scholarly journals A Failure Mode and Effect Analysis of plant metabolism reveals why cytosolic fumarase is required for temperature acclimation in Arabidopsis

2020 ◽  
Author(s):  
Helena A. Herrmann ◽  
Pablo I. Calzadilla ◽  
Jean-Marc Schwartz ◽  
Giles N. Johnson
Keyword(s):  
Failure Mode ◽  
Environmental Conditions ◽  
Temperature Acclimation ◽  
System Stability ◽  
Plant Metabolism ◽  
Metabolic System ◽  
Effect Analysis ◽  
Rigorous Approach ◽  
Biochemical Analyses

SummaryPlants acclimate their photosynthetic capacity in response to changing environmental conditions. In Arabidopsis thaliana, photosynthetic acclimation to cold requires the accumulation of the organic acid fumarate, catalysed by a cytosolic fumarase FUM2, however the role of this is currently unclear.In this study, we use an integrated experimental and modelling approach to examine the role of FUM2 and fumarate across the physiological temperature range. Using physiological and biochemical analyses, we demonstrate that FUM2 is necessary for high as well as low temperature acclimation.To understand the role of FUM2 activity, we have adapted a reliability engineering technique, Failure Mode and Effect Analysis (FMEA), to formalize a rigorous approach for ranking metabolites according to the potential risk that they pose to the metabolic system. FMEA identifies fumarate as a low-risk metabolite. Its precursor, malate, is shown to be high-risk and liable to cause system instability. We conclude that the role of cytosolic fumarase, FUM2, is to provide a fail-safe, maintaining system stability under changing environmental conditions.We argue that FMEA is a technique which is not only useful in understanding plant metabolism, it can also be used to study reliability in other systems and aid the design of synthetic pathways.

scholarly journals Cytosolic fumarase acts as a metabolic fail-safe for both high and low temperature acclimation of Arabidopsis thaliana

2021 ◽  
Author(s):  
Helena A. Herrmann ◽  
Pablo I. Calzadilla ◽  
Jean-Marc Schwartz ◽  
Giles N Johnson
Keyword(s):  
Arabidopsis Thaliana ◽  
Low Temperature ◽  
Temperature Acclimation ◽  
System Stability ◽  
Metabolic System ◽  
Effect Analysis ◽  
Rigorous Approach ◽  
Biochemical Analyses ◽  
Fail Safe

Plants acclimate their photosynthetic capacity in response to changing environmental conditions. In Arabidopsis thaliana, photosynthetic acclimation to cold requires the accumulation of the organic acid fumarate, catalysed by a cytosolic fumarase FUM2. However, the role of this accumulation is currently unknown. In this study, we use an integrated experimental and modelling approach to examine the role of FUM2 and fumarate across the physiological temperature range. Using physiological and biochemical analyses, we demonstrate that FUM2 is necessary for high as well as low temperature acclimation. We have adapted a reliability engineering technique, Failure Mode and Effect Analysis (FMEA), to formalize a rigorous approach for ranking metabolites according to the potential risk that they pose to the metabolic system. FMEA identifies fumarate as a low-risk metabolite, while its precursor, malate, is shown to be high-risk and liable to cause system instability. We conclude that the role of cytosolic fumarase, FUM2, is to provide a fail-safe, controlling malate concentration, maintaining system stability in a changing environment. We argue that FMEA is a technique that is not only useful in understanding plant metabolism but can also be used to study reliability in other systems and synthetic pathways.

FPSO Operations on Dynamic Positioning

2011 ◽  
Author(s):  
Arjen Tjallema ◽  
Hielke Brugts
Keyword(s):  
South China Sea ◽  
Failure Mode ◽  
South China ◽  
Environmental Conditions ◽  
Lessons Learned ◽  
Simulation Program ◽  
Dynamic Positioning ◽  
Operational Experience ◽  
Effect Analysis ◽  
Start Up

As of March 2010, Bluewater’s FPSO Munin has been operating on Dynamic Positioning (DP) in the South China Sea. The station keeping is performed by the vessel’s DP system only; no anchor leg mooring is used. Offloading from the FPSO is done to conventional (non-DP) shuttle tankers. See Fig. 1. This means that the DP system has to deal with a relatively large external force, and that the tandem has to respond appropriately to changing environmental conditions. To prepare for this operation, extensive FMEA proving trials have been performed prior to start-up of production. Furthermore a bridge simulation program has been conducted in which the offloading operations have been trained. From the FMEA (Failure Mode and Effect Analysis) proving trials, the offloading simulations and operational experience, a lot of knowledge has been gained on this specific DP operation. This knowledge is not only applicable to this single operation, but can also be used to enhance many other DP operations. This paper describes the Munin’s unique DP operations and the lessons learned from the FMEA proving trials, the offloading simulation program and operations in the field.

scholarly journals ANALISA TOTAL PRODUCTIVE MAINTENANCE MESIN CINCINNATI DI PT. DIRGANTARA INDONESIA

2016 ◽  
Vol 2 ◽  
pp. 25
Author(s):  
Marni Astuti
Keyword(s):  
Production Process ◽  
Failure Mode ◽  
Cnc Machine ◽  
Total Productive Maintenance ◽  
Effect Analysis ◽  
Machine Type ◽  
Good Product ◽  
Objective Value ◽  
The Creation

The creation of a good product PT. DIRGANTARA INDONESIA assisted with production machines, one of which is the machine CNC MACHINE (DOUBLE CINCINNATI Milacron gantry ALUMINIUM TYPE-F), the role of a machine type-f CNC machine itself is very influential in the existing production process at PT. DIRGANTARA INDONESIA. The lack of treatment systems for the repair and replacement of components caused because the machines that is already beyond the age of many techniques, resulting in the production of the company to become unstable.In this study used methods Overall Equipment Effectiveness (OEE) and the concept of autonomous maintenance and using Failure Mode and Effect Analysis (FMEA) to determine analyze potential errors or failures, it is advisable to keep using autonomous maintenance as minor maintenance.            Analysis and discussion of the results obtained OEE decline in 2014 to 2015 is 86.15% to 75.62% drop is due to the low value avalaibility, and get the highest objective value RPN 441 on a 40 point damage to component Servo Off. Solutions to make improvements to enable the Total Productive Maintenance in which includes Autonomous Maintenance. Keywords: Total Productive Maintenance (TPM), Overall Equipment Efectiveness (OEE), Autonomous Maintenance, Failure Mode and Effect Analysis (FMEA)

scholarly journals Analisis Penyebab Kegagalan Mesin Wrapping Menggunakan Failure Mode And Effect Analysis di PT. X

2021 ◽  
Vol 2 (1) ◽  
pp. 33
Author(s):  
Candrianto Candrianto ◽  
Rizaldi Sardani ◽  
Rizki Fadhillah Lubis ◽  
M. Zakaria
Keyword(s):  
Failure Mode ◽  
Black Tea ◽  
Risk Priority Number ◽  
Unstable Condition ◽  
Effect Analysis ◽  
Control Team ◽  
Cutting Knife ◽  
Fmea Method

PT. X is an industry that produces green tea and black tea. In this study, there are often problems with the wrapping machine due to the age of use and the tight schedule of usage in the wrapping machine. If the machine operates in an unstable condition, it will greatly affect the results of the production. Damaged components such as cutting blades, heating heaters, thermo control and bearings. By using the Failure Mode and Effect Analysis (FMEA) method and also calculating the Risk Priority Number (RPN) value, the highest RPN value to the lowest is obtained, namely Cutting Knife (RPN = 100), Heater (RPN = 90), Thermo Control (RPN = 72) and Bearings (RPN = 36). It can be seen that the cause of damage to the wrapping machine and also the highest RPN calculation is found in the damage to the cutting knife whose RPN value is 100. From the analysis of the damage to the cutting knife, the author provides a suggested repair plan for the company so that it can be implemented in the company which can later improve the quality of the machine to be operated. for the future which cannot be separated from the supervisory role of the operators in charge of their cooperation to improve quality and the quality control team that always monitors quality.

Analytical electron microscopy of grain boundaries in Al-Cu metallizations

1992 ◽  
Vol 50 (2) ◽  
pp. 1684-1685
Author(s):  
J. R. Michael ◽  
A. D. Romig ◽  
D. R. Frear
Keyword(s):  
Electron Microscopy ◽  
Integrated Circuits ◽  
Failure Mode ◽  
Current Density ◽  
Thermal History ◽  
Analytical Electron Microscopy ◽  
Cu Metallization ◽  
Analytical Electron ◽  
Interconnect Lines

Al with additions of Cu is commonly used as the conductor metallizations for integrated circuits, the Cu being added since it improves resistance to electromigration failure. As linewidths decrease to submicrometer dimensions, the current density carried by the interconnect increases dramatically and the probability of electromigration failure increases. To increase the robustness of the interconnect lines to this failure mode, an understanding of the mechanism by which Cu improves resistance to electromigration is needed. A number of theories have been proposed to account for role of Cu on electromigration behavior and many of the theories are dependent of the elemental Cu distribution in the interconnect line. However, there is an incomplete understanding of the distribution of Cu within the Al interconnect as a function of thermal history. In order to understand the role of Cu in reducing electromigration failures better, it is important to characterize the Cu distribution within the microstructure of the Al-Cu metallization.

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.

scholarly journals Utility of Failure Mode and Effect Analysis to Improve Safety in Suctioning by Orotracheal Tube

2017 ◽  
Vol 32 (1) ◽  
pp. 28-37 ◽  
Author(s):  
Agustín Vázquez-Valencia ◽  
Andrés Santiago-Sáez ◽  
Bernardo Perea-Pérez ◽  
Elena Labajo-González ◽  
Maria Elena Albarrán-Juan
Keyword(s):  
Failure Mode ◽  
Effect Analysis ◽  
Orotracheal Tube
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