| Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
|---|---|---|
| Article Number | 05035 | |
| Number of page(s) | 8 | |
| Section | Part 5: Management Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201710005035 | |
| Published online | 08 March 2017 | |
Management Practice of Supply Chain Quality Management in Service-oriented Manufacturing Industry
1 College of Economics and Management, Jiangsu University of Science and Technology, Jiangsu, China
2 Bachelor Business of Administration, University of New Brunswick, Canada
* Corresponding Email: songruyi2544@163.com
Supply chain quality management (SCQM) in service-oriented manufacturing industries is needed in delivering value to customers in all process of supply chain management based on total quality management (TQM). In the paper, we identify the latest themes through reviewing prior quality management and supply chain management(SCM) literature. In particular, we find manufacturing firms transform from providing products towards providing services, which means they need to go through fundamental changes especially in supply chains. We use a case study of Heilan Home to illustrate the SCQM themes and their ways in industrial practice. Based on our research, the case study, the experience of working with this firm, we propose a SCQM performance evaluation framework, as well as four strategies for other industries to improve customer satisfaction and added value. In this way can promote the transformation and upgrading of the manufacturing industry in the perspective of quality.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.