In November 2002 I was awarded the degree of
of Philosophy (Ph.D.) in Management Science
by Lancaster University .
My research was focused on:
- component-based simulation, and
- web-based simulation.
My research was sponsored by the Basque
Government, under a grant from the 'Programa de Formación
de Investigadores del Departamento de Educación, Universidades
You can get a copy of my thesis following this link.
Simulation models are becoming increasingly complex, large and more difficult to deal with. Existing simulation software does not seem to cope well with these models. This thesis argues that future simulation software should have the features of modularity, reuse, hierarchical structuring, scaling, portability, interoperability, distributed execution, capability to execute over the Internet and/or the web and ease of use of VIMS graphical environments. In component-based software engineering (CBSE) applications are assembled from components that are self-contained, relatively context-independent pieces of software. The main motivations of this technology are to achieve extensive reuse (to reduce the development time of the systems and to increase their quality), and to make systems more extensible and evolvable. The objective of this thesis is to demonstrate that it is possible and useful to apply component technologies to simulation approaches and support the previous features. Existing component-based simulation approaches are studied to learn from their strong and weak points. This thesis then introduces the COSIMA component-based simulation architecture, which was developed to provide an approach that is not over complicated but is still flexible and useful. Also, the WBSS graphical, web-based environment based on COSIMA is presented, which was developed to provide an easy to use environment for the assembly of components without programming. The use of COSIMA is demonstrated using a model of ground operations at Gatwick airport, which shows some of the potential benefits of a component-based approach.
||Management science (MS), is an interdisciplinary branch of applied mathematics, engineering and sciences that uses various scientific research-based principles, strategies, and analytical methods including mathematical modeling, statistics and algorithms to improve an organization's ability to enact rational and meaningful management decisions. The discipline is typically concerned with maximizing profit, assembly line performance, crop yield, bandwidth, etc or minimizing expenses, loss, risk, etc.
||Operations research (also referred to as decision science, or management science) is an interdisciplinary mathematical science that focuses on the effective use of technology by organizations. In contrast, many other science and engineering disciplines focus on technology giving secondary considerations to its use.
Employing techniques from other mathematical sciences, such as mathematical modeling, statistical analysis, and mathematical optimization, operations research arrives at optimal or near-optimal solutions to complex decision-making problems.