Version 1
: Received: 25 June 2023 / Approved: 26 June 2023 / Online: 26 June 2023 (05:34:15 CEST)
How to cite:
Zhong, Q. Optimization of Resource Management Allocation for Enterprise Benefit Based on Macroeconomic Prediction Model. Preprints2023, 2023061744. https://doi.org/10.20944/preprints202306.1744.v1
Zhong, Q. Optimization of Resource Management Allocation for Enterprise Benefit Based on Macroeconomic Prediction Model. Preprints 2023, 2023061744. https://doi.org/10.20944/preprints202306.1744.v1
Zhong, Q. Optimization of Resource Management Allocation for Enterprise Benefit Based on Macroeconomic Prediction Model. Preprints2023, 2023061744. https://doi.org/10.20944/preprints202306.1744.v1
APA Style
Zhong, Q. (2023). Optimization of Resource Management Allocation for Enterprise Benefit Based on Macroeconomic Prediction Model. Preprints. https://doi.org/10.20944/preprints202306.1744.v1
Chicago/Turabian Style
Zhong, Q. 2023 "Optimization of Resource Management Allocation for Enterprise Benefit Based on Macroeconomic Prediction Model" Preprints. https://doi.org/10.20944/preprints202306.1744.v1
Abstract
For an enterprise, the most critical aspect of development is resource management, which has a significant impact on all aspects of the enterprise. Therefore, enterprises must pay attention to resource management allocation, which can better promote the sustainable development of the enterprise and obtain optimal benefits. In the production and development of modern enterprises, the acquisition of benefits also involves the allocation of resources in enterprise management. This paper proposed a benefit optimization scheduling algorithm based on a macroeconomic prediction model under auction mechanism and a grid resource scheduling algorithm driven by a benefit function to allocate resources reasonably. This article used macroeconomic forecasting models to fully understand the resource needs of various departments and the resources held by enterprises, and rationally allocate various resources in various departments. This can improve the work efficiency of various departments, thereby reducing the cost of the enterprise, and achieving optimal benefits for the enterprise. The experimental results in this paper showed that the cost of resource management allocation for the benefit optimization scheduling algorithm and the grid resource scheduling algorithm based on the benefit function driven under the auction mechanism was 105.6 yuan and 46.8 yuan respectively when the task volume was 125 under the multi user environment. The time allocated for resource management was 36.6s and 18.9s respectively. It can be seen that the efficiency function driven grid resource scheduling algorithm had a lower cost and time for resource management allocation, so the efficiency function driven grid resource scheduling algorithm can achieve enterprise efficiency optimization.
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
