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Register a new userRisk Evaluation in Failure Mode And Effect Analysis (FMEA) by Integration of Interval Type-2 Fuzzy Rule-Base System and a Version of AHP
تقييم الخطورة في تحليل نمط العطل و آثاره بمكاملة نظام استدلال عائم مجالي من النمط الثاني مع إحدى نسخ إجرائية التحليل الهرمي
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Publication date
2017
and research's language is
العربية
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تُعتَبَر منهجية تحليل نمط العطل و آثاره (Failure Mode and Effects Analysis (FMEA واحدة من أشهر إجراءات ضمان جودة و وثوقية المنتجات و الأنظمة و إجرائيات التصنيع. تعاني آلية تقيّيم وترتيب خطورة أنماط الأعطال المتبعة في FMEA من الكثير من العيوب، وتشكّل محط انتقاد العديد من الباحثين.
Failure Mode and Effects Analysis (FMEA) is a risk assessment tool that explores, identifies, and prioritizes the potential failure modes in a system, process, service or design. The failure modes prioritizing technique used by FMEA has been criticized to have many deficiencies, and various risk priority models have been proposed in the literature to enhance the performance of FMEA.
References used
(AHMED, AHMED MOHAMED, and MAGED MAHMOUD. "Composite FMEA for risk assessment in the construction projects based on the integration of the conventional FMEA with the method of pairwise comparison and Markov chain." (2014
Asan, Umut, and Ayberk Soyer. "Failure mode and effects analysis under uncertainty: a literature review and tutorial." Intelligent Decision Making in Quality Management. Springer International Publishing, 2016. 265-325
Bowles, John B., and C. Enrique Peláez. "Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis." Reliability Engineering & System Safety 50.2 (1995): 203-213
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Blood glucose control reduces the microvascular and macrovascular
complications in patients with diabetes mellitus type II. According to the American Diabetes Association, less than a half of those with diabetes achieve optimal control of blood gluc
ose and target values of HbA1c. Life style modifications is one of the preferences of diabetes management because the potential relationship between diet and diabetic control. So nutrition therapy which given by dietitian and generally lifestyle modifications are considered mainly integrated to traditional medication for disease.
The study included 104 patients with diabetes type II (HbA1c 8% ± 1.07, BMI 26.45 ± 2.69, fasting blood glucose 148.25 ± 33.76) given diabetes self-management education program and divided into two groups. The first group was treated with glibenclamide only and the second was treated with a combination of glibenclamide and metformin. After three months monitoring, 103 patients Completed the study. Therapeutic efficacy was evaluated considering HbA1c ≤ 6.5% as a target value. The necessary statistical study to analyze the data and evaluate the statistical
significance of the results was made.
The results indicate that the treatment supported with life style
modifications was more effective than traditional therapy and patient education at blood glucose control in patients with diabetes mellitus type II and improve their health.
Type 2 Diabetes mellitus T2DM has been suggested to be the most common
metabolic disorder associated with magnesium deficiency which has many adverse
outcomes. The aim of this study was to evaluate plasma Mg in 126 T2DM patients
recruited from Dia
betes Centre in Lattakia, compare them to 70 healthy individuals, and
assess the correlation between plasma Mg and HbA1c as a glycemic control biomarker.
Magnesium was measured using xylidyl blue colorimetric method. HbA1c was measured
using ion-exchange resin separation. The SPSS 19.0 software was used for statistical
analysis. Mean plasma Mg concentrations of the diabetics was significantly lower than
controls (P=0.0001). Plasma magnesium was negatively correlated with HbA1c (r=-0.5,
P=0.0002). Plasma magnesium was below the normal reference range (1.9-2.5 mg/dL) in
47.6% of diabetics and 28.6% of controls. In conclusion, it is important to monitor Mg
levels in both T2DM patients and non-diabetics and take procedures to correct
hypomagnesaemia states.
In this paper, we propose an implementation of hierarchical failure
detectors, which depends on dividing the processes into sub-groups
and elect one leader called the main process .
The main process then distributes the remaining processes into
g
roups and chooses one leader for each one.
Finally failure detector applied in the chosen leaders which send the
results to the central process.
The aim of the present investigation was to improve the dissolution properties of glimepiride. The oral antidiabetic drug, glimepiride ,was chosen as a model drug because of its low dose and poor solubility.
This study aims to compare between two globally approved strategies to manage diabetes type II in Syria, by comparing their effectiveness in patients with diabetes type II who are treated in the national program of diabetes Clinics in Damascus and in
vestigate their glucose control. The first strategy includes glibenclamide as a monotherapy and the second includes a combination of glibenclamide and metformin.
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