scholarly journals Minimasi Kecacatan pada Produk Kemasan Kedelai Menggunakan Six Sigma, FMEA dan Seven Tools di PT. SATP

2021 ◽  
Vol 5 (2) ◽  
pp. 83
Author(s):  
Bagas Satria Wijaya ◽  
Deny Andesta ◽  
Efta Dhartikasari Priyana
Keyword(s):  
Failure Mode ◽  
Six Sigma ◽  
Spare Part ◽  
Poor Quality ◽  
Spare Parts ◽  
Effect Analysis ◽  
Business World ◽  
New Business ◽  
Measure Analysis

PT. Sari Agro Tama Persada is a company engaged in the agribusiness industry. In the business world, quality is a determining factor in customer buying interest. Many new business actors, PT Sari Agro Tama Persada (SATP) must be careful in maintaining and even improving the quality of their products. To control the quality, the methods used are six sigma, FMEA and seven tools. The Six Sigma method is a procedure to identify the triggers of defects in products or processes by correcting cases and improving quality with Define, Measure, Analysis, Improve, Control (DMAIC), Failure Mode and Effect Analysis (FMEA) is used to determine the RPN value on the PT SATP problem of 245 in poor quality sacks. Based on the calculation of the Defecr Per Million Opportunity (DPMO) value that has been carried out, the highest value is 2284,595, while the highest defect in torn sacks is 75 sacks with a percentage of 39.89. For the sigma (α) value of 4.97. In the cause-and-effect diagram, there are suggestions for improvements that will minimize defects, namely: carrying out extra supervision of workers, conducting safety briefings/talks before work, checking machines, and prioritizing the availability of spare parts (sewing needles), performing routine calibrations on machines balance. PT. Sari Agro Tama Persada merupakan perusahaan yang bergerak di industri agribisnis. Dalam dunia bisnis, kualitas merupakan faktor penentu pada minat beli customer. Banyaknya pelaku usaha baru , PT Sari Agro Tama Persada (SATP)harus berhati-hati dalam menjaga bahkan meningkatkan kualitas produknya. Untuk mengendalikan kualitas mutu di gunakan metode yaitu six sigma, FMEA dan seven tools. Metode Six Sigma ialah prosedur untuk mengenali pemicu kecacatan pada produk ataupun proses dengan membetulkan kasus serta tingkatkan mutu dengan Define,  Measure, Analysis, Improve, Control (DMAIC), Failure Mode and Effect Analysis (FMEA) digunakan untuk mengetahui nilai RPN pada permasalahan PT SATP sebesar 245 pada kualitas karung yang buruk. Berdasarkan penghitungan nilai Defecr Per Million Opportunity (DPMO) yang telah dilakukan didapat nilai tertinggi 2284.595, sedangkan cacat tertinggi pada kemasan karung sobek sebesar 75 karung dengan persentase 39.89. Untuk nilai sigma(α) sebesar 4.97. Pada diagram sebab-akibat, terdapat usulan perbaikan akan meminimalisir defect  yaitu : melakukan pengawasan ekstra pada pekerja, di lakukan briefieng/safety talk pada saat sebelum bekerja, melakukan pengecekan mesin, serta mementingkan ketersediaan spare part (jarum jahit), melakukan kalibrasi rutin pada mesin timbangan

scholarly journals OPTIMALISASI DESAIN DAN POSISI JIG WELDING GUNA MENGURANGI SPATTER PADA PRODUKSI HALF OUTER COMP MENGGUNAKAN METODE DMAIC

2019 ◽  
Vol 4 (2) ◽  
pp. 94-103
Author(s):  
Zulkani Sinaga ◽  
Achmad Muhazir ◽  
Muhamad Ilham Fuadi
Keyword(s):  
Software Tool ◽  
Spare Part ◽  
Observation Data ◽  
Production Department ◽  
Welding Part ◽  
Measure Analysis ◽  
Additional Support ◽  
Final Inspection ◽  
Dmaic Method

ABSTRAKPenelitian ini dilakukan pada salah satu produsen spare part otomotif PT. XYZ memiliki permasalahan dan menjadi perhatian serius pada bagian pengelasan adanya produk cacat yang dapat menurunkan nilai dan kualitas produk sehingga banyak produk yang ditolak oleh konsumen karena tidak sesuai dengan standar, dimana banyak terdapat kotoran las (Spatter) yang menmpel pada Joint Exhaust produk Half Outer Comp merupakan bagian komponen dari knalpot sehingga mengurangi produktifitas produksi pada bagian inspeksi akhir, permasalahan di atas dianggap perlu dilakukan penelitian untuk mencari penyebab hal tersebut. Beberapa langkah dilakukan guna memperbaiki cacat yang ada yaitu langkah awal dilakukan observasi dan wawancara ke bagian produksi, metode yang digunakan untuk pengolahan data hasil observasi menggunakan metode DMAIC (Define, Measure, Analisys, Improve, Control), kemudian dilakukan optimalisasi dan modifikasi Jig Welding dengan mendesain ulang menggunakan perangkat software Solidwork versi 2018, kemudian mengubah posisi Jig sebelumnya vertikal menjadi horizontal agar supaya pada saat pengelasan Spatter tidak langsung jatuh ke Joint Exhaust dan memberikan penahan tambahan pada Jig guna mengurangi jumlah Spatter menempel pada Half Outer Comp. Pada penelitian ini diperoleh hasil dimana jumlah Spatter yang menempel pada Joint Exhaust sangat berkurang dan memperoleh hasil produk yang lebih baik sehingga meningkatkan produktivitas pada bagian inspeksi akhir sebelumnya 58,33% menjadi sebesar 83.33%.  Kata Kunci :  Optimalisasi, Spatter, DMAIC, Desain, Solidwork 2018 ABSTRACTThis research was conducted at one of the automotive spare part manufacturers PT. XYZ has a problem and is a serious concern on the welding part of the presence of defective products that can reduce the value and quality of the product so that many products are rejected by consumers because it does not comply with standards, where there is a lot of welding dirt (Spatter) which attaches to the Joint Exhaust Half Outer Comp product is a component of the muffler so as to reduce production productivity at the final inspection, the above problems are considered necessary to do research to find the cause of it. Several steps were taken to correct existing defects, namely the initial steps carried out observation and interviews to the production department, the method used for processing the observation data using the DMAIC method (Define, Measure, Analysis, Improve, Control), then optimization and modification of Jig Welding with redesign using the 2018 Solidwork software tool, then changing the position of the previous vertical jig to horizontal so that when welding Spatter does not directly fall into the Joint Exhaust and provide additional support to the Jig to reduce the number of Spatter attached to the Half Outer Comp. In this study the results obtained where the number of Spatter attached to the Joint Exhaust is greatly reduced and obtain better product results thereby increasing productivity in the previous final inspection section of 58.33% to 83.33%. Keywords : Optimization, Spatter, DMAIC, Design, Solidwork 2018

AS-74: Quality-of-Care Indicators in Patients with Acute Myocardial Infarction Can Be Improved through Failure Mode and Effect Analysis

2009 ◽  
Vol 103 (9) ◽  
pp. 35B
Author(s):  
Feng Yu Kuo ◽  
Wei Chun Huang ◽  
Chin Chang Cheng ◽  
Cheng Chih Chung ◽  
Han Lin Tasi ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Quality Of Care ◽  
Failure Mode ◽  
Effect Analysis

scholarly journals Usulan Pengendalian Kualitas Produksi Benang Carded dengan Metode Six Sigma

2018 ◽  
Vol 4 (1) ◽  
pp. 38
Author(s):  
Abdul Manan ◽  
Firdanis Setyaning Handika ◽  
Ahmad Nalhadi
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Six Sigma ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Sigma Level ◽  
Mode Effect ◽  
Target Set ◽  
Failure Mode Effect Analysis

A yarn company strives to produce good and quality products, but the production process that is carried out by each person will produce products targeted at a target that has been set at 5%. This study uses the Six Sigma method but only until the improvement stage. The research is to determine the DPMO value and sigma level in the spinning production process, to know what factors cause defects and new parameters to reduce the defect. Based on the results of the study that the DPMO on the type of CD thread in the spinning section is 17,130 and the sigma level is 3,6. The level of sigma that has dominated the Indonesian industry average, but has a defect of 8.7%, the target set at 5%. Damaged and dirty apron, clogged trumpet, and leaky hose are factors that plan defects. Furthermore, with Failure Mode Effect Analysis (FMEA), the highest value of Risk Priority Number (RPN) in tangled defects is that the apron is damaged (140) and clogged trumpet (120), while the highest RPN value is gross dirty, i.e., dirty apron (150) and hose leaking lubricant (120).

scholarly journals Aplikasi Six Sigma dan Design of Experiment untuk Peningkatan Mutu Proses Kain Cotton Tetoron (Studi Kasus Perusahaan Tekstil)

Jurnal IPTEK ◽  
2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Ni Made Sudri ◽  
Yenny Widianty ◽  
Anissa Fernanda
Keyword(s):  
Failure Mode ◽  
Design Of Experiment ◽  
Six Sigma ◽  
Effect Analysis ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

Perbaikan Desain sistem Industri Tekstil dengan Six Sigma dan FMEA untuk peningkatan mutu proses. Six Sigma merupakan metoda peningkatan kualitas secara terus menerus ,dengan cara meminimalkan jumlah cacat. FMEA (Failure Mode Effect Analysis) alat dipergunakan untuk bantu penentuan tindakan yang sesuai , penghilangan mode kegagalan secara prioritas. Selanjutnya tahapan improve untuk penentuan faktor paling berpengaruh terhadap terjadinya cacat warna, supaya pengaruh dari factor gangguan jadi minimum. Apabila fungsi kontrol dilakukan dan factor penyebab cacat tidak muncul lagi akan terjadi peningkatan nilai sigma. Hasil analisa FMEA diperoleh factor temperature mesin dan material yang paling berpengaruh terhadap terjadinya cacat warna, dengan nilai RPN masing –masing 210 dan 120, Hasil perhitungan Six Sigma terjadi peningkatan nilai sigma darikondisi awal sebesar 3,78 sigma menjadi 4,93 sigma, atau terjadipeningkatan kemampuan proses 1,15 sigma. Usulan perbaikan menggunakan DOE (design of experiment) agar cacat warna tidak muncul disarankan dengan seting alat control suhu mesin thermosol dan pencampuran bahan kimia NaCl dioptimalkan. Kata Kunci : Six Sigma, FMEA, DOE

scholarly journals THE IMPLEMENTATION OF FUZZY FAILURE MODE AND EFFECT ANALYSIS (FFMEA) IN REDUCING THE RISK OF RUBBER AUTOMOTIVE SPARE PARTS

2019 ◽  
Vol 7 (11) ◽  
pp. 200-210
Author(s):  
D A Marizka ◽  
◽  
Y Arkeman ◽  
S Raharja ◽  
H Hardjomidjojo ◽  
...  
Keyword(s):  
Failure Mode ◽  
Spare Parts ◽  
Effect Analysis

scholarly journals Six Sigma As A Means To Enhance Quality Of The Company

2012 ◽  
Vol 2 (2) ◽  
Author(s):  
Andian Ari Istiningrum ◽  
Annisa Ratna Sari
Keyword(s):  
Production Process ◽  
Six Sigma ◽  
General Electric ◽  
Business World

Six Sigma is a means that can be used to enhance quality by decreasing product defects.  Many organizations have succeeded in applying Six Sigma, such as Motorola, General Electric and Allied Signal. To achieve Six Sigma, a process must reduce no more than 3.4 defects per million opportunities.This article tries to describe the definition and process of  Six Sigma. Six Sigma can be used in every part of production process. It is important for the organizations to give more attention to quality. The best quality can be achieved if all of the resources and processes are well managed. Six Sigma helps the organizations to measure whether resources and processes are well managed so that better quality can be achieved.Six Sigma has some advantages, such as focus on process, recovery and measurement management, keep the focus accurate, clear and specific, has clear purposes and help the organization to adapt the situation that always changes, uses means and approaches in the proper situation, helps company to create smoother, more effective and more efficient company, recognizes that a little recovery or a big changing is important in the business world, and has no worry to give a big investment to meet the standard.

Humming noise reduction of ceiling fan in the mass production applying DMAIC-six sigma approach

2020 ◽  
Vol 18 (1) ◽  
pp. 106-121
Author(s):  
Rubel Ahammed ◽  
Md. Zahid Hasan
Keyword(s):  
Six Sigma ◽  
Hypothesis Test ◽  
Process Condition ◽  
Poor Quality ◽  
Air Gap ◽  
Content Type ◽  
The Poor ◽  
And Control ◽  
Six Sigma Approach

Purpose Success and business reputation depend upon the quality of products where product quality depends upon the capability of a process, yield value and sigma score, etc. Poor quality of ceiling fan and mass rejection from quality check resulted in an alarming amount of cost for rework. As a result, the fulfillment of the production target was getting difficult day by day. The main purpose of this research is to identify the crucial causes for humming noise of ceiling fans and control it to a tolerable level so that maximum quality can be achieved. Design/methodology/approach The poor quality of ceiling fans was determined from the Pareto analysis of the define, measure, analyze, improve and control model which was humming noise during running and further actions were undertaken regarding the reduction of the humming noise. Project charter was formed before initiating the measure phase to study the suppliers, inputs, processes, outputs and customers diagram with process parameters and existing noise data were collected from random samples to determine the rolled throughput yield (94.95% existing) and existing sigma score which value of 3.14 and also the poor value (1.05) of process potential index implied that the process condition was below standard (<1.33) and need to be improved badly. Then root causes analysis and relationship diagram was prepared to identify the possible causes and with the design of experiments and correlation analysis, it was clear that the air gap between the stator and rotor was the main culprit behind the humming noise. Findings The minimum value of air gap was determined from boxplot analysis which was 0.2 mm–0.225 mm and the corresponding mean, the minimum and maximum value of sound level in dB (37.5–40.3 dB) for 0.225 mm air gap with the watt consumption (83 w) from the hypothesis test for the corresponding air gap. Finally, the updated sigma score and process capability analysis were performed with control charts to show the comparison after applying the DMAIC-six sigma methodology. The final sigma score was 5.1 which indicates a significant improvement of the process with the capability of saving US$23,438/year caused by the poor quality of ceiling fans. Practical implications Only quantitative values of the causes behind the humming noise were possible to identify. Other trivial many causes elimination might improve the sigma score closer to 6.00. The final sigma score that was achieved from this research was sustainable. Originality/value A structural approach with proper data analysis and application of various tools to detect the actual cause behind the humming noise of ceiling fans with numerical value has not been found in any literature. This research study can be a valuable asset for ceiling fan mass producers.

Implantação da Ferramenta Gage R&R em uma Indústria de Embalagens

2018 ◽  
Vol 13 (13) ◽  
pp. 38
Author(s):  
Jéssica Naihara Nunes Bueno
Keyword(s):  
Literature Review ◽  
Measurement System ◽  
Six Sigma ◽  
Poor Quality ◽  
Measurement Systems ◽  
The Poor ◽  
The Subject

A proposta deste artigo é avaliar o sistema de medição em um estudo de caso utilizando a ferramenta Gage R&R, com o objetivo de descobrir a variação das medições, podendo ser por Repetibilidade e/ou Reprodutibilidade. Na ferramenta DMAIC utilizada no Seis Sigma, a etapa Medir é usualmente a mais complicada e demorada pela baixa qualidade dos sistemas de medições da maioria das empresas. Pretende-se uma revisão literária para melhor conhecimento do assunto, assim, a primeira etapa foi a criação de um procedimento para a empresa em estudo. Após a elaboração do procedimento, os colaboradores foram treinados e a gerência definiu as principais inspeções que afetam o produto para a realização do estudo. Em seguida, a ferramenta foi aplicada e cada saída foi analisada comprovando a presença de variações que poderiam não ser consideradas. Palavras-chave: Sistema de medição. DMAIC. Gage R&R. Abstract The proposal is to evaluate the measurement system in a case study using the tool Gage R & R in order to find the variation of the measurements may be for repeatability and / or reproducibility. The tool used in Six Sigma DMAIC, the Measure step is usually the most complicated and delayed by the poor quality of measurement systems of most companies. We performed a literature review to better knowledge of the subject, so the first step was to create a procedure for the company under study. Following completion of the procedure were trained employees and management identified key inspections that affect the product for the study. Then the tool was applied and each output was analyzed demonstrating the presence of variations that could not be considered. Keywords: Measurement System. DMAIC. Gage R&R.

scholarly journals APLIKASI LEAN SIX-SIGMA UNTUK MENGURANGI PEMBOROSAN DI BAGIAN PACKAGING SEMEN

2020 ◽  
Vol 7 (2) ◽  
pp. 143
Author(s):  
Reni Dwi Astuti ◽  
Lathifurahman Lathifurahman
Keyword(s):  
Failure Mode ◽  
Six Sigma ◽  
Lean Manufacturing ◽  
Fish Bone ◽  
Lean Six Sigma ◽  
Value Stream Mapping ◽  
Effect Analysis ◽  
Value Stream ◽  
Transportation Motion

Hasil observasi di PT. Holcim Indonesia Tbk, pabrik Cilacap, didapati banyaknya pemborosan di bagian pengepakan semen, termasuk banyaknya produk cacat kemasan, sehingga banyak semen tercecer dan harus mengulangi proses pengepakan. Penelitian ini dilakukan untuk mengidentifikasi pemborosan selama proses pengepakan menggunakan  pendekatan lean manufacturing dengan value stream mapping. Sementara tingkat kualitas dianalisis dengan metode six-sigma. Penyebab kecacatan produk dianalisis dengan fish-bone diagram. Failure Mode and Effect Analysis (FMEA) digunakan untuk merancang ususlan perbaikan. Pemborosan yang teridentifikasi meliputi : transportation, motion, waiting, over processing, dan defect. Usulan perbaikan untuk mengurangi pemborosan yaitu dengan penggabungan stasiun penimbangan dan stasiun pemeriksaan, sehingga memberikan estimasi peningkatan  process cycle effisiensi  dari 39,1% menjadi 46,69. Sedangkan upaya untuk mengurangi cacat produk dilakukan dengan perawatan preventif mesin packer.

scholarly journals Analisis Pengendalian Mutu Jambu Kristal dengan Metode Six Sigma di ADC IPB-ICDF Taiwan, Bogor

2016 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Raisha Pratidina ◽  
Muhammad Syamsun ◽  
Nur Hadi Wijaya
Keyword(s):  
Failure Mode ◽  
Six Sigma ◽  
Flow Diagram ◽  
Process Flow Diagram ◽  
Process Flow ◽  
Effect Analysis ◽  
Development Fund ◽  
Pareto Chart ◽  
Cooperative Development ◽  
Development Center

<p>Manajemen mutu merupakan salah satu kunci sukses perusahaan untuk memenangkan pasar dan mencapai tujuaannya. Begitu juga yang harus dilakukan oleh <em>Agribussiness Development Center</em><em> </em>(ADC)<em> </em>Institut Pertanian Bogor (IPB)<em>-Taiwan International Cooperative Development Fund</em> (ADC IPB-ICDF Taiwan). Produk unggulan dari perusahaan adalah jambu Kristal yaitu buah dengan biji yang sedikit, rasa manis dan renyah. Tahun 2012, perusahaan hanya mampu memenuhi sebesar 31% permintaan pasar atas jambu Kristal <em>grade</em> A, serta <em>grade</em> B+, B dan C mencapai 69%. Metode analisis yang digunakan adalah Analisis <em>Defect per Opportunity</em> (DPO), Analisis <em>Defect per million Opportunity</em> (DPMO), Diagram alir proses (<em>Process Flow Diagram)</em><em>, </em>Diagram pareto (<em>Pareto Chart</em>), Peta kendali, Diagram Sebab Akibat<em> (Fishbone</em> <em>Diag</em><em>ram</em>), <em>Failure Mode and Effect Analysis</em> (FMEA) dan Metode Six Sigma. Berdasarkan hasil analisis, terdapat enam <em>Critical </em><em>T</em><em>o Quality</em> (CTQ) antara lain pembibitan, kondisi lingkungan, pemupukan, perawatan, panen dan pasca panen. Hasil perhitungan kapabilitas sigma selama tahun 2012 masih berada kisaran 2-sigma. Hal ini menunjukkan masih banyak <em>defect</em> dan kapabilitas sigma berada di bawah target (3,4 DPMO). Dengan demikian, untuk saat ini ADC IPB-ICDF Taiwan, Bogor masih belum realistis untuk mengaplikasikan <em>six sigma</em> dikarenakan produk agribisnis yang rentan dan dipengaruhi oleh berbagai faktor alam yang sulit untuk dikendalikan.</p>Kata kunci : jambu Kristal, pengendalian mutu, <em>six sigma </em>

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