%0 Generic %1 Astha2021 %A Sharma, Astha %A Bhanot, Neeraj %A Gupta, Ajay %A Trehan, R. %D 2021 %J International Journal of Productivity and Performance Management %K LeanSixSigma manufacturingefficiency qualitymanagement casestudy Indiancontext posted_with_chatgpt %R 10.1108/IJPPM-05-2020-0223 %T Application of Lean Six Sigma framework for improving manufacturing efficiency: a case study in Indian context %U https://www.semanticscholar.org/paper/a4e5cb0b7660ed159a1c3e2ab39d95d57951a958 %X PurposeThis study aims to utilize DMAIC methodology along with value stream mapping and other Lean Six Sigma tools in a major automobile light manufacturing industry to reduce defect rates and increase production capacity in their manufacturing line. The study also proposes a modified framework based on lean principles and FlexSim to identify and reduce waste in the selected industry.Design/methodology/approachA Lean Six Sigma modified framework has been deployed with DMAIC to reduce the defect rate and increase the production rate. Various tools like value stream mapping, brainstorming, Pareto charts, 5S, kanban, etc. have been used at different phases of DMAIC targeting wastes and inventory in the production line. Also, a simulation model has been utilized for the automobile light manufacturing industry to improve the machine utilization time with varying batch sizes.FindingsThe results of the study indicated a 53% reduction in defect rates. Thus, there would be an expected improvement in sigma value from 3.78 to 3.89 and a reduction in defects per million opportunities (DPMO) from 11,244 to 8,493. Additionally, simulation model using FlexSim was developed, and the optimum ordering batch size of raw material was obtained. It was also analyzed that idle time for various stations could be reduced by up to 30%.Practical implicationsThe utilized framework helps identify defects for managers to increase production efficiency. The workers, operators and supervisors on the production line also need to be trained regularly for identifying the areas of improvement.Originality/valueThe modified Lean Six Sigma framework used in this study includes FlexSim simulation to make the framework robust, which has not been used with LSS tools in the literature studied. Also, the LSS finds very less application in the manufacturing domain, considering which this study tends to add value in existing literature taking a case of an automobile light manufacturing industry.

@Article{Astha2021, abstract = {PurposeThis study aims to utilize DMAIC methodology along with value stream mapping and other Lean Six Sigma tools in a major automobile light manufacturing industry to reduce defect rates and increase production capacity in their manufacturing line. The study also proposes a modified framework based on lean principles and FlexSim to identify and reduce waste in the selected industry.Design/methodology/approachA Lean Six Sigma modified framework has been deployed with DMAIC to reduce the defect rate and increase the production rate. Various tools like value stream mapping, brainstorming, Pareto charts, 5S, kanban, etc. have been used at different phases of DMAIC targeting wastes and inventory in the production line. Also, a simulation model has been utilized for the automobile light manufacturing industry to improve the machine utilization time with varying batch sizes.FindingsThe results of the study indicated a 53% reduction in defect rates. Thus, there would be an expected improvement in sigma value from 3.78 to 3.89 and a reduction in defects per million opportunities (DPMO) from 11,244 to 8,493. Additionally, simulation model using FlexSim was developed, and the optimum ordering batch size of raw material was obtained. It was also analyzed that idle time for various stations could be reduced by up to 30%.Practical implicationsThe utilized framework helps identify defects for managers to increase production efficiency. The workers, operators and supervisors on the production line also need to be trained regularly for identifying the areas of improvement.Originality/valueThe modified Lean Six Sigma framework used in this study includes FlexSim simulation to make the framework robust, which has not been used with LSS tools in the literature studied. Also, the LSS finds very less application in the manufacturing domain, considering which this study tends to add value in existing literature taking a case of an automobile light manufacturing industry.}, added-at = {2024-02-27T20:18:59.000+0100}, author = {Sharma, Astha and Bhanot, Neeraj and Gupta, Ajay and Trehan, R.}, biburl = {https://www.bibsonomy.org/bibtex/2275db2539e0d4252b44e14f370d3c720/muneeb482}, day = 2, description = {A case study demonstrating the application of Lean Six Sigma framework to improve manufacturing efficiency in the Indian context, highlighting the effectiveness of quality management tools.}, doi = {10.1108/IJPPM-05-2020-0223}, interhash = {d0c799731f89433bff7d15271ac10893}, intrahash = {275db2539e0d4252b44e14f370d3c720}, journal = {International Journal of Productivity and Performance Management}, keywords = {LeanSixSigma manufacturingefficiency qualitymanagement casestudy Indiancontext posted_with_chatgpt}, month = {2}, timestamp = {2024-02-27T20:18:59.000+0100}, title = {Application of Lean Six Sigma framework for improving manufacturing efficiency: a case study in Indian context}, url = {https://www.semanticscholar.org/paper/a4e5cb0b7660ed159a1c3e2ab39d95d57951a958}, year = 2021 }