scholarly journals An ISO 9001 based approach for the implementation of process FMEA in the Brazilian automotive industry

2015 ◽  
Vol 32 (6) ◽  
pp. 589-602 ◽  
Author(s):  
Dimas Campos de Aguiar ◽  
Valério Antonio Pamplona Salomon ◽  
Carlos Henrique Pereira Mello
Keyword(s):  
Failure Mode ◽  
Potential Effect ◽  
Process Approach ◽  
Raw Material ◽  
Iso 9001 ◽  
Multidisciplinary Teams ◽  
Complex Activity ◽  
Effect Analysis ◽  
Content Type ◽  
Sequence Of Events

Purpose – The purpose of this paper is to present a structured way for the definitions of the Process Failure Mode and Effect Analysis (FMEA) attributes, such as potential failure mode, potential cause and potential effect, in order to make it simpler to define the controls and scores. Design/methodology/approach – This study performs, through a case study in incoming inspection of raw material, the comparison of a conventional application of the Process FMEA with a proposal based on the concepts of process approach defined by ISO 9001. Findings – Even written in a form similar to a script, the application of Process FMEA is a very complex activity and, like most quality tools, before being applied, FMEA should be clearly understood by the team. One way to facilitate this understanding is considering the sequence of events in the failures analysis to understand their causes and effects, just as are the sequences of inputs and outputs in the definition of the process approach addressed in ISO 9001. Originality/value – This paper shows a simple way to better structure Process FMEA, facilitating meetings with multidisciplinary teams.

Fuzzy risk assessment for electro-optical target tracker

2016 ◽  
Vol 33 (6) ◽  
pp. 830-851 ◽  
Author(s):  
Soumen Kumar Roy ◽  
A K Sarkar ◽  
Biswajit Mahanty
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Linear Equations ◽  
Mode Analysis ◽  
Failure Behavior ◽  
Membership Functions ◽  
Design And Development ◽  
Effect Analysis ◽  
Content Type ◽  
Criticality Analysis

Purpose – The purpose of this paper is to evolve a guideline for scientists and development engineers to the failure behavior of electro-optical target tracker system (EOTTS) using fuzzy methodology leading to success of short-range homing guided missile (SRHGM) in which this critical subsystems is exploited. Design/methodology/approach – Technology index (TI) and fuzzy failure mode effect analysis (FMEA) are used to build an integrated framework to facilitate the system technology assessment and failure modes. Failure mode analysis is carried out for the system using data gathered from technical experts involved in design and realization of the EOTTS. In order to circumvent the limitations of the traditional failure mode effects and criticality analysis (FMECA), fuzzy FMCEA is adopted for the prioritization of the risks. FMEA parameters – severity, occurrence and detection are fuzzifed with suitable membership functions. These membership functions are used to define failure modes. Open source linear programming solver is used to solve linear equations. Findings – It is found that EOTTS has the highest TI among the major technologies used in the SRHGM. Fuzzy risk priority numbers (FRPN) for all important failure modes of the EOTTS are calculated and the failure modes are ranked to arrive at important monitoring points during design and development of the weapon system. Originality/value – This paper integrates the use of TI, fuzzy logic and experts’ database with FMEA toward assisting the scientists and engineers while conducting failure mode and effect analysis to prioritize failures toward taking corrective measure during the design and development of EOTTS.

Cost consequence of failure in failure mode and effect analysis

2017 ◽  
Vol 34 (8) ◽  
pp. 1318-1342 ◽  
Author(s):  
Jeff Guinot ◽  
John W. Sinn ◽  
M. Affan Badar ◽  
Jeffrey M. Ulmer
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Cost Data ◽  
Ordinal Scale ◽  
Automotive Application ◽  
Manufacturing Cost ◽  
Potential Cost ◽  
Effect Analysis ◽  
Content Type ◽  
Cost Consequence

Purpose The purpose of this paper is to investigate the possibility of including the cost consequence of failure in the a priori risk assessment methodology known as failure mode and effect analysis (FMEA). Design/methodology/approach A model of the standard costs that are incurred when an electronic control module in an automotive application fails in service was developed. These costs were related to the Design FMEA ranking of the level of severity of the failure mode and the probability of its occurrence. Monte Carlo simulations were conducted to establish the average costs expected for each level of severity at each level of occurrence. The results were aggregated using fuzzy utility sets into a nine-point ordinal scale of cost consequence. The criterion validity of this scale was assessed with warranty cost data derived from a case study. Findings It was found that the model slightly underestimated the warranty costs that accrued, but the fit could be improved with adjustments dictated by actual usage conditions. Research limitations/implications Cost data used in the simulations were derived from government and academic surveys, analyses, and estimates of the manufacturing cost structure; and nominal costs for various quality issues experienced by Tier 2 automotive electronics supplier. Specificity is lacking. The sample size and the type of the failure modes used to validate the model are constrained by the number and type of products which have had demonstrable performance concerns over the past three years, with cost data available to the authors. The power of the validation is limited. The validation is considered a screening assessment. Practical implications This work relates the characterization of risk with its potential cost and develops a scaling instrument to allow the incorporation of cost consequence into an FMEA. Originality/value A ranking scale was developed that related severity and occurrence rank scores to a cost consequence rank that keys to a cost of quality figure (given as percent of sales) that would accompany a realization of the failure mode.

Use of failure mode effect analysis (FMEA) to improve medication management process

2017 ◽  
Vol 30 (2) ◽  
pp. 175-186 ◽  
Author(s):  
Khushboo Jain
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Medication Management ◽  
Management Process ◽  
Effect Analysis ◽  
Content Type ◽  
Complex Process ◽  
Mode Effect ◽  
Corrective Actions ◽  
Failure Mode Effect Analysis

Purpose Medication management is a complex process, at high risk of error with life threatening consequences. The focus should be on devising strategies to avoid errors and make the process self-reliable by ensuring prevention of errors and/or error detection at subsequent stages. The purpose of this paper is to use failure mode effect analysis (FMEA), a systematic proactive tool, to identify the likelihood and the causes for the process to fail at various steps and prioritise them to devise risk reduction strategies to improve patient safety. Design/methodology/approach The study was designed as an observational analytical study of medication management process in the inpatient area of a multi-speciality hospital in Gurgaon, Haryana, India. A team was made to study the complex process of medication management in the hospital. FMEA tool was used. Corrective actions were developed based on the prioritised failure modes which were implemented and monitored. Findings The percentage distribution of medication errors as per the observation made by the team was found to be maximum of transcription errors (37 per cent) followed by administration errors (29 per cent) indicating the need to identify the causes and effects of their occurrence. In all, 11 failure modes were identified out of which major five were prioritised based on the risk priority number (RPN). The process was repeated after corrective actions were taken which resulted in about 40 per cent (average) and around 60 per cent reduction in the RPN of prioritised failure modes. Research limitations/implications FMEA is a time consuming process and requires a multidisciplinary team which has good understanding of the process being analysed. FMEA only helps in identifying the possibilities of a process to fail, it does not eliminate them, additional efforts are required to develop action plans and implement them. Frank discussion and agreement among the team members is required not only for successfully conducing FMEA but also for implementing the corrective actions. Practical implications FMEA is an effective proactive risk-assessment tool and is a continuous process which can be continued in phases. The corrective actions taken resulted in reduction in RPN, subjected to further evaluation and usage by others depending on the facility type. Originality/value The application of the tool helped the hospital in identifying failures in medication management process, thereby prioritising and correcting them leading to improvement.

scholarly journals Analisis Manajemen Resiko berbasis ISO 9001:2015 dan ISO 31010:2009 pada Pelayanan Sistem Informasi Akademik “EduManage” di Universitas Setia Budi

2018 ◽  
Vol 7 (1) ◽  
pp. 47-57
Author(s):  
Anita Indrasari ◽  
Adhie Tri Wahyudi
Keyword(s):  
Failure Mode ◽  
Flow Chart ◽  
Iso 9001 ◽  
Effect Analysis

Teknologi Informasi (TI) dalam hal ini program Edu Manage merupakan aset penting bagi Universitas Setia Budi (USB) dalam penjaminan mutu pelayanan bidang akademik yang harus dikelola secara efektif agar penggunaannya menjadi optimal. Penggunaan IT secara optimal dapat dilakukan dengan melibatkan analisa manajemen resiko. Sasaran mutu Universitas Setia Budi (USB) yang menuntut pencapaian layanan akademik yang prima, dan banyak kasus terjadi berkaitan dengan Edu Manage, seperti: perubahan kebijakan/ aturan akademik berupa penyesuaian kurikulum, berkurangnya staf Sistem Informasi, terhentinya aplikasi karena virus dan hacker menuntut agar pengembangan pelayanan dilakukan berdasar analisa manajemen resiko. Penelitian ini bertujuan untuk memberikan rekomendasi mitigasi risiko TI pada tata kelola layanan Edumanage di USB. Analisa menggunakan pendekatan ISO 9001:2015, ISO 31010:2009 serta menggunakan Failure Mode and Effect Analysis (FMEA) sebagai alat bantunya. Dari hasil penelitian diperoleh 37 resiko yang mungkin terjadi, dengan 13 resiko yang berkategori resiko sedang hingga tinggi, sehingga direkomendasikan untuk mendapatkan prioritas mitigasi. Langkah mitigasi resiko yang direkomendasikan adalah: pengadaan UPS di server dengan kapasitas yang mencukupi dan UPS portabel di setiap node jaringan; Pembuatan SOP Backup, konsistensi pelaksanaan dan sistem controlling; Pembuatan flow chart proses, input KRS untuk mahasiswa, input mata kuliah untuk Kaprogdi yang simpel, jelas dan memudahkan user untuk memahami; Pembuatan SOP pengecekan kelengkapan data di setiap akhir semester; Sosialisasi dan notifikasi jadwal input nilai, KRS mahasiswa dan approval KRS lewat beberapa media (web, wa, dll) Kata kunci — manajemen resiko, teknologi informasi, ISO 9001:2015, ISO 31010:2009, FMEA

Evaluation of risks in foodgrains supply chain using failure mode effect analysis and fuzzy VIKOR

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rishabh Rathore ◽  
J. J. Thakkar ◽  
J. K. Jha
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Supply Chain ◽  
Failure Mode ◽  
Risk Mitigation ◽  
Supply Chain System ◽  
Effect Analysis ◽  
Content Type ◽  
Fuzzy Vikor ◽  
Multiple Attribute

PurposeThis paper investigates the risks involved in the Indian foodgrain supply chain (FSC) and proposes risk mitigation taxonomy to enable decision making.Design/methodology/approachThis paper used failure mode and effect analysis (FMEA) for risk estimation. In the traditional FMEA, risk priority number (RPN) is evaluated by multiplying the probability of occurrence, severity and detection. Because of some drawbacks of the traditional FMEA, instead of calculating RPN, this paper prioritizes the FSC risk factors using fuzzy VIKOR. VIKOR is a multiple attribute decision-making technique which aims to rank FSC risk factors with respect to criteria.FindingsThe findings indicate that “technological risk” has a higher impact on the FSC, followed by natural disaster, communication failure, non-availability of procurement centers, malfunctioning in PDS and inadequate storage facility. Sensitivity analysis is performed to check the robustness of the results.Practical implicationsThe outcomes of the study can help in deriving detailed risk mitigation strategy and risk mitigation taxonomy for the improved resilience of FSC.Originality/valueSpecifically, this research investigates the risks for foodgrains supply chain system for a developing country such as India, an area which has received limited attention in the present literature.

scholarly journals Opportunities for the applications of FMEA Model in logistics processes in Bulgarian enterprises

2017 ◽  
Vol 8 (1) ◽  
pp. 31-41
Author(s):  
Maria Vodenicharova
Keyword(s):  
Decision Making ◽  
Failure Mode ◽  
Iso 9001 ◽  
Analysis Method ◽  
Effect Analysis ◽  
Manufacturing Plants ◽  
Methods Of Analysis ◽  
Fmea Method

Abstract The article explores the use of FMEA method in the logistics processes in manufacturing plants in Bulgaria. The surveyed enterprises have a system ISO 9001 and apply different methods of analysis and assessment of logistics processes. The purpose of this study is to present a model for improving the reliability of logistics processes through the FMEA (Failure Mode and Effect Analysis) method. An inquiry among 14 organizations in the implementation of FMEA was conducted. The results show that FMEA is not used for assessment in logistics processes and provides useful insights for decision-making to improve the reliability of supply. A framework based on the survey is presented for determining the reliability of logistics processes in manufacturing plants. The study demonstrates the applicability of the method in logistics processes and the role FMEA can play in assessing logistics processes.

scholarly journals Identifikasi Faktor-Faktor Penyebab Timbulnya Cacat Pada Produk Plywood ( STUDI KASUS PADA PT. XYZ )

2019 ◽  
Vol 2 (3) ◽  
Author(s):  
Khawarita Siregar ◽  
Titania Miranda Sari
Keyword(s):  
Failure Mode ◽  
Potential Effect ◽  
Effect Analysis ◽  
Cause And Effect ◽  
Fishbone Diagram ◽  
Cause And Effect Diagram

PT. XYZ merupakan salah satu perusahaan di bidang industri kayu yang memproduksi kayu lapis (plywood). Proses produksi plywood di PT. XYZ tidak selalu berjalan lancar. Salah satu faktor yang paling mempengaruhi proses produksi plywood adalah bahan baku, yaitu log. Kendala yang sering dihadapi PT. XYZ adalah adanya produk cacat (defect/reject). Penelitian ini bertujuan untuk melakukan pemeriksaan terhadap jumlah produk cacat dengan menggunakan metode Check Sheet, menganalisa jenis cacat apa yang paling sering terjadi dengan menggunakan metode Pareto Diagram, melakukan identifikasi faktor-faktor penyebab terjadinya cacat tersebut dengan menggunakan metode Cause and Effect Diagram (Fishbone Diagram), lalu memberikan saran perbaikan sehingga dapat mengurangi jumlah cacat tersebut dengan menggunakan metode Failure Mode and Effect Analysis (FMEA) berdasarkan Risks Priority Number (RPN). Berdasarkan hasil pengolahan data diperoleh bahwa potential effect (penyebab kegagalan potensial) yang dijadikan prioritas utama untuk segera dilakukan perbaikan adalah proses penekanan tidak sempurna.

scholarly journals Usulan Perbaikan Proses Pencampuran Powder Jelly Dengan Metode Failure Mode and Effect Analysis (FMEA) Dan Pengurangan Waktu Proses di Pabrik Pangan

2019 ◽  
Vol 4 (1) ◽  
pp. 9
Author(s):  
Heris Muhamar ◽  
Hery Hamdi Azwir
Keyword(s):  
Failure Mode ◽  
Processing Time ◽  
Raw Materials ◽  
Mixing Time ◽  
Raw Material ◽  
Processed Foods ◽  
Mixing Process ◽  
Effect Analysis ◽  
Control Devices ◽  
Fmea Method

Food factory is a chemical trading and processing company for semi-finished food. One of the processed foods produced is jelly powder. The problems faced by food manufacturers are how to reduce the occurrence of product defects and the length of product mixing process that is 180 minutes for A-type 147 jelly. Proposed improvements are made by the Failure Mode and Effect Analysis (FMEA) method where defective products occur at most hardness and syneresis parameters and are caused by 4 elements namely method, environment, human, and material. In this proposed improvement, additional methods are carried out by reconsideration after the raw material is grinding (puree) because in this process additive raw materials which are free flowing will be reduced due to exposure to air, added temperature control devices in raw materials, training on raw materials, and search for new suppliers with the same specifications. At the reduction of processing time, the mixing time is 150 minutes, so the food factory can reduce the mixing time by 30 minutes.

Risk analysis of cutting system under intuitionistic fuzzy environment

2020 ◽  
Vol 1 (1) ◽  
pp. 162-173
Author(s):  
Dinesh Kumar Kushwaha ◽  
◽  
Dilbagh Panchal ◽  
Anish Sachdeva ◽  
◽  
...  
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Thermal Power ◽  
Failure Detection ◽  
Engineering System ◽  
Effect Analysis ◽  
Intuitionistic Fuzzy ◽  
Mode Effect ◽  
Cutting System ◽  
Failure Mode Effect Analysis

Failure Mode Effect Analysis (FMEA) is popular and versatile approach applicable to risk assessment and safety improvement of a repairable engineering system. This method encompasses various fields such as manufacturing, healthcare, paper mill, thermal power industry, software industry, services, security etc. in terms of its application. In general, FMEA is based on Risk Priority Number (RPN) score which is found by product of probability of Occurrence (O), Severity of failure (S) and Failure Detection (D). As human judgement is approximate in nature, the accuracy of data obtained from FMEA members depend on degree of subjectivity. The subjective knowledge of members not only contains uncertainty but hesitation too which in turn, affect the results. Fuzzy FMEA considers uncertainty and vagueness of the data/ information obtained from experts. In order to take into account, the hesitation of experts and vague concept, in the present work we propose integrated framework based on Intuitionistic Fuzzy- Failure Mode Effect Analysis (IF-FMEA) and IF-Technique for Order Preference by Similarity to Ideal Solution (IF-TOPSIS) techniques to rank the listed failure causes. Failure cause Fibrizer (FR) was found to be the most critical failure cause with RPN score 0.500. IF-TOPSIS has been implemented within IF-FMEA to compare and verify ranking results obtained by both the IF based approaches. The proposed method was presented with its application for examining the risk assessment of cutting system in sugar mill industry situated in western Uttar Pradesh province of India. The result would be useful for the plant maintenance manager to fix the best maintenance schedule for improving availability of cutting system.

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