American Journal of Applied Mathematics and Statistics
ISSN (Print): 2328-7306 ISSN (Online): 2328-7292 Editor-in-chief: Mohamed Seddeek
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American Journal of Applied Mathematics and Statistics. 2017, 5(2), 54-61
DOI: 10.12691/ajams-5-2-3
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### A New and Efficient Proposed Approach to Find Initial Basic Feasible Solution of a Transportation Problem

1Department of Statistics, Imo State University, PMB 2000, Owerri Nigeria

2Department of Mathematics, Michael Okpara University of Agriculture, Umudike, P.M.B. 7267, Umuahia, Abia State, Nigeria

3Procurement Officer/Director Planning, Research & Statistics, Nigeria Erosion & Watershed Management Project (World Bank-Assisted), Ministry of Petroleum & Environment, Plot 36, chief Executive Quarters, Area “B”, New Owerri, Nigeria

4Department of Statistics, School of Applied Science, Federal Polytechnic Ekewe, Yenagoa, Bayelsa State, Nigeria

Pub. Date: July 06, 2017

Cite this paper:
Opara Jude, Oruh Ben Ifeanyichukwu, Iheagwara Andrew Ihuoma and Esemokumo Perewarebo Akpos. A New and Efficient Proposed Approach to Find Initial Basic Feasible Solution of a Transportation Problem. American Journal of Applied Mathematics and Statistics. 2017; 5(2):54-61. doi: 10.12691/ajams-5-2-3

### Abstract

In this research, a new and efficient approach of finding an initial basic feasible solution to transportation problems is proposed. The proposed approach is named “Inverse Coefficient of Variation Method (ICVM)”, and the method is illustrated with seven numerical examples. Six existing methods; North West Corner Method (NWCM), Column Minimum Method (CMM), Least Cost Method (LCM), Row Minimum Method (RMM),Vogel’s Approximation Method (VAM), and Allocation Table Method (ATM) were compared with the proposed approach. It can be said conclusively that the proposed Inverse Coefficient of Variation Method (ICVM) provides an improved Initial Basic Feasible Solution to all the transportation problems used in the experiment. Further, the new method leads to the optimal solution to many of the problems considered.