factor that lacks maintenance.

Stability assessment and process capability analysis in a food pasta company

Statistical quality control is a set of tools and techniques that allows to verify, monitor and control the variability of processes to improve product quality and business competitiveness. The objective of this study was to evaluate the pasta production process of a company that belongs to the food industry sector in terms of stability and compliance of quality specifications. The Six Sigma improvement methodology was used, which focuses on identifying and eliminating the causes of variation in the processes. Data collection was accomplished by the use of different techniques, such as: interviews, brainstorming, review of documents, teamwork and direct observation. In addition, process documentation techniques and classical quality tools including Pareto chart, control charts, process capability analysis, histogram, Ishikawa diagram and experimental design were used. Multivariate data reduction techniques were also applied. The results showed for the quality characteristic Humidity that the process is out of statistical control and it is uncapable to meet the required specifications, for which the causes were investigated and improvement actions were proposed, achieving an increase in the sigma quality level.

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

<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>

Integration of Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) in the quality control of resina colophonium production in Company X

Resina colophonium is a product that is produced from the processing of pine sap. This product is widely used for adhesives, additives for beauty products and mixtures of paints and varnishes. One of the companies engaged in the production of resina colophonium is Company X. Production process is an important aspect of the company, so any problems must be avoided to eliminate product defects. One way that can be done to avoid problems in the production process is to carry out proper quality control. The purpose of this study was to analyze the quality control of the production process at Company X. The quality control method used is the integration of the Statistical Quality Control (SQC) method to determine the frequency of problems and Fault Tree Analysis (FTA) to complete identification by looking for the causes of these problems so that problem did not repeat. Based on the results of the quality control analysis, it is found that the most serious problem that affects the quality of the production process lies in the labor aspect with a value number is 38.46% and the root of the potential cause is the number of workers who are not following the current work.

Statistical Quality Study of the Parts Produced in an Automobile Industry: A Daimler India Case Study

Every manufacturing industry considers defect-free production in this competitive era. Though it is practically impossible to improve the rate of defect minimization, statistical tools can be used. In this case study, we take data from Daimler India, an automobile part manufacturing industry specialized in manufacturing OEM tools like chassis, oil filter nipple, and so on, and study how many defects are made during the day. The defect-causing process was eliminated after using statistical quality control tools such as np charts and cumulative sum charts, resulting in higher production quality.

Analysis Of Quality Control Dengan Statistical Quality Control untuk Meminimalisir Produk Gagal Pada UD.Utun Kedung Supit Probolinggo

Pengendalian kualitas merupakan teknik manajemen produk dalam mengukur layak atau tidaknya produk atau jasa, setelah itu dilakukan perbandingan produk yang ada dengan produk pesaing dengan tujuan meperbaiki kekurangan yang ada agar mampu bersaing dengan produk yang sejenis. Quality control digunakan sebagai upaya untuk meminimalisir adanya produk gagal yang tidak bias dihindari dalam kegiatan operasional sehingga konsumen merasa puas dengan produk yang dipilihnya serta produsen bisa mencapi target output yang berkualitas sesuai dengan yang direncanakan. Tujuan pada penelitian ini difokuskan kepada upaya mimalisir produk gagal dengan metode statistic of quality control dengan alat analisis diagram kontrol. Berdasar hasil evaluasi terjadinya produk gagal pada UD.UTUN masih dalam kategori batas wajar dengan nilai rata-rata kerusakan sebesar 0.096 atau 9,6% dari total produk. Nilai pengendalian kualitas batas atas (UCL) 0,14 atau 14% dan (LCL) batas bawah -0,05 atau 0% karena LCL kurang dari 0.