APP for Optimizing Number of Trucks for Dispatching Operation of Concrete Plant
A. K. Gaikwad1, S. B. Thakare2

1Mr. A. K. Gaikwad Research Scholar, DYPIoT, Pimpri, Pune.
2Dr. S. B. Thakare, Professor and Guide,DYPIoT, Pimpri, Pune.

Manuscript received on September 16, 2019. | Revised Manuscript received on 25 September, 2019. | Manuscript published on October 10, 2019. | PP: 1885-1887 | Volume-8 Issue-12, October 2019. | Retrieval Number: L28741081219/2019©BEIESP | DOI: 10.35940/ijitee.L2874.1081219
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Abstract: Ready Mix Concrete (RMC) batch plant manager dispatches RMC trucks to different construction sites as per the demands and availability of RMC trucks at plant. To have maximum production and profit of the plant, generally more and more number of trucks are send to the sites with the thumb rules or logic of the batch plant manager, through his experience and depending on the capacity of the plant (CP). To avoid discontinuous (interrupted) RMC casting he requires sufficient number of RMC trucks at plant as well as at sites. This logic may be inefficient and might present the loss of profits. Also this may demands more number of trucks. In this research attempt is made to minimize the number of trucks along with reduction in waiting time of trucks by applying Genetic Algorithm (GA) optimization and simulation of operations through App. The flexibility has been given to the dispatching manager to make changes in the data parameters if required. A user-friendly App is developed in MATLAB environment to help the plant manager to decide dispatching schedule with less number of RMC trucks, compared with present industry logic.
Keywords:  GA’s Applications, Optimization of RMC Trucks, Reducing Number of RMC Trucks, Optimization of Transit Mixers for Dispatching Schedule, App for Reducing RMC Trucks.
Scope of the Article: Discrete Optimization