Evaluation of regional manufacturing quality competitiveness based on analytic network

Evaluation of regional manufacturing quality competitiveness based on analytic network

Shanhui Wang Caisheng Mao  

Ningbo Institute of technology, Zhejiang University, Ningbo 315100 China

Corresponding Author Email: 
30 June 2018
| Citation



The rapid development of manufacturing industry calls for further enhancement of regional manufacturing quality competitiveness (MQC). Against this backdrop, this paper constructs an evaluation index system for regional MQC in light of the operation features of regional manufacturing quality, and establishes an evaluation model based on analytic network process (ANP) considering the mutual influence and constraints between the evaluation indices. Taking China’s Zhejiang Province as an example, the proposed model was verified through empirical calculation on Super Decision (SD) software. The results show that quality subjects and quality benefits are the main influencing factors of Zhejiang’s MQC; Hangzhou achieved the highest comprehensive score of regional MQC, followed by Ningbo and Jiaxing. Quzhou, Lishui and Zhoushan were at the bottom of the ranking of comprehensive score; quality bases and quality benefits are major bottlenecks to the improvement of regional MQC in Zhejiang, which should be reformed in future. The proposed model and the ANP method are desirable tools for objective evaluation of the MQC, as quality development has become a national strategy of China.


manufacturing quality competitiveness (MQC), analytic network process (ANP), super decision (SD), quality bases, quality subjects, quality supports, quality benefits

1. Introduction
2. Literature review
3. Construction of evaluation index system
4. Research method and model construction
5. Empirical analysis
6. Conclusions

Albert N., Link-John T. S. (2006). Economic evaluation of the baldrige national quality program. Standards Press of China, Vol. 15, No. 1, pp. 83-100. http://doi.org/10.1080/1043859042000332204

Alexander B. (1996). How to construct a service quality index in performance based ratemaking. Electricity Journal, Vol. 9, No.3, pp. 46-53. http://doi.org/10.1016/S1040-6190(96)80408-8

Ashok K., Kathryn E. S., Jaideep M. T. (2002). A quality index based methodology for improving competitiveness: Analytical development and empirical validation. University of Michigan Business School.

Black S. A., Porter L. J. (1996). Identification of the critical factors of TQM. Decision Sciences, Vol. 27, No. 1, pp. 1-21. http://doi.org/10.1111/j.1540-5915.1996.tb00841.x

Brecka. (2000). Boost stock performance. Nation’s economy. Quality Progress, Vol. 31, No. 2, pp. 25-31.

Ennew K. (1995). The green initiative: improving quality and competitiveness for European SEMs. European Business Review, Vol. 97, No. 5, pp. 208-214. http://doi.org/10.1108/09555349710179816

Flynn B., Schoeder R., Sakibaba S. (1994). A framework for quality management research and associated measurement instrument. Journal of operations Management, No. 11, pp. 339 -366. http://doi.org/10.1016/S0272-6963(97)90004-8

Jiang J. D. (2005). Research on quality competitiveness of enterprises. Aeronautic Standardization & Quality, No. 2, pp. 13-17.

Nowlis S. M., Dhar R., Simonson I. (2010). The effect of decision order on purchase quality decisions. Journal of Marketing Research, Vol. 47, No. 4, pp. 725-737. http://doi.org/10.1509/jmkr.47.4.725

Peter J. B., Frank M. G. (2002). Quality and economics: Five key issues. Quality Progress, No. 10, pp. 64-69.

Porter M. E. (2002). Enhancing the microeconomic foundations of prosperity: the current competitiveness index. Quality Progress, Vol. 22, No. 1, pp. 137-162.

Wen D. C. (2005). Research on product quality competitiveness and its components. World Standardization and Quality Management, No. 6, pp. 4-8. http://doi.org/10.3969/j.issn.1674-5698.2005.06.001