Concreting For Construction- Quality Control by Six Sigma Approach
Nishaant Ha1, Swethaa.B2, Chris Anto.L3
1Nishaant Ha, Assistant Professorf, Department of Civil Engineering Kumaraguru, College of Technology, Coimbatore (TamilNadu), India.
2Swethaa.B, Assistant Professorf, Department of Civil Engineering Kumaraguru, College of Technology, Coimbatore (TamilNadu), India.
3Chris Anto.L, Assistant Professorf, Department of Civil Engineering Kumaraguru, College of Technology, Coimbatore (TamilNadu), India.
Manuscript received on 10 December 2018 | Revised Manuscript received on 17 December 2018 | Manuscript Published on 30 December 2018 | PP: 332-335 | Volume-8 Issue- 2S December 2018 | Retrieval Number: BS2659128218/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A quality intensive approach towards construction concreting for the commercial industry is gaining immense importance and it has become the prime duty of every engineer to contribute towards ensuring durability and serviceability of the offered concrete. In this paper, a discussion is presented on a possible way of assuring quality of concrete by implementing six sigma principle to reduce the variability in characteristics among various batches. The methodology of DMAIC (Define-Measure-Analyse-Improve-Control) is applied to the concreting process, considering the Compressive Strength as the Critical to Quality (CTQ) factor. The concrete samples obtained from an RMC were tested for compressive strength at 3, 7 and 28 days, tabulated and analysed for variations. Also, different types of cements used are considered. Sigma levels are identified and suggestions for improving the levels are recommended, which in turn tend to reduce variations and thus streamline the strength values within narrow limits. Control charts as guidelines for further concreting are established.
Keywords: CTQ, DMAIC, DPMO, Sigma Level
Scope of the Article: Computational Techniques in Civil Engineering