البحث — المستودع الرقمي العراقي

نتائج البحث: 5 من أصل 55

الخوارزمية الجينية في السيطرة على الخزين الانتاجي المتعدد : بحث تطبيقي Genetic Algorithm For Controlling Multi - Production Inventory (Applied Research)

اسم المؤلف: الاء حكمة عبد الستار البياتي

اسم المشرف: عبد المنعم كاظم حمادي الشكري

الموضوع العام: الادارة والاقتصاد

السنة: 2016

الموضوع الدقيق: بحوث العمليات

الدرجة: ماجستير

الجامعة: جامعة بغداد

اللغة: العربية

مكان الجامعة: بغداد

الصفحات الاولى:

المستخلص: تضمن هذا البحث حل لمشكلة السيطرة على الخزين الانتاجي المتعدد اعتمادا على نماذج الخزين المحددة للمنشات الانتاجية في حالة وجود وعدم وجود عجز لبعض منتجات شركة مصافي الوسط الاكثر طلبا في اسواقنا المحلية، اذ تم اختيار سبع مواد للدراسة وهي (البنزين، النفط الا | This research dealt with solving the problem of control of inventories multi - productive based on determenestic inventeries models for production institutions with and without shortage for the most requested productions in our local markets for Midland Refineries Company, such that seven materials have been selected of the study, namely, (Benzene, White Oil, Jet Fuel, Gas Oil, Grease, Oxidized Asphalt and Liquid Gas).Firstly the traditional methods have been applied in extraction the optimal economic quantities and the total cost of the inventoies, for the purpose of improving the results, the genetic algorithm has been used on the results obtained from traditional methods, which is one of artificial intelligence algorithms that rely on the mechanism of random search and selection of the science of natural genetics. Roulette wheel selection has been used as a method to select a set of chromosomes and one crossover point to generate new society, and the mutation has been applied by change only one bit from any chromosome gas been selected randomlly to increase diversity in the new society and try to solve the optimization solution according to the value of the fitness function. The results of applying traditional methods in inventories models showed shortage cases in production relative to demand for materials (Benzene, White Oil, Jet Fuel, Gas Oil, Grease, Oxidized Asphalt and Liquid Gas) proportion rates ranging between (194.63% - 722.46%) and an increase in production up to 98% in Oxidized Asphalt material.The use of genetic algorithm led to reduce the shortage in production relative to demand for Benzene, White Oil, Jet Fuel, Gas Oil and Liquid Gas at proportion rates ranging between (21.64% - 75.92%). Also the results showed that the use of genetic algorithm contributed to cover the shortage in production as compared with the traditional methods at change rates (14.01% - 28.61%) for Benzene material, (13%) for Jet Fuel material and (23%) for Liquid Gas material. The results of genetic algorithm improved the results of the traditional methods for Benzene, White Oil, Jet Fuel, Gas Oil, Grease, Oxidized Asphalt and Liquid Gas materials at rates ranging between (12.98% - 42.66%). And finally the use of genetic algorithm reduced the total cost of the inventories of all the company's products at rate 26.15%.This thesis contained four chapters : the first chapter includes : introduction, the goal of the research, the research problem and refrence review. The second chapter includes : the theoretical side distributed over two sections first topic the basic concepts of the system of inventories; the second section includes an explanation of the style of a genetic algorithm and method of implementation. Third chapter includes : the practical side (display data that has been assessed from Midland Refineries Company distributed throughout the whole year, extract the optimal economic quantities by traditional methods and improve them by using the genetic algorithm, interpretation and analysis of the results obtained). Fourth Chapter includes : the most important conclusions of the researcher and her recommendations for future studies.

تقدير معولية الانظمة باستعمال مقدرات بيز اللامعلمية وشبه المعلمية مع تطبيق عملي System’s Reliability Using Nonparametric And Semi Parametric Bayesian Estimators With Practical Application

اسم المؤلف: اسيل محمود شاكر السهيل

اسم المشرف: قتيبة نبيل نايف القزاز

الموضوع العام: الادارة والاقتصاد

السنة: 2016

الموضوع الدقيق: الاحصاء

الدرجة: دكتوراه

الجامعة: جامعة بغداد

اللغة: العربية

مكان الجامعة: بغداد

الصفحات الاولى:

المستخلص: تعتبر المعولية اداة لتقييم الاداء الوظيفي لاي منتج خلال فترة حياته وتعتمد على ظروف عمل ووقت وبيئة محددة وهي من المستلزمات الاساسية في العملية الانتاجية، وتنبع الاهمية الكبيرة للمعولية كونها تلائم اغلب التطبيقات العملية والمتمثلة بالمعدات والاجهزة العا | The reliability as tool to estimate the work performance of any product during its life cycle, it depends on restricted conditions of work and the time and environment of work, also it considers as essential requirement in the production, the most significant important of reliability represented of being fit for the most of practical applications such as equipment and invalid devices which can fix and get maintenance in case it stopped of work then return it to work again. These devices and equipment consider as correlation between a group of parts or components to form what it is called “system” , there are any kinds of systems classified according to the way that components are connected such as k - out of - n which is ready to work if at least one of k components is working, and “Series system” which is ready to work if all of its components are working , also there is another kind of system its work just in case one of its components is working and this called “Parallel System”. Therefore , the aim of thesis focuses on estimating the reliability of systems (k - out of - n, series and parallel system ) by nonparametric and semi parametric methods using Dirichlet process prior and compare it with reliability of system values by classical methods which is represented by Kernel estimator method , Kaplan - meier estimator method and product limit estimator method to illustrate the quality using statistical indicator Integral Mean Square Error (IMSE) , in additional modified methods. So the simulation procedures to create using different sizes of samples , then applying the best method for Series system on the real data which collected in Al - Mamon factory which belong to general company for plant oil production - Aluminum department the results showed that the reliability function values start decreasing with increasing time in relation to the estimated nonparametric and semi parametric , this means that machines has many invalid because the more invalid in machines cusses to decreasing it reliability

طرائق تقدير دالة المخاطرة لتوزيع Quasi Lindely : بحث مقارن مع تطبيق عملي Comparison of Some Methods For Estimation of Hazard Function of Distribution Quasi Lindley With Application

اسم المؤلف: احمد علوان صالح

اسم المشرف: صباح هادي عبود الجاسم

الموضوع العام: الادارة والاقتصاد

السنة: 2016

الموضوع الدقيق: الاحصاء

الدرجة: ماجستير

الجامعة: جامعة بغداد

اللغة: العربية

مكان الجامعة: بغداد

الصفحات الاولى:

المستخلص: ان البحوث المتعلقة بامراض الاطفال ومنها امراض الدم تكتسب اهمية بالغة لما تسببه هذه الامراض من زيادة في نسب الوفيات بين الاطفال مما يؤثر سلبا في نمو المجتمعات لان هذه الامراض تستهدف قاعدتها الاساسية والمتمثلة بالطفولة. من المعلوم ان التوزيعات الاحتمالية | The researches on the diseases, including children and the blood diseases is of paramount importance to what caused these diseases from an increase in mortality rates among children, which negatively affects the growth of the communities, because these diseases targeted base of basic and childhood.It is known that the probability distributions is the statistical tool that deal with times of life for patients with diseases that cause of death, and that the issue of determining the statistical distribution of the most flexible in the good compatibility with the data on life times of of people affect the accuracy of the results and specifically estimates for both parameters or a Hazard function , which provides hospital and its staff of doctors, nurses, research centers , important evidence in the medical analysis of these diseases in order to develop methods of treatment and related drugs and medical devices to other medical supplies.In this research was study the of blood leukemia disease problem in the children what caused the disease in the increase in the number of deaths for children with this disease.In this research , review the distribution of properties (Quasi Lindely - QL - ) for the proper matching the practical side data and estimate a risk function using five methods to estimate Maximum Likelihood Method , method of moments, method of L - moment Method of Percentiles Estimators and Standard Bayes Method using Squared Error Loss Function and Logarithmic Loss Function and joint prior distribution noninformative prior using (Jeffrey's formula) also used the method of Lindley Approximation to solving integrals resulting from the use Bayes way to estimate the Hazard function for this distribution.In order to find the best methods of judgment for the purpose of use in the practical side in this research were employed style simulation way (Monte Carlo) and using the Mean squared error (MSE) and the Integral. Mean square Error (IMSE) in order to compare the efficiency of the estimators to function risk was reached through implementation of simulation experiments that Bayes estimator to a Hazard function of distribution (QL) using a logarithmic function loss is the most efficient for small and medium volumes of samples while Maximum Likelihood Method and Method of Percentiles Estimators are better for large samples and at the same efficiency.Finally, in the practical side was used a sample size of data (n = 42) of the children of the deceased because of the disease leukemia blood have been employed estimator Bayes using to estimate the Hazard function loss logarithmic function to these patients. The results showed that the Hazard function of death among children in Iraq function values because of this disease are higher values than necessary health institution looks at this phenomenon and develop sophisticated prevention and treatment and to provide various medical supplies to minimize the seriousness of this disease, which leads to the depletion of human and financial resources, which negatively affects the process of progress of society as well as scientific methods should health institutions raise community awareness of the reasons this the disease for the purpose of avoiding these reasons and by employing various media, particularly newsletters that you know the reasons of the disease and treatment modalities.

دراسة احصائية عن واقع البطالة بين محافظات العراق Statistical Paper “ Un Employment Reality Among Governorates In Iraq

اسم المؤلف: اثير محمد ناجي عزت

اسم المشرف: سجى محمد حسين الهاشمي

الموضوع العام: الادارة والاقتصاد

السنة: 2016

الموضوع الدقيق: الاحصاء التطبيقي

الدرجة: دبلوم عالي

الجامعة: جامعة بغداد

اللغة: العربية

مكان الجامعة: بغداد

الصفحات الاولى:

المستخلص: ان دراسة ظاهرة البطالة وتحليل اهم العوامل ذات الاثر الاكبر باتجاه سلوكها من الامور المهمة للعراق والذي يهدف الى التقليل من حدتها في المجتمع. ويعد مفهوم البطالة من المفاهيم التي اخذت اهمية كبرى في المجتمعات المعاصرة من حيث البحث والاستقصاء، لذا انصب ال | The study of unemployment phenomenon and analysis for the most important factors which has the most affected towards its conduct , is from the significant matters for Iraq that is aimed to reduce its solitude in society. The unemployment theory has taken a great importance at modern societies concerning research and examination , therefore we focus our importance mainly on unemployment by political decision makers. Perhaps the worse and highlighted features of economic crisis which is faced by each of Arabic and developed countries is aggravation of unemployment problem which is the extrusive increasing of members who have an ability and willing for work and researchers for work without finding it. Therefore the researcher chose making use of Iraqi Household of Social & Economical Survey data which performed during two years (2007, 2012) and by using the Package of SPSS v.20 in order to receive to social and economical variables which affects in prevalence of unemployment phenomenon and its classification among governorates. Based on factorial analyses manner in extraction the most important factors that affects in describing unemployment phenomenon conduct during matrix analyses for correlation among studying variables, it has chosen a group of variables for two years which explained the interaction method of these variables and the importance of each variable also making use of clustering analysis to classify it among governorates, and defining the convergence & divergence extent among governorates according to the studied variables and analyses clusterization stages for two years. The paper contains four chapters, chapter one : concludes introduction, objective, methodology, data source, referential review for collection of studies and researches concerned to the subject and analysis manner, chapter two : concludes the theoretical side that involves statistical analysis by using factorial and clustered analysis manner, chapter three contains the applicative side for research by applying the analyses for indicators which is concluded and knowing the important factors which has the great affection by defining the phenomenon conduct and the method of classification among governorates, chapter four contains conclusions we reached and sources and recommendations.The result of factorial analysis explains that the most exaggerate importance variables on unemployment is the hardness for getting a work and has appeared this affected for both two years 2007 &2012, its significance at governorates (Missan , Al Muthana , and Sulymania ) for 2012, (Missan , Al Muthana , and Erbil) for 2007, also the results explains clustered analysis that there is clusteralization of bordering and non bordering south governorates for studied variables for 2012, as well as north and middle governorates while at 2007 the clusteralization was for bordering & non bordering south governorates but not clusteralization for north governorate with south governorate, there was intimacy for Baghdad for these two years by regarding the clusteralization at the last stage with remainder of governorates as it regards the capital and the biggest governorate by it’ s population

بعض طرائق تقدير انموذج الانحدار اللوجستي المشروط في حالة البيانات الطولية وتطبيقها في التلوث البيئي

اسم المؤلف: يوسف خليل عيسى

اسم المشرف: انتصار عريبي فدعم الدوري

الموضوع العام: الادارة والاقتصاد

السنة: 2016

الموضوع الدقيق: الاحصاء

الدرجة: ماجستير

الجامعة: جامعة بغداد

اللغة: العربية

مكان الجامعة: بغداد

الصفحات الاولى:

المستخلص: غالبا ما يعتمد الانحدار اللوجستي الشرطي لدراسة العلاقة بين نتائج حدث ما وعوامل تشخيصية محددة من اجل تطبيق الانحدار اللوجستي والاستفادة من قدراته التنبؤية في الدراسات البيئية. اذ تهدف هذه الرسالة الى اثبات اسلوبا جديدا لتطبيق الانحدار اللوجستي الشرطي في البحوث البيئية من خلال طرائق الاستدلال المبنية على البيانات الطولية. وذلك لانه مع الاستجابات المتقطعة هناك تبعية لا تتجزا للتغير في المتوسط. وبذلك يتطلب التحليل الاحصائي للبيانات الطولية الاساليب التي يمكن ان تراعي بشكل سليم للترابط داخل الموضوعات لقياسات الاستجابة. اذا تم تجاهل هذا الارتباط فان استدلالات مثل الاختبارات الاحصائية وفترات الثقة يمكن ان تكون غير صالحة الى حد كبير. ولتقدير انموذج الانحدار اللوجستي الشرطي لغرض تحليل التلوث البيئي الناتج عن تصفية النفط في المصافي كدالة لانتاج النفط والعوامل البيئية تم استعمال طريقة معادلة التقدير المعممة (GEE) Generalized Estimating Equation في صياغة طرائق الاستدلال، التي من شانها تسهل تقدير انموذج الانحدار اللوجستي الشرطي بالاستفادة من الارتباطات الفعلية بين الاستجابات في البيانات، وكذلك بنية الارتباط المحددة من خلال مقدرات الشطيرة الحصينة (RSE) robust sandwich estimators ، فضلا عن تطبيق العديد من معايير اختيار الانموذج المختلفة. ثم تقييم اداء كلا من نماذج الانحدار اللوجستي الشرطية عندما تكون التاثيرات ثابتة ومختلطة مع تحليل بيانات التلوث وفق طريقة الامكان الاعظم Maximum Likelihood Estimator (MLE). اما في الجانب التطبيقي فقد تم الحصول على بيانات التلوث البيئي من شركة مصافي الوسط في العراق والتي تمثل مجموعة من الملوثات البيئية الطولية وهي الجسيمات العالقة (PM2.5) Particulate matter، وكبريتيد الهيدروجين (H2S) Hydrogen sulfide، واكاسيد النيتروجين (NOx) Nitrogen oxides، والامونيا (NH3) Ammonia، وغاز اول اوكسيد الكاربون (CO) Carbon monoxide، وثاني اوكسيد الكاربون (CO2) Carbon dioxide، والاوزون (O3) The Ozone، ومن خلال تطبيق كلا الطريقتين GEE وMLE لتقدير النماذج المختلطة والثابتة تم اثبات انه باستعمال انموذج الانحدار اللوجستي الشرطي هو اسلوب تقييم حصين للدراسات البيئية، فمن المهم ان نلاحظ انه في محاولة لاختبار مدى حصانة هذا الاسلوب، مع بيانات التلوث في مجموعة بيانات واحدة تستعمل في بناء او اكتشاف علاقة تنبؤية هي مستويات التلوث العالية المتمثلة في النظام البيئي C3)) تنتهك فرضية استقلالية البدائل غير ذات صلة (IIA) Independence of Irrelevant Alternatives ومن ثم قد لا ينطبق على افتراض الحالة الطبيعية. وبالنتيجة فان انموذج الانحدار اللوجستي الشرطي مختلط التاثيرات يكون اكثر دقة لدراسات التلوث، لانه من المحتمل ان تولد نماذج الانحدار اللوجستي الشرطية استنتاجات غير دقيقة مع التاثيرات الثابتة فقط. هذا لان انموذج الانحدار اللوجستي الشرطي مع كلا من التاثيرات الثابتة والعشوائية يقدم افكارا تفصيلية على المجموعات (العناقيد) التي تم تجاهلها الى حد كبير من قبل انموذج الانحدار اللوجستي الشرطي ثابت التاثيرات | Conditional logistic regression is often used to study the relationship between event outcomes and specific prognostic factors in order to application of logistic regression and utilizing its predictive capabilities into environmental studies. This thesis seeks to demonstrate a novel approach of implementing conditional logistic regression in environmental research through inference methods predicated on longitudinal data. Because with discrete responses there integral dependency for change in the mean. Thus, statistical analysis of longitudinal data requires methods that can properly take into account the interdependence within - subjects for the response measurements. If this correlation ignored then inferences such as statistical tests and confidence intervals can be invalid largely. For estimating the conditional regression model for the analysis of environmental pollution resulting from the oil filter in refineries as a function of oil production and environmental factors using the generalized estimating equation (GEE) method in the formulation of inference methods that facilitate the conditional logistic regression model taking advantage of the actual correlations between responses in the data, as well as the specific correlation structure through robust sandwich estimators (RSE) as well as application many of various model selection criteria. We then evaluate the performance of both fixed - effects and mixed - effects conditional logistic regression models with the pollution data analysis according to the maximum likelihood method (MLE). Either in the applied side has been getting the data of environmental pollution from Midland Refineries Company in Iraq are represents a group of environmental pollutants longitudinal is Particulate matter (PM2.5), Hydrogen sulfide (H2S), Nitrogen oxides (NOx), Ammonia( NH3), Carbon monoxide (CO), Carbon dioxide (CO2), The Ozone (O3) and by applying both the GEE and MLE methods to estimate a fixed and mixed models was prove that use the conditional logistic regression model is a robust evaluation method for environmental studies, it is important to note that in an effort to test the robustness of this method, with the pollution data in one set data used to construct or discover a predictive relationship is high pollution levels of the ecosystem (environmental system C3) violates the Independence of Irrelevant Alternatives (IIA) hypothesis and therefore the normality assumption may not apply. Therefore, the mixed - effects conditional logistic regression model is more accurate for pollution studies, because the conditional logistic regression models with fixed - effects only potentially generating flawed conclusions. This is because the conditional logistic regression model with random and fixed - effects provides detailed insights on groups (clusters) that were largely overlooked by fixed - effects conditional logistic regression model