|
Showing 1 - 3 of
3 matches in All Departments
This volume reflects the theme of the INFORMS 2004 Meeting in
Denver: Back to OR Roots. Emerging as a quantitative approach to
problem-solving in World War II, our founders were physicists,
mathematicians, and engineers who quickly found peace-time uses. It
is fair to say that Operations Research (OR) was born in the same
incubator as computer science, and it has spawned many new
disciplines, such as systems engineering, health care management,
and transportation science. Although people from many disciplines
routinely use OR methods, many scientific researchers, engineers,
and others do not understand basic OR tools and how they can help
them. Disciplines ranging from finance to bioengineering are the
beneficiaries of what we do - we take an interdisciplinary approach
to problem-solving. Our strengths are modeling, analysis, and
algorithm design. We provide a quanti- tive foundation for a broad
spectrum of problems, from economics to medicine, from
environmental control to sports, from e-commerce to computational -
ometry. We are both producers and consumers because the mainstream
of OR is in the interfaces. As part of this effort to recognize and
extend OR roots in future probl- solving, we organized a set of
tutorials designed for people who heard of the topic and want to
decide whether to learn it. The 90 minutes was spent addre- ing the
questions: What is this about, in a nutshell? Why is it important?
Where can I learn more? In total, we had 14 tutorials, and eight of
them are published here.
It is quite an onerous task to edit the proceedings of a two week
long institute with learned contributors from many parts of the
world. All the same, the editorial team has found the process of
refereeing and reviewing the contributions worthwhile and
completing the volume has proven to be a satisfying task. In
setting up the institute we had considered models and methods taken
from a number of different disciplines. As a result the whole
institute - preparing for it, attending it and editing the
proceedings - proved to be an intense learning experience for us.
Here I speak on behalf of the committee and the editorial team. By
the time the institute took place, the papers were delivered and
the delegates exchanged their views, the structure of the topics
covered and their relative positioning appeared in a different
light. In editing the volume I felt compelled to introduce a new
structure in grouping the papers. The contents of this volume are
organised in eight main sections set out below: 1 . Abstracts. 2.
Review Paper. 3. Models with Multiple Criteria and Single or
Multiple Decision Makers. 4. Use of Optimisation Models as Decision
Support Tools. 5. Role of Information Systems in Decision Making:
Database and Model Management Issues. 6. Methods of Artificial
Intelligence in Decision Making: Intelligent Knowledge Based
Systems. 7. Representation of Uncertainty in Mathematical Models
and Knowledge Based Systems. 8. Mathematical Basis for Constructing
Models and Model Validation.
This volume reflects the theme of the INFORMS 2004 Meeting in
Denver: Back to OR Roots. Emerging as a quantitative approach to
problem-solving in World War II, our founders were physicists,
mathematicians, and engineers who quickly found peace-time uses. It
is fair to say that Operations Research (OR) was born in the same
incubator as computer science, and it has spawned many new
disciplines, such as systems engineering, health care management,
and transportation science. Although people from many disciplines
routinely use OR methods, many scientific researchers, engineers,
and others do not understand basic OR tools and how they can help
them. Disciplines ranging from finance to bioengineering are the
beneficiaries of what we do - we take an interdisciplinary approach
to problem-solving. Our strengths are modeling, analysis, and
algorithm design. We provide a quanti- tive foundation for a broad
spectrum of problems, from economics to medicine, from
environmental control to sports, from e-commerce to computational -
ometry. We are both producers and consumers because the mainstream
of OR is in the interfaces. As part of this effort to recognize and
extend OR roots in future probl- solving, we organized a set of
tutorials designed for people who heard of the topic and want to
decide whether to learn it. The 90 minutes was spent addre- ing the
questions: What is this about, in a nutshell? Why is it important?
Where can I learn more? In total, we had 14 tutorials, and eight of
them are published here.
|
|