Tree Transformation Method of Transportation Problem

2012 ◽  
Author(s):  
Baocheng Wan ◽  
Shijun Li ◽  
Jian Li
Keyword(s):  
Transportation Problem ◽  
Transformation Method ◽  
Tree Transformation

Time minimizing solid transportation problem

Optimization ◽  
1976 ◽  
Vol 7 (3) ◽  
pp. 395-403
Author(s):  
H.L. Bhatia ◽  
Kanti Swarup ◽  
M.C. Puri
Keyword(s):  
Transportation Problem ◽  
Solid Transportation Problem

The Transportation Problem under Uncertainty

2020 ◽  
Vol 52 (4) ◽  
pp. 1-13
Author(s):  
Alexander A. Pavlov ◽  
Elena G. Zhdanova
Keyword(s):  
Transportation Problem

OPTIMAL FEASIBLE SOLUTIONS TO A ROAD FREIGHT TRANSPORTATION PROBLEM

2020 ◽  
Vol 5 (1) ◽  
pp. 456
Author(s):  
Tolulope Latunde ◽  
Joseph Oluwaseun Richard ◽  
Opeyemi Odunayo Esan ◽  
Damilola Deborah Dare
Keyword(s):  
Transportation Problem ◽  
Optimal Solution ◽  
Transportation Cost ◽  
North West ◽  
Life Problems ◽  
Basic Feasible Solutions ◽  
Feasible Solutions ◽  
Road Freight Transportation ◽  
The Cost ◽  
Cost Of Transportation

For twenty decades, there is a visible ever forward advancement in the technology of mobility, vehicles and transportation system in general. However, there is no "cure-all" remedy ideal enough to solve all life problems but mathematics has proven that if the problem can be determined, it is most likely solvable. New methods and applications will keep coming to making sure that life problems will be solved faster and easier. This study is to adopt a mathematical transportation problem in the Coca-Cola company aiming to help the logistics department manager of the Asejire and Ikeja plant to decide on how to distribute demand by the customers and at the same time, minimize the cost of transportation. Here, different algorithms are used and compared to generate an optimal solution, namely; North West Corner Method (NWC), Least Cost Method (LCM) and Vogel’s Approximation Method (VAM). The transportation model type in this work is the Linear Programming as the problems are represented in tables and results are compared with the result obtained on Maple 18 software. The study shows various ways in which the initial basic feasible solutions to the problem can be obtained where the best method that saves the highest percentage of transportation cost with for this problem is the NWC. The NWC produces the optimal transportation cost which is 517,040 units.

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