Six Sigma in the Service Industry
DOI:
https://doi.org/10.62051/ijgem.v4n2.36Keywords:
Service industry, Six Sigma, DMAICAbstract
This study sorts out the origin and development of Six Sigma management theory, elaborates on the connotation of Six Sigma and the current situation of industrial application, focuses on the application of Six Sigma in the service field, and analyzes and reviews the application of Six Sigma from the micro and practical levels. The final conclusion is that service industry companies improve service quality and efficiency by using Six Sigma methods, train employees to enhance their professional abilities, and optimize service processes under data-driven conditions to achieve financial efficiency enhancement.
Downloads
References
[1] Antony, Jiju. Six sigma for service processes [J]. Business Process Management Journal, 2013, 12(2):234-248.
[2] Production Process Improvement Using the Six Sigma DMAIC Methodology: A Case Study of a Laser Computer Mouse Production Process [J]. Springer Berlin Heidelberg, 2013.
[3] Abbes N, Sejri N, Xu J, et al. New Lean Six Sigma readiness assessment model using fuzzy logic: Case study within clothing industry [J]. Alexandria Engineering Journal, 2022.
[4] Chen Xiaowen Research on Improving Bank Service Management Based on Lean Six Sigma [D]. Tianjin University, 2017.
[5] Zou Junfang Research on Quality Management of Automotive After sales Service Based on Six Sigma [D]. Hunan University, 2013
[6] Brue G. Six Sigma for Small Business Madison. Entrepeneur Press, 2006, (7): 1-15
[7] Akpolat H. Six sigma in transactional and service environments. Burlington, VT: Gower Publishing Limited, 2004, (4): 14-51
[8] Heuring L. Six Sigma in sight. HR Magazine, 2004, (3): 76-80
[9] Ge Jun. Six Sigma Management for Service Enterprises [J]. Enterprise Reform and Management. 2011 (01):75-76.
[10] Chia-Nan Wang. The performance analysis using Six Sigma DMAIC and integrated MCDM approach: A case study for microlens process in Vietnam. Journal of Engineering Research.2024.04.013
[11] Peng Hao Research on Production Quality Management Optimization of R Company Based on Six Sigma [D]. Guilin University of Electronic Science and Technology, 2023.
[12] Yu Sihan Research on Procurement Process Optimization of TC Company Based on Six Sigma DMAIC Improvement [D]. Zhengzhou University, 2022.
[13] Liu Shenglan, He Cuiqiang. Management of bottleneck equipment performance improvement based on DMAIC method [J]. Management and technology of small and medium-sized enterprises, 2024(05):118-120.
[14] Chen Yao. Application Research of Six Sigma Management in Quality Cost Control of Small and Medium sized Construction Enterprises [J]. Business News, 2024 (06): 96-99
[15] Zhang Yunsong, Hu Guojie, Liu Ming. Empirical Analysis of Supply Chain Risk Control in Construction Projects Based on Lean Six Sigma [J]. Journal of Liaoning University of Technology (Social Sciences Edition) 2020, 22 (03): 46-48
[16] Sun Enlightenment Research on Improving Retail Business Service Quality of Agricultural Bank of China T Branch Based on Lean Six Sigma [D]. Shandong University, 2023.
[17] Xin Xing Research on Optimization of IT Operation and Maintenance Service Quality Management in Company A [D]. Nanchang University, 2024.
[18] Han Jinming Research on Optimization of Medical Imaging Examination Process Based on Lean Six Sigma [D]. Shandong University, 2023.
[19] Li Li. Optimization of the Export Process of A Gathering Station Based on Six Sigma Method [J]. Value Engineering, 2024, 43(09):1-4.
[20] Yang Fenghua, Luo Mengmeng, He Ruirui, et al. Application of DMAIC model based on Six Sigma in clinical nurse training and management [J]. Xizang Medicine, 2023, 44 (06): 3-5
[21] Yu Shinan Research on the Business Process Reengineering of L Company's Archive Services [D]. Huaqiao University, 2023.
[22] Adefemi Adeodu, Development of an improvement framework for warehouse processes using lean six sigma (DMAIC) approach. A case of third party logistics (3PL) services, Heliyon, 2023.09.04
[23] Mitchell E M, Kovach J V. Improving supply chain information sharing using Design for Six Sigma [J]. European Research on Management & Business Economics, 2016, 22( 3):147-154.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







