Abdullah Alsheddy

BSc, MSc, PhD

  • Increase font size
  • Default font size
  • Decrease font size

My PhD Thesis

E-mail Print PDF

On Thursday 11th of August 2011, I have passed my PhD viva. The title of the thesis is "Empowerment Scheduling: A Multi-objective Optimization Approach Using Guided Local Search". (download a copy from here!)

My two External Examiners, Professor Xin Yao of Birmingham and Dr Ian Miguel of St Andrews, conducted a robust examination, overseen by Independent Chair, Professor John Gillies.

My research focuses on field workforce scheduling, which involves scheduling staff to multiple jobs in different geographical locations. A good example is British Telecommunication’s daily scheduling of its 10,000+ technicians to serve its customers. I have worked on a management concept called “employee empowerment”. The idea is to allow employees some say in scheduling decisions. The aim is to improve morale, which hopefully will be translated into enhanced efficiency – win-win for both employer and employees.

I have advanced the field of employee empowerment by providing a rigorous formulation of the problem. Before this work, researchers gave examples to empowerment but no formal frameworks have been proposed to characterise empowerment. I have provided a model that enables quantitative assessment of costs and effects.

To tackle the scheduling problem under empowerment, I have extended the well-known single-objective Guided Local Search to multi-objective optimization. The extension is nontrivial in its own right. Its performance is comparable to state-of-the-art multi-objective methods on two of the most used multiobjective benchmark problems: “travelling salesman” and “knapsack” problems.


Last Updated on Wednesday, 16 November 2011 12:07 Read more...
 

Welcome to Abdullah Alsheddy's home page ..

E-mail Print PDF

Thank you for coming across this web site .. It's my personal web page ..

You will find here all information about me and my research ..

At present, I'm working toward my PhD in Computer Science at the University of Essex.

My research focuses on Computational Intelligence, particularly Optimization techniques, and resource optimization/scheduling.

I'm a member of the Constraint Programming and Optimization Laboratory.


Abdullah

Last Updated on Monday, 20 June 2011 16:40
 

GPLS-Overview

E-mail Print PDF
Guided Pareto Local Search (GPLS) is an extension
to Guided Local Search algorithm for multiobjective
combinatorial optimization.

Guided Pareto Local Search (GPLS) is an extension to Guided Local Search algorithm for multiobjectivecombinatorial optimization.


GPLS shows the ability of the well-known Guided Local Search (GLS)  to sit on top of other Pareto local search,  to help PLS to escape Pareto local optimal set, and to enhance its convergence toward and spread over the true Pareto front.

Last Updated on Monday, 20 June 2011 16:50 Read more...
 

Publication List

E-mail Print PDF

Book Chapters:

Voudouris, C., Tsang, E., Alsheddy, A., Guided Local Search, Handbook of Metaheuristics (2nd Edition), eds. Gendreau, M. and Potvin, J.-Y., Springer, 2010. NEW

Last Updated on Monday, 20 June 2011 16:49 Read more...
 

EMS-Overview

E-mail Print PDF
The importance of workforce scheduling as a decision support system mo-
tivates the creation of new and ecient models and methods. Organizations are be-
coming increasingly aware of the importance of empowering employees by involving
them in decision making. However, the incorporation of empowerment concept in con-
ventional models of workforce scheduling has been scarcely investigated. The great
bene ts promised by empowerment management concept motivated us to investigate
workforce scheduling techniques that take employees' interests into consideration. In
this paper, the empowerment from a management perspective is discussed, and hence
the constitutions of empowerment in workforce scheduling, and an ecient empower-
ment scheduling model are de ned. Furthermore, a new empowerment scheduling model
that applies a constraint satisfaction approach in order to incorporate the empower-
ment management strategy is proposed. The new model provides employees with an
explicit empowerment practice through which they can plan their own speci c schedule.
Simplicity,
exibility, transparency and fairness are main features of the new model.
The model has been applied to solve a workforce scheduling problem which involves
scheduling a multi-skilled workforce to geographically dispersed tasks. Numerical re-
sults are given to illustrate the e ectiveness and usefulness of the model.

Overview:

In this project, a new empowerment scheduling model that applies a constraint satisfaction approach in order to incorporate the empowerment management strategy is proposed.

Last Updated on Monday, 20 June 2011 16:49 Read more...