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496
result(s) for
"بحوث العمليات"
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أهمية استخدام نماذج بحوث العمليات في اتخاذ القرار
إن مجال بحوث العمليات يتمثل في محاولة إيجاد النماذج الرياضية المعبرة عن المشكلة الفعلية، مع محاولة تطوير الأدوات الرياضية التي تمكن من حل هذه النماذج، وذلك بقصد الوصول إلى البديل الأمثل من بين البدائل المتاحة لحل المشكلة، ومن هنا جاءت فكرة دراستنا هذه والتي تتمحور أساسا في توضيح أهمية نموذجي برمجة الأهداف والبرمجة بالأعداد الصحيحة في اتخاذ القرار الإنتاجي، هذه النماذج تم تطبيقها على وحدة أغذية الأنعام بالمسيلة والمؤسسة الوطنية للسيارات الصناعية على التوالي، خلال الفترة الممتدة من 2016 إلى 2018.
Journal Article
Optimisation of PID controller for load frequency control in two-area power system using evolutionary particle swarm optimisation
The main objectives of load frequency control (LFC) are to regulate the electrical power supply in two-area power system and change the system frequency and tie-line load. The performance of LFC has to be tuned properly so that its performance can be optimised. However, most of the tuning processes are performed through trial and error until the best performance is achieved. Therefore, to overcome this situation, in this work, particle swarm optimization (PSO) and evolutionary particle swarm optimization (EPSO) algorithms were employed in a LFC of twoarea power system to optimise the performance of the PID controller. The purpose of using PID controller is to improve the performance of the LFC. Comparison of the performance using PSO and EPSO was made to identify which algorithm is better in controlling the performance of the LFC. It was found that using EPSO, the performance of the LFC is better in terms of settling time and rise time than using PSO. Hence, by implementing an optimisation method, the performance of the LFC can be optimised through optimising the PID controller parameters.
Journal Article
Integrating Decision Support and Social Networks
We elaborate on the shifting of decision support systems towards social networking, which is based on the concepts of Web 2.0 and Semantic Web technology. As the characteristics of the relevant components are different from traditional decision support systems, we present necessary adaptations when adopting social networks for decision support within an organization. We also present organizational obstacles when adopting/using such systems and clues to overcome them.
Journal Article