Research on enterprise raw material ordering scheme based on dynamic programming

Yuanmeng Song; He Yan; Peilin Liu

doi:10.1117/12.2626702

16 December 2021 Research on enterprise raw material ordering scheme based on dynamic programming

Yuanmeng Song, He Yan, Peilin Liu

Proceedings Volume 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021); 121531C (2021) https://doi.org/10.1117/12.2626702
Event: International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 2021, Sanya, China

Abstract

This paper studies the process of raw material ordering and transportation based on comprehensive evaluation and objective programming model. The VIKOR model based on entropy weight method was established to quantitatively evaluate the supply characteristics of suppliers, and fuzzy mathematics comprehensive evaluation was introduced to improve the evaluation system, so as to determine the 50 most important suppliers. Taking the minimum number of suppliers and the minimum inventory fluctuation as the objective function, a dual-objective dynamic programming model was established, which was converted into a single objective programming based on the golden section idea. According to the evaluation score, the greedy algorithm is used to get the minimum selection number of suppliers. Two single objective programming models with minimum total cost and minimum consumption as objective function are established to determine the most economical ordering scheme in the next cycle. Finally, error analysis is carried out to verify the rationality and accuracy of the model.

Citation Download Citation

Yuanmeng Song, He Yan, and Peilin Liu "Research on enterprise raw material ordering scheme based on dynamic programming", Proc. SPIE 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 121531C (16 December 2021); https://doi.org/10.1117/12.2626702

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