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Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (4): 939-954.doi: 10.23919/JSEE.2023.000099

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  • 收稿日期:2021-09-03 接受日期:2023-07-19 出版日期:2023-08-18 发布日期:2023-08-28

Selecting suitable key supplier for core components during smart complex equipment central-private enterprises collaborative development process: from two different forms of evaluation information and matching perspective

Xin HUANG1,2(), Xiaoyan QI3,*(), Hongzhuan CHEN1, Xiang CAI4()   

  1. 1 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
    2 Management School, Anhui University, Hefei 230601, China
    3 Nursing School, Anhui Medical University, Hefei 230601, China
    4 Business School, Guilin University of Electronics and Technology, Guilin 541004, China
  • Received:2021-09-03 Accepted:2023-07-19 Online:2023-08-18 Published:2023-08-28
  • Contact: Xiaoyan QI E-mail:hxmic@163.com;ellaea2134392@163.com;gdcaixiang@guet.edu.cn
  • About author:
    HUANG Xin was born in 1992. He received his B.S. degree from Anhui University of Traditional Medicine, M.S. degree in management science and engineering from Guilin University of Electronics and Technology, and Ph.D. degree from Nanjing University of Aeronautics and Astronautics. He is an assistant professor in Anhui University. His research interests include supply chain coordination, complex equipment development management, and decision analysis. E-mail: hxmic@163.com

    QI Xiaoyan was born in 1994. She received her B.S. degree from Anhui University of Traditional Medicine, Master’s degree in Far Eastern University (Philippine), and Ph.D. degree in Nursing from Philippines Women ’s University. Since 2022, she has been an assistant professor in Nursing School, Anhui Medical University. Her research interests include decision analysis and nursing education. E-mail: ellaea2134392@163.com

    CHEN Hongzhuan was born in 1977. She received her B.S. and M.Eng. degrees from Shandong University of Science and Technology, and Ph.D. degree from Hohai University. She is a professor in College of Economics and Management, Nanjing University of Aeronautics and Astronautics. Her research interests include decision analysis, complex equipment development management, quality management, and supply chain coordination. E-mail: chz-hhu@163.com

    CAI Xiang was born in 1968. He received his Ph.D. degree from China University of Mining and Technology. He is a professor in the Business School, Guilin University of Electronics and Technology. His research interests include decision analysis, technical innovation, and enterprise marketing. E-mail: gdcaixiang@guet.edu.cn

Abstract:

With the development of central-private enterprises integration, selecting suitable key suppliers are able to provide core components for smart complex equipment. We consider selecting suitable key suppliers from matching perspective, for it not only satisfies natural development of smart complex equipment, it is also a good implementation of equipment project in central-private enterprises integration context. In in this paper, we carry out two parts of research, one is evaluation attributes based on comprehensive analysis, and the other is matching process between key suppliers and core components based on the matching attribute. In practical analysis process, we employ comprehensive evaluated analysis methods to acquire relevant attributes for the matching process that follows. In the analysis process, we adopt entropy-maximum deviation method (MDM)-decision-making trial and evaluation laboratory (DEMATEL)-technique for order preference by similarity to an ideal solution (TOPSIS) to obtain a comprehensive analysis. The entropy-MDM is applied to get weight value, DEMATEL is utilized to obtain internal relations, and TOPSIS is adopted to get ideal evaluated solution. We consider aggregating two types of evaluation information according to similarities of smart complex equipment based on the combination between geometric mean and arithmetic mean. Moreover, based on the aforementioned attributes and generalized power Heronian mean operator, we aggregate preference information to acquire relevant satisfaction degree, then combine the constructed matching model to get suitable key supplier. Through comprehensive analysis of selecting suitable suppliers, we know that two-sided matching and information aggregation can provide more research perspectives for smart complex equipment. Through analysis for relevant factors, we find that leading role and service level are also significant for the smart complex equipment development process.

Key words: smart complex equipment, key supplier, entropy- maximum deviation method (MDM), decision-making trial and evaluation laboratory (DEMATEL), technique for order preference by similarity to an ideal solution (TOPSIS), heronian mean operator, central-private enterprises collaborative development