%0 Generic %1 Hassan2022 %A Araman, Hassan %A Saleh, Yahya %D 2022 %J The TQM Journal %K LeanSixSigma DMAICmethodology aluminumprofilesextrusion qualitymanagementpractices casestudy posted_with_chatgpt %R 10.1108/tqm-05-2021-0154 %T A case study on implementing Lean Six Sigma: DMAIC methodology in aluminum profiles extrusion process %U https://www.semanticscholar.org/paper/6b31ea0614cc38b4845c13803c81ee2063f35764 %X PurposeThis paper aims to investigate the sources of variation in aluminum profiles hot extrusion process for the purpose of process capability improvement at National Aluminum and Profiles Company (NAPCO) in Palestine. The critical-to-quality characteristics (CTQ) have been determined as base variables to measure the process capability.Design/methodology/approachThe DMAIC (Define, Measure, Analyze, Improve, and Control) Lean Six Sigma (LSS) approach has been adopted to conduct this study. More specifically, historical data analysis and PARETO charts have been employed. The defects' root causes have been determined using the cause-and-effect diagram and decision matrix. A course of suggested actions has been established to help in improving extrusion process capability. Minitab-18 software was used for conducting inferential statistical analysis. A case study considering a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 was selected for analysis.FindingsThe results indicated a reduction in DPMO from 89,649 to 15,659, sigma level was improved from 2.84 to 3.65, process yield was improved from 91.04% to 98.43% and cost was reduced from U$75,972 to U$13,250.9 (i.e. a saving of U$62,721). Studying and improving the sigma level of the extrusion process would yield fewer defective products and consequently fewer customer complaints. A validation process which has been conducted during the year 2019 showed a consistent improvement that aligns with the first stage of improvement made on October 1, 2018.Research limitations/implicationsThis study focuses on only one critical quality characteristic (CTQ), namely, a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 produced by NAPCO was selected for analysis.Practical implicationsThis study would be useful for researchers and practitioners to improve the process capability in aluminum profiles manufacturing industries in general and hot extrusion processes in particular.Originality/valueMany previous studies on applying LSS-DMAIC methodology have been conducted in aluminum industries in developed countries. According to the literature, it is highly recommended to have more case studies of applying LSS-DMAIC in different industries in developing countries. NAPCO is the only aluminum manufacturing plant in Palestine that hotly extrudes and coats aluminum profiles. Hence, the present study is the first of its kind in NAPCO and in Palestine. Projecting the assessment of the impact of process improvement opportunities and capability analyses into monetary measures are also innovative.

@Article{Hassan2022, abstract = {PurposeThis paper aims to investigate the sources of variation in aluminum profiles hot extrusion process for the purpose of process capability improvement at National Aluminum and Profiles Company (NAPCO) in Palestine. The critical-to-quality characteristics (CTQ) have been determined as base variables to measure the process capability.Design/methodology/approachThe DMAIC (Define, Measure, Analyze, Improve, and Control) Lean Six Sigma (LSS) approach has been adopted to conduct this study. More specifically, historical data analysis and PARETO charts have been employed. The defects' root causes have been determined using the cause-and-effect diagram and decision matrix. A course of suggested actions has been established to help in improving extrusion process capability. Minitab-18 software was used for conducting inferential statistical analysis. A case study considering a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 was selected for analysis.FindingsThe results indicated a reduction in DPMO from 89,649 to 15,659, sigma level was improved from 2.84 to 3.65, process yield was improved from 91.04% to 98.43% and cost was reduced from U$75,972 to U$13,250.9 (i.e. a saving of U$62,721). Studying and improving the sigma level of the extrusion process would yield fewer defective products and consequently fewer customer complaints. A validation process which has been conducted during the year 2019 showed a consistent improvement that aligns with the first stage of improvement made on October 1, 2018.Research limitations/implicationsThis study focuses on only one critical quality characteristic (CTQ), namely, a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 produced by NAPCO was selected for analysis.Practical implicationsThis study would be useful for researchers and practitioners to improve the process capability in aluminum profiles manufacturing industries in general and hot extrusion processes in particular.Originality/valueMany previous studies on applying LSS-DMAIC methodology have been conducted in aluminum industries in developed countries. According to the literature, it is highly recommended to have more case studies of applying LSS-DMAIC in different industries in developing countries. NAPCO is the only aluminum manufacturing plant in Palestine that hotly extrudes and coats aluminum profiles. Hence, the present study is the first of its kind in NAPCO and in Palestine. Projecting the assessment of the impact of process improvement opportunities and capability analyses into monetary measures are also innovative.}, added-at = {2024-02-27T20:19:33.000+0100}, author = {Araman, Hassan and Saleh, Yahya}, biburl = {https://www.bibsonomy.org/bibtex/27bc3520f822bed284d48c798880201f7/muneeb482}, day = 10, description = {This case study examines the implementation of Lean Six Sigma DMAIC methodology in the aluminum profiles extrusion process, showcasing the benefits of systematic quality management practices.}, doi = {10.1108/tqm-05-2021-0154}, interhash = {63d9d9b77ea88239fa8d27ddd4a5d5ec}, intrahash = {7bc3520f822bed284d48c798880201f7}, journal = {The TQM Journal}, keywords = {LeanSixSigma DMAICmethodology aluminumprofilesextrusion qualitymanagementpractices casestudy posted_with_chatgpt}, month = {2}, timestamp = {2024-02-27T20:19:33.000+0100}, title = {A case study on implementing Lean Six Sigma: DMAIC methodology in aluminum profiles extrusion process}, url = {https://www.semanticscholar.org/paper/6b31ea0614cc38b4845c13803c81ee2063f35764}, year = 2022 }