Integrated Bio-Energy Supply Chain
Network Planning
Memisoglu, G. and Uster, H., “Integrated Bio-Energy Supply Chain
Network Planning Problem,” Transportation
Science, Vol. 50/1, pp. 35-56, 2016.
Note: The links to the biologistics
network data instances are given below. You can either use the links below to
download all the instances together, or you can click the class no. you want
from the table below to download a specific class data.
Computational
Study data instances (C1 … C16) - Computational_Study.rar
Case Study
data instances (S1, S10) - Case_Study.rar
Please right click on the link and click “Save Link As” to save it on your machine.
Format:
1.
There are 16 different classes for the
computational study (C1, C2 … C16). There are 10 instances under each class.
Therefore, total of 160 instances are available.
2.
For the case study, we present the data
for S1 and S10. The other settings (S2, S3 … S9) can be generated from S1 using
the definitions presented in the paper.
|
Class No. |
|I| |
|J| |
|K| |
|Z| |
|T| |
|B| |
|L| |
|
200 |
20 |
20 |
25 |
5 |
3 |
2 |
|
|
300 |
30 |
20 |
25 |
5 |
3 |
2 |
|
|
200 |
20 |
30 |
25 |
5 |
3 |
2 |
|
|
300 |
30 |
30 |
25 |
5 |
3 |
2 |
|
|
200 |
20 |
20 |
35 |
5 |
3 |
2 |
|
|
300 |
30 |
20 |
35 |
5 |
3 |
2 |
|
|
200 |
20 |
30 |
35 |
5 |
3 |
2 |
|
|
300 |
30 |
30 |
35 |
5 |
3 |
2 |
|
|
200 |
20 |
20 |
25 |
10 |
3 |
2 |
|
|
300 |
30 |
20 |
25 |
10 |
3 |
2 |
|
|
200 |
20 |
30 |
25 |
10 |
3 |
2 |
|
|
300 |
30 |
30 |
25 |
10 |
3 |
2 |
|
|
200 |
20 |
20 |
35 |
10 |
3 |
2 |
|
|
300 |
30 |
20 |
35 |
10 |
3 |
2 |
|
|
200 |
20 |
30 |
35 |
10 |
3 |
2 |
|
|
300 |
30 |
30 |
35 |
10 |
3 |
2 |
|
|
254 |
25 |
19 |
18 |
10 |
5 |
4 |
|
|
254 |
25 |
19 |
18 |
20 |
5 |
4 |
3.
The
location values are given in x-y coordinates for the computational study. For
the case study data however, these values are given as lat-long
coordinates. Therefore, the distance formula used to calculate the distances
between facilities is different for computational study data and case study
data.
4.
The
time period data includes time zero (t=0). Therefore, in the data |T| values
are one more than the time period number. For example, in C10 there are 10 time
periods but in the data |T|=11. Therefore, the first entries for supply and
demand data that refer to t=0, are all zero.
5.
For
each instance, we have the following data files:
a. CAPACITIES.txt:
The production capacity, biomass and biofuel inventory at biorefineries and
biomass inventory at collection facilities
b. DEMAND.txt:
Biofuel demand at each blending facility for every time period
c. FIXED2.txt:
Collection facility fixed costs
d. FIXED3.txt:
Biorefinery fixed costs
e. INDEX.txt:
The size of all the sets
f. LOCATION1.txt:
Location coordinates of farms
g. LOCATION2.txt:
Location coordinates of collection facilities
h. LOCATION3.txt:
Location coordinates of biorefineries
i.
LOCATION4.txt:
Location coordinates of blending facilities
j.
PARAMETERS.txt:
Conversion and depreciation rates, processing costs, holding and transportation
costs and other problem parameters
k. SUPPLY.txt:
Biomass supply for each biomass type at every farm for every time period
6.
The legend for the input data format is
given below:
|
Symbol |
Detail |
|
I |
farms |
|
J |
collection facilities |
|
K |
biorefineries |
|
Z |
blending facilities |
|
L |
capacity levels |
|
T |
time periods |
|
B |
biomass types |
|
K(l) |
biofuel production capacity of a biorefinery with size l |
|
Cc(l) |
available inventory space for biomass of a
collection facility with size l |
|
Cm(l) |
available inventory space for biomass of a biorefinery with size l |
|
Cf(l) |
available inventory space for biofuel of a biorefinery with size l |
|
D(z,t) |
amount of biofuel demanded by blending
facility z at time t |
|
fc(j,l) |
amortized fixed cost of opening and operating
a collection facility of size l at location j |
|
fb(k,l) |
amortized fixed cost of opening and operating
a biorefinery of size l ar
location k |
|
Ffarm(i) |
location coordinates of farm i |
|
Fcol(j) |
location coordinates of collection facility j |
|
Fbio(k) |
location coordinates of biorefinery
k |
|
Fblend(z) |
location coordinates of blending facility z |
|
beta(b) |
conversion rate of one unit of biomass type b
to one unit of biofuel |
|
alpha(b) |
deterioration rate of biomass type b in one
period |
|
omega(b) |
processing cost of one unit of biomass type b |
|
delta |
discount factor for transportation cost
between collection facilities and biorefineries |
|
hm(b) |
holding cost of one unit of biomass type b for
one unit of time |
|
hf |
holding cost of one unit of biofuel for one
unit of time |
|
rm(b) |
per unit per mile biomass type b
transportation cost |
|
rf |
per unit per mile biofuel transportation cost |
|
S(i,b,t) |
amount of biomass type b at farm i at time t |
For an
updated data please see http://www.epa.gov/oswercpa/rd_mapping_tool.htm