Academic Journal of Business & Management, 2024, 6(4); doi: 10.25236/AJBM.2024.060435.
Ziwei Wang1, Manxue Zhang2, Yanjiao Zhang3
1College of Computer and Artificial Intelligence, Business and Technology University, Beijing, China
2Business College, Business and Technology University, Beijing, China
3Business College, Business and Technology University, Beijing, China
The operation of an enterprise comes from the continuous supply of raw materials. In real life, the enterprise will cooperate with many suppliers of raw materials, and the suppliers will also choose the forwarders with low consumption and long-term cooperation among many forwarders for transshipment. For an enterprise, the production of products can be completed not only by certain materials, but also by a variety of materials, thus increasing the scope of the enterprise's selection. That is to say, the sufficiency of materials in a unit time should be considered, as well as the amount spent on purchasing raw materials, transshipment fees and storage fees. In this paper, the purchase and transportation of raw materials of enterprises are planned to maximize economic benefits, and the increase of enterprise capacity is predicted through data. The purchase and transportation of raw materials of enterprises are planned and arranged reasonably. Whether the delivery error is too large. Whether the cooperation is repeated. For the first indicator, calculate the variance of raw materials provided by all suppliers. The smaller the variance, the more stable the supply. For the selection of the second indicator, the acceptance range of error is set as 0.95-1.05, and the error proportion is obtained by calculating the ratio of supply quantity to order quantity. For the selection of the fourth indicator, by calculating the sum of weekly demand for ABC materials, it is used to remove the supply of each supplier to the only material. For the selection of the fifth indicator, calculate its total supply in five years to avoid some suppliers. Although they provide it every time, the number is very small. Then, the data are normalized, and the TOPSIS model is used to assign weights, so that the top 50 scores are finally obtained.
TOPSIS model, Linear programming, 0-1 model
Ziwei Wang, Manxue Zhang, Yanjiao Zhang. Research on Raw Material Ordering and Transportation Planning Based on Constraints. Academic Journal of Business & Management (2024) Vol. 6, Issue 4: 240-246. https://doi.org/10.25236/AJBM.2024.060435.
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