scholarly journals Process improvement design at PT URW using failure mode and effect analysis

2021 ◽  
Vol 896 (1) ◽  
pp. 012077
Author(s):  
A Bakhtiar ◽  
I W Nurwidanto ◽  
S Hartini ◽  
P A Wicaksono

Abstract PT URW is a company engaged in the textile sector that processes yarn into semi-finished fabrics. Such is the case that PT URW has a problem with its waste materials. To address this, the researcher has implemented the method of failure mode and effect analysis (FMEA). In data collection and processing, the researcher defined the problem, collected data, took measurements using the critical waste method, and interpreted the data into the Pareto Chart. The area that had the greatest value was continued to the analysis stages of critical waste analysis, FMEA analysis, and alternative solutions. The research was concluded by providing corrective solutions based on the potential causes that had been found in the previous stage and by validating the formed planned improvements.

2018 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Muhamad Bob Anthony

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.


2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Mila Faila Sufa ◽  
Umi Khoiriyah

<span class="fontstyle0">A company should pay attention to operational risk to maximise its efficiency and effectivity.<br />Identification of failure and the cause and the impact of the failure at milling station is needed to be done so that the sugar production process can run well. Here, we employ a failure mode and effect analysis to identify the failure and its effect. We obtain 22 operational risks with two critical risks. The two critical risks are then used as top event in analysing the cause of the failure. The result from fault tree analysis shows that there are 4 basic events, which are the turbine vibrates, schedule part’s change before failure, high rainfall and the schedule and priority of processing</span>


2016 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Raisha Pratidina ◽  
Muhammad Syamsun ◽  
Nur Hadi Wijaya

<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>


Pomorstvo ◽  
2021 ◽  
Vol 35 (1) ◽  
pp. 109-117
Author(s):  
Nurwahyudi Nurwahyudi ◽  
Erry Rimawan

A company service’s higher quality is indicated by its service performance’s effectiveness and efficiency. This can increase customers’ satisfaction, thus leads to the increase of company income. This research objective was to know the effects of 5 dimensions constructing service quality, including the effects of service quality on customers’ satisfaction in freight forwarder industry. Current research collected data through purposive sampling, by distributing questionnaire to 86 customers continued by data processing by measuring the gap and tested statistically using SmartPLS program, priority scale mapping using Importance Performance Analysis, and improvement using Failure Mode and Effect Analysis. The first findings obtained from this research was analysis result using IPA discovering 10 indicators which require improvement in which 7 indicators were found the same through GAP measurement. The second finding was the biggest component which needs improvement in freight forwarder service in Indonesia, which is reliability dimension. Therefore, concerns need to be given to these matters so that more accurate and reliable service can be provided.


2018 ◽  
Vol 13 (2) ◽  
pp. 67
Author(s):  
Much. Djunaidi ◽  
Andrew Krishna Ryantaffy

AbstrakTransportasi udara menjadi moda trasportasi yang terus berkembang di Indonesia. Dukungan terhadap sistem transportasi udara yang aman sangat dibutuhkan. Oleh karena itu, proses pembuatan pesawat terbang yang dilakukan di PT. Dirgantara Indonesia perlu terus dijaga kualitasnya.  Artikel ini membahas masalah kecacatan komponen rib pada wing structure pesawat CN235 pada saat proses perakitan struktur sayap pesawat.  Data menunjukkan bahwa komponen yang banyak mengalami kegagalan adalah rib, dengan tingkat keparahan yang ditimbulkan masuk dalam kategori fatal. Dengan menggunakan pendekatan failure mode effect analysis, kasus terjadinya rib yang tidak sesuai menjadi bentuk modus kegagalan yang menjadi prioritas perbaikan dengan nilai RPN yang tertinggi dibandingkan dengan modus-modus kegagalan lainnya. Alternatif solusi untuk mengatasi masalah tersebut adalah dengan melakukan inspeksi yang lebih ketat terhadap komponen khusus, serta melakukan analisis untuk faktor-faktor yang lain. Abstract[Analysis of Non-conforming Part on Wing Structure Aircraft CN-235 Using FMEA (Failure Modes Effect Analysis) Method] Air transportation is becoming a growing transportation mode in Indonesia. Support for safe air transport systems is needed. Therefore, the process of making aircraft that is done in PT. Dirgantara Indonesia needs to keep its quality. This article discusses the problem of the components of the rib component in the wing structure of the CN235 aircraft during the assembly process of the aircraft wing structure. The data indicate that the components that many fail are rib, with the severity generated into the fatal category. By using the failure mode effect analysis approach, the case of incompatible rib becomes the form of failure mode that becomes the priority of improvement with the highest RPN value compared to other failure modes. Alternative solutions to overcome these problems is to conduct more rigorous inspections of specific components, as well as perform analysis for other factors.Keywords: FMEA; Wing structure; Rib component; Safety flight


Jurnal IPTEK ◽  
2016 ◽  
Vol 20 (2) ◽  
pp. 1
Author(s):  
Ni Luh Putu Hariastuti ◽  
Rony Nur Cahya

<p class="Default">PT. Autokorindo Pratama Gresik adalah sebagai salah satu produsen <em>velg</em> <em>truck</em> dan <em>bus</em> di Indonesia. Penelitian ini menitiberatkan pada penggabungan konsep<em> lean manufactur</em> dan konsep <em>six sigma </em> yaitu <em>lean sigma</em> untuk memperbaiki kualitas. <em>Tools lean sigma </em>yang dipakai pada penelitian ini adalah <em>Value Stream Mapping</em>, <em>pareto chart</em>, <em>fishbone </em>diagram, dan Failure Mode and Effect Analysis. Dari hasil penelitian diperoleh <em>waste</em> terkritis yaitu <em>waste</em> <em>defect</em>, <em>waste motion</em>, dan <em>transportation</em> dan <em>waste waiting </em>pada proses produksi <em>disc</em>, <em>rim</em>, <em>ring, assy,</em> dan <em>paint</em>. Dalam penelitian ini jenis <em>waste</em> <em>defect</em> tertinggi adalah dimensi <em>part</em> tidak sesuai pada proses <em>expanding </em>yang terdapat pada<em> </em>proses produksi <em>rim</em> dengan jumlah <em>defect</em> 1900 unit. Dan <em>waste transportation</em> adalah jarak antara proses <em>assy</em> dengan proses paint sejauh 100 m. Dengan perbaikan ini diharapkan dapat menyelesaikan masalah yang berkaitan dengan meminimalisasi terjadinya <em>waste</em> <em>defect</em>, <em>waiting</em>, <em>motion</em>, dan <em>transportation</em>. </p><p><strong> </strong></p><p><strong>Kata Kunci  : </strong><em>Waste, Lean Sigma,Value Stream Mapping, Pareto Chart, Fishbone Diagram, </em>dan <em>Failure Mode and Effect Analysis. </em></p>


2016 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Raisha Pratidina ◽  
Muhammad Syamsun ◽  
Nur Hadi Wijaya

<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>


2016 ◽  
Vol 834 ◽  
pp. 61-66
Author(s):  
Nadia Belu ◽  
Laurentiu Mihai Ionescu ◽  
Daniel Constantin Anghel ◽  
Nicoleta Rachieru

This research introduces a new approach of using Failure Mode and Effect Analysis (FMEA) and Genetic Algorithm to improvement of manufacturing process – welding process. FMEA analysis is used to measure the weight of failures by calculating the Risk Priority Number (RPN) value for welding process. By FMEA we have identified precisely the main causes which lead to the appearance of many failures for which the RPN value is highest. Then we have established the parameters which are directly responsible of these causes. By using these parameters we have got a function that actually has to be improved optimized. This is going to be the objective function for the Genetic Algorithm.


2018 ◽  
Vol 154 ◽  
pp. 01084 ◽  
Author(s):  
Taufiq Immawan ◽  
Wahyudhi Sutrisno ◽  
Annisa Kamilia Rachman

Industrial development in Indonesia, manufacturing and services, are required to be able to manage the company very well. However, in practice, the company’s activities are always faced with risks. In general, the risk can be defined as a situation faced by a person or a company in which there is a possibility that harm. The level of risk faced losses due to highly variable depending on the cause and effect influence. To be able to manage (risk management), it can use FMEA (Failure Mode and Effect Analysis). FMEA is a method of analyzing potential failure are applied in product development, system engineering and operational management and is one of a qualitative risk assessment. Using FMEA can also note the value of the RPN (Risk Priority Number) to determine improvement priorities at risk. But there are weaknesses in the use of FMEA, namely RPN calculation is only done by multiplying the severity, occurence and detection alone and irrespective of the degree of importance of each input, to the FMEA method is integrated using fuzzy logic. Fuzzy FMEA is aimed at obtaining the highest fuzzyRPN value which will be used as the focus of improvements to minimize the possibility of these risks occur back. The results were obtained 7 out of 18 types of risks that have a high priority for repairs. Risk troublesome computer (hank / die) while doing photo editing scored the highest RPN 540 (scale 1-1000) and also the highest FRPN 9 (scale 1-10). There is a difference in value between RPN and FRPN. FRPN value obtained from the fuzzification, generate value by taking into account the degree of interest of any given input.


2017 ◽  
Vol 22 (1) ◽  
pp. 1-10
Author(s):  
Nur Wening ◽  
Muhammad Al Hasny ◽  
Ridha Fitryana

This research aims to formulate marketing strategy to increase visitors of Gembira Loka Garden and Zoo (KRKB Gembira Loka) in Yogyakarta. This research is qualitative research and uses interview, observation, and documentation as data collection method. The data is analyzed by using SWOT analysis with internal and external variable identification. The internal variable shows that location is the main strength of Gembira Loka KRKB with 0.17 by value and 5 by rating. From external variable, the result of EFAS table shows that Gembira Loka KRKB has good enough chance while the thread has less result than the chance. Gembira Loka KRKB is in quadrant 1, which is the position in which a company is considered to be in a beneficial situation due to its chance and strength. In such case, the company can utilize the chance by maximizing the strength. The following strategy to go through in this condition is supporting aggressive planning.


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