VMASC Nov2009 - the Virginia Modeling, Analysis and Simulation ...
VMASC Nov2009 - the Virginia Modeling, Analysis and Simulation ... VMASC Nov2009 - the Virginia Modeling, Analysis and Simulation ...
%Improvement Supply Chain and Reverse Logistics Warehouse simulation study: Combining Optimization and Simulation for improving material handling 30.00% 25.00% 20.00% 15.00% 10.00% 26.83% 22.30% 18.13% 12.87% 13.63%14.33% 8.99% 10.13%10.61% 1000 %Improv Improveme nt decreases • Combined Optimization and Zoning Simulation: Correlations, Throughput, and weighs • Invited: International Journal of Production Economics - Special Issue Improveme nt increases 5.00% 4 4 4 8 8 8 12 12 12 SKU/Batch 900 800 700 600 500 400 300 200 100 0 4 4 4 8 8 8 12 12 12 Ignore Use Educating Supply Chain, Reverse Logistics, and M&S Profit • In the U.S. Logistics Cost: $950 billion/year People Planet • Return Costs 5%: $43 billion/year • Empty containers costs globally 7.9 billion/year Production Component End Product Customer • Spring 2010 Reverse Flow Flapper et al. 2005
Customer Wait-Time WIP Throughput and Resource Allocation 50.00 45.00 Innovative JIT / CONWIP production systems • Analyzed and designed intelligent priority rules for Job Shops and Flow Shops • Reduce waiting time 40%-60% 40.00 35.00 30.00 25.00 20.00 15.00 10.00 5.00 0.00 1.2200 28 36 44 52 1.2000 60 Total Inv • Reduce WIP inventory up to 5% 1.1800 1.1600 SPT FIFO • Published: Journal of Production and Operations Management (2 more papers) 1.1400 1.1200 1.1000 Current methods Method New Rules An Application of Simulation-based Optimization in ER's Resource Allocation • Reduced Length of Stay (LOS) A System Dynamic Approach to Modeling the Sensitivity of Inappropriate Emergency Department Utilization • Presented: INFORMS 2009 - San Diego, CA 9 8 7 6 5 4 3 2 1 0 10 9 8 7 6 5 4 3 2 1 0 1 3 5 7 9 11 13 15 17 19 21 23 25 1 3 5 7 9 11 13 15 17 19 21 23 Nurses 5 4 3 2 1 0 Patient 1 3 5 7 9 11 13 15 17 19 21 23 Drs
- Page 4 and 5: Modeling and Simulation Academic Pr
- Page 6 and 7: M&S Program Productivity 2006 2007
- Page 8 and 9: Engaging VMASC Researchers Periodic
- Page 10 and 11: Currently Funded Projects VDOT Volu
- Page 12 and 13: Hampton Roads Transportation Altern
- Page 14 and 15: Unfunded Research Evacuation Simula
- Page 16 and 17: VMASC Old Dominion University Resea
- Page 18 and 19: Dr. Scerbo’s Research Projects
- Page 20 and 21: Dr. De Leo’s Research Projects
- Page 22 and 23: Dr. Ferdjallah’s Research Project
- Page 24 and 25: Virtual Environments
- Page 26 and 27: Example Project - NASA Air-Ops Lab
- Page 28 and 29: Example Project - Port Simulation S
- Page 30 and 31: Example Project - Crowd Modeling Va
- Page 32 and 33: Military/Homeland Security
- Page 34 and 35: Hampton Roads Urban Area Working Gr
- Page 36 and 37: Additional Projects Underway JTEOW/
- Page 38 and 39: Business & Supply Chain
- Page 42 and 43: Person/Day Dmnl System Dynamics Sim
- Page 44 and 45: Game-based Learning Update Dr. Yuzh
- Page 46 and 47: Virtual VMASC Sponsored by VMASC. P
- Page 48 and 49: Course: Introduction to Game Develo
- Page 50 and 51: Case Studies Insurgency Modeling—
- Page 52 and 53: Nigeria black circles represent the
- Page 54 and 55: Getting Theoretical . . . Agent-bas
- Page 56: Getting Theoretical . . . Engaging
Customer Wait-Time<br />
WIP<br />
Throughput <strong>and</strong> Resource Allocation<br />
50.00<br />
45.00<br />
Innovative JIT / CONWIP production<br />
systems<br />
• Analyzed <strong>and</strong> designed intelligent priority<br />
rules for Job Shops <strong>and</strong> Flow Shops<br />
• Reduce waiting time 40%-60%<br />
40.00<br />
35.00<br />
30.00<br />
25.00<br />
20.00<br />
15.00<br />
10.00<br />
5.00<br />
0.00<br />
1.2200<br />
28 36 44 52 1.2000 60<br />
Total Inv<br />
• Reduce WIP inventory up to 5%<br />
1.1800<br />
1.1600<br />
SPT<br />
FIFO<br />
• Published: Journal of Production <strong>and</strong><br />
Operations Management (2 more papers)<br />
1.1400<br />
1.1200<br />
1.1000<br />
Current methods<br />
Method<br />
New Rules<br />
An Application of <strong>Simulation</strong>-based<br />
Optimization in ER's Resource<br />
Allocation<br />
• Reduced Length of Stay (LOS)<br />
A System Dynamic Approach to<br />
<strong>Modeling</strong> <strong>the</strong> Sensitivity of<br />
Inappropriate Emergency Department<br />
Utilization<br />
• Presented: INFORMS 2009 - San<br />
Diego, CA<br />
9<br />
8<br />
7<br />
6<br />
5<br />
4<br />
3<br />
2<br />
1<br />
0<br />
10<br />
9<br />
8<br />
7<br />
6<br />
5<br />
4<br />
3<br />
2<br />
1<br />
0<br />
1 3 5 7 9 11 13 15 17 19 21 23 25<br />
1 3 5 7 9 11 13 15 17 19 21 23<br />
Nurses<br />
5<br />
4<br />
3<br />
2<br />
1<br />
0<br />
Patient<br />
1 3 5 7 9 11 13 15 17 19 21 23<br />
Drs
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