Research Article

Combined Use of Mathematical Optimization and Design of Experiments for the Maximization of Profit in a Four-Echelon Supply Chain

Table 1

Summary of costs varying capacity, quality, delivery time, and interest rate.

CapacityLowHighLowHighLowHighLowHighMedium
QualityLowLowHighHighLowLowHighHighMedium
Delivery timeLowLowLowLowHighHighHighHighMedium
Interest rateLowHighHighLowHighLowLowHighMedium
Profit1,360,043.061,339,641.581,938,024.371,968,573.251,056,599.591,062,040.541,690,604.701,718,832.691,509,100.96
Total cost2,018,956.942,039,358.421,440,975.631,410,426.752,322,400.412,316,959.461,688,395.301,660,167.311,869,899.04
Quality647,879.86654,540.7362,696.0557,216.61690,396.33699,020.2084,562.6781,746.51352,695.05
Delivery time20,584.5619,327.6816,054.1714,683.14264,412.27244,240.99254,161.18222,891.04154,772.51
Raw material201,599.51204,765.54204,376.27200,467.45202,948.60205,726.42200,148.33203,940.97203,482.32
Production178,788.40181,096.20177,191.20175,918.60182,851.60184,320.40181,272.20181,497.00180,978.53
Transportation832,004.20850,951.80842,811.00835,318.00840,620.80848,430.20827,294.80840,946.40840,930.60
Operation136,256.00126,928.60136,191.60125,320.40138,975.80133,240.80138,920.20127,206.80135,125.47
Interest rate1,844.401,747.871,655.341,502.552,195.021,980.452,035.921,938.591,914.56