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| New Jersey Chapter |
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- Date:
- Thursday February 23, 2012
- Location:
- Room 169, RUTCOR Building
- Busch Campus, Rutgers University
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- Agenda:
- 6:00-6:30 Mixer
- 6:30-7:30 Dinner
- 7:30-7:40 Chapter Business Meeting
- 7:40-9:00 Presentation
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Chapter Business meeting:
To discuss future chapter activities. An election of officers will be held prior to the presentation.
Anyone interested in serving as an officer or helping with chapter activities should contact one of
the following people:
Robert Rose
David Hunt
Karen Balasaygun
Keh-Wei Lih
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Case Study Based Evaluation of a Stochastic Multi-Commodity Emergency Inventory Management Model
Eren Erman Ozguven
Research Assistant
Rutgers University Intelligent Transportation Systems (RITS) Lab
Eren Erman Ozguven
is currently a Ph.D. candidate at Rutgers University, Department of Civil and Environmental
Engineering with concentration in Emergency Planning and Humanitarian Logistics, working
under the supervision of Dr. Kaan Ozbay and the committee members Robert Noland, Hani
Nassif and Eric Gonzales. He defended his dissertation on November 29th, 2011 and completed
his Ph.D. requirements on January, 2012. He received his M.S. degree in Industrial
Engineering on port planning and management from Bogazici University in Turkey in 2006.
His research interests are focused on inventory management and control during emergency
relief operations, modeling of emergency evacuation operations, simulation and modeling of
transportation networks, transportation demand modeling, intelligent transportation systems,
port operations and management, and stochastic traffic assignment and optimization.
Eren Erman Ozguven has authored 5 journal papers, 13 international conference proceedings,
and 2 technical reports. He has been a referee for Transportation Research Part A,
Transportation Research Part C, Transportation Research Record and IEEE Conference on
Intelligent Transportation Systems.
Abstract
Over the last three decades, disasters worldwide claimed more than 3 million lives and
adversely affected lives of at least 1 billion people. Emergency disaster management has
emerged as a vital tool to reduce the harm and alleviate the suffering these disasters
cause to its victims. A significant task of planners involved in the emergency disaster
management is the ability to plan for and satisfy the vital needs of the people located
in the emergency shelters, such as the Superdome shelter at New Orleans. This task
requires finding a way to reduce the uncertainties associated with the emergency
operations, and to estimate the possible expected costs of delivery and consumption of
vital supplies throughout these operations. This paper attempts to address these issues
by applying a case study based approach to demonstrate the usefulness of using a
multi-commodity stochastic humanitarian inventory control model while estimating the
minimum safety stock levels of the emergency inventories. First, emergency inventory
management problem is briefly discussed and previous emergency inventory studies are
reviewed to identify the need for a stochastic multi-commodity emergency inventory
management model. After introducing the mathematical formulation for the model, it is
applied to a number of realistic case studies built based on the experiences in recent
major disasters, such as Katrina. The paper is concluded by a summary of lessons learned
for the model when applied on a wide range of scenarios drawn from real-life experiences,
and used to create emergency inventory management strategies for different types of
disasters.
Mixer and dinner (alter among pizza, Chinese, ... from meeting to meeting)
cost is $10.00 ($3.00 for students) to be paid at the door. Note also
that 2012 chapter dues of $10 for INFORMS National Member or $11 for
Non-member may be paid at the door. Student or retiree dues: $3.00.
Attendance at the lecture will be for NJ and NY Metro INFORMS members
only. NJ Chapter membership forms will be available at the door.
Further information can be obtained by contacting Sylvia Halasz at halasz@att.com.
Visit NJ INFORMS Chapter home page at
http://rutcor.rutgers.edu/~lih/informs/njchap.html
Driving Directions to RUTCOR, Busch Campus, Rutgers
University
- From Route 1 and Turnpike:
- Get on Route 18 West/North and follow directions below.
- From Route 18:
- 1. Follow Route 18 North (or West - signs differ, mean the same) to
New Brunswick area.
- 2. Follow Route 18 North along river over big bridge across river
and take exit for Busch Campus.
- 3. Bear right at the traffic circle onto Bartholomew Road.
- 4. Turn left at the first stop sign onto Brett Road.
- 5. Follow Brett Road to the end, bear left into furthest parking lot (lot #64).
- 6. Follow cement walk past the Winlab modular building to the RUTCOR modular
building set back in the woods.
- From Route 287 North:
- 1. Take Exit 9 (formerly Exit 5, Bound Brook / Highland Park).
- 2. Turn left from off ramp (towards Highland Park).
- 3. Follow River Road (approx. 4 miles) to the 6th light.
- 4. Make a left onto Route 18 north.
- 5. Take the first, Busch Campus, exit.
- 6. Bear right at the traffic circle onto Bartholomew Road.
- 7. Turn left at the first stop sign onto Brett Road.
- 8. Follow Brett Road to the end, bear left into furthest parking lot (lot #64).
- 9. Follow cement walk past the Winlab modular building to the RUTCOR modular
building set back in the woods.
- From Route 287 South:
- Take Exit 9 (formerly Exit 5, Bound Brook / Highland Park).
- Bear right and follow above directions.
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