Designing a smart risk analysis method for gas chlorination units of water treatment plants with combination of Failure Mode Effects Analysis, Shannon Entropy, and Petri Net Modeling

2019 ◽  
Vol 171 ◽  
pp. 600-608
Author(s):  
Mohammad Gheibi ◽  
Mohsen Karrabi ◽  
Mohammad Eftekhari
Keyword(s):  
Water Treatment ◽  
Risk Analysis ◽  
Failure Mode ◽  
Shannon Entropy ◽  
Petri Net ◽  
Analysis Method ◽  
Mode Effects ◽  
Water Treatment Plants

Earthquake proofing of water treatment plants through seismic system risk analysis

2013 ◽  
Vol 63 (2) ◽  
pp. 146-153
Author(s):  
Kenta Hayashi ◽  
Kimiyasu Ohtake ◽  
Keisuke Baba ◽  
Takaki Suto ◽  
Hiromichi Yoshikawa
Keyword(s):  
Water Treatment ◽  
Risk Analysis ◽  
Water Treatment Plants ◽  
System Risk ◽  
Seismic System

scholarly journals Risk Analysis in the Automotive Industry

2020 ◽  
Author(s):  
Annamária Koncz ◽  
László Pokorádi ◽  
Zsolt Csaba Johanyák
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Automotive Industry ◽  
Root Cause Analysis ◽  
Automotive Sector ◽  
Analysis Method ◽  
Effect Analysis ◽  
Cause Analysis ◽  
Root Cause ◽  
Safety And Reliability

The automotive industry is one of the most dynamically growing fields of the manufacturingarea. Besides this, it has very strict rules concerning safety and reliability. In our work, our aim is to point out the importance of the automotive industry (based on statistics) and the rules in connection with risk and root cause analysis. The most important risk analysis method is the Failure Mode and Effect Analysis (FMEA). According to standards and OEM regulations, FMEA is obligatory in the automotive sector. In our study, we summarise the area of FMEA usage, its types and process steps.

Fuzzy-analytical-hierarchy process in failure mode and effect analysis (FMEA) to identify process failure in the warehouse of a cement industry

2019 ◽  
Vol 18 (2) ◽  
pp. 378-388
Author(s):  
Azmi Hassan ◽  
Muhammad Ridwan Andi Purnomo ◽  
Adhe Rizky Anugerah
Keyword(s):  
Risk Analysis ◽  
Failure Mode ◽  
Analytical Hierarchy Process ◽  
Fuzzy Ahp ◽  
Cement Industry ◽  
Analysis Method ◽  
Fuzzy Analytical Hierarchy Process ◽  
Content Type ◽  
Hierarchy Process ◽  
Process Failures

Purpose This paper aims to identify and reduce possible process failures occurred in warehouse. Design/methodology/approach This research used risk analysis method FMEA combined with fuzzy-analytical hierarchy process (AHP). Design FMEA will direct the failure mode or failure of components into levels and will use it to analyze the product before it used in manufacturing processes. Design FMEA has a major point on the failure mode that caused inefficiency in the design while fuzzy-AHP used to reduce subjectivity in the weighting process. Findings The results show that high inventory is the dominant factor that must be controlled by the company to prevent the risk of failure processes in the warehouse, followed by the number of stocks that do not match with existing records, and misplacement of machines and/or materials. Originality/value This research used risk analysis method FMEA combined with fuzzy-AHP to identify and reduce the possible process failures in warehousing.

scholarly journals PERFORMANCE ANALYSIS OF WATER TREATMENT PLANT USING FAILURE MODE AND EFFECT ANALYSIS METHOD AND PREVENTIVE MAINTENANCE SCHEDULING

Tibuana ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 49-55
Author(s):  
Indra Dwi Febryanto
Keyword(s):  
Water Treatment ◽  
Failure Mode ◽  
Pure Water ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Plant Performance ◽  
Analysis Method ◽  
Bag Filter ◽  
Effect Analysis ◽  
Cartridge Filter

The availability of pure water is a basic requirement of the Company,which is one                               of the main requirements for the production process in order for the Company to produce the cream.In order to meet the production needs ,the Company must have a Water Treatment Plant with good performance. A good Water Treatment Plant can produce a lot of pure water to meet the water requirements required by the Company. This research is needed to get a good Water Treatment Plant performance to improve the pure water of Company XYZ. This research uses FMEA (Failure Mode and Effects Analysis) method to classify which components require maintenance and scheduling . Scheduling in                this research using RCM (Realibility Center Maintenance) method. In this research yield MTTRs and filter 0,48 hour,bag filter 0,68 hour, cartridge filter 1,22 hour.MTTF sanfilter 684 hours,bag filter 190.3hours,cartridge filter 236,8 hours.And MTBFs and filter with an average of 708 hours,bag filters with an average of 214.8 hours and a filter cartridge with an average of 260.8hours per year. In addition to MTTR, MTTF and MTBF other research is reliability (realibility) sand filter with value 0,178527412, bag filter with value 0,005394050, and cartridge filter with value 0,008884653.  

scholarly journals The idea of fuzzy logic usage in a sheet-based FMEA analysis of mechanical systems

2018 ◽  
Vol 183 ◽  
pp. 03009 ◽  
Author(s):  
Grzegorz Filo ◽  
Joanna Fabiś-Domagała ◽  
Mariusz Domagała ◽  
Edward Lisowski ◽  
Hassan Momeni
Keyword(s):  
Fuzzy Logic ◽  
Risk Analysis ◽  
Fuzzy Sets ◽  
Failure Mode ◽  
Fuzzy Inference ◽  
Logic Model ◽  
Analysis Method ◽  
Inference Process ◽  
Fmea Analysis ◽  
Logic Inference

The main purpose of the work which was carried out and is presented in this paper was to examine the possibility of using fuzzy logic inference for conducting a risk analysis with the help of a sheet-based Failure Mode and Effects Analysis method (FMEA). At the beginning, the main features of the analysed method were presented, with particular emphasis put on the Risk, Priority and Number parameters. Then, a proposal has been made which suggests using Matlab Fuzzy Logic Toolbox package in order to convert the factors into the form of fuzzy sets and to define rules for fuzzy inference process has been made. Finally, the created fuzzy logic model was used to present an example analysis of a turbocharger failure in the fuzzified form.

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