scholarly journals Integrasi Statistical Process Control dan Failure Mode And Effect Analysis Guna Meminimalisasi Defect Pada Proses Produksi Pipa PVC

2021 ◽  
Vol 5 (2) ◽  
pp. 65
Author(s):  
Ananda Hernawan ◽  
Nina Aini Mahbubah
Keyword(s):  
Human Error ◽  
Standard Operating Procedure ◽  
Quality Standard ◽  
Statistical Process ◽  
Effect Analysis ◽  
Training And Supervision ◽  
Sink Marks ◽  
Fmea Analysis ◽  
Manufacture Enterprise ◽  
Cause And Effect Diagram

<p><em>Quality can be referred as fitness to use. Furthermore, Quality standard is considered as a way in order to meet customers’ need.  PT AZ is a manufacture enterprise which produce polyvinyl chloride (PVC) pipes. This firm has been implementing a Standard Operating Procedure (SOP) in maintaining defect with no more than 2,5% reject product during process production. However, such defects have been happened in production line which were not meet company standards. This study aims to evaluate defect along production process in order to find suitable solution in improving product quality. Seven Tools and Failure and Mode and Effect Analysis (FMEA) were used as research method.  The results showed that there were 3 types of defects, namely spot defect, sink marks ant scratch defect. Furthermore, the results of the Cause-and-effect diagram show that human error, </em><em>material</em><em>s and machine are considered as main factors in contributing such defect. In addition, result from FMEA analysis detect that analysis and calculation of the highest RPN 147, namely the human factor is considered as the highest Risk Priority Number with 147 score. This study suggest that further training and supervision should be give to employees in order to improve employers’’ knowledge</em></p><p><em><br /></em></p>

Quality Control of Plastic Cup Products Using Statistical Process Control Methods and Failure Modes and Effect Analysis

2019 ◽  
Vol 7 ◽  
Author(s):  
Kurniawan Eka Rusandi ◽  
Wiwik Sulistiyowati
Keyword(s):  
Quality Control ◽  
Process Control ◽  
Statistical Process Control ◽  
Failure Modes ◽  
Total Production ◽  
Statistical Process ◽  
Effect Analysis ◽  
A Value ◽  
Fmea Analysis ◽  
Cup Products

PT. ICP is a company engaged in manufacturing of packaging, with a wide variety of packaging technologies that fit the needs of the current market share. Among the resulting product is aplastic cup, the results of thermoforming. This research aims to know the main cause of the defect (defect) in a plastic cup products and to reduce product defects in the production process. From the results of the observations made in September 2017 until December 2017 known that the plastic cup products with total production of 63,314,964 pcs to 3,671,341 pcs disability amount. Based on the problems faced by the company efforts on product quality control plastic cup to find the cause of a disability and find solutions for improvement. Proper methods used in the problems that occurred in PT ICP are using Statistical Process Control (SPC) and the method of Failure Mode and Effects Analysis (FMEA). The method is intended to reduce defects in the product and look for the main cause of defect products in a plastic cup. From the results of research conducted has been known that the biggest cause of disability plastic cup is of a rough lip with disabilities amount of 1,346,308 pcs with a cumulative value of 42%. FMEA analysis and the results of that unknown cause rough lip is from wear cutting factor with a value of 224 RPN.

scholarly journals IDENTIFIKASI KECACATAN COIL BASAH DAN UPAYA PERBAIKAN DENGAN METODE SEVEN TOOLS DAN FAULURE MODE AND EFFECT ANALYSIS (FMEA) DI PT. XYZ MEDAN

2018 ◽  
Vol 18 (2) ◽  
pp. 101-107
Author(s):  
Tiara Melinda ◽  
Elisabeth Ginting
Keyword(s):  
Operating Procedure ◽  
Control Chart ◽  
Standard Operating Procedure ◽  
Effect Analysis ◽  
Cause And Effect ◽  
Standard Operating ◽  
Cause And Effect Diagram

PT. XYZ merupakan perusahaan yang bergerak dibidang insektisida dengan produk obat nyamuk bakar (coil). PT. XYZ melakukan proses produksi sesuai dengan Standard Operating Procedure (SOP) yang telah ditetapkan , namun pada kenyataanya masih ditemukan produk yang tidak sesuai dengan spesifikasi yang diinginkan perusahaan (cacat). Identifikasi kecacatan coil basah dilakukan dengan menerapkan metode Seven Tools. Hasil penelitian menunjukkan terdapat tiga jenis kecacatan yang terjadi yaitu coil terpotong sebanyak 4757 dc, coil retak sebanyak 3307 dc dan coil renggang sebanyak 2375 dc. Faktor penyebab kecacatan umumnya dipengaruhi viskositas tepung onggok yang berperan sebagai perekat adonan coil. Hasil control chart menunjukkan jumlah produk cacat yang berada diluarcontrol yaitu sebesar71,43%. Hasilbrainstormingyang dirincikan pada cause and effect diagram, didapat beberapa faktor yang menyebabkan tingginya kecacatan yaitu faktor manusia dan mesin. Langkah selanjutnya adalah menetapkan faktor penyebab kecacatan dengan metode FMEA. Jenis kecacatan terpotong memiliki nilai RPN tertinggi pada faktor manusia yang kurang inisiatif sebesar 240.Jenis kecacatan retak memiliki nilai RPN tertinggi pada faktor mould bermasalah sebesar 256.

scholarly journals ANALISIS DAN REKAYASA PROSES BISNIS PADA BAGIAN LAYANAN AKADEMIK DI SEKRETARIAT FAKULTAS SAINS DAN TEKNOLOGI UNIVERSITAS MA CHUNG

2017 ◽  
Vol 12 (3) ◽  
pp. 161
Author(s):  
Andy Lieman Candra
Keyword(s):  
Business Process ◽  
Business Processes ◽  
Business Process Reengineering ◽  
Value Added ◽  
Standard Operating Procedure ◽  
Business Value ◽  
Process Reengineering ◽  
Cause And Effect ◽  
Standard Operating ◽  
Cause And Effect Diagram

AbstrakSekretariat Fakultas Sains dan Teknologi Universitas Ma Chung merupakan fakultas dimana Penulis melakukan penelitian. Tujuan dari penelitian ini adalah untuk menganalisis proses bisnis yang ada di Sekretariat Fakultas Sains dan Teknologi Universitas Ma Chung berdasarkan dari hasil wawancara dengan beberapa stakeholder yang memiliki kebutuhan ataupun keluhan terhadap setiap proses bisnis yang berjalan, mengidentifikasi permasalahan dari proses bisnis yang kurang efisien dan membuat usulan perbaikan untuk setiap proses bisnis dengan menggunakan pendekatan ilmu Business Process Reengineering (BPR). Penulis juga menggunakan metode analisis nilai tambah pada penelitian ini. Tujuan dari penggunaan metode analisis nilai tambah adalah untuk mengkategorikan langkah maupun elemen kerja ke dalam tiga kategori, yakni value adding, business value adding dan non value adding. Pengaktegorisasian tersebut bertujuan untuk menghilangkan langkah maupun elemen kerja yang termasuk kedalam non value adding dan meminimalkan langkah maupun elemen kerja yang termasuk kedalam business value adding. Penulis mengidentikasi permasalahan setiap proses bisnis dengan menggunakan diagram sebab akibat. Diagram sebab akibat dapat menggambarkan dengan jelas mengenai permasalahan dengan faktor-faktor penyebab yang memengaruhi permasalahan di setiap proses bisnis. Hasil dari penelitian ini adalah pendesainan ulang setiap proses bisnis menurut kebutuhan dan keluhan dari stakeholder dan setiap proses bisnis di Sekretariat Fakultas Sains dan Teknologi didokumentasikan dalam bentuk standard operating procedure (SOP). AbstractSecretariat of Faculty of Science and Technology Ma Chung University is a place where the author conducts research. The purposes of this research are to analyze business processes in Secretariat of Faculty of Science and Technology Ma Chung University based on interview results with some stakeholders who have needs or complaints with ongoing business processes, identify problems of less efficient business processes and make proposed improvements for each business process using the Business Process Reengineering approach. Author also uses value added analysis method on this research. The purpose of using value added analysis method is to categorize steps or tasks in every business process into three categories: value adding, business value adding and non value adding. The categorizations aim to eliminate steps or tasks included into non value adding and minimize steps or tasks included into business value adding. Author identifies problems of each business process by using cause and effect diagram. Cause and effect diagram can clearly illustrate the problems with the underlying factors that affect the problem in each business process. The results of this research are redesigning every business processes according to the interview results with stakeholders about their needs and complaints and also every business process in Secretariat of Faculty of Science and Technology are documented in the form of standard operating procedure. Keywords: Business Process Reengineering, Value Added Analysis, Standard Operating Procedure and Cause and Effect Diagram.

Software FMEA Analysis for Safety Software

2009 ◽  
Author(s):  
Gee-Yong Park ◽  
Sup Hur ◽  
Dong H. Kim ◽  
Dong Y. Lee ◽  
Kee C. Kwon
Keyword(s):  
Failure Modes ◽  
Block Diagram ◽  
Test Procedure ◽  
Safety Analysis ◽  
Software Safety ◽  
Effect Analysis ◽  
Function Blocks ◽  
Software Code ◽  
Fmea Analysis ◽  
Reactor Protection System

This paper describes a software safety analysis for a software code that is installed at an Automatic Test and Interface Processor (ATIP) in a digital reactor protection system. For the ATIP software safety analysis, an overall safety analysis is at first performed over the ATIP software architecture and modules, and then a detailed safety analysis based on the software FMEA (Failure Modes and Effect Analysis) method is applied to the ATIP program. For an efficient analysis, the software FMEA is carried out based on the so-called failure-mode template extracted from the function blocks used in the function block diagram (FBD) for the ATIP software. The software safety analysis by the software FMEA, being applied to the ATIP software code which has been integrated and passed through a very rigorous system test procedure, is proven to be able to provide very valuable results (i.e., software defects) which could not be identified during various system tests.

Wait time reduction for patients awaiting chemotherapy infusion using a formal process improvement approach and sequential.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 92-92
Author(s):  
Andrew David Norden ◽  
Lori A. Buswell ◽  
Meg Amorati ◽  
Lois Arthur ◽  
Antoinette Bernard ◽  
...  
Keyword(s):  
Wait Time ◽  
Baseline Data ◽  
Cancer Center ◽  
Wait Times ◽  
Time Data ◽  
Statistical Process ◽  
Effect Analysis ◽  
Process Improvements ◽  
Reminder System ◽  
Exam Room

92 Background: At a community hospital satellite of an academic cancer center, baseline data indicated that 49% of patients waited longer than 30 minutes from arrival in the treatment chair until treatment was started, resulting in dissatisfaction and decreased chair turnover. Methods: A team was assembled, including physicians, nurses, pharmacists, and administrative staff. The team constructed a detailed process flow map and performed a cause-and-effect analysis. Wait time data were collected using the electronic scheduling system and time sheets. Additionally, nurses used a structured data collection sheet to categorize the reasons for prolonged wait times. A p-type statistical process control chart was constructed to track the proportion of infusion visits per day with wait times longer than 30 minutes. The team brainstormed process improvements and selected ones to implement by employing a priority/pay-off matrix. Results: Baseline data were assessed for 403 visits over a 3 week period. Of 232 visits with wait times longer than 30 minutes, 98 (42%) involved excessive waiting for the physician to see the patient or write orders. One of 4 physicians was responsible for 56 (57%) of these. This physician’s patients were seen exclusively in the infusion room, while the other physicians saw patients in the exam room before sending them to the infusion area. Three PDSA cycles were conducted: (1) All physicians started seeing patients in the exam room before sending them to infusion chairs, (2) Specific treatments were selected that could be routinely administered without the physician seeing the patient, and (3) A reminder system prompted physicians to enter treatment orders within 24 hours of each patient’s visit. After 6 months, 29% of patients waited longer than 30 minutes, down from 49% at baseline. Conclusions: These interventions implemented using PDSA cycles successfully reduced wait times. Measurement and presentation of data were critical in persuading physicians to practice in a more homogeneous fashion.

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 Quality of services: an application with customer complaint data from a telecommunication company

2021 ◽  
Vol 12 (4) ◽  
pp. 928-944
Author(s):  
Jorge alberto Achcar ◽  
Daniel Marcos Godoy
Keyword(s):  
Count Data ◽  
Regression Models ◽  
Quality Standard ◽  
Logarithmic Scale ◽  
Linear Regression Models ◽  
Statistical Process ◽  
Factors Affecting ◽  
Customer Complaint ◽  
Telecommunication Company

The evaluation of the service quality standard of a telecommunication company using statistical process control (SPC) methods is the main goal of this paper. The study used a dataset collected from January 2018 to November 2019 associated with monthly and weekly customer complaint counts due to the technical services provided by the company. Multiple linear regression models with the count data transformed to a logarithmic scale and Poisson regression models with the original count data detected some significant factors affecting the weekly/monthly complaint counts. In addition, forecasts of future complaint counts based on the statistical models could be of interest for the company to plan the number of technicians in different sectors at different times of the year leading to improvements in the service provided by the telephone company.

scholarly journals Analisis Penyebab Kerusakan Hot Rooler Table dengan Menggunakan Metode Failure Mode And Effect Analysis (FMEA)

2018 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Muhamad Bob Anthony
Keyword(s):  
Failure Mode ◽  
Section Mill ◽  
Effect Analysis ◽  
Iron And Steel ◽  
Furnace Section ◽  
Human Aspects ◽  
Process Failure ◽  
Mill Unit ◽  
Fmea Method ◽  
Fmea Analysis

This research was conducted in an international company engaged in iron and steel products manufacturing industries. One of the equipment that is often damaged is a hot roller table machine in the furnace section mill unit. The availability results obtained in hot roller table equipment is 96.571% and is still below the company standard which is set at 98%. Therefore, we need an analysis of the root causes of the problem and search for the best solution to fix the existing problem by applying the method of Failure Mode and Effect Analysis (FMEA). FMEA is a method that can systematically and structurally analyze and identify the consequences of a system or process failure, and also reduce or analyze the probability of failure. The purpose of this study is to identify and analyze the level of damage and its causes with the application of the FMEA method. Based on the pareto diagram the damage to the hot roller table machine, it was found that the highest frequency of damage was in the rotary coupling with a down time percentage of 26.9%. From the FMEA Analysis, two components that have very high RPN values are categorized as potential severit i.e. bearing as the first with an RPN value of 392 and the second is a seal ring with an RPN value of 294. The two components are the main priority for repair of the furnace section. mill, especially for machine and human aspects.

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.

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