Abstract
In order to make up for the shortcomings of current performance evaluation methods, this paper proposes a new method of enterprise performance evaluation, discusses the construction principle of the evaluation index, and proposes a method of enterprise supply chain overall performance evaluation based on the discrete Hopfield neural network (DHNN) algorithm. Enterprise supply chain (SC) is an important way for enterprises to conduct business with other strategic partners in the market, and the improvement of SC performance is an important way to improve the core competitiveness of enterprises, so it is of great value to study the performance evaluation and index design of the enterprise SC. This method calculates the level value of the overall performance of the SC. This level value is a value between 0 and 1. The higher the value, the higher the overall performance level of the SC. Therefore, when evaluating the overall performance of the SC, appropriate index weights must be selected according to the characteristics of the industry, which helps to objectively evaluate the overall performance of the SC.
Highlights
With the rapid development of science and technology, the continuous deepening of global economic integration has greatly increased the intensity of market competition
Combining the traditional analytic hierarchy process, this paper proposes and establishes an enterprise supply chain management (SCM) performance index evaluation model based on the discrete Hopfield neural network (DHNN)
Evaluation of the Performance Index of Enterprise SCM Based on the DHNN
Summary
With the rapid development of science and technology, the continuous deepening of global economic integration has greatly increased the intensity of market competition. Selecting the best supplier can reduce the overall system cost, improve competitiveness, and enable enterprises to find partners to solve problems and develop together. Many large international enterprises have joined suppliers in the research and development of new products, seeking to achieve “win-win” effect in the competition of multiple SCs [6]. Erefore, it is very important to develop a simple, effective, and practical supplier evaluation model. Combining the traditional analytic hierarchy process, this paper proposes and establishes an enterprise SCM performance index evaluation model based on the discrete Hopfield neural network (DHNN). Erefore, the scientific and effective evaluation of the enterprise performance of the SCM theory has turned into an important topic for enterprises and researchers. It can be seen that the research on the enterprise performance evaluation of SCM theory has very important practical significance
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