Defect analysis of shoes production processes using statistical process control and failure mode effect analysis method

2020 ◽  
Author(s):  
Dimyati ◽  
Afni Khadijah ◽  
Ellia Kristiningrum
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Defect Analysis ◽  
Analysis Method ◽  
Statistical Process ◽  
Effect Analysis ◽  
Production Processes ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

scholarly journals Penerapan Statistical Process Control (SPC) dan Failure Mode Effect Analysis (FMEA) pada Proses Produksi Tisu Wajah

Jurnal PASTI ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 293
Author(s):  
Erni Krisnaningsih ◽  
Sri Mukti Wirawati ◽  
Yan Febriansyah
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Raw Materials ◽  
Fish Bone ◽  
Statistical Process ◽  
Effect Analysis ◽  
Causative Factors ◽  
Mode Effect ◽  
Standard Hygiene ◽  
Failure Mode Effect Analysis

The purpose of this study is to identify the type of defects that occur, identify the causative factors of disability using SPC and FMEA methods to improve the competitiveness of network companies in PT. Xyz. From the results of the control map there is 1 point above the UCL limit that occurred in the 6th month. Furthermore, analysis with pareto diagram, which is known to be the most dominant defect there are 3 or 30% piece is not up to standard, 27% folds are not aligned, 23% sealing results are not perfect. From the highest percentage of analysis with fish bone diagrams, there are several factors that cause differences, namely human factors are less thorough, machines lack maintenance, methods are not up to standard, hygiene environment is poorly maintained and raw materials are not good. Furthermore, the analysis using FMEA to determine the priority scale obtained that the priority scale based on the RPN table including the sealing result was difficult to open with a total of RPN 338.8, the folds were not aligned with the total RPN of 212 and the pieces were not symmetrical with a total of RPN 106.5. Based on rpn table, proposed repair using 5W+1H obtained by proposed daily briefaing, scheduled machine checking, checking before materials are used, ensuring the settings on the machine according to standards.

scholarly journals Analisa defect produk sheet area corrugator 301 menggunakan metode SPC dan FMEA di PT Indah Kiat

2020 ◽  
Vol 12 (3) ◽  
pp. 332
Author(s):  
Evan Mandala Putra ◽  
Sri Mukti Wirawati ◽  
Pugy Gautama
Keyword(s):  
Process Control ◽  
Production Process ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Failure Modes ◽  
Uneven Surface ◽  
Statistical Process ◽  
Effect Analysis ◽  
Product Defect ◽  
Fmea Method

This study aims to analyze defects in the sheet production process in the 301 Corrugator area by analyzing the total number of sheets produced and the number of sheets that have been damaged over a certain period of time using the Statistical Process Control (SPC) method and Failure Modes and Effect Analysis (FMEA). Based on the research results, there are 6 defects, namely untidy cuts, wrinkled sheets, uneven surface, curved sheets, uneven sides, loose sheet layers. The most dominant defect is uneven surface, which is 185.141 Kg or 60%. Based on the value of the RPN table, the product defect that has the highest value is the loose sheet layer with an RPN value of 245 from the calculation stage of the RPN value, a suggestion is made to reduce defects resulting from the loose sheet layer. From the stage of making improvements, the company should prioritize and focus on the types of disabilities and types of disabilities that have the highest RPN ranking when using the Failure Mode and Effect Analysis (FMEA) method.

scholarly journals ANALISIS PENGENDALIAN KUALITAS PRODUK BUCKET TIPE ZX 200 GP DENGAN METODE STATISTICAL PROCESS CONTROL DAN FAILURE MODE AND EFFECT ANALYSIS (STUDI KASUS: PT. CDE)

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Wilson Kosasih ◽  
Adianto . ◽  
Erickson .
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Statistical Process ◽  
Effect Analysis ◽  
Control Failure

Abstrak PT. CDE merupakan suatu perusahaan yang bergerak di bidang industri manufaktur alat berat. Salah satu produk yang dihasilkan oleh PT. CDE adalah bucket tipe ZX 200 GP. Berdasarkan data produksi yang diperoleh dari bulan Mei 2013 hingga September 2013, jenis kegagalan produk yang paling banyak ditemui adalah jenis cacat undercut. Dalam penelitian ini, pengendalian kualitas dilakukan dan dianalisis dengan menggunakan metode Statistical Process Control dan Failiure Mode and Effect Analysis (FMEA). Jenis FMEA yang digunakan adalah FMEA proses. Hasil analisis mengidentifikasi beberapa akar permasalahan utama yang menjadi penyebab munculnya kegagalan pada jenis cacat undercut yaitu: penyetelan mesin yang kurang tepat, kotornya ujung mata las, penggunaan mesin secara terus menerus, pemakaian kawat terlalu sedikit, kurang pemeriksaan kualitas, kemiringan elektroda yang kurang tepat, kecepatan pengelasan terlalu tinggi, kurang pengawasan kerja, dan pekerja yang kurang terampil. Maka daripada itu, dalam makalah ini diusulkan beberapa tindakan perbaikan kepada pihak manajemen untuk mengurangi kecacatan undercut yang terjadi, antara lain: mempekerjakan welder yang telah bersertifikasi, mengurangi kecepatan pengelasan sesuai dengan ketebalan material, melakukan pengarahan mengenai kemiringan elektroda yang sesuai dengan posisi pengelasan, mengatur besar arus dan tegangan pengelasan sesuai dengan tebal bahan dan diameter kawat elektroda, melakukan pemeriksaan kualitas secara rutin dan segera melakukan tindakan perbaikan bila terjadi kegagalan saat produksi. Kata kunci: Pengendalian Kualitas, Statistical Process Control, Failure Mode and Effect Analysis

scholarly journals MINIMASI DEFECT PRODUK DENGAN KONSEP SIX SIGMA

2012 ◽  
Vol 13 (1) ◽  
pp. 43
Author(s):  
Shanty Kusuma Dewi
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Six Sigma ◽  
Control Measure ◽  
Statistical Process ◽  
Control Phase ◽  
Mode Effect ◽  
Potential Failure ◽  
Cause And Effect Diagram

Company can be competitive in industry with giving a product which pursuit with the specification and have no defect,in order to produce product which have good and uniform quality existed variance had to be minimized. Six Sigma was a total approach to solve problems and increase process through DMAIC phase (Define, Measure, Analyze, Improve, Control). Measure phase with Pareto diagram of defect cone polyester 30, it was found that percentage of cone defect polyester 30 were: lapping, swelled, stitch, pattern, wrinkles, and ribbon and in the measure phase, it was known that sigma value equal to 3,05. Analyze phase used cause and effect diagram to analyze causes of a problem in detail. Improve phase used potential failure mode effect and analysis (PFMEA). In control phase statistical process control (SPC) was used, attribut data np control chart. The result of research were reducing DPMO to 29,87% and increasing value of sigma to 3.8 after the application of Six Sigma.

scholarly journals Peningkatan Kualitas Produk Roti Manis pada PT Indoroti Prima Cemerlang Jember Berdasarkan Metode Statistical Process Control (SPC) dan Failure Mode and Effect Analysis (FMEA)

2018 ◽  
Vol 5 (1) ◽  
pp. 31
Author(s):  
Elisa Mardya Ratri ◽  
Eka Bambang G. ◽  
Marmono Singgih
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Failure Modes ◽  
Statistical Process ◽  
Effect Analysis ◽  
Packing Process ◽  
Bread Production ◽  
Control Limits

This study aims to control the quality of sweet bread products at PT Indoroti Prima Cemerlang Jember by analyzing the total amount of bread produced and the amount of bread that is damaged over a period of time using Statistical Process Control (SPC) and Failure Modes and Effect Analysis ( FMEA).. Selection of sweet bread that will be studied is based on the proven data of bread production on Januari 2017 which show that the most damaged product were found in sweet bread variant, so it needs to get more attention from the company in priority improvement. Based on the p chart, the damage of sweet breads is within control limits. It is indicated by the whole point that are within UCL dan LCL. The UCL line is 0,0930, LCL line is 0,0238, and p (midline) is 0,0085. The types of damage which happened to the sweet breads are dents, filthy, leak, defated, and truncated. The damaged can be caused by three factors such as man, machine, and method. Based on FMEA (Failure Mode and Effect Analysis) Method, it shows that the priority improvement for production and packing process are different. Improvement in production process prioritized on man factor, while improvement in packing process prioritized on machine factor. Keywords: Failure Mode and Effect Analysis (FMEA), Quality Control, Statistical Process Control (SPC)

scholarly journals Implementation of Six Sigma to Minimize Reject Gusset Difference and Fold in the Blowing Process

2021 ◽  
Vol 6 (4) ◽  
pp. 1-6
Author(s):  
Nuur Apriliani Rahayu ◽  
Sugeng Santoso
Keyword(s):  
Failure Mode ◽  
Six Sigma ◽  
High Density Polyethylene ◽  
Potential Problem ◽  
High Density ◽  
Analysis Method ◽  
Effect Analysis ◽  
Material Characteristics ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

PT. Elastis Reka Aktif including companies engaged in manufacturing made from rHDPE (recycling High Density Polyethylene). The problem that often occurs is that the achievement of the Not Good Key Point Indicator exceeds the tolerance given by management by 1%. Therefore, improvements were made using the Six Sigma method and the Failure Mode Effect Analysis method in order to get the priority of improvement targets. The first improvement proposal given to the company is for RPN 280, namely the material characteristics are not homogeneous by proposing a re-design of the silo which is in the pelletizing process and the fourth is RPN 252 where the roll takeup and winder positions are not parallel, namely by providing area boundaries in order to minimize the position not being aligned. parallel. After providing a proposal for each potential problem and socializing it to the production side, it is hoped that it can reduce the reject rate in the blowing process.

scholarly journals Peningkatan Kualitas Produk Roti Manis pada PT Indoroti Prima Cemerlang Jember Berdasarkan Metode Statistical Process Control (SPC) dan Failure Mode and Effect Analysis (FMEA)

2018 ◽  
Vol 5 (2) ◽  
pp. 200
Author(s):  
Elisa Mardya Ratri ◽  
Eka Bambang G ◽  
Marmono Singgih
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Failure Mode ◽  
Failure Modes ◽  
Statistical Process ◽  
Effect Analysis ◽  
Packing Process ◽  
Bread Production ◽  
Control Limits

This study aims to control the quality of sweet bread products at PT Indoroti Prima Cemerlang Jember by analyzing the total amount of bread produced and the amount of bread that is damaged over a period of time using Statistical Process Control (SPC) and Failure Modes and Effect Analysis ( FMEA).. Selection of sweet bread that will be studied is based on the proven data of bread production on Januari 2017 which show that the most damaged product were found in sweet bread variant, so it needs to get more attention from the company in priority improvement. Based on the p chart, the damage of sweet breads is within control limits. It is indicated by the whole point that are within UCL dan LCL. The UCL line is 0,0930, LCL line is 0,0238, and p (midline) is 0,0085. The types of damage which happened to the sweet breads are dents, filthy, leak, defated, and truncated. The damaged can be caused by three factors such as man, machine, and method. Based on FMEA (Failure Mode and Effect Analysis) Method, it shows that the priority improvement for production and packing process are different. Improvement in production process prioritized on man factor, while improvement in packing process prioritized on machine factor. Keywords: Failure Mode and Effect Analysis (FMEA), Quality Control, Statistical Process Control (SPC)  

scholarly journals Analisis Defect dengan Metode Fault Tree Analysis dan Failure Mode Effect Analysis

2019 ◽  
Vol 2 (2) ◽  
pp. 62-72
Author(s):  
Evan Nugraha ◽  
Rini Mulyani Sari
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Analysis Method ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Tree Analysis ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

There was a phenomenon that occurred in garment companies, namely the existence of defect products in the production process. In the sewing process, defects occurred with an average percentage of 6,67% in the first three months of early 2019. This 6,67% was a percentage of disability that exceeded the company percentage limit of 5%, thus disrupting the production process. The primary purposed of analyzing the factors of product defects was to find out the causes and solutions to the company. The Fault Tree Analysis method was used to find out the root caused of product defects. Three main problems caused product defects, namely 1) untidy stitches, 2) stitches that exceeded the specified size, and 3) straightened stitches. By using the Failure Mode Effect Analysis method, the three problems were caused by human error and the absence of a Standard Operating Procedure in the production process. As a solution to problems in the company, the Risk Priority Number value was used. From this study the result obtained 1 Risk Priority Number value is the proposed improvement.

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