Forecast of Ready Mix Concrete Operation By Neuralnetwork

Abstract

In construction concrete place a major role, as the demand increases there is necessity for ready mix concrete (RMC) industry to cope up the demand.The Ready Mix Concrete (RMC) industry is growing due to the superior technical properties over normal concrete, but the potential is still huge. Concrete must be batched remotely and delivered to site by transit mixers. The productivity of ready mix concrete (RMC) placing is therefore of great important to the productivity improvement of the whole construction industry.An efficient RMC (Ready Mixed Concrete) delivering process becomes important to RMC batch plants. Because of time limitation of RMC delivery, the RMC plant manager usually needs to consider both timeliness and flexibility while matching up the working processes at various construction sites that call for RMC deliveries.Concrete production scheduling and truck dispatching is mainly handled manually by experienced RMCbatching plants staff. Various supply chain parameters detail of ready mix concrete (RMC) batching plant are considered for the prediction of productivity of the plant. This thesis provides an alternative way of tool which is applied to ready mix concrete operations to analyze the utilization, assignment of production and transportation resources. Use of software based model using Artificial Neural Network enables the RMC operator and construction site to effectively utilize the delivery sequence for optimal performance.