Investigation of Ready Mixed Concrete Transportation Problem Using Linear Programming and Genetic Algorithm
Abstract: Ready-mixed concrete
(RMC) is one of the most common building material for construction industry for
nearly all developed and developing countries. Generally, because of the
technical requirements, concrete must be mixed in a batch plant and transported
to the construction site. There are two important factors affected the cost of
RMC: raw material cost and transportation cost. Additionally, transportation
cost is also included when determining the unit price of RMC. However,
profitability affects adversely in the case of long distance between the plant
and construction site. For these reason, distribution of RMC from supply to the
demand points with minimum cost is aimed in this study. This work contributes
to both modelling and dispatching of RMC as an optimization problem by applying
linear and heuristic methods. For this purpose, as an example, an urban area
which divided into 7 districts and contained 4 concrete batch plants is
discussed. Linear programming and genetic algorithm were applied to solve this
problem and compared each other under the same conditions. The result shows
linear programming is more efficient for this application because of the
limited constraints and variables.
Author: Gulcag Albayrak, Ugur
Albayrak
Journal Code: jptsipilgg160057
