Problem 4: John, president of Hardrock Concrete Company, has plants in three
locations and is currently working on three major construction projects, located at
different sites. The shipping cost per truckload of concrete, plant capacities, and
project requirements are provided in the following table.
A. Formulate an initial feasible solution to Hardrock’s transportation problem
using the northwest corner rule.
B. Find the optimal solution using stepping-stone method
Question
John, president of Hardrock Concrete Company, has plants in three
locations and is currently working on three major construction projects, located at
different sites. The shipping cost per truckload of concrete, plant capacities, and
project requirements are provided in the following table.
"\\begin{matrix}\n & project A & project B & project C & plant \\space capacities \\\\\n plant 1 & \\$10 & \\$4 & \\$ 11 & 70\\\\\n plant 2& \\$12 & \\$5 & \\$ 8 & 50\\\\\n plant 3 & \\$9 & \\$7 & \\$6 & 30\\\\\nProject \\space requirements & 40 & 50 & 60 & 150\n\\end{matrix}"
A. Formulate an initial feasible solution to Hardrock’s transportation problem
using the northwest corner rule.
B. Find the optimal solution using stepping-stone method
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Soution
A. Formulate an initial feasible solution to Hardrock’s transportation problem
using the northwest corner rule.
"\\begin{matrix}\n & project A & project B & project C & plant \\space capacities \\\\\n plant 1 & 10 & 4 & 11 & 70\\\\\n plant 2& 12 & 5 & 8 & 50\\\\\n plant 3 & 9 & 7 & 6 & 30\\\\\nProject \\space requirements & 40 & 50 & 60 & 150\n\\end{matrix}"
(I)The rim values for plant 1=70 and project A=40 are compared.
The smaller of the two i.e. min(70,40) = 40 is assigned to plant 1 project A
This meets the complete demand of project A and leaves 70 - 40=30 units with plant 1.
(II)The rim values for plant1=30 and project B=50 are compared.
The smaller of the two i.e. min(30,50) = 30 is assigned to plant1 project B
This exhausts the capacity of plant1 and leaves 50 - 30=20 units with project B
(III)The rim values for plant2=50 and project B=20 are compared.
The smaller of the two i.e. min(50,20) = 20 is assigned to plant2 project B
This meets the complete demand of project B and leaves 50 - 20=30 units with plant2
(IV)The rim values for plant2=30 and project C=60 are compared.
The smaller of the two i.e. min(30,60) = 30 is assigned to plant2 project C
This exhausts the capacity of plant2 and leaves 60 - 30=30 units with project C
(V)The rim values for plant3=30 and project C=30 are compared.
The smaller of the two i.e. min(30,30) = 30 is assigned to plant3 project C
Initial feasible solution is
"\\begin{matrix}\n & project A & project B & project C & plant \\space capacities \\\\\n plant 1 & 10(40) & 4(30) & 11 & 70\\\\\n plant 2& 12 & 5(20) & 8 (30)& 50\\\\\n plant 3 & 9 & 7 & 6(30) & 30\\\\\nProject \\space requirements & 40 & 50 & 60 & 150\n\\end{matrix}"
The minimum total transportation cost =10×40+4×30+5×20+8×30+6×30=1040
Here, the number of allocated cells = 5 is equal to m + n - 1 = 3 + 3 - 1 = 5
∴ This solution is non-degenerate
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B. Find the optimal solution using stepping-stone method
Iteration-1 of optimality test
1. Create closed loop for unoccupied cells, we get
"\\begin{matrix}\n\nUnoccupied cell\t& Closed path\t & Net cost change\\\\\n C & \t C\u2192 B\u2192 B\u2192 C\t& 11 - 4 + 5 - 8=4\\\\\n A & \t A\u2192 B\u2192 B\u2192 A\t& 12 - 5 + 4 - 10=1\\\\\n A & \t A\u2192 C\u2192 C\u2192 B\u2192 B\u2192 A\t& 9 - 6 + 8 - 5 + 4 - 10=0\\\\A\n B & \t B\u2192 C\u2192 C\u2192 B & \t7 - 6 + 8 - 5=4\\\\\\end{matrix}"
Since all net cost change ≥0
So final optimal solution is arrived.
"\\begin{matrix}\n & project A & project B & project C & plant \\space capacities \\\\\n plant 1 & 10(40) & 4(30) & 11 & 70\\\\\n plant 2& 12 & 5(20) & 8 (30)& 50\\\\\n plant 3 & 9 & 7 & 6(30) & 30\\\\\nProject \\space requirements & 40 & 50 & 60 & 150\n\\end{matrix}"
The minimum total transportation cost =10×40+4×30+5×20+8×30+6×30=1040
Notice alternate solution is available with unoccupied cell plant 3 project A=0, but with the same optimal value.
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