[AISWorld] Int. J. of Operations Research and Information Systems: TOC & CFP

John Wang j.john.wang at gmail.com
Thu May 20 08:28:18 EDT 2010


*The contents of the latest issue of:*
Int. J. of Operations Research and Information Systems (IJORIS)

Official Publication of the Information Resources Management Association

Volume 1, Issue 2, April-June 2010

Published: Quarterly in Print and Electronically

ISSN: 1947-9328; EISSN: 1947-9336

Published by IGI Publishing, Hershey-New York, USA

www.igi-global.com/ijoris



*PAPER ONE*



Security Constrained Economic Dispatch: A Markov Decision Process Approach
with Embedded Stochastic Programming



Lizhi Wang, Iowa State University, USA
Nan Kong, Purdue University, USA



The main objective of electric power dispatch is to provide electricity to
the customers at low cost and high reliability. Transmission line failures
constitute a great threat to the electric power system security. We use a
Markov decision process (MDP) approach to model the sequential dispatch
decision making process where demand level and transmission line
availability change from hour to hour. The action space is defined by the
electricity network constraints. Risk of the power system is the loss of
transmission lines, which could cause involuntary load shedding or cascading
failures. The objective of the model is to minimize the expected long-term
discounted cost (including generation, load shedding, and cascading failure
costs). Policy iteration can be used to solve this model. At the policy
improvement step, a stochastic mixed integer linear program is solved to
obtain the optimal action. We use a PJM network example to demonstrate the
effectiveness of our approach.



To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/Bookstore/Article.aspx?TitleId=43013



*PAPER TWO*

* *

Optimizing Cash Management for Large Scale Bank Operations



Mark Frost, Fiserv, USA
Jeff Kennington, Southern Methodist University, USA
Anusha Madhavan, Southern Methodist University, USA



The Federal Reserve System (Fed) provides currency services to banks,
including sorting currency into fit and non-fit bills and repackaging bills
for redistribution. To reduce the cost of currency management operations,
many banks make Fed deposits and withdrawals of the same denomination each
week. In July 2007, the Fed introduced fees for making both deposits and
withdrawals during a given Monday through Friday. Recognizing an
opportunity, Fiserv Corporation initiated a project to optimize bank vault
inventories across time and space. This article presents the integer
programming model developed to assist Fiserv clients reduce the logistics
cost component of cash management. The model is implemented in software
using OPL. The underlying configuration is a time-space multi-commodity
network with a fixed-charge cost structure. The authors report on a
successful pilot study and present an efficient heuristic procedure that can
be used to reduce computational solution times from hours to a few minutes.



To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/Bookstore/Article.aspx?TitleId=43014



*PAPER THREE*



Analysis of State Dependent Vacation Queues with Threshold Gated Service
Policy



Yew Sing, University of Illinois at Chicago, USA



In this article, the authors introduce a simple approach for modeling and
analyzing a queue where the server may take repeated vacations. When a busy
period ends, the server takes a vacation of random duration. At the end of
each vacation, the server may either start a new vacation or resume service.
If a queue is found of less than customers, the server will always take a
new vacation. If there are at least customers in queue, the server provides
services to those customers after a brief set-up time. The authors obtain
several performance measures of the system, including the mean and second
moment of the cycle time, the number of customers in a cycle of service, and
the expected delay experienced by a customer.



To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/Bookstore/Article.aspx?TitleId=43015



*PAPER FOUR*

* *

Performance of Two-Component Systems with Imperfect Repair



Mohammed Hajeeh, Kuwait Institute for Scientific Research, Kuwait



Operational systems deteriorate over time and eventually fail by the failure
of one or more of their components. Failed components are either replaced or
repaired, and replacement is usually expensive. This article examines the
behavior of repairable systems with imperfect repair, where a failed
component is repaired once or more depending on factors such as repair cost,
level of deterioration, and criticality of the component. When these systems
are subjected to a customer use environment, their performance must endure
different conditions. In imperfect repair, the performance of the system
lessens after each failure. Three models of a two-component system studied
are the series, parallel, and standby configurations, and the components are
identical and independent. A closed form analytical expression for steady
state operational probability is derived for different configurations under
exponential distribution time to failure and repair time. Two examples are
then discussed thoroughly.



To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/Bookstore/Article.aspx?TitleId=43016



*PAPER FIVE*

* *

Automatic Partitioning of Large Scale Simulation in Grid Computing for Run
Time Reduction



Nurcin Celik, The University of Arizona, USA
Esfandyar Mazhari, The University of Arizona, USA
John Canby, Schlumberger, Indonesia
Omid Kazemi, The University of Arizona, USA
Parag Sarfare, NetApp Inc., USA
Majed Al-Otaibi, The University of Arizona, USA
Young-Jun Son, The University of Arizona, USA



Simulating large-scale systems usually entails exhaustive computational
powers and lengthy execution times. The goal of this research is to reduce
execution time of large-scale simulations without sacrificing their accuracy
by partitioning a monolithic model into multiple pieces automatically and
executing them in a distributed computing environment. While this
partitioning allows us to distribute required computational power to
multiple computers, it creates a new challenge of synchronizing the
partitioned models. In this article, a partitioning methodology based on a
modified Prim’s algorithm is proposed to minimize the overall simulation
execution time considering 1) internal computation in each of the
partitioned models and 2) time synchronization between them. In addition,
the authors seek to find the most advantageous number of partitioned models
from the monolithic model by evaluating the tradeoff between reduced
computations vs. increased time synchronization requirements. In this
article, epoch- based synchronization is employed to synchronize logical
times of the partitioned simulations, where an appropriate time interval is
determined based on the off-line simulation analyses. A computational grid
framework is employed for execution of the simulations partitioned by the
proposed methodology. The experimental results reveal that the proposed
approach reduces simulation execution time significantly while maintaining
the accuracy as compared with the monolithic simulation execution approach.*
*



To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/Bookstore/Article.aspx?TitleId=43017



*****************************************************

For full copies of the above articles, check for this issue of *International
Journal of Operations Research and Information Systems (IJORIS)* in your
institution's library.  This journal is also included in the IGI Global
aggregated "*InfoSci-Journals*" database:
www.infosci-journals.com<https://mail.google.com/mail/html/compose/static_files/www.infosci-journals.com>
.

*****************************************************



*CALL FOR PAPERS*



Mission of IJORIS:



The *International Journal of Operations Research and Information Systems
(IJORIS)* aims to present new and innovative contributions in Operations
Research (OR) theories, applications, and case studies, from a wide spectrum
of academics and practitioners. IJORIS spans the traditional functional
areas of business, including management information systems,
production/operations management, business processes, quantitative
economics, accounting, finance, marketing, business administration, and
international business. IJORIS also incorporates applications from the
related natural and social sciences, including the decision sciences,
management science, statistics, psychology, sociology, political science,
and other behavioral sciences. IJORIS will also encourage exchange,
cooperation, and collaboration among business, industry, and government.



IJORIS encompasses and bridges the following seven channels through
theories, applications, and case studies:



·         The channel between research, practice, and policy

·         The channel of algorithms, computation and solutions

·         The channel of business functional areas

·         The channel of business, commerce, industry and government

·         The channel of quantitative and qualitative decision models

·         The channel of theory and applications

·         The channel spanning frameworks to tool-kits



Coverage of IJORIS:



Topics to be discussed in this journal include (but are not limited to) the
following:



·         Computational intelligence

·         Computing and information technologies

·         Continuous and discrete optimization

·         Decision analysis and decision support

·         Education

·         Engineering management

·         Environment, energy and natural resources

·         Financial engineering

·         Government

·         Heuristics

·         Industrial engineering

·         Information management

·         Information technology

·         Inventory management

·         Knowledge management

·         Logistics and supply chain management

·         Maintenance

·         Manufacturing industries

·         Marketing engineering

·         Markov chains

·         Mathematics

·         Military and homeland security

·         Networks

·         Operations management

·         Organizational behavior

·         Planning and scheduling

·         Policy modeling and public sector

·         Political science

·         Production management

·         Psychology

·         Queuing theory

·         Revenue & risk management

·         Services management

·         Simulation

·         Sociology

·         Sports

·         Statistics

·         Stochastic models

·         Strategic management

·         Systems engineering

·         Telecommunications

·         Transportation



Interested authors should consult the journal's manuscript submission
guidelines at www.igi-global.com/ijoris.



All inquiries and submissions should be sent to:

Editor-in-Chief: Dr. John Wang at j.john.wang at gmail.com
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