scholarly journals INTEGRASI FMEA DALAM PENERAPAN QUALITY CONTROL CIRCLE (QCC) UNTUK PERBAIKAN KUALITAS PROSES PRODUKSI PADA MESIN TENUN RAPIER

2021 ◽  
Vol 6 (2) ◽  
pp. 78
Author(s):  
Yudi Syahrullah ◽  
Milenia Rahma Izza
Keyword(s):  
Quality Control ◽  
Control System ◽  
Continuous Improvement ◽  
Consumer Confidence ◽  
Step Method ◽  
Effect Analysis ◽  
Mode Effect ◽  
Textile Industries ◽  
Fmea Method ◽  
Failure Mode Effect Analysis

PT. Pajitex is one of the textile industries that produce sarongs and continues to strive to fulfill customer desires through quality sarong products. During the sarong production process, there are still various product defects that can reduce consumer confidence in the resulting sarong products. Therefore, PT. Pajitex strives to reduce the number of defects that occur in the sarong manufacturing process by exploring various causes of defects. The purpose of this study was to analyze the defective edge on the CR3082 plate using the Quality Control Circle (QCC) method. The QCC method is a quality control system through the 8-step method with a continuous improvement system. At the defect search stage, use quality control tools such as Pareto diagrams and fishbone diagrams, and use the Failure Mode Effect Analysis (FMEA) method to obtain the highest RPN value which is a priority in the improvement proposal, and in determining the improvement proposal using the PDCA Methods. Based on the results of the analysis obtained, the cutter cutting and the needling process are not perfect and the tuck-in setting is not precise has the highest RPN value, which is equal to 120, so this activity needs to be monitored and followed up

scholarly journals Identifikasi Potensi Modus Kegagalan Yang Dapat Menghambat Kelancaran Proses Pelayanan Rawat Jalan Menggunakan Failure Mode Effect Analysis (FMEA) Di Rumah Sakit BM Jakarta Barat

2020 ◽  
Vol 8 (2) ◽  
pp. 105-113
Author(s):  
Achmaddudin Sudiro
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Outpatient Service ◽  
Outpatient Services ◽  
Effect Analysis ◽  
Outpatient Unit ◽  
Mode Effect ◽  
Potential Failure ◽  
Fmea Method ◽  
Failure Mode Effect Analysis

Outpatient services hosted by the hospital have never been absent from public visits. In fact, every year an outpatient visitor is always increasing. This research intends to identify potential failure mode that can  inhibit of every flow of service in the outpatient care unit using the Failure Mode Effect Analysis (FMEA) method. Qualitative research plan using an observation survey approach and in-depth interviews with the outpatient service head Coordinator conducted in February 2020 on the hospital outpatient unit service process. The results of this study Indicate the potential failure mode that has the value of the RPN above the value of cut off point 180 as many as six out of ten failure modes. Firstly, the check is not on schedule (360), secondly, the patient lags a turn call order Check (270), third, Specific drug failure is not available (245), fourth, general patient protests with the price of the drug (224), fifth, the patient is void to poly (196), the sixth patient registrant online missed sequence number queue (180). Based on the results of the research, hospitals are expected to follow up with the results of this research by conducting a redesign of the process that occurs today using the FMEA to maintain service quality.

scholarly journals Analisis Pengendalian Mutu pada Proses Produksi Pembuatan Kecap Menggunakan Metode Fault Tree Analysis (FTA) dan Metode Failure Mode Efect Analysis (FMEA)

2020 ◽  
Vol 1 (1) ◽  
pp. 31-44
Author(s):  
Iskandar Zulkarnaen ◽  
Daonil ◽  
Akbar Supriadi
Keyword(s):  
Failure Mode ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Soy Sauce ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Tree Analysis ◽  
Mode Effect ◽  
Fmea Method ◽  
Failure Mode Effect Analysis

ABSTRACT Analysis of Quality Control in the Production Process of Making Soy Sauce Using the Fault Tree Analysis (FTA) Method and the Failure Mode Effect Analysis (FMEA) Method. PT XYZ is an industrial company that produces soy sauce and soy sauce for instant noodle seasoning. In an effort to maintain product quality, the writer tries to analyze every problem of reject burn, reject divert, organoleptic reject, and contaminated reject that exceeds the company standard of 0.50% based on histogram data for May 2018 - April 2019, it is found that organoleptic reject is the highest failure and the main problem is discussed using the fault tree analysis (FTA) method to analyze the root cause of failure, and the failure mode effect analysis (FMEA) method for weighting the severity, occurance and detection values ​​in each of these three issues each problem is calculated to obtain a risk priority number (RPN) value ). From this data, it will be known that the root of the problem is the steam engine temperature value of 144 is the highest value of rpn, and the writer tries to give a proposal to improve the previous total reject 244,425 kg percentage 0.65% and after 69,284 kg percentage 0.36% with the cost before the total repair is Rp. 881,840,120 and after Rp.255,474,078 succeeded in reducing rejects below the standard while reducing costs for Rp.626,366,042. Keyword : Reject, Soy Sauce, FTA, FMEA ABSTRAK Analisis Pengendalian Mutu Pada Proses Produksi Pembuatan Kecap Menggunakan Metode Fault Tree Analysis (FTA) dan Metode Failure Mode Effect Analysis (FMEA). PT XYZ merupakan perusahaan industri yang menghasilkan produk kecap manis dan kecap asin untuk bumbu mie instant. Dalam upaya mempertahankan kualitas produk penulis berusaha untuk menganalisa setiap permasalahan reject gosong, reject divert, reject organoleptik, dan reject terkontaminasi yang melebihi standar perusahan 0,50% berdasarkan data histogram periode mei 2018 – april 2019 didapatkan reject organoleptik menjadi kegagalan tertinggi dan masalah utama yang dibahas dengan menggunakan metode fault tree analysis (FTA) untuk menganalisa akar penyebab kegagalan, dan metode failure mode effect analysis (FMEA) untuk pembobotan nilai severity, occurance dan detection di dalam ketiga hal tersebut setiap permasalah tersebut dihitung hingga mendapatkan nilai risk priority number (RPN). Dari data tersebut selanjutnya akan diketahui akar permasalahan tersebut adalah mesin steam suhu nilai 144 merupakan nilai rpn tertinggi, selanjutnta penulis mencoba memberikan usulan perbaikan sebelumnya total reject 244.425 kg persentase 0.65% dan sesudah 69.284 kg persentase 0.36% denga biaya sebelum perbaikan total Rp. 881.840.120 dan sesudah Rp.255.474.078 berhasil menurunkan reject dibawah standar sekaligus menurunkan biaya pengeluran sebesar Rp.626.366.042. Kata Kunci : Reject, Kecap, FTA, FMEA

scholarly journals Analisa Studi Keandalan Sistem Distribusi 20 KV di PT. PLN (PERSERO) UPJ Mojokerto Menggunakan Metode FMEA (FAILURE MODE EFFECT ANALYSIS)

CYCLOTRON ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Aang Fras Setiawan ◽  
Titiek Suheta
Keyword(s):  
Failure Mode ◽  
System Reliability ◽  
Distribution System ◽  
Reliability Index ◽  
Effect Analysis ◽  
Supply And Distribution ◽  
Mode Effect ◽  
Fmea Method ◽  
Major Equipment ◽  
Failure Mode Effect Analysis

ABSTRAK - Keandalan sistem distribusi merupakan kemampuan sistem untuk memberikan suatu pasokan tenaga listrik yang cukup dengan kualitas memuaskan. Peningkatan kebutuhan tenaga listrik, menuntut tingkat keandalan yang lebih tinggi dalam penyediaan dan penyaluran dayanya. Tujuan penelitian ini adalah untuk menghitung tingkat keandalan sistem distribusi 20 kV pada UPJ Mojokerto dengan metode Failure Mode Effect Analysis (FMEA), di mana nilai dari indeks kegagalan dari setiap peralatan utama sistem distribusi diperhitungkan untuk mencari nilai indeks keandalan sistem secara menyeluruh. Studi kasus dilakukan di PT. PLN (persero) UPJ Mojokerto guna melihat pengaruh dari jumlah serta lokasi penempatan sectionalizer di sepanjang jaringan terhadap indeks keandalan sistem. Hasil analisa pada penyulang Gading didapatkan nilai SAIFI berdasarkan metode FMEA adalah 3,80237 dan simulasi sebesar 3,8174 sedangkan untuk nilai SAIDI adalah 11,9697 dan 12,1197. Dan untuk penyulang Bangsal nilai SAIFI berdasarkan metode FMEA sebesar 6,82974 dan simulasi sebesar  6,4743 sedangkan nilai SAIDI adalah 13,9370443 dan 14,5671. Nilai SAIFI dan SAIDI pada penyulang Gading dan Bangsal  belum mencapai nilai standart yang di tetapkan oleh PT. PLN (persero), maka perlu di tingkatkan guna mencapai keandalan sistem distribusi yang baik. Kata Kunci : Keandalan, Sistem Distribusi, SAIDI, SAIFI, FMEA ABSTRACT - Reliability of a distribution system is the ability of the system to provide a sufficient supply of electric power with satisfactory quality. Increased demand for electricity, demands a higher level of reliability in the supply and distribution of power. The purpose of this study was to calculate the reliability level of the 20 kV distribution system at UPJ Mojokerto using the Failure Mode Effect Analysis (FMEA) method, where the value of the failure index of each major equipment distribution system was calculated to find the overall system reliability index value. Case studies conducted at PT. PLN (Persero) UPJ Mojokerto to see the effect of the number and location of the placement of sectionalizers along the network against the system reliability index. The results of analysis on Ivory feeders obtained SAIFI values based on the FMEA method were 3.80237 and the simulation was 3.8174 while those for SAIDI values were 11.9697 and 12.1197. And for Bangsal feeders, the SAIFI value based on the FMEA method is 6.82974 and the simulation is 6.4743 while the SAIDI values are 13.9370443 and 14.5671. The value of SAIFI and SAIDI for Ivory feeders and Bangsal has not yet reached the standard value set by PT. PLN (Persero), it needs to be improved in order to achieve good distribution system reliability. Keywords: Reliability, Distribution System, SAIDI, SAIFI, FM

scholarly journals RANCANG ULANG PENGENDALIAN MUTU PRODUK PADA INDUSTRI KOMPONEN SEPEDA MOTOR MENUJU ZERO DEFECT UNTUK MENCAPAI OPTIMALISASI MANUFAKTUR

2017 ◽  
Vol 2 (3) ◽  
Author(s):  
Tedi Dahniar
Keyword(s):  
Quality Control ◽  
Control System ◽  
Quality Control System ◽  
Production Data ◽  
Effect Analysis ◽  
Automotive Parts ◽  
Product Defect ◽  
Fmea Method ◽  
Assembly Plants ◽  
A Company

PT. Indonesia Nippon Seiki is a manufacturing company that has been implementing quality control system, not necessarily achieve zero defect. This study aims to improve the quality control system to zero defect. The study was conducted on a company that produces two-wheeled automotive parts. The research applied Failure Methode and Effect Analysis (FMEA) method to identify the main problem of product defect, its cause and its impact. FMEA is conducted using 3 years production data on 3 assembly plants with field observation and interviews with key personnel in each factory. The results showed that the improvement needs to be done on the elements of the machine, human, methods and environment, after the improvement is done on the four elements of the product failed or reject and claim can be derived.

scholarly journals Application of Failure Mode Effect Analysis for Improved Scheduling in Maintenance of Machines

2020 ◽  
Vol 9 (6) ◽  
pp. 895-899
Keyword(s):  
Failure Mode ◽  
Work Flow ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Mode Effect ◽  
Lathe Machine ◽  
Complete Failure ◽  
Fmea Method ◽  
Effective Analysis ◽  
Failure Mode Effect Analysis

Maintenance of machines is crucial measures in order to have stable and improved work flow. Any kind of failure might result in complete failure of the machine. Hence it becomes essential to identify the vulnerable failures that might occur in the components of any machine. The present work is carried out in order to improve the scheduling in maintenance of a lathe machine. Different components of the machine are studied in this research. “Failure mean effective analysis (FMEA)” method is applied to identify the failures associated with the components of the machine. Risk priority number is calculated based on which the components are provided with ranks. The rank signifies the flow of maintenance for all the components. The results reveal that the flexure bearing needs the least maintenance as it has the highest rank.

scholarly journals MEMINIMASI CACAT PRODUK BOGIE TIPE S2E-9C MENGGUNAKAN METODE STATISTICAL QUALITY CONTROL (SQC) DAN FAILURE MODE EFFECT ANALYSIS (FMEA) PADA PT XYZ

JUMINTEN ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 168-179
Author(s):  
Kamal Husein ◽  
Rr Rochmoeljati
Keyword(s):  
Quality Control ◽  
Failure Mode ◽  
Statistical Quality Control ◽  
Scatter Diagram ◽  
Effect Analysis ◽  
Statistical Quality ◽  
Cause And Effect ◽  
Mode Effect ◽  
Cause And Effect Diagram ◽  
Failure Mode Effect Analysis

PT. XYZ adalah perusahaan manufaktur yang bergerak di bidang produksi. Salah satu hasil produksi perusahaan ini adalah Bogie atau roda kereta api. Dalam proses produksi masih dihadapkan dengan defect yang sering terjadi seperti crack, pinhole, sinter, dan juga roughness yang memberi pengaruh besar hingga melebihi batas standart perusahaan. Penelitian ini bertujuan untuk mengetahui persentase kecacatan, faktor utama penyebab kecacatan dan dampak/efek yang ditimbulkan, serta memberikan usulan perbaikan yang tepat untuk meminimasi permasalahan kualitas pada produk bogie pada perusahaan ini. Metode yang diusulkan adalah Statistical Quality Control (SQC) dan Failure Mode and Effect Analysis (FMEA). Adapun alat SQC yaitu Checksheet, Histogram, Diagram Pareto, Scatter diagram, Control Chart, dan Cause and Effect Diagram. Untuk FMEA digunakan sebagai rekomendasi perbaikan mengacu dari Cause and Effect Diagram. Hasil dari penelitian ini adalah defect yang paling berpengaruh terhadap kualitas bogie yaitu Crack (52,2%), diikuti Pinhole (28,9%), Sinter (11,6%), dan Roughness (7,2%). Penyebab terjadinya kecacatan pada produk disebabkan oleh faktor manusia, mesin, metode, dan material. Berdasarkan FMEA diketahui penyebab kecacatan dengan RPN tertinggi sebesar 392 yaitu pekerja kurang hati-hati saat memotong raser. Adapun rekomendasi perbaikan, dapat memberikan pelatihan kepada pekerja agar terampil dalam melakukan pemotongan raser, dan juga dapat dengan menentukan batasan waktu istirahat dalam melakukan pemotongan raser agar tidak terjadi overheating.

scholarly journals PENGENDALIAN KUALITAS PRODUKSI ROMA SANDWICH MENGGUNAKAN METODE STATISTIK QUALITY CONTROL (SQC) DALAM UPAYA MENURUNKAN REJECT DI BAGAIAN PACKING

2020 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Tina Hernawati Suryatman ◽  
Muhamad Engkos Kosim ◽  
Siti Julaeha
Keyword(s):  
Quality Control ◽  
Failure Mode ◽  
Effect Analysis ◽  
Mode Effect ◽  
Fishbone Diagram ◽  
Failure Mode Effect Analysis

PT. Mayora Indah Tbk merupakan perusahaan yang bergerak dalam sector indusutri makanan dan minuman. Dalam menjalankan kegiatan produksinya, perusahaan selalu berupaya untuk menghasilkan produk yang baik dan menekan terjadinya reject. Penelitian ini bertujuan untuk mengetahui faktor-faktor penyebab terjadinya reject hasil biskuit roma sandwich dan bagaimana pengendalian kualitas produk biskuit roma sandwich di PT. Mayora Indah Jatake 2 dengan menggunakan metode statistik. Analasis pengendalian kualitas dilakukan menggunakan metode statistik berupa check sheet, histogram, peta kendali, diagram sebab-akibat dan metode Failure Mode Effect Analysis (FMEA). Hasil analisis menggunakan checksheet menunjukkan bahwa dalam proses produksi masih terdapat reject biskuit yang tinggi sebesar 19,28%, kemudian hasil dari peta kendali menunjukan bahwa adanya titik berfluktuasi sangat tinggi dan tidak beraturan yang menunjukkan  bahwa proses produksi masih mengalami penyimpangan, oleh sebab itu masih diperlukan analisia lebih lanjut dengan menggunakan diagram sebab-akibat (fishbone diagram). Dari analisis sebab-akibat dapat diketahui faktor penyebab penyimpangan/reject berasal dari faktor manusia, metode, dan material. Selanjutnya berdasarkan analisis menggunakan metode FMEA prioritas utama perbaikan berdasarkan nilai RPN tertinggi yang harus dilakukan oleh PT. Mayora Indah diantranya yaitu Membuat jalur biskuit dan menurunkan packing table lebih rendah dari output mesin sandwiching dengan nilai RPN sebesar 168, Membuat standar diameter teflon dan revisi pengecekan kondisi teflon di setiap minggu dengan nilai RPN sebesar 105, dan Merubah jalur stacking dari yang tidak berlawanan arah menjadi berlawanan arah nilai RPN sebesar 72

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