A lagrangean relaxation approach for a two-stage capacitated facility location problem with choice of depot size

被引:0
作者
Wu, Tingying [1 ,2 ]
Chu, Feng [2 ]
Yang, Zhen [1 ]
Zhou, Zhili [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Management, 28 Xianning West Rd, Xian, Peoples R China
[2] Univ Evry Val dEssonne, Lab IBISC, F-91020 Evry, France
来源
2015 IEEE 12th International Conference on Networking, Sensing and Control (ICNSC) | 2015年
关键词
Facility location; Heuristic; Lagrangean relaxation; SINGLE-SOURCE; NEIGHBORHOOD SEARCH; HEURISTICS; 2-ECHELON; ALGORITHM; COSTS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we study a two-stage capacitated facility location problem with choice of depot size (TSCFLP-CD). Given a set of potential sites for plants in the first echelon, a set of potential sites for capacitated depots associated each with several possible sizes in the second echelon and a set of customers with given demands, the TSCFLP-CD aims to determine the locations of plants and depots, the size of depots, the product flows from plants to depots, and then to the customers under the single-sourcing constraints, so that all customers' demands are satisfied with the minimum sum of the fixed opening costs of facilities, the product handling costs and the logistics costs. A Lagrangean relaxation approach is proposed to achieve a lower bound and an upper bound of the TSCFLP-CD. Numerical experiments on randomly generated instances demonstrated the effectiveness and efficiency of the proposed Lagrangean relaxation approach with the average gap of upper bound over lower bound around 1% in a reasonable time.
引用
收藏
页码:39 / 44
页数:6
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