• Dr. S. B. Thakare
• Mr. Gaikwad A. K

The Ready Mix Concrete (RMC) batch plant manager has to prepare an efficient schedule of dispatching RMC trucks, which will optimize number of trucks required for a dispatching sequence. There are two major types of costs associated with RMC trucks. One is the cost of owning and maintaining RMC trucks, another is the opportunity cost because of the improper dispatching schedule. From the productivity’s perspective, any duration that RMC trucks wait at the construction site should be treated as a waste of time and represents the cost of the opportunity. Therefore, an efficient and balanced schedule of dispatching RMC trucks not only reduces the opportunity cost of dispatching operation but also minimizes the cost of owning and maintaining RMC trucks. The main objective of this paper is to suggest an App to reduce resources like RMC truck for dispatching schedule operation any RMC plant. This study suggests user friendly Genetic Algorithm (GA) based MATLAB App to give solution to the problem of RMC truck optimization there by reducing the number of trucks used for a dispatching.

GA’s applications, Un-interrupted Dispatching schedule, reducing RMC trucks, Optimizing RMC trucks.

"Optimization of number of trucks for dispatching schedule operation in ready mixed concrete plant using MATLAB App", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.1-5, January-2019, Available :http://www.jetir.org/papers/JETIRW006001.pdf

"Optimization of number of trucks for dispatching schedule operation in ready mixed concrete plant using MATLAB App", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp1-5, January-2019, Available at : http://www.jetir.org/papers/JETIRW006001.pdf