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July 7, 2025Highlights in Business Economics and Management

Research On Enterprise Production Decision Based on Monte Carlo Simulation and Dynamic Programming Algorithm

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Authors

ZHZ.B. HuangGuangdong University of TechnologyMYMengxi YangWZWei ZhaoGuangdong University of Technology

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Implication

This framework combines monte carlo simulation and dynamic programming to improve production decisions amid uncertainty.

Key Points

  • The proposed method reduces computational complexity in production decision-making, balancing costs effectively.
  • Experiments indicate this framework enhances adaptability to market uncertainties, improving the overall production process.
  • By integrating multi-stage dynamic programming, monte carlo simulation, and greedy algorithms, resource waste is minimized.
  • This approach provides a precise decision tool for managing costs and maximizing profits in dynamic environments.

Cite This Study

Huang et al. (2025) studied this question.

synapsesocial.com/papers/68af6d967567bf4f94feb347https://doi.org/10.54097/1y2m5z30
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