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العنوان
Genetic Algorithm for Project Scheduling and Resource Allocation under Uncertainty /
المؤلف
Labib, Fady Safwat.
هيئة الاعداد
باحث / Fady Safwat Labib
مشرف / Nahed Sobhy Abdel Nour
مشرف / Mohamed Ahmed Awad
تاريخ النشر
2016.
عدد الصفحات
135 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة (متفرقات)
تاريخ الإجازة
1/1/2016
مكان الإجازة
جامعة عين شمس - كلية الهندسة - Design and Production Engineering
الفهرس
Only 14 pages are availabe for public view

from 135

from 135

Abstract

The objective of the present work is to construct a mathematical model to solve the problem of project scheduling and allocation of resources under uncertainty in duration and resource requirements of individual tasks. The model is composed of an objective function which maximizes the probability of success to complete the project in a given time window and a set of constraints that satisfy the precedence relationships and the resource constraints. The proposed model considers the non-availability of the total number of resources from the beginning of the project.
A Genetic Algorithm is developed to solve the proposed model, and a visual basic program under Excel was written to solve the Genetic Algorithm.
The proposed model was validated through two case studies of different sizes (number of activities). The proposed approach proved to be efficient in solving the problem and realizes better solution than other approaches found in the literature, especially the models based on non linear optimization.