透過您的圖書館登入
IP:216.73.216.209
  • 期刊

Research on Multi‐objective Optimization of Enterprise Raw Material Ordering and Transshipment Scheme

摘要


This paper analyzes the ordering and supply characteristics of suppliers, and gives the best raw material purchase and transfer scheme. In this paper, six indexes are extracted from the order quantity and purchase quantity data, a comprehensive evaluation system is established, and then entropy weight method is used to assign weights to each index. The importance of each supplier is quantified by TOPSIS method. Then, the supply risk degree and production demand were set up, and the optimal decision model was established by using the "0‐1" decision variables and taking the minimum sum of decision variables as the objective function. Taking the minimum cost and the inventory meeting the production demand of two weeks as the objective function, a multi‐objective optimization model was established to obtain the optimal purchase scheme. The transport optimization model is established with the minimum loss, and the transport scheme and the minimum loss are obtained.

參考文獻


Youxi Lei. Comprehensive evaluation research methods. [A]. Economic Perspectives. 2016,2.255-256.
Wang Ying. Research on supplier ordering strategy based on ANP and multi-objective model [D]. Harbin Institute of Technology,2013.
Jianming Yao, Guohua Zhou. Application of Soft Computing Method in Multi-round Game of Supplier Selection [J]. Chinese Journal of Management Science,2003.
Wang Bing, Xiaobin Xu, Hongtie Zheng. Procurement Management based on Supply Chain [J]. Commercial Research,2002,(10):64-66.
Xianfeng Tao. Supplier supply level evaluation -- Taking auto parts suppliers as an example [J] Logistics technology, 2016035 (004): 139-143.

延伸閱讀