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Post-Disaster Medical Service Planning: Case for Istanbul Sinan TÜRKMEN I.D. Bilkent University
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Page 1: Post disaster medical service planning

Post-Disaster Medical Service

Planning: Case for Istanbul

Sinan TÜRKMEN

I.D. Bilkent University

Page 2: Post disaster medical service planning

Agenda

• Overview

• Literature Review

• Problem Definition

• Data Generation

• Mathematical Model

• Decisions

• Parameters

• Solution Methodology

• Future Research

Page 3: Post disaster medical service planning

Overview

• Aug. 17th, 1999 Istanbul Earthquake

• 17.480 killed, 43.599 injured

• Using Supply Chain Management as an Evacuation Plan in Disaster and

Crisis Management: Istanbul Case, Sinan TÜRKMEN

• Deployment of Field Hospitals in Mass Casualty Incidents, F. Sibel Salman

Page 4: Post disaster medical service planning

Overview

Page 5: Post disaster medical service planning

Overview

Response

RehabilitationMitigation

Preparedness

Page 6: Post disaster medical service planning

Overview

• Single Period, Airport Evacuation

with Turkish Air Force’s

Capabilities

• Multi-Period, Openning New Field

Hospitals

Page 7: Post disaster medical service planning

Literature Review

• Resource Allocation

• P-Median Selection

• Route Selection

• Multi-period mixed integer programming

Page 8: Post disaster medical service planning

Problem Definition

• Possible Istanbul Earthquake

• The casualties which cannot be placed in the existing hospitals

• Open new field hospitals

• Move to other cities’ hospitals by aeroplanes

Page 9: Post disaster medical service planning

Problem Definition

Page 10: Post disaster medical service planning

Problem Definition

Page 11: Post disaster medical service planning

Data Generation

• Province Based Population

• 18+15+50 Aeroplanes (C-130, C160, CN235)

• Possible Earthquake Severity-Upon Epicenter

• Possible Severity in the Provinces

• Total Dwellings in the Provinces

Page 12: Post disaster medical service planning

Data Generation

• Possible Damaged Dwellings

• Possible Casualties in the Provinces

• Active Bed Amount in the Provinces

• Unserved Casualties based on the Provinces

Page 13: Post disaster medical service planning
Page 14: Post disaster medical service planning

Mathematical Model

Page 15: Post disaster medical service planning

Mathematical Model

Page 16: Post disaster medical service planning
Page 17: Post disaster medical service planning

Mathematical Model

• In Mathematical Model, we try to minimize the total time for any person to

arrive at a hospital (existing, new field or outsourced via aeroplanes)

• Decisions are

• Where to locate new field hospitals

• How many/ which types of aeroplane must be sent to where (Sabiha/Atatürk)

Page 18: Post disaster medical service planning

Mathematical Model

• Parameters are

• Provinces’ active bed capacity

• New field hospitals’ capacity

• Total inventory of the aeroplanes

• Capacity of the aeroplane types

• Travel times

Page 19: Post disaster medical service planning

Mathematical Model

• Solution Methodology

• Single period, single casualty type, infinite vehicles

• Single period, multiple casualty types, infinite vehicles

• Multiple period, single casualty type, infinite vehicles

• Multiple period, multiple casualty types, infinite vehicles

• Multiple period, single casualty type, finite vehicles

• Multiple period, multiple casualty types, finite vehicles

R

E

A

L

I

T

Y

Page 20: Post disaster medical service planning

Mathematical Model

Page 21: Post disaster medical service planning

Mathematical Model

Page 22: Post disaster medical service planning

Mathematical Model

Page 23: Post disaster medical service planning

Mathematical Model

Page 24: Post disaster medical service planning

Future Research

Geographical

Information

System

Post-Disaster Decision Support System

Unmaned

Aerial Vehicles

Photogrammetry

Crew Selection

Route Selection

Page 25: Post disaster medical service planning

Thanks…

Q/A ?