Sensitivity of Parameters in the Approach of Linear Programming to a Transportation Problem
Linear programming has served as a great tool in dealing with transportation problems to make a positive difference in economic and social activity. In this work, data of the National Union Of Road Transport Workers (NURTW) is analysed to minimizing the cost of maintenance and repair of buses taking the route from Sango park to different routes. Data collected from the park are represented using tables and solved using the Maple computer software application. The transportation problem is solved such that the transportation cost is minimized which leads to the prot being maximized. This is achieved by estimating the values of some identified parameters in the problem. This work will be beneficial to every other motor parks controllers to decide on some decision making that may bring to the union profit. This work will help the
NURTW in Sango to spend less on the vehicles and save more as income.
programming in Modeling the Allocation of Buses to Routes in a Transport
Service Authority. Universal Journal of Applied Mathematics, 2 (3), 125-135.
 Das, J.C. (2017), Load Flow Optimization and Optimal Power Flow ,
Boca Raton: CRC Press.
 Asase, A. (2011) The Transportation Problem, Case study: Guiness
Ghana Limited (Master's thesis). Faculty of Physical Science and Technology
 Bit, A. K., Biswal, M. P. and Alam, S. S. (1992). Fuzzy programming
approach to multicriteria decision making transportation problem. Fuzzy sets
and systems, 5 (2), 135-141.
 Patel, R. G. Patel, B. S. and Bhathwala, P. H. (2017). On Optimal
Solution of a Transportation Problem. Global Journal of Pure and Applied
Mathematics, 13 (9), 6201-6208.
 Latunde, T. and Bamigbola, O. M. (2018). Parameter Estimation and
Sensitivity Analysis of an Optimal Control Model for Capital Asset Management. Advances in Fuzzy Systems, 2018, 1-11. https//doi.org/10.1155/2018/4756520
 Latunde, T., Bamigbola O. M, and Aderinto Y. O (2016). Sensitivity of Parameters in an Optimal Control Model of the Electric Power Generating System. Ilorin Journal of Computer Science and Information Technology
(ILJCSIT), 1 (1), 54-70.
 Pandian, P. and Kavitha, K. (2012). Sensitivity Analysis in Solid Trans-
portation Problems. Applied Mathematical Sciences, 6 (136), 6787 - 6796.
 Sarbjit, S. (2012). Note on Transportation Problem with New Method
for Resolution of Degeneracy. Universal Journal of Industrial and Business
Management, 3 (1), 26-36.
Copyright (c) 2019 Journal of the Nigerian Society of Physical Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.