A Stochastic Model for a Two-Level Disassembly Lot-Sizing Problem Under Random Lead Time - Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems Access content directly
Conference Papers Year : 2020

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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hal-02923308 , version 1 (19-04-2022)

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Ilhem Slama, Oussama Ben-Ammar, Alexandre Dolgui, Faouzi Masmoudi. A Stochastic Model for a Two-Level Disassembly Lot-Sizing Problem Under Random Lead Time. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2020, Novi Sad, Serbia. pp.275-283, ⟨10.1007/978-3-030-57993-7_32⟩. ⟨hal-02923308⟩
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