A Chance Constrained Goal Programming Model for Location-Routing Problem Under Uncertainty

被引：0
|
作者：
Liu, Yang [1 ]
Yuan, Yun [1 ]
Chen, Yi [1 ]
Ruan, Lingxiao [1 ]
Pang, Hao [1 ]
机构：
[1] Nanjing Agr Univ, Coll Engn, Nanjing 210031, Jiangsu, Peoples R China
来源：
LISS 2013 | 2015年
关键词：
Location routing; Logistics; Stochastic programming; Bi-level genetic algorithm; FACILITY LOCATION; ALGORITHM;
D O I：
10.1007/978-3-642-40660-7_15
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents a new approach to model location-routing problem. Taking into account the priority level of decision making and random nature of costs and travel time, we extend the location-routing problem with distance constraints (LRP-DC) by adopting chance constrained goal programming approach to solve the uncertainty and to express the different levels of decisions. Meanwhile, a two-stage genetic algorithm incorporated with stochastic simulation is employed to solve the model with increased accuracy and efficiency. Computational experience is presented to illustrate the effectiveness of the solution procedure.
引用
收藏
页码：105 / 116
页数：12
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