Production scheduling in petroleum refineries

Dissertant

Zhqiar, Faysal Ghazi

Thesis advisor

Hasan, Ala al-Din
Dawud, Lamya Muhammad

University

University of Technology

Faculty

-

Department

Department of Production Engineering and Metallurgy

University Country

Iraq

Degree

Master

Degree Date

2011

English Abstract

-Product blending is an important optimization task that is encountered in operation and scheduling of important industrial plants like the petroleum refineries.

The key objective of blending is to mix various intermediate products to achieve desired properties and quantities of products with minimum cost.

At the planning level, the effects of changeovers and daily inventories are neglected, and according to the uncertainty in the input parameters, the determined solution at the planning level will be optimistic estimates that cannot be realized.

At the scheduling level the schedule may be infeasible or even if it was feasible schedule, increasing the production cost may occur according to quantity and quality giveaway of the blended product, consequently, the optimality of the planning solution cannot be ensured The proposed approach is introduced for integrating short term planning and scheduling for product blending.

Two mathematical models have been proposed.

The first model deals with planning issue for product blending and the results are regarded as production guidelines.

In the second scheduling model, scheduling will treat the production guidelines to verify optimum allocation for available resources.

The approach was applied to different real time case studies from Midland Refineries Company, and the results show the efficiency and flexibility of this approach to solve the different case studies.

In the first case study the proposed approach show the ability to maximize throughput and minimize surplus components.

While in the second minimize production time from 72 to less than 24 hr according to reduction in re-blend process, in addition to verify multi objectives, in the other hand show the flexibility and high responsibility for rescheduling under uncertainty.

The last case study which is a complicated one, were WIN QSB version 1.00 software is utilized.

The results gained after 0.031 second CPU time for planning level and 3.375 second CPU time for scheduling level by using simplex as solving method.

This is considered as an advantage to the model.

Main Subjects

Materials Science , Minerals

Topics

• Management
• Petroleum refineries

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-305178