Biomass Logistics Network Design under Uncertainty

Uster, H. and Memisoglu, G., “Biomass Logistics Network Design under Price-based Supply and Yield Uncertainty,” Transportation Science, Vol. 52, No. 2, pp. 474–492, 2018.

The links to the biomass logistics network data instances are given below.

Example data – 80 scenarios.rar

Please right click on the link and click “Save Link As” to save it on your machine.

Format:

1. This data is for the lower bound (LB) problem.

2. In this example data there are 80 scenarios. For problems with more scenarios, PROBABILITIES.txt and YIELD_SCENARIOS.txt data need be populated and updated accordingly.

3. The location values are given as lat-long coordinates. The Euclidean distance formula is used to calculate the distances between facilities.

4. We have the following data files:

a. CAPACITIES.txt: The biomass inventory capacity at collection facilities

b. DEMAND.txt: Biomass demand at biorefineries

c. FIXED.txt: Collection facility fixed costs

d. GAMMAX.txt: Break-even prices for all farms (x-axis of the Gamma function)

e. GAMMAY.txt: Acreage of land converted by farms with respect to break-even prices (y-axis of the Gamma function)

f. GROUPS.txt: Farmer group number for each farmer

g. INDEX.txt: The size of all the sets

h. LOCATION1.txt: Location coordinates of farms

i. LOCATION2.txt: Location coordinates of collection facilities

j. LOCATION3.txt: Location coordinates of biorefineries

k. PARAMETERS.txt: Unit biomass salvage price and outsource cost, economies-of-scale discount factor at collection facilities and unit biomass transportation cost

l. PROBABILITIES.txt: Probabilities for each scenario to happen

m. YIELD_SCENARIOS.txt: Biomass yield amounts for all scenarios and all farms

5. The legend for the input data format is given below:

Symbol	Detail
I	farms
J	collection facilities
K	biorefineries
L	capacity levels
S	scenarios
R	crops considered
G	farm groups
m(l)	available inventory space for biomass of a collection facility with size l
d(k)	amount of biomass demanded by biorefinery k
f(j,l)	amortized fixed cost of opening and operating a collection facility of size l at location j
Ffarm(i)	location coordinates of farm i
Fcol(j)	location coordinates of collection facility j
Fbio(k)	location coordinates of biorefinery k
g(i)	group number of farm i
salvage_price	unit salvage price of biomass
outsource_cost	unit penalty cost of unsatis_ed biomass
discount	Economies-of-scale discount factor at collection facilities
trans_cost_reg	per unit per mile biomass transportation cost
p(s)	probability of occurrence of scenario s
phi(s,i)	biomass yield per acre at farm i according to scenario s