Optimization of multi-resource allocation in large-scale project management
مقدم أطروحة جامعية
مشرف أطروحة جامعية
الجامعة
جامعة الإسراء
الكلية
كلية الهندسة
دولة الجامعة
الأردن
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2015
الملخص الإنجليزي
Project can be classified to small, medium, large and very large.
This could be mainly based on number of activities, the budget of the project or the completion time.
The criterion of scaling could be change from country to another.
In this project, it is assumed that as the number of activities increase, the scale is increased.
This thesis develops an algorithm to generate a unique Activity On Arrow (AOA) network with a minimum number of dummy activities.
It also develops an algorithm to deal with multi resources, by generating a new resource, which is in relation to all considered resources by a defined expression.
A Genetic Algorithm is used in order to perform resource leveling and allocation in the large-scale project.
The developed algorithm is based on shifting the noncritical activities within their total float to reduce the undesired fluctuation.
IV Four indices are considered to determine the optimum scheduling process.
A mathematical model is developed to consider these indices by creating a weight for each one; a simulation is applied in developed MATLAB program to reach to the best weights that achieve the optimum scheduling.
The efficiency of the proposed algorithm is measured by the resource improvement coefficient.
As a case-study, an expansion took place of the Irbid Specialized Hospital project, in Irbid-Jordan, is used to explore the application of the proposed algorithm.
For this real case, the proposed algorithm gives almost normal distribution shape of the activity leveling, which validates the algorithm applicability.
التخصصات الرئيسية
إدارة الأعمال
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
عدد الصفحات
130
قائمة المحتويات
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Scheduling process based genetic algorithm.
Chapter Four : Results and analysis.
Chapter Five : Conclusions and future works.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Qnahrah, Amir Muhammad. (2015). Optimization of multi-resource allocation in large-scale project management. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-596808
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Qnahrah, Amir Muhammad. Optimization of multi-resource allocation in large-scale project management. (Master's theses Theses and Dissertations Master). Isra University. (2015).
https://search.emarefa.net/detail/BIM-596808
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Qnahrah, Amir Muhammad. (2015). Optimization of multi-resource allocation in large-scale project management. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-596808
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-596808
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر