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Paper Title :
Effectiveness of Implementation of Lean Six Sigma Techniques in Construction

Author :Molly Thomas, L. Porcia

Article Citation :Molly Thomas ,L. Porcia , (2017 ) " Effectiveness of Implementation of Lean Six Sigma Techniques in Construction " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 1-10, Volume-5, Issue-3

Abstract : It has become imperative for construction companies to improve the quality of their work, increase work effectiveness, reduce waste and costs, and increase profit. The goal of Lean Construction is to build the project while maximizing value, minimizing waste, and pursuing perfection. Six Sigma concepts seek to improve quality and reduce variability and error and play a complementary role to lean. This work integrates Lean and Six Sigma with the goal of improving the construction process. The work is proceeded at first and foremost by reviewing various authors work on the Lean Construction techniques. Questionnaires are prepared based on the literature study to identify the major causes of wastes in construction industry. The data collection is carried out among experts in the field. The collected data is ranked using SPSS and the major factors causing wastes in construction industry are identified. One way ANOVA is done to determine if the major factors of construction wastes identified varies significantly with the type of organization. Current Value Stream Mapping for Ready Mix Concrete Manufacturing process identifies the non-value added activities. A fuzzy inference system is developed with the input functions as the lean and six sigma performance indicators and the output gives the lean performance rating. Formulation of process improvement measures is undertaken to improve lean performance rating. A revised value stream mapping is proposed, with the identified wastes (non-value added activities) eradicated or minimized, to achieve process improvement. Keywords - lean; six sigma; Pareto; Anova; Ready Mix Concrete; Value Stream Mapping; Fuzzy Inference

Type : Research paper

Published : Volume-5, Issue-3


DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-8724   View Here

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