Simulation-Based Genetic Algorithm for Cross-Docking Center Operation Optimization under Supply Disruptions


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Practical performance optimization of a cross-docking center has been rare in the literature so far. The measures representing operation efficiency are average inventory level and transportation cost rate, while average backorder level represents the customer service level. In this paper, a simulation optimization problem is considered and a solution framework has been developed by integrating simulation, genetic algorithm (GA) and smart computing budget allocation (SCBA) to find an optimized solution. Moreover, supply disruptions are considered in the simulation model. This problem has huge search space even for medium-sized problem scenarios. To address this difficulty, the framework employs simulation to estimate the performance measures, GA to search for better design and SCBA to efficiently allocate the simulation budget.



Advanced Materials Research (Volumes 201-203)

Edited by:

Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang






Y. F. Wu "Simulation-Based Genetic Algorithm for Cross-Docking Center Operation Optimization under Supply Disruptions", Advanced Materials Research, Vols. 201-203, pp. 1103-1106, 2011

Online since:

February 2011





[1] G. Stalk, P. Evans and L.E. Shulman, Competing on capabilities: the new role of corporate strategy, Harvard business review, 70(2), 57-69, (1992).

[2] G. Forger, UPS starts world's premiere cross-docking operation, Modern Material Handling, 36-38, (1995).

[3] C. E. Witt, Crossdocking: Concepts demand choice, Material Handling Engineering, 53(7), 44-49, (1998).

[4] J.J. Bartholdi III and K.R. Gue, The Best Shape for a Crossdock, Transportation Science, 38(2), 235-244, (2004).

DOI: 10.1287/trsc.1030.0077

[5] M.A. Waller, C.R. Cassady and J. Ozment, Impact of cross-docking on inventory in a decentralized retail supply chain, Transportation Research Part E, 42, 359-382, (2006).

DOI: 10.1016/j.tre.2005.01.002

[6] W. Yu and P.J. Egbelu, Scheduling of inbound and outbound trucks in cross docking systems with temporary storage, European Journal of Operational Research, 184, 377–396, (2008).

DOI: 10.1016/j.ejor.2006.10.047

[7] N. Boysen, M. Fliedner and A. Scholl, Scheduling inbound and outbound trucks at cross docking terminals, OR Spectrum, 32(1), 135-161, (2009).

DOI: 10.1007/s00291-008-0139-2

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