Abstract
Supplier network collaborative efficiency evaluation is important content in the transformation and upgrading of intelligent manufacturing enterprises. Aiming at the shortcomings of existing methods, this paper proposes a new method to evaluate the collaborative efficiency of internal members of a complex supplier network based on complex network theory. Based on the analysis of the characteristics of the complex supplier network, from the perspective of the system, the macro supplier network is divided into multiple multi-level supplier micro subsystems with manufacturing enterprises as the core. In order to reasonably quantify the collaboration relationship of members in the subsystem structure model, the collaboration entropy is introduced as a measurement tool, and combined with the hesitation fuzzy scoring function, and the collaborative evaluation model of the complex supplier network is constructed. By quantifying the collaboration relationship among the members in the subsystem and summarizing it step by step and iteratively, the collaborative efficiency evaluation of the complex supplier network from local to overall is realized. Finally, taking a large battery manufacturing enterprise in China as an example, the proposed method is used to calculate the collaboration entropy, collaborative efficiency, and collaboration ratio of members at different supplier network levels. The results verify the effectiveness of the model.
Highlights
Published: 29 November 2021With the continuous deepening of a new round of scientific and technological revolution and industrial reform, the integrated development of digitization, networking, and intelligence in the manufacturing industry is constantly breaking through new technologies and giving birth to new business forms
In order to reasonably and dynamically determine the collaboration critical value used to divide the collaboration state, an improved hesitation fuzzy scoring function based on collaboration preference is introduced to avoid the impact of decision-makers’ absolute and subjective judgment on the research [17]
Collaboration, network, and other elements are combined, the collaborative behavior between the main manufacturer and its suppliers is adjusted to a new paradigm, and the node enterprises are connected in the form of a network to form a cooperative symbiotic supplier network collaborative ecosystem
Summary
With the continuous deepening of a new round of scientific and technological revolution and industrial reform, the integrated development of digitization, networking, and intelligence in the manufacturing industry is constantly breaking through new technologies and giving birth to new business forms. The results focus on the interpretation of the network structure, network membership, and its behavior, as well as the abstract overview of control strategies, but they generally ignore the role of synergy, a key element This has failed to put forward practical solutions to the low efficiency of supplier network collaboration in combination with the actual needs of enterprises in the process of moving forward to intelligent manufacturing. Due to the complex form and large number of nodes of the complex supplier network, in order to achieve the purpose of indifferently depicting the collaboration relationship of members, this paper chooses to cut and divide the complex supplier network into multiple multi-level micro subnetworks with manufacturing enterprises as the core. In order to reasonably and dynamically determine the collaboration critical value used to divide the collaboration state, an improved hesitation fuzzy scoring function based on collaboration preference is introduced to avoid the impact of decision-makers’ absolute and subjective judgment on the research [17]
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