Abstract
Growth of construction motion in the world specially Egyptian construction areas and ready mixed concrete production growth mainly in mega projects such as real estate projects, tourism projects and infrastructure projects, which they want high quality ready mixed concrete. The main objective of this paper is to analyze a clear understanding for measuring any concrete batch plant performance ratio by using analysis of collected data from more real concrete batch plants and determining the most effective factors that have great affect on concrete batch plants performance ratio. Predicting the actual future performance ratio and production rates for any concrete batch plant according to groups of effective factors is the essential sector which is suggest in this study using smart modeling analysis. Improve performance ratio of concrete batch plant was selected because of its importance in construction field by studying and analyzing the most effective factors. The study will be done by collecting and studying large detailed data through start of 2012 till the end of 2016 and it will be illustrated the time, quantities, distances and factors which affecting concrete batch plants performance ratio. This paper will be divided into main three groups, which are illustrated as follows: (1) It was mentioned the designing tables which is divided into three levels: (A) Field data recording sheet; (B) Field data processing sheet and (C) Field data analysis sheet to observe the most convincing variables that has large affect on concrete batch plant performance ratio. It was analyzed and checked the concrete batch plant performance ratio by optimizing its most effective variables. (2) It was mentioned how to analyze and use the collected detailed data from field and classified their variables affecting concrete batch plant performance ratio and getting the relation between concrete batch plant performance ratio and each variable separately considering all remaining variables are obviated then all statistical analysis were mentioned, all relations were proved to get proportion correlation for each variable. (3) It was summarized the conclusion. Finally this paper serve construction stakeholders to achieve a competitive level of time and quality for effective construction management.
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