Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (5): 775-783.doi: 10.23940/ijpe.20.05.p11.775783

• Orginal Article • Previous Articles     Next Articles

Cooperative Quality Evaluation of Supply Chain using Structural Characteristics

Aidi Xu,  and Yunfeng Shang*()   

  1. College of International Business, Zhejiang Yuexiu University of Foreign Languages, Shaoxing, 312000, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: Yunfeng Shang E-mail:yfshang101@163.com
  • Supported by:
    This paper is supported partly by Zhejiang Provincial Social Science Planning Key Project with No.20NDJC26Z and Zhejiang Provincial Education Department Scientific Research Project with No.Y201941283.

Abstract:

There is a quality benefit error in the block collaborative supply chain that is affected by the environmental factors of the supply market. In order to improve the ability of collaborative quality evaluation, a supply chain collaborative quality evaluation method based using structural characteristics is proposed. The sampling model of collaborative quality characteristic information of block collaborative supply chain is constructed. According to the quantitative recurrent analysis results of the collaborative quality sample data, block chain information fusion is carried out, and the association rules fusion feature distribution parameter set of block collaborative supply chain collaborative quality panel data is extracted. The collaborative quality data fusion of block collaborative supply chain is carried out by using the method of random probability density feature detection. Combined with the method of piecewise linear estimation, the statistical feature quantity of supply chain collaborative quality evaluation is constructed. According to the prior sample quantitative recurrent analysis results of supply chain collaborative quality evaluation, the collaborative quality feature quantity is analyzed, and the cooperative quality feature quantity of block collaborative supply chain is extracted. The structure feature extraction and fusion clustering method are used for information clustering. According to the distributed fusion results of characteristics, the collaborative quality of supply chain is evaluated. The simulation results show that the proposed method has high accuracy and good confidence in the evaluation of supply chain collaborative quality, and it improves the ability of collaborative quality control of block collaborative supply chain.

Key words: fuzzy C-means, clustering, block cooperative supply chain, cooperative quality evaluation