A Stochastic Model for a Two-Level Disassembly Lot-Sizing Problem Under Random Lead Time
Abstract
The purpose of this research is to propose an optimization method for the stochastic disassembly lot-sizing problem under uncertainty of lead time. One type of end-of-life (EoL) product is disassembled to satisfy a dynamic and known demand of items over a planning horizon. The tactical problem is considered as a random optimization problem in order to minimize the expected total cost. A sample average approximation (SAA) approach, is developed to model the studied random optimization problem and minimize the average total cost. The effectiveness of the solution approach has successfully tested and proved.
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