摘要
冷链物流配送过程中干扰事件发生后,初始配送方案将不再最优甚至根本不可行,此时如何生成副作用最小的调整方案,快速恢复配送的正常运行,是当前研究的难点.本文运用干扰管理思想,通过度量农产品新鲜度和配送服务时间,创建农产品冷链物流配送的受扰恢复模型;进而在目标节点选择策略、解空间缩减策略和算法融合策略的基础上,提出求解该模型的启发式算法.算例结果表明:与重调度方法相比,本文方法充分考虑了农产品的质量安全,生成的调整方案扰动更小,因此更为实用.
It is difficult to continue with the original plan when the disruption occurs in cold chain delivery of agricultural products.In this case,continuing with the original solution may not be optimal or practicable.First of all,by analyzing the effects of freshness and service time,a recovery model to measure the deviation for cold chain delivery of agricultural products is formed on the basis of disruption management.Then,a heuristic algorithm is demonstrated based on the strategy of next node selection,solution space reduction and combination with other heuristics.Finally,the comparison result proves that our approach is more practical than the existing rescheduling because the consumption safety is taken into consideration.
作者
丁秋雷
胡祥培
姜洋
阮俊虎
DING Qiulei;HU Xiangpei;JIANG Yang;RUAN Junhu(School of Business Administration,Dongbei University of Finance and Economics,Dalian 116025,China;Institute of Systems Engineering,Dalian University of Technology,Dalian 116023,China;School of Light Industry&Chemical Engineering,Dalian Polytechnic University,Dalian 116034,China;College of Economics and Management,Northwest A&F University,Yangling 712100,China)
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2021年第3期667-677,共11页
Systems Engineering-Theory & Practice
基金
国家社会科学基金重大项目(18ZDA058)。
关键词
冷链物流配送
农产品
受扰恢复
新鲜度
cold chain delivery
agricultural products
recovery model
freshness
