Four case studies focused on disasters of different types and scale that occurred in different parts of the world were used to generate 30 diverse case studies to facilitate further research on humanitarian logistics problems
| case studies | case-study-47-1-4-1 | case-study-14-1-1-9 | case-study-30-1-1-10 | case-study-30-3-3-51 |
|---|---|---|---|---|
Network |
|
|
|
|
Description Source | Chile 2010 earthquake and tsunami [17] | Turkey 1999 earthquake [9] | Senegal ease study, instance Mboro [75] | US Gulf Coast hurricane threat [62] |
Number of vertices | 47 | 14 | 30 | 30 |
Number of facility categories | 1 | 1 | 1 | 3 |
Number of commodity types | 4 | 1 | 1 | 3 |
Number of scenarios | 1 | 9 | 10 | 51 |
Budgets: | ||||
Budget for facilities | 200,000 | 150,000 | 10,000 | 1,000,000 |
Acquisition budget | 500,000,000 | 1,000,000 | 300,000 | 29,500,000 |
Transportation budget | 50,000,000 | 2,000 | 2,000 | 1,500,000 |
Facilities: | ||||
Category | One category | One category | One category | Small facility |
Medium facility | ||||
Large facility | ||||
Capacity | 100,000 | 3,000 | 2,000 | 1,000 |
- | - | - | 12,000 | |
- | - | - | 22,000 | |
Opening cost | 100,000 | 35,000 | 5,000 | 19,600 |
- | - | - | 188,400 | |
- | - | - | 300,000 | |
Commodities: | ||||
Type | 1 bottle of water or milk | Aid kit | Aid kit | 1 000 gallons of water |
3 meals | - | - | 1 000 meals | |
1 personal product | - | - | medical kit | |
1 medicine unit | - | - | - | |
Unit volume | 0.00143 | 0.1 | 0.2 | 4 |
0.00021 | - | - | 2.3587 | |
0.00025 | - | - | 0.03285 | |
0.00005 | - | - | - | |
Unit acquisition cost | 0.2 | 20 | 30 | 647.7 |
2 | - | - | 5,420 | |
5 | - | - | 140 | |
3 | - | - | - | |
Unit transportation cost | 0.000158571 | 0.02 | 0.005 | 0.3 |
0.000023786 | - | - | 0.04 | |
0.00002775 | - | - | 0.00058 | |
0.00000555 | - | - | - | |
Average speed | 30 | 20 | 50 | 45 |
Summary: | ||||
Network description | There are 44 demand vertices in Chile clustered in groups of close- by villages where facilities cannot be opened and 3 zero demand vertices outside Chile as the only potential facility locations | There are 6 demand vertices where facilities cannot be opened, 5 zero demand vertices that arc potential facility locations and 3 zero demand vertices that are not potential facility locations | All vertices arc demand vertices in every scenario and are all potential facility locations. All scenario hap-pen with equal probability p=0.1 | All vertices arc potential facility locations, and in each scenario a few of them have non-zero demand. |
Expected proportion of aid that remains usable at a potential facility location | 1 | 1 | 1 | 0.97414 |
1 | - | - | 0.97414 | |
1 | - | - | 0.97414 | |
1 | - | - | - | |
Demand at a single vertex in a scenario | [0, 19,772,600] | [0, 21,793] | [2, 9,050] | [0, 9, 495] |
[0, 19,772,600] | - | - | [0. 5,285] | |
[0, 4,519,440] | - | - | [0, 37,751.1] | |
[0, 4,519,440] | - | - | - | |
Expected demand at a vertex in a scenario | 3,181,830 | 10,995.4 | 575.933 | 1,010.12 |
3,181,830 | - | - | 286.816 | |
727,275 | - | - | 2,164.83 | |
727,275 | - | - | - | |
Expected total demand in a scenario | 140,000,000 | 65,972.2 | 17,278 | 4,321.76 |
140,000,000 | - | - | 2,102.12 | |
32,000,100 | - | - | 14,537.2 | |
32,000,100 | - | - | - | |
Expected number of demand vertices in a scenario | 44 | 6 | 30 | 5.74755 |
Expected shortest path distance between 2 vertices | 505.175 | 3.50159 | 33.559 | 1,114.04 |
| case studies | case-study-47-1-4-1 | case-study-14-1-1-9 | case-study-30-1-1-10 | case-study-30-3-3-51 |
|---|---|---|---|---|
Network | ||||
Description Source | Chile 2010 earthquake and tsunami [17] | Turkey 1999 earthquake [9] | Senegal ease study, instance Mboro [75] | US Gulf Coast hurricane threat [62] |
Number of vertices | 47 | 14 | 30 | 30 |
Number of facility categories | 1 | 1 | 1 | 3 |
Number of commodity types | 4 | 1 | 1 | 3 |
Number of scenarios | 1 | 9 | 10 | 51 |
Budgets: | ||||
Budget for facilities | 200,000 | 150,000 | 10,000 | 1,000,000 |
Acquisition budget | 500,000,000 | 1,000,000 | 300,000 | 29,500,000 |
Transportation budget | 50,000,000 | 2,000 | 2,000 | 1,500,000 |
Facilities: | ||||
Category | One category | One category | One category | Small facility |
Medium facility | ||||
Large facility | ||||
Capacity | 100,000 | 3,000 | 2,000 | 1,000 |
- | - | - | 12,000 | |
- | - | - | 22,000 | |
Opening cost | 100,000 | 35,000 | 5,000 | 19,600 |
- | - | - | 188,400 | |
- | - | - | 300,000 | |
Commodities: | ||||
Type | 1 bottle of water or milk | Aid kit | Aid kit | 1 000 gallons of water |
3 meals | - | - | 1 000 meals | |
1 personal product | - | - | medical kit | |
1 medicine unit | - | - | - | |
Unit volume | 0.00143 | 0.1 | 0.2 | 4 |
0.00021 | - | - | 2.3587 | |
0.00025 | - | - | 0.03285 | |
0.00005 | - | - | - | |
Unit acquisition cost | 0.2 | 20 | 30 | 647.7 |
2 | - | - | 5,420 | |
5 | - | - | 140 | |
3 | - | - | - | |
Unit transportation cost | 0.000158571 | 0.02 | 0.005 | 0.3 |
0.000023786 | - | - | 0.04 | |
0.00002775 | - | - | 0.00058 | |
0.00000555 | - | - | - | |
Average speed | 30 | 20 | 50 | 45 |
Summary: | ||||
Network description | There are 44 demand vertices in Chile clustered in groups of close- by villages where facilities cannot be opened and 3 zero demand vertices outside Chile as the only potential facility locations | There are 6 demand vertices where facilities cannot be opened, 5 zero demand vertices that arc potential facility locations and 3 zero demand vertices that are not potential facility locations | All vertices arc demand vertices in every scenario and are all potential facility locations. All scenario hap-pen with equal probability p=0.1 | All vertices arc potential facility locations, and in each scenario a few of them have non-zero demand. |
Expected proportion of aid that remains usable at a potential facility location | 1 | 1 | 1 | 0.97414 |
1 | - | - | 0.97414 | |
1 | - | - | 0.97414 | |
1 | - | - | - | |
Demand at a single vertex in a scenario | [0, 19,772,600] | [0, 21,793] | [2, 9,050] | [0, 9, 495] |
[0, 19,772,600] | - | - | [0. 5,285] | |
[0, 4,519,440] | - | - | [0, 37,751.1] | |
[0, 4,519,440] | - | - | - | |
Expected demand at a vertex in a scenario | 3,181,830 | 10,995.4 | 575.933 | 1,010.12 |
3,181,830 | - | - | 286.816 | |
727,275 | - | - | 2,164.83 | |
727,275 | - | - | - | |
Expected total demand in a scenario | 140,000,000 | 65,972.2 | 17,278 | 4,321.76 |
140,000,000 | - | - | 2,102.12 | |
32,000,100 | - | - | 14,537.2 | |
32,000,100 | - | - | - | |
Expected number of demand vertices in a scenario | 44 | 6 | 30 | 5.74755 |
Expected shortest path distance between 2 vertices | 505.175 | 3.50159 | 33.559 | 1,114.04 |
| case studies | case-study-47-1-4-1 | case-study-14-1-1-9 | case-study-30-1-1-10 | case-study-30-3-3-51 |
|---|---|---|---|---|
Expected shortest path distance between 2 demand vertices | 288.921 | 3.81812 | 33.559 | 515.885 |
Capacity required to store the expected total demand in a scenario | 239,201 | 6,597.23 | 3,455.6 | 22,722.9 |
Facility budget necessary to meet the expected total demand in a scenario | 300,000 | 105,000 | 10,000 | 450,800 |
Acquisition budget necessary to meet the expected total demand in a scenario | 564,002,000 | 1,319,440 | 518,340 | 16,227,900 |
Additional case studies derived | case-study-47-1-4-6_1 | case-study-14-1-1-9 1 | case-study-30-1-1-10_1 | case-study-30-3-3-51 _1 |
case-study-47-1-4-6_2 | case-study-14-1-1-9 2 | case-study-30-1-1-10_2 | case-study-30-3-3-51 _2 | |
case-study-47-1-4-6_3 | case-study-14-1-1-9 3 | case-study-30-1-1-10_3 | case-study-30-3-3-51 _3 | |
case-study-47-1-4-6_4 | case-study-14-1-1-9_4 | case-study-30-1-1-10_4 | case-study-30-3-3-51 _4 | |
case-study-47-2-4-1_1 | case-study-14- 1-1-9_5 | case-study-30-1-1- 10_5 | case-study-30-1-3-51 | |
case-study-47-2-4-1_2 | case-study-30-1-1-10_6 | |||
case-study-47-2-4-6_1 | case-study-30-1-1-10_7 | |||
case-study-47-2-4-6_2 | case-study-30-1-1-10_8 |
| case studies | case-study-47-1-4-1 | case-study-14-1-1-9 | case-study-30-1-1-10 | case-study-30-3-3-51 |
|---|---|---|---|---|
Expected shortest path distance between 2 demand vertices | 288.921 | 3.81812 | 33.559 | 515.885 |
Capacity required to store the expected total demand in a scenario | 239,201 | 6,597.23 | 3,455.6 | 22,722.9 |
Facility budget necessary to meet the expected total demand in a scenario | 300,000 | 105,000 | 10,000 | 450,800 |
Acquisition budget necessary to meet the expected total demand in a scenario | 564,002,000 | 1,319,440 | 518,340 | 16,227,900 |
Additional case studies derived | case-study-47-1-4-6_1 | case-study-14-1-1-9 1 | case-study-30-1-1-10_1 | case-study-30-3-3-51 _1 |
case-study-47-1-4-6_2 | case-study-14-1-1-9 2 | case-study-30-1-1-10_2 | case-study-30-3-3-51 _2 | |
case-study-47-1-4-6_3 | case-study-14-1-1-9 3 | case-study-30-1-1-10_3 | case-study-30-3-3-51 _3 | |
case-study-47-1-4-6_4 | case-study-14-1-1-9_4 | case-study-30-1-1-10_4 | case-study-30-3-3-51 _4 | |
case-study-47-2-4-1_1 | case-study-14- 1-1-9_5 | case-study-30-1-1- 10_5 | case-study-30-1-3-51 | |
case-study-47-2-4-1_2 | case-study-30-1-1-10_6 | |||
case-study-47-2-4-6_1 | case-study-30-1-1-10_7 | |||
case-study-47-2-4-6_2 | case-study-30-1-1-10_8 |
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