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Material Requirements Planning for the Electric Motor in Fuzzy Environment for State Company for Electric Industries
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This research aims at examining the expected gap between the fact of planning and controlling process of production at the State Company for Electric Industries and implementation of material requirements planning system in fuzzy environment. Developing solutions to bridge the gap is required to provide specific mechanisms subject to the logic of fuzzy rules that will keep pace with demand for increased accuracy and reduced waiting times depending on demand forecast, investment in inventory to reduce costs to a minimum.

The proposed solutions for overcoming the research problem has required some  questions reflecting the problem with its multiple dimensions, which are in essence the possibility of employing fuzzy sets theory to remove high levels of uncertainty in demand, lead times , and  in the total cost of the electric motor for air coolers (consisting of fifty-six part) during the time period between (2/1/2014) and (15/1/2015), and to increase the effectiveness of material requirements planning system for achieving its goals more efficiently.

In order to answer the research questions, fuzzy time  series technique has used for estimating demand and its expected change rates.IF-THEN rules has also been used with their linguistic variables and experts opinions at the company studied after being converted to probability matrices reflecting the variation of lead times owing to demand levels fluctuations and its indicator. Furthermore, IF-THEN rules has also been used for estimating fuzzy inventory costs.

The required mathematical and quantitative analyses of research data have conducted using a number of statistical packages (Win Qsb, SPSS, Matlab).

The final results confirmed the applicability of fuzzy sets theory to reduce the effects of environmental variability facing the company studied in areas of demand, lead times and inventory costs . Moreover, it has reached to a result indicating the possibility of using  modern techniques in controlling demand and inventory fluctuations via material requirements planning system in fuzzy environment that provide a proposed solutions to the research problem and specific answers on the research questions, Research recommendations have raised the necessity of remove the vagueness and uncertainty accompanying the Iraqi production environment by employing fuzzy sets theory applications for ensuring the effective application of material requirements planning system within fuzzy environment.

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Publication Date
Sat Jan 01 2022
Journal Name
Aip Conference Proceedings
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The Ge0.4Te0.6 alloy has been prepared. Thin films of Ge0.4Te0.6 has been prepared via a thermal evaporation method with 4000A thickness, and rate of deposition (4.2) A/sec at pressure 2x10-6 Torr. The A.C electrical conductivity of a-Ge0.4Te0.6 thin films has been studied as a function of frequency for annealing temperature within the range (423-623) K, the deduced exponent s values, was found to decrease with increasing of annealing temperature through the frequency of the range (102-106) Hz. It was found that, the correlated barrier hopping (CBH) is the dominant conduction mechanism. Values of dielectric constant ε1 and dielectric loss ε2 were found to decrease with frequency and increase with temperature. The activation energies have

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Publication Date
Tue Feb 28 2023
Journal Name
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Modeling the trend of Iraqi GDP for 1970-2020
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The study of economic growth indicators is of fundamental importance in estimating the effectiveness of economic development plans, as well as the great role it plays in determining appropriate economic policies in order to optimally use the factors that lead to the dynamics of growth in Iraq, especially during a certain period of time. The gross domestic product (GDP) at current prices), which is considered a part of the national accounts, which is considered as an integrated dynamic of statistics that produces in front of policy makers the possibility of determining whether the economy is witnessing a state of expansion or evaluating economic activity and its efficiency in order to reach the size of the overall economy. The research aims

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Variable selection in Poisson regression with high dimensional data has been widely used in recent years. we proposed in this paper using a penalty function that depends on a function named a penalty. An Atan estimator was compared with Lasso and adaptive lasso. A simulation and application show that an Atan estimator has the advantage in the estimation of coefficient and variables selection.

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Abstract 20 patients with osteoarthritis of the knee joint were treated by electrical stimulation in the form of 6 sessions every other day each sessions of diphase fixe (DF) for 4 minutes followed by rest for 4 minutes then treated with a monophase fixe (MF) for 2 minutes. By clinical & statistical analysis ( P value < 0.05) we conclude that the electrical stimulation is effective as one method in the treatment of osteoarthritis.

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