系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2007年
2期
118~122
,共null页
不确定规划 供应链网络 模糊模拟 随机模拟 遗传算法
不確定規劃 供應鏈網絡 模糊模擬 隨機模擬 遺傳算法
불학정규화 공응련망락 모호모의 수궤모의 유전산법
uncertain programming; supply chain network; stochastic simulation; fuzzy simulation; genetic algorithm
利用不确定规划，根据决策者的要求，对供应链网络设计问题进行建模．并采用由随机模拟、模糊模拟以及遗传算法相结合的混合智能算法来求解，最后给出了生活中的实际例子来说明模型和算法的正确性和高效性．
利用不確定規劃，根據決策者的要求，對供應鏈網絡設計問題進行建模．併採用由隨機模擬、模糊模擬以及遺傳算法相結閤的混閤智能算法來求解，最後給齣瞭生活中的實際例子來說明模型和算法的正確性和高效性．
이용불학정규화，근거결책자적요구，대공응련망락설계문제진행건모．병채용유수궤모의、모호모의이급유전산법상결합적혼합지능산법래구해，최후급출료생활중적실제례자래설명모형화산법적정학성화고효성．
This paper designs supply chain network in uncertain environment, in which the demands of customers are assumed to be random variables, and the operation costs are considered as fuzzy numbers. We formulate model by fuzzy programming and develop a genetic algorithm based on stochastic and fuzzy simulation to solve the proposed model. Moreover, some numerical examples are presented to illustrate the effectiveness of model and solution algorithm.
