Paper
28 July 2023 Ordering and transportation of raw materials based on multi objective programming model
Chunyan Liu, Chuanqiang Yang
Author Affiliations +
Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127561T (2023) https://doi.org/10.1117/12.2686025
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China
Abstract
In order to formulate high-quality and reliable supplier schemes in the enterprise's raw material ordering, according to the order and supply data of 402 raw material suppliers of an enterprise in recent five years, we have determined five indicators, including average supply quantity, supply times, supply qualification rate, average satisfaction rate and maximum capacity of suppliers. On this basis, a quantitative index evaluation model based on principal component analysis and "S" curve is established, Finally, 50 most important suppliers were selected. Then, taking 24 week ordering cost, minimum transport loss of forwarders and minimum suppliers as objective functions, a multi-objective programming model is established, we use Heuristics algorithm to solve the problem and determine the ordering and transshipment scheme. Finally, we use the method of comparative analysis to obtain that the effect of our scheme can stabilize the production capacity of the enterprise while reducing the cost of the enterprise.
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Chunyan Liu and Chuanqiang Yang "Ordering and transportation of raw materials based on multi objective programming model", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127561T (28 July 2023); https://doi.org/10.1117/12.2686025
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KEYWORDS
Raw materials

Transportation

Computer programming

Principal component analysis

Data modeling

Reflection

Reliability

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