Multi period network design of fourth party logistics based on resilience

被引:0
作者
机构
[1] College of Information Science and Engineering, Northeastern University, Shenyang
[2] State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang
来源
Huang, Min | 2019年 / CIMS卷 / 20期
基金
中国国家自然科学基金;
关键词
Fourth party logistics; Harmony search; Multi-period network design; Resilience;
D O I
10.13196/j.cims.2014.08.lirui.2019.10.20140824
中图分类号
学科分类号
摘要
To make fourth Party Logistics (4PL) systems operate securely and efficiently in dynamic environment, 4PL multi-period resilient network design problem was studied, and its optimization model was formulated, which minimized the total costs under the condition of satisfying the certain resilience level in each period. According to the characteristic of the model, a global best harmony search algorithm with neighborhood search was proposed. Severalexperiments were presented to test the rationality of proposed model as well as the effectiveness of proposed algorithm.
引用
收藏
页码:2019 / 2028
页数:9
相关论文
共 27 条
  • [1] Gattorna J., Strategic Supply Chain Alignment: Best Practice in Supply Chain Management, pp. 425-445, (1998)
  • [2] Li X., Ying W., Liu W., Et al., Research on architecture and operation of 4PL, Computer Integrated Manufacturing Systems, 10, 10, pp. 1233-1237, (2004)
  • [3] Huang M., Tong W., Wang Q., Et al., Immune algorithm based routing optimization in fourth party logistics, Proceedings of IEEE Congress on Evolutionary Computation, pp. 3029-3034, (2006)
  • [4] Chen K.H., Su C.T., Activity assigning of fourth party logistics by particle swarm optimization based preemptive fuzzy integer goal programming, Expert System with Application, 37, 5, pp. 3630-3637, (2010)
  • [5] Wang Y., Zhao H., Li Y., Tabu search algorithm for optimization model of integration of job of 4th party logistics, Journal of Systems Engineering, 21, 4, pp. 143-149, (2006)
  • [6] Peng P., Snyder L.V., Lim A., Et al., Reliable logistics networks design with facility disruptions, Transportation Research: Part B, 45, 8, pp. 1190-1211, (2011)
  • [7] Meepetchdee Y., Shah N., Logistical network design with robustness and complexity considerations, International Journal of Physical Distribution & Logistics Management, 37, 3, pp. 201-222, (2007)
  • [8] Klibi W., Martel A., Guitouni A., The design of robust value creating supply chain networks: a critical review, European Journal of Operational Research, 203, 2, pp. 283-293, (2010)
  • [9] Hollnagel E., Woods D.D., Leveson N., Resilience Engineering: Concepts and Precepts, pp. 35-41, (2006)
  • [10] Madni A.M., Jackson S., Towards a conceptual framework for resilience engineering, IEEE System Journal, 3, 2, pp. 181-191, (2009)