摘要
针对企业原材料供应商的选择评价及原材料订购方案,综合运用了层次分析法、TOPSIS法、遗传算法等方法,根据供货稳定性、供应量、采购成本三大指标分别构建了AHP-TOPSIS模型、遗传算法模型,运用MATLAB、EXCEL等软件编程求解,为该制造业企业选取了50家重要供应商及制定了未来24周的订购方案;同时对提升原材料供应商的可持续盈利能力提出建议.
Aiming at the selection and evaluation of raw material suppliers and the raw material ordering plan of the enterprise,AHP-TOPSIS is constructed according to the three indicators of supply stability,supply volume,and purchase cost by comprehensively using analytic hierarchy process,TOPSIS method,genetic algorithm and other methods.Model,genetic algorithm model,using MATLAB,EXCEL and other software programming solutions,selected 50 important suppliers for the manufacturing company and formulated an order plan for the next 24 weeks;at the same time,it made suggestions for improving the sustainable profitability of raw material suppliers.
作者
鲍文静
卢文鹏
甘云龙
朱家明
Bao Wenjing;Lu Wenpeng;Gan Yunlong;Zhu Jiaming(Anhui University of Finance and Economics)
出处
《哈尔滨师范大学自然科学学报》
CAS
2022年第2期1-7,共7页
Natural Science Journal of Harbin Normal University
基金
国家自然科学基金项目(71934001)
安徽财经大学科研项目(acjyyb2020011)
安徽省精品课程“数学建模”中期成果
