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Ordering of Raw Materials in Manufacturing Enterprises Based on Objective Programming Model

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DOI: 10.23977/ieim.2022.050102 | Downloads: 0 | Views: 17


Yueying Wang 1, Yimeng An 2, Yaning Fan 3


1 School of Economics and Management, Hebei University of Technology, Tianjin, 300400
2 Electronic Information Engineering, Hebei University of Technology, Tianjin, 300400
3 Faculty of Science, Hebei University of Technology, Tianjin, 300400

Corresponding Author

Yueying Wang


According to the order quantity and supply quantity data of 402 enterprises for 240 weeks in 5 years, this paper first makes a quantitative analysis of the given data, observes the surface characteristics of the data, and further looks for relevant indicators. The improved AHP model is combined with TOPSIS method to modify and obtain the index weight. Based on this, 50 most important suppliers are selected. Then on this basis, we can solve the two problems: how many suppliers to choose and how to establish the most cost-effective ordering scheme. By establishing the 0-1 programming model, with the help of lingo, Python and other modeling tools, it is calculated that at least 24 suppliers should be selected to supply raw materials to meet the production demand under given objective functions and constraints. Finally, with the help of dynamic programming model and intelligent algorithm, the most economical weekly production and supply plan is given.


0-1 planning, Dynamic programming, LINGO, Python


Yueying Wang, Yimeng An, Yaning Fan, Ordering of Raw Materials in Manufacturing Enterprises Based on Objective Programming Model. Industrial Engineering and Innovation Management (2022) Vol. 5: 5-9. DOI:


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