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Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
A STOCHASTIC MULTI OBJECTIVE MULTI CHOICE TRANSPORTATION PROBLEM
مشكلة النقل العشوائي متعدد الاختيار متعدد الاهداف
Subject
:
faculty of science
Document Language
:
Arabic
Abstract
:
This thesis presents the study of a multi-choice multi-objective stochastic transportation problem (MCMOSTP) when at least one of the objectives has multiple aspiration levels to achieve, and the parameters of supply and demand are random variables which are not pre-determined. The random variables shall be assumed to follow extreme value distribution and the demand and supply constraints will be converted from a probabilistic case to a deterministic one using a stochastic approach. A transformation method using binary variables reduces the MCMOSTP into a multi-objective transportation problem (MOTP), selecting one aspiration level for each objective from multiple levels. The reduced problem can then be solved with goal programming (GP). The novel adopted approach is significant because it enables the decision-maker (DM) to handle many objectives and complexities of real-world transportation problem in one model and find an optimal solution. Ultimately, a mixed integer mathematical model has been formulated, then utilizing GAMS software, the optimal solution of the proposed model is obtained. A numerical example is presented to demonstrate the solution in detail.
Supervisor
:
Prof. Ali El-Hefnawy El-Dessouky
Thesis Type
:
Master Thesis
Publishing Year
:
1441 AH
2020 AD
Co-Supervisor
:
Dr. Aisha Fouad Fayomi
Added Date
:
Thursday, February 27, 2020
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
هديل عبدالهادي القحطاني
Al-Qahtani, Hadeel Abdualhadi
Researcher
Master
Files
File Name
Type
Description
45981.pdf
pdf
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