Abstract
This study aims to explore the impact of benchmarking for continuous improvement on product quality. The study adopts a qualitative method approach and finds that benchmarking is an essential tool for improving an organization's processes and achieving its goals. Benchmarking helps organizations position themselves in the marketplace and strategically improve poor performance. However, due to the non-representative sample used in the study, the downstream conclusions may be affected, and the analysis results may be unreliable. The study recommends the implementation of benchmarking as a solution for improving poor performance and product quality, specifically for ABX Company and other similar organizations. Additionally, the study investigates the effectiveness of implementing quality management system tools, which can significantly improve product quality to meet customer specifications in manufacturing organizations.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1697-1701 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350323153 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 - Singapore, Singapore Duration: 18 Dec 2023 → 21 Dec 2023 |
Publication series
| Name | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
|---|
Conference
| Conference | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 18/12/23 → 21/12/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Benchmarking
- Continuous Improvement
- Total Quality Management
ASJC Scopus subject areas
- Artificial Intelligence
- Decision Sciences (miscellaneous)
- Statistics, Probability and Uncertainty
- Industrial and Manufacturing Engineering
- Modeling and Simulation
- Strategy and Management
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