This paper makes reasonable assumptions about the ordering and transportation of materials in production enterprises, uses the relevant knowledge of statistics and operational research to establish a model, and reasonably formulates the optimization strategy of raw material ordering and transportation. Firstly, the influence model of fuzzy evaluation of enterprise production is established. This paper makes a comprehensive evaluation of the six factors affecting the production of the enterprise, evaluates the influence of the importance of the production of the enterprise, and then assigns the weight of the influencing factors, so as to establish a comprehensive evaluation model, according to which the strength of the supplier can be deduced. The supply intensity index and the types of suppliers evaluate the supply characteristics of suppliers. Finally, the weight is (0.3508, 0.3304, 0.3188). Then this paper first establishes the optimal ordering scheme model of modular multi-objective optimization, analyzes the constraints, establishes a set of linear programming equations to solve it, and adjusts it according to the actual situation. The optimal ordering scheme can be obtained.

Lifeng Chen, Xin Chen, Boxi Wei, Xu Zhang. Research on Enterprise ordering and Transportation Model based on Fuzzy Comprehensive Evaluation and Multi-objective Optimization. Academic Journal of Business & Management (2021) Vol. 3, Issue 9: 9-13. https://doi.org/10.25236/AJBM.2021.030903.

[1] Liu Tonghai. Reliability evaluation of mine ventilation system based on grey comprehensive evaluation model [J]. Energy and Energy Saving, 2021 (01): 195,197.

[2] Fang Shaomei. Analysis of excellent cases of Mathematical Modeling Competition [M]. Beijing: science Press, 2015.

[3] Du Jianwei, Wang Ruopeng. Basic case of mathematical modeling [M]. Beijing: chemical Industry Press, 2009.

[4] Wang Jue. Joint production inventory model of suppliers and sellers with raw material orders [J]. Journal of Anhui Institute of Architectural Technology (Natural Science Edition), 2010, 18 (05): 90-96.

[5] Ma Xiaoshu, Li Yulong, Yan Lang. A comparative review of traditional multi-objective optimization methods and multi-objective genetic algorithms [J]. Electric Transmission Automation, 2010, 32 (03): 48-50, 53.

[6] Xie Jiaping, Chen Rongqiu. 0-1 goal programming model for product recovery strategy optimization [J]. Theory and practice of Systems Engineering, 2004 (03): 52-57.

[7] Lin Bailiang, Zhu Songnian, Chen Zhusheng, Peng Hui. 0-1 programming model of traffic flow path optimization on road network and its reasonable path set generation algorithm [J]. Journal of Railways, 1997 (01): 9-14.

[8] Wang Jiejie. Talking about the control of purchasing risk in manufacturing enterprises [J]. Management and Technology of small and medium-sized Enterprises (Mid-term issue), 2021 (10): 49-51.

[9] Liu Tonghai. Reliability evaluation of mine ventilation system based on grey comprehensive evaluation model [J]. Energy and Energy Saving, 2021 (01): 195,197.

[10] Li Xuelui, Hou Xinggang, Yangmei, he Jiaxing, Wang Yiyan, Guo Haoyue, Li Xingying, Wang Luyao. Industrial design scheme optimization decision-making model based on multi-level grey comprehensive evaluation method and its application [J]. Acta Cartographica Sinica, 2021, 42 (04): 670-679.