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Classes | ||||||
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BMGT 332: Operations Research for Management Decisions |
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1a. |
Syllabus--Section 0101 (PDF) |
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1b. |
Syllabus--Section 0201 (PDF) |
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2. |
Overhead Slides (PDF) |
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3. |
Chapter 7 - Forecasting (PDF) |
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4. |
Discharge Referral (PDF) |
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BUDT 725: Models and Applications in Operations Research |
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1. |
Syllabus (PDF) |
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2. |
Customer Relationship Management Through Data Mining ( PowerPoint , PDF ) |
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BUDT 758O: Operations Management for Health Services Organizations |
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1. |
Syllabus (PDF) |
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2. |
Lecture Notes: Focused OM for Health Services Organizations (pages 1-374) |
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(PowerPoint, PDF) |
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3. |
Additional Overhead Slides |
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a. |
Go with the Flow: Improving Red
Cross Bloodmobiles Using Simulation Analysis
(PowerPoint,
PDF)
|
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b. |
Maximizing Cardiac Surgery Throughput at a Major Hospital (PDF) | ||||||
c. |
Reducing PACU Boarding by Altering the Block Schedule (PDF) | ||||||
d. |
Vehicle Routing for the American Red Cross (PowerPoint, PDF) | ||||||
e. |
Providing Timely Access to Healthcare or Must Patients be Patient? (PowerPoint, PDF) | ||||||
f. |
Using Simulation to Compare Inventory Policies at UMMC (PowerPoint, PDF) | ||||||
g. |
Increasing Throughput in Health Services Organizations (PowerPoint, PDF) | ||||||
h. |
Data Mining: Introduction and a Health Care Application (PDF) | ||||||
i. |
Factors Supporting Discharge Referral Decision Making (PDF) | ||||||
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BUDT 758C: Multi-Criteria and Group Decision Making |
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1. |
Course Announcement (PDF) |
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BMGT 808U: Quantitative Modeling for Hospital Operations and Management |
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1. |
Syllabus (PDF) |
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BMGT 831: Network Optimization |
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1. |
Syllabus (PDF) |
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2. |
Overhead Slides |
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a. |
Introduction: Graphs and Networks (PDF) | ||||||
b. |
Transportation, Transshipment, and Assignment Problems (PDF) | ||||||
c. |
Analysis of Algorithms (PDF) | ||||||
d. |
The Minimal Spanning Tree and its Variants (PDF) | ||||||
e. |
TSP Heuristics (PDF) | ||||||
f. |
Solving the TSP with Demon Algorithms and Variants (PDF) | ||||||
g. |
A Computational Study of Three Demon Algorithm Variants for Solving the TSP (PDF) | ||||||
h. |
A Fine-tuned Learning Approach to Optimization (PDF) | ||||||
i. |
Analysis of Heuristics (PDF) | ||||||
j. |
Christofides' TSP Algorithm (PDF) | ||||||
k. |
Shortest Paths and Related Problems (PDF) | ||||||
l. |
An Example of Visualization in Data Mining (PDF) | ||||||
m. |
The Vehicle Routing Problem (PDF) | ||||||
n. |
Vehicle Routing for the American Red Cross (PDF) | ||||||
o. |
Network Flows (PDF) | ||||||
p. |
Solving the Concave Cost Supply Scheduling Problem (PDF) | ||||||
q. |
New Developments in the Computerized Routing of Meter Readers over Street Networks (PDF) | ||||||
r. |
The Minimum Label Spanning Tree Problem: Illustrating the Power and Flexibility of Genetic Algorithms (PDF) | ||||||
s. |
The Split Delivery Vehicle Routing Problem: Applications, Algorithms, Test Problems, and Computational Results (PDF) | ||||||
t. | Graph Theory Definitions ( PDF) | ||||||
u. | Vehicle Routing & Scheduling (Ann Campbell) ( PDF) | ||||||
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MedChi Course |
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1. |
Overhead Slides (PDF) |
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