Academic Journal of Mathematical Sciences, 2022, 3(2); doi: 10.25236/AJMS.2022.030202.
Yudong Wang1, Xiaochen Shi2, Ruitao Dong2, Mingzi Li2
1Department of Science, Northeast Forestry University, Harbin, 150040, China
2Department of Statistics, Chengdu University of Information Technology, Chengdu, 610103, China
This paper focuses on planning the choice of raw material ordering and transportation solutions for enterprises, and gives the most economical ordering and forwarding solutions for enterprises through quantitative analysis of supplier supply characteristics; and predicts the future production capacity of enterprises through time series analysis models, and finally gives the optimal ordering and transportation strategies. Among them, according to the existing optimal forwarder transshipment scheme to supplement, on the basis of the original consideration of the cost required for the production of enterprises, the model is improved, by increasing the target letter material type purchase limits, the establishment of multi-objective planning model based on Monte Carlo simulation to solve the optimal procurement scheme, the development of transshipment scheme. On this basis, the supplier supply data given in the article is divided in 240 weeks, 24 weeks as a cycle, and its long-term trend fluctuation over time is judged by drawing a time series diagram through SPSS, and the enterprise capacity prediction is made in cycles. In this paper, we find out the single-week capacity by selecting the capacity factor prediction, optimize the model, and substitute it into the improved multi-objective planning model to get the optimal strategy for purchasing and forwarding.
MATLAB; Multi-objective optimization; Optimal transit scheme; Monte Carlo simulation
Yudong Wang, Xiaochen Shi, Ruitao Dong, Mingzi Li. Nonlinear Programming Model Based on Monte Carlo Simulation. Academic Journal of Mathematical Sciences (2022) Vol. 3, Issue 2: 6-12. https://doi.org/10.25236/AJMS.2022.030202.
 Zhao H B, Zhang N. Reliability analysis of shock absorber mounts for mining vehicles based on Monte Carlo method [J/OL]. Metal Mining, 2021: 1-9.
 Zhang H Q. Using Monte Carlo method to calculate Portfolio VaR -- Taking harvest emerging industry stock (000751) as an example [J]. Modern marketing (Business Edition), 2022, (03): 91-93.
 Tian Gang, Wang Jin, Dong Yang, Zhu Jun. A strategy for scheduling communication resources of radar network based on greedy algorithm [J]. Modern Radar, 2021, 43(04): 46-51.
 Qu H Q, He X P, (2021). Research on GDP prediction model of Hubei Province Based on time series analysis Journal of Hubei University of Economics (Humanities and Social Sciences), (09): 37-39
 Zhang L. Research and system implementation of analysis and prediction algorithm based on time series ARIMA model. [D]. Jiangsu University, 2008.