Sustainability-driven optimization of np chart for enhanced process monitoring
This study introduces a sustainable approach for monitoring manufacturing processes by optimizing the np chart to account for the environmental and economic impacts of inspection processes. Unlike traditional methods, which focus solely on quality control, the proposed approach integrates the costs...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Cleaner Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666790825000850 |
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| _version_ | 1849725670731546624 |
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| author | Salah Haridy Ridvan Aydin Asma'a Omar Zehra Araci Mohammad Shamsuzzaman Ahmed Maged |
| author_facet | Salah Haridy Ridvan Aydin Asma'a Omar Zehra Araci Mohammad Shamsuzzaman Ahmed Maged |
| author_sort | Salah Haridy |
| collection | DOAJ |
| description | This study introduces a sustainable approach for monitoring manufacturing processes by optimizing the np chart to account for the environmental and economic impacts of inspection processes. Unlike traditional methods, which focus solely on quality control, the proposed approach integrates the costs associated with recycling, reworking, and disposing of nonconforming items, thus addressing sustainability concerns. The optimal np chart enhances the detection of increasing shifts in the fraction of nonconforming items, leading to significant reductions in emissions, rework, disposal, and recycling costs. The novelty of this study lies in its ability to optimize the np chart for both quality control and sustainability. An application on fire extinguisher manufacturing demonstrates a 50% reduction in overall sustainability costs, when using the optimal chart compared to a conventional np chart. Sensitivity analysis further examines the impact of design parameters on total sustainability costs, providing practical insights for manufacturers aiming to reduce carbon emissions and inspection costs while maintaining high-quality production standards. The results reveal that the optimal np chart achieves 59% and 62% better performance under uniform and Rayleigh distributions, respectively. |
| format | Article |
| id | doaj-art-58892adb86554e61a4a76541bf00a77c |
| institution | DOAJ |
| issn | 2666-7908 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cleaner Engineering and Technology |
| spelling | doaj-art-58892adb86554e61a4a76541bf00a77c2025-08-20T03:10:24ZengElsevierCleaner Engineering and Technology2666-79082025-05-012610096210.1016/j.clet.2025.100962Sustainability-driven optimization of np chart for enhanced process monitoringSalah Haridy0Ridvan Aydin1Asma'a Omar2Zehra Araci3Mohammad Shamsuzzaman4Ahmed Maged5Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, United Arab Emirates; Benha Faculty of Engineering, Benha University, Egypt; Corresponding author. Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, United Arab Emirates.Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, United Arab EmiratesDepartment of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, United Arab EmiratesDepartment of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, United Arab EmiratesDepartment of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, United Arab EmiratesDepartment of Industrial Engineering, College of Engineering, American University of Sharjah, United Arab Emirates; Benha Faculty of Engineering, Benha University, EgyptThis study introduces a sustainable approach for monitoring manufacturing processes by optimizing the np chart to account for the environmental and economic impacts of inspection processes. Unlike traditional methods, which focus solely on quality control, the proposed approach integrates the costs associated with recycling, reworking, and disposing of nonconforming items, thus addressing sustainability concerns. The optimal np chart enhances the detection of increasing shifts in the fraction of nonconforming items, leading to significant reductions in emissions, rework, disposal, and recycling costs. The novelty of this study lies in its ability to optimize the np chart for both quality control and sustainability. An application on fire extinguisher manufacturing demonstrates a 50% reduction in overall sustainability costs, when using the optimal chart compared to a conventional np chart. Sensitivity analysis further examines the impact of design parameters on total sustainability costs, providing practical insights for manufacturers aiming to reduce carbon emissions and inspection costs while maintaining high-quality production standards. The results reveal that the optimal np chart achieves 59% and 62% better performance under uniform and Rayleigh distributions, respectively.http://www.sciencedirect.com/science/article/pii/S2666790825000850Control chartEmissionsOptimizationQuality controlStatistical monitoringSustainable monitoring |
| spellingShingle | Salah Haridy Ridvan Aydin Asma'a Omar Zehra Araci Mohammad Shamsuzzaman Ahmed Maged Sustainability-driven optimization of np chart for enhanced process monitoring Cleaner Engineering and Technology Control chart Emissions Optimization Quality control Statistical monitoring Sustainable monitoring |
| title | Sustainability-driven optimization of np chart for enhanced process monitoring |
| title_full | Sustainability-driven optimization of np chart for enhanced process monitoring |
| title_fullStr | Sustainability-driven optimization of np chart for enhanced process monitoring |
| title_full_unstemmed | Sustainability-driven optimization of np chart for enhanced process monitoring |
| title_short | Sustainability-driven optimization of np chart for enhanced process monitoring |
| title_sort | sustainability driven optimization of np chart for enhanced process monitoring |
| topic | Control chart Emissions Optimization Quality control Statistical monitoring Sustainable monitoring |
| url | http://www.sciencedirect.com/science/article/pii/S2666790825000850 |
| work_keys_str_mv | AT salahharidy sustainabilitydrivenoptimizationofnpchartforenhancedprocessmonitoring AT ridvanaydin sustainabilitydrivenoptimizationofnpchartforenhancedprocessmonitoring AT asmaaomar sustainabilitydrivenoptimizationofnpchartforenhancedprocessmonitoring AT zehraaraci sustainabilitydrivenoptimizationofnpchartforenhancedprocessmonitoring AT mohammadshamsuzzaman sustainabilitydrivenoptimizationofnpchartforenhancedprocessmonitoring AT ahmedmaged sustainabilitydrivenoptimizationofnpchartforenhancedprocessmonitoring |