scholarly journals Risk management of shallot supply chain using failure mode effect analysis and analytic network process (case study in Batu, East Java)

2019 ◽  
Vol 230 ◽  
pp. 012055
Author(s):  
M Kurniawan ◽  
I Santoso ◽  
M A Kamal
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Failure Mode ◽  
Analytic Network Process ◽  
Effect Analysis ◽  
Mode Effect ◽  
Network Process ◽  
Failure Mode Effect Analysis

scholarly journals A Case Study on Recall of used Scopes in the Endoscopy Department by using a Failure Mode & Effect Analysis (FMEA) Proactive Risk Management

2020 ◽  
pp. 13-24
Author(s):  
Zuber Mujeeb Shaikh
Keyword(s):  
Risk Management ◽  
Failure Mode ◽  
Failure Modes ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Mode Effect ◽  
Potential Failure ◽  
Failure Mode Effect Analysis

Failure Mode and Effects Analysis (FMEA) is the process of reviewing as many components, assemblies, and subsystems as possible to identify potential failure modes in a system and their causes and effects. The study revealed that the Risk Priority Number (RPN) was initially 450 and it has decreased to 90 after implementing all the actions in FMEA.

Risk and DoE-Based Analytical Failure Mode Effect Analysis (AFMEA) to Simultaneous Estimation of Montelukast Sodium and Bilastine by HPTLC Method Using Enhanced AQbD Approach

2021 ◽  
Author(s):  
Pintu Prajapati ◽  
Jayesh Tamboli ◽  
Ashish Mishra
Keyword(s):  
Risk Management ◽  
Failure Mode ◽  
Failure Modes ◽  
Simultaneous Estimation ◽  
Effect Analysis ◽  
Quality Risk Management ◽  
Montelukast Sodium ◽  
Mode Effect ◽  
Quality Risk ◽  
Failure Mode Effect Analysis

Abstract The fixed-dose combination (FDC) of montelukast sodium (MLS) and bilastine (BIL) is used for monotherapy in the patient with seasonal allergic rhinoconjuctivitis and asthma. According to the upcoming ICH (International Council for Harmonization) Q14 guideline, the development of the analytical method by the implementation of the Analytical Quality by Design (AQbD) approach based on principles of Quality Risk Management (QRM) and design of experiments (DoE) would be a regulatory requirement for the registration of new drug substance and product in ICH countries. Hence, a robust high-performance thin layer chromatography method has been developed, which was not previously reported for simultaneous estimation of MLS and BIL using risk and DoE-based enhanced AQbD approach. The analytical failure mode effect analysis (AFMEA) was started with the identification of potential analytical failure modes followed by their effect analysis by RPN ranking and filtering method. The DoE-based AFMEA was applied for optimization of high-risk analytical failure modes by central composite design using Design-Expert software. The method operable design ranges and control strategy was set for quality risk management throughout the lifecycle of the developed method. The developed method was validated as per ICH Q2 (R1) guideline. The method was applied for the assay of FDC, and results were found in compliance with the labeled claim.

scholarly journals PENGUKURAN RISIKO KEAMANAN PANGAN PADA SISTEM RANTAI PASOK IKAN SEGAR

2018 ◽  
Vol 13 (1) ◽  
pp. 37 ◽  
Author(s):  
Hana Catur Wahyuni ◽  
Wiwik Sumarmi
Keyword(s):  
At Risk ◽  
Supply Chain ◽  
Food Security ◽  
Food Safety ◽  
Failure Mode ◽  
Effect Analysis ◽  
Mode Effect ◽  
Fish Marketing ◽  
Failure Mode Effect Analysis ◽  
The Way

AbstrakTerjadinya berbagai macam penyakit yang bersumber dari makanan menyebabkan masyarakat semakin  sadar akan pentingnya mengkonsumsi makanan yang aman. Pengelolaan keamanan pangan harus dilakukan secara terintegrasi di sepanjang rantai pasok, agar tidak terjadi perubahan status pangan dari aman menjadi tidak aman. Oleh karena itu, untuk mengantisipasi perubahan tersebut, maka perlu dilakukan analisa risiko keamanan pangan pada rantai pasok agar dapat dirumuskan langkah- langkah strategis untuk meminimalisir risiko yang terjadi. Penelitian ini bertujuan untuk (1) melakukan identifikasi kegiatan-kegiatan pada rantai pasok yang mengandung risiko terhadap keamanan pangan, (2)  melakukan pengukuran risiko keamanan pangan  yang terjadi pada rantai pasok pangan, (3) mengetahui kegiatan pada rantai pasok yang paling berisiko terhadap keamanan pangan. Obyek penelitian yang digunakan adalah rantai pasok ikan segar di wilayah Kab Sidoarjo. Pengolahan data dilakukan dengan menggunakan metode risk FMEA (Failure Mode Effect Analysis). Hasil penelitian menunjukkan bahwa terdapat 11 kegiatan yang berisiko pada sistem keamanan pangan, yaitu: (1) pemberian makanan pada ikan; (2) pengelolan sistem kebersihan kolam/ tambak; (3) proses memanen ikan; (4) cara pemilahan ikan; (5) cara penyimpanan ikan; (6) cara pemasaran ikan; (7) jenis kendaran yng digunakan untuk pengiriman ikan; (8) cara penyimpanan saat pengiriman ikan; (9) cara memindahkan ikan; (10) cara penangganan ikan yang tidak terjual; (11) cara penangganan ikan tidak layak jual. Dari 11 kegiatan berisiko tersebut, skor resiko tertinggi terdapat pada cara penyimpanan ikan, cara pemasaran ikan, jenis kendaraan yang digunakan untuk pengiriman ikan dan cara pengemasan ikan pada saat distribusi.  AbstractThe occurrence of various diseases that are sourced from food cause the public increasingly aware of the importance of consuming safe foods. Food safety management must be integrated throughout the supply chain, in order to avoid the change of food status from safe to unsafe. Therefore, to anticipate the change, it is necessary to analyze food security risk in supply chain in order to formulate strategic steps to minimize the risk that happened. This research aims to (1) identify activities in supply chains that contain risks to food security, (2) measuring food safety risks that occur in the food supply chain, (3) to know the activities in the supply chain that are most at risk to food security. The research object used is fresh fish supply chain in Sidoarjo regency. Data processing is done by using risk method FMEA (Failure Mode Effect Analysis). The results show that there are 11 activities that are at risk to food safety system, namely: (1) feeding on fish; (2) management of pond cleanliness system; (3) the process of harvesting fish; (4) how to sort fish; (5) how to store fish; (6) how to fish marketing; (7) type of vehicle used for fish delivery; (8) how to store when shipping fish; (9) how to move fish; (10) unsubscriptions of unsold fish; (11) the way a fish subscription is not worth selling. Of the 11 risk activities, the highest risk score is in the way of fish storage, the way of fish marketing, the type of vehicle used for fish delivery and the way of fish packaging at the time of distribution. Keyword: Shain Supply; Safety Food; FMEA; Fish; Risk

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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