Research Article

A Robust Optimization Modeling for Mine Supply Chain Planning under the Big Data

Table 2

The objective function value of different mining capacity and combination of the and .

Numerical example (M-N-S-T)/
(T RMB)

(T RMB)

(T RMB)

(T RMB)

(T RMB)

(T RMB)

(T RMB)

3-2-2-3I7.68397.69237.72317.84237.89017.90217.9521
II6.33696.35886.37306.44846.78166.83156.9723
III5.39505.39505.39665.43265.57785.77895.8452
IV5.37765.37765.39515.40945.47395.53495.5892
V6.70866.70966.74526.91607.41937.31307.5295

4-3-3-5I3.26543.28323.29373.35973.13073.36423.3958
II2.12032.12032.12032.12162.12282.13942.1518
III2.31112.31172.31212.31372.32062.33562.3813
IV2.08172.08462.08912.09672.10442.20412.2402
V2.01982.01982.02082.02282.03032.06212.0772

6-5-6-8I109.147109.589110.184110.870111.021111.068112.098
II83.98984.15284.45684.79285.41185.89686.231
III83.89584.00884.22984.39984.71285.02385.932
IV95.63795.72495.91396.05696.30596.83297.235
V86.96186.98386.99287.00987.13587.83288.016

8-5-12-10I265.303266.831269.233270.665272.116274.359283.012
II291.983292.580293.404293.878294.387295.346296.063
III238.284238.423238.535238.666238.783239.012239.983
IV250.909250.961250.985250.979251.092251.931252.096
V276.022276.049276.077276.092276.115276.903277.012

10-5-12-10I340.973341.329341.772342.006342.366343.001343.893
II334.036334.357334.877335.255335.768335.982336.023
III284.802284.851284.857284.878285.912286.012288.022
IV294.162294.181294.261294.231294.257294.719294.975
V309.256309.253309.276309.299309.542309.892310.021

15-5-15-10I537.261537.321537.982537.998538.231539.012539.823
II432.421432.498432.512432.832432.987433.053433.875
III421.905421.998422.012422.429422.498423.712423.891
IV415.235412.389412.578412.698412.986413.245414.046
V409.357409.398409.406409.502409.584410.302410.356

25-5-15-10I589.599589.904590.052590.146590.250590.457590.602
II508.920508.874508.922508.930509.103509.521510.903
III509.103509.428509.754509.981509.995510.325510.932
IV488.837488.835488.879488.914488.941488.982489.041
V479.032479.321479.832479.982479.998480.216480.427

30-5-20-10I673.923674.022675.921675.995676.023676.901679.313
II665.321665.492665.792666.912666.998670.321679.352
III650.384650.822650.982651.342652.094653.926654.932
IV642.394642.834643.136643.213644.932645.138658.227
V639.356639.722640.201640.835642.930631.159638.315