Two-Stage Stochastic Program for Capacitated Disassembly Lot-Sizing Under Random Yield

EasyChair Preprint 11074

Abstract

This paper focuses on addressing the stochastic capacitated Disassembly Lot Sizing (DLS) problem, which aims to determine both the quantity of End-of-Life (EoL) products and the timing of their disassembly in an uncertain environment. The objective is to satisfy the demand for components and modules while considering random yield factors. Notably, this work introduces a two-stage stochastic integer programming model that addresses the complexities of a multi-level disassembly structure with dynamic demands for the different components at each level and the yield uncertainties. the objective of the proposed model is the minimise the holding, backlogging expected costs along the overcapacity and setup costs. Computational experiments are performed on several instances to evaluate the performance of the suggested model, and the benefits and implications of this research are highlighted.

Keyphrases: Disassembly lot-sizing, Yield Uncertainty, two-stage stochastic programming

@booklet{EasyChair:11074,
  author    = {Oumayma Laouni and Ilhem Slama and Faicel Hanien and Zied Jemai},
  title     = {Two-Stage Stochastic Program for Capacitated Disassembly Lot-Sizing Under Random Yield},
  howpublished = {EasyChair Preprint 11074},
  year      = {EasyChair, 2023}}