Capacitated CLSC Data Instances
Easwaran, G., and Üster. H., “Tabu Search and Benders Decomposition Approaches for a Capacitated Closed-Loop Supply Chain Network Design Problem,” Transportation Science, Vol. 43/3, pp. 301-320, 2009.
Note: The link to the CLSC Network Design Problem data instances is given below.
Please right click on the link and click "Save Target As" to save it on your machine.
· CLSC Data Instances - Model-2.zip
Format:
1. The data for the small instances are named Cap_Heuristics_U_1.txt to Cap_Heuristics_U_120.txt. The Table below gives the number of products, retailers, and collection centers in each class.
Class
Products
Retailers
Collection Centers
CS1
5
60
25
CS2
5
60
35
CS3
5
90
25
CS4
5
90
35
CS5
5
120
25
CS6
5
120
35
CS7
10
60
25
CS8
10
60
35
CS9
10
90
25
CS10
10
90
35
CS11
10
120
25
CS12
10
120
35
3. The data for the large instances are named Cap_Heuristics_Large_1.txt to Cap_Heuristics_Large_120.txt. The Table below gives the number of products, retailers, collection centers, and distribution centers in each class.
Class
Products
Retailers
Collection Centers
CL1
5
240
25
CL2
5
240
35
CL3
5
300
25
CL4
5
300
35
CL5
5
360
25
CL6
5
360
35
CL7
10
240
25
CL8
10
240
35
CL9
10
300
25
CL10
10
300
35
CL11
10
360
25
CL12
10
360
35
3. There are 10 instances under each class.
4. The Legend for the input file format is given below:
Symbol
Details
P
Products
R
Retailers
K
Collection centers
D
Distribution centers
S(p)
Remanufacturing product plants
T(p)
New product plants
D'rp
Fresh demand for product p at retailer r
Drp
Return demand for product p at retailer r
Fk
Fixed cost of opening collection center k
Fs(p) - spFC[p][s]
Fixed cost of opening remanufacturing plant s for product p
rkLTC
Transportation cost (per unit per mi) from retailer r to collection center k
drLTC
Transportation cost (per unit per mi) from distribution center d to retailer r
ks(p)LTC - [k][p][s]
Transportation cost (per unit per mi) from collection center k to remanufacturing plant s, associated with product p
s(p)dLTC - [p][s][d]
Transportation cost (per unit per mi) from remanufacturing plant s, associated with product p, to distribution center d
T(p)dLTC - [p][t][d]
Transportation cost (per unit per mi) from new product plant t, associated with product p, to the distribution center d.
pkPC - [p][k]
Collection processing cost for product p at location k
PRemanPC[p][s]
Remanufacturing cost for product p at location s
POemPC[p][t]
Manufacturing cost for product p at location t
Delta[r][p]
Retailer return fraction for product p at location r
Alpha[p][s(p)]
Remanufacturing coefficient for plant s for product p
Distribution_Capacities
Capacity for distribution center d
pdPC - [p][d]
Distribution processing cost for product p at location d
Cap[p][t(p)]
Capacity for new product plant t for product p
Collection_Capacities
Capacity for collection center k
Collection_Capacity_Coefficients
Collection capacity coefficient for product p
Distribution_Capacity_Coefficients
Distribution capacity coefficient for product p
X
(not applicable)
SpBar
(not applicable)
pkCapUtil-[p][k]
(not applicable)
PRemanCapUtil[p][s]
(not applicable)
POemCapUtil[p][t]
(not applicable)
pdCapUtil-[p][d]
(not applicable)
6. All the text files follow the following sample format. (Products=2, Retailers=3, Collection Centers=5, Distribution Centers=3).
P
2
R
3
K
5
D
3
S(p)
[3, 3]
T(p)
[3, 3]
D'rp
[[476, 480], [478, 458], [480, 483]]
Drp
[[299, 250], [272, 250], [255, 268]]
Fk
[1.44773e+007, 1.54936e+007, 1.51822e+007, 1.46114e+007, 1.58926e+007]
Fs(p) - spFC[p][s]
[[1.02101e+006, 1.20925e+006, 1.15693e+006], [1.51668e+006, 1.56021e+006, 1.43467e+006]]
rkLTC
[[2123.07, 1142.51, 494.696, 803.881, 1378.08], [2658.99, 1631.32, 797.991, 241.459, 1919.89], [397.523, 1431.08, 1875.72, 2767.94, 636.037]]
drLTC
[[6.64447, 7.7896, 2.9211], [3.63423, 4.78621, 3.14738], [6.08905, 7.34389, 1.70055]]
ks(p)LTC - [k][p][s]
[[[4.39954, 10.7587, 3.5525], [50.0591, 86.2556, 5.13426]], [[3.79271, 17.5223, 11.1379], [70.2111, 49.8024, 72.6498]], [[7.6992, 14.6272, 10.9736], [39.6622, 15.7879, 83.5602]], [[10.7966, 18.7486, 15.3099], [84.2019, 40.304, 124.634]], [[3.41344, 12.4654, 6.46025], [29.0086, 54.0381, 30.2922]]]
s(p)dLTC - [p][s][d]
[[[49.4849, 18.9911, 34.8942], [46.7057, 109.315, 63.9213], [1.69839, 66.932, 15.5171]], [[28.3145, 31.4717, 27.5628], [45.8544, 26.4101, 42.0959], [16.7381, 27.5628, 9.221]]]
T(p)dLTC - [p][t][d]
[[[84.1861, 42.151, 71.6798], [65.6582, 104.219, 75.617], [84.5335, 18.1805, 64.0371]], [[37.8111, 33.9774, 30.0685], [55.6267, 35.0298, 49.8385], [34.6539, 35.7063, 26.8361]]]
pkPC - [p][k]
[[629.786, 643.444, 669.231, 649.721, 682.004], [1001.34, 959.652, 941.519, 991.663, 974.678]]
PRemanPC[p][s]
[[673.267, 671.105, 773.797], [1081.28, 1004.03, 1088.2]]
POemPC[p][t]
[[131.865, 127.704, 135.468], [202.914, 197.062, 192.55]]
Delta[r][p]
[[0.760799, 0.77289], [0.702997, 0.729463], [0.718281, 0.73318]]
Alpha[p][s(p)]
[[0.948111, 0.934389, 0.831339], [0.95461, 0.92789, 0.892436]]
Distribution_Capacities
[9787.92, 9246.38, 9037.32]
pdPC - [p][d]
[[36.1182, 34.0571, 30.2031], [52.3546, 51.7581, 49.1857]]Cap[p][t(p)]
[[102860, 112752, 108525], [80836, 89638, 92446]]
Collection_Capacities
[88695, 85978, 97420, 95887, 94288]
Collection_Capacity_Coefficients
[1, 2]
Distribution_Capacity_Coefficients
[1, 5]
X
0
SpBar
[1, 1]
pkCapUtil-[p][k]
[[72.6248, 63.2263, 57.9226], [161.726, 124.238, 153.158]]
PRemanCapUtil[p][s]
[[120.227, 124.789, 102.549], [289.343, 342.368, 311.485]]
POemCapUtil[p][t]
[[75.2322, 75.6846, 79.7191], [209.013, 207.109, 192.172]]
pdCapUtil-[p][d]
[[36.8784, 38.9629, 31.9497], [70.0852, 95.4271, 97.0045]]
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