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|Title:||A stochastic approach for product recovery network design under uncertainty||Authors:||Dong, M.
Sample average approximation
|Issue Date:||2006||Citation:||Dong, M.,Lee, D.-H. (2006). A stochastic approach for product recovery network design under uncertainty. 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006 : 643-654. ScholarBank@NUS Repository.||Abstract:||The design of product recovery network has received growing attention since the past decades. Due to the high number of processing activities involved and the high variability in the value of the components, the high level of uncertainty is one of the important characteristics of such problem. This paper proposes a stochastic programming based approach by which a deterministic model for product recovery network design can be extended to explicitly account for the uncertainties. Since almost all the existing approaches for solving such problem are either restricted to deterministic situations or can only deal with a modest number of scenarios for the uncertain problem parameters, a solution approach integrating a recently proposed sampling method with an acceleration strategy is developed in this research. A computational study involving a large-scale product recovery network is presented to demonstrate the significance of the developed stochastic model as well as the efficiency of the proposed solution approach.||Source Title:||36th International Conference on Computers and Industrial Engineering, ICC and IE 2006||URI:||http://scholarbank.nus.edu.sg/handle/10635/74040|
|Appears in Collections:||Staff Publications|
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