Please use this identifier to cite or link to this item:
|Title:||The design of sustainable logistics network under uncertainty|
|Authors:||Lee, D.-H. |
Sample average approximation
|Citation:||Lee, D.-H., Dong, M., Bian, W. (2010-11). The design of sustainable logistics network under uncertainty. International Journal of Production Economics 128 (1) : 159-166. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ijpe.2010.06.009|
|Abstract:||The design of sustainable logistics network has attracted growing attention with the stringent pressures from environmental and social requirements. This paper proposes a stochastic programming based approach to account for the design of sustainable logistics network under uncertainty. A solution approach integrating the sample average approximation scheme with an importance sampling strategy is developed. A case study involving a large-scale sustainable logistics network in Asia Pacific region is presented to demonstrate the significance of the developed stochastic model and the efficiency of the proposed solution approach. © 2010 Elsevier B.V.All rights reserved.|
|Source Title:||International Journal of Production Economics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 25, 2018
WEB OF SCIENCETM
checked on Sep 17, 2018
checked on Aug 17, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.