مشاريع طلاب خريف 2020_F20
تخفيض العيوب في منتج البطاطا المفرزة باستخدام منهجية ستة سيجما دراسة حالة (شركة كرامة للصناعات الغذائية)
Reducing the defects of French fries product using six sigma methodology A case study (Karameh Food Industry)
This study aimed to show the role of Six Sigma in reducing the percentage of defects, and to achieve the objectives of the study, the researcher applied the Six Sigma methodology to the production process in Karameh Food Industries Company - the frozen potato industry (French Fries). To achieve this, the researcher extracted the Critical To Quality (CTQ) based on the Voice of Customers (VOC) and then used it as a criterion for measuring deviations. The researcher studied the production for ten consecutive days and determined the quantity of defects and their proportions, and then determined the problems causing these defects and their effects, after that put corrective measures and applied them, and determined the difference between the proportion of defects before and after improvement through the study of production for ten days after the introduction of Improvements, monitoring them and developing a plan for control. The researcher used the (Minitab) as a statistical software to analyze data, draw charts, and control maps.
إعداد الطالب باسل رفعات خليل
المشرف د. محمد فارس أبو سيف
تقييم جودة خارطة رقمية لمدينة اللاذقية
Evaluate the quality of a digital map of Latakia
إعداد الطالب: حيدر عساف
إشراف: أ. د. م. تميم عليا
This study included evaluating the quality of a digital map of roads in the city of Latakia based on the standards that were determined by the International Organization for Standardization ISO19157, which is concerned with evaluating the quality of spatial data, and it was found that the road map of the city of Latakia was evaluated with poor quality in terms of spatial accuracy in the event It has been approved for works that require high spatial accuracy such as design or planning works and of acceptable quality if it is approved for works that do not require high spatial accuracy such as work related to the environment and tourism, in addition to a weakness in the accuracy of the quantitative attribute for the database of this map and its failure depending on the classification in force in The American Standard for Roads (AASHTO) when building a metadata base related to the map.
دور استخدام خوارزميات الذكاء الصنعي في عمليات ضبط الجودة دراسة حالة-مصنع الميسور للصناعات البلاستيكية-سورية-ريف دمشق
The Role Of Artificial Intelligence Algorithms To Quality Control Case Study-Maysour Plast Industries-Syria- Reef Damascus بحث مقدم لنيل درجة الماجستير في إدراة الجودة MIQ
The results of the research are as follows:
- The application of Semi-Supervised Learning Algorithms (SSL), Recurrent Neural Network (RNN) and Classification Models contribute to predicte the quality of the production process before it occurs, which in turn prevents the defective products and improves the yield in the continuous production processes.
- The study was characterized by using Algorithms to predict the quality of continuous production processes in the case of the presence of classified and sorted data, which led to an improvement in the return by 8.7% whereas in the case of unclassified and low volume data that could lead to lower yield.
- However, the proposed method using Semi-Supervised Learning SSL, Time-Series Analysis and Recurrent Neural Network (RNN) showed better performance than known quality methods.
إعداد الطالبة: لمى عدنان عوكل
إشراف الدكتور حسين قبلان
دراسة أهم مؤشرات الأداء المؤثرة على جودة المشاريع الإنشائية
Study the most important performance indicators affecting the quality of construction projects
إعداد الطالب : ياسر سعدي كاملة
إشراف : الأستاذ الدكتور عبيدة السهلي