Sensitivity of Parameters in the Approach of Linear Programming to a Transportation Problem

Abstract

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 profit 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.

Mathematical model based on genetic algorithms to optimize profits in an underground passenger transport company

“…De hecho, se aprecia que la rentabilidad por tipo de bus varía desde 63,59% (bus cama) hasta 190,75% (bus super cama), bajo el modelo de administración de ingresos y costos que aplica la empresa. Esta apreciación en cuanto a la incidencia de la volatilidad de la demanda en la rentabilidad también fue manifestada por Latunde et al (2019), quienes demostraron que la gestión de ingresos es un aspecto central para la mejora de las rutas de los buses y alcanzar los niveles de rentabilidad deseados.…”