Skip to Main content Skip to Navigation
Theses

Modélisation et optimisation de problème de planification de désassemblage dans un environnement incertain

Abstract : Our research proposes to model and optimize the disassembly lot-sizing problem. The contributions presented in this manuscript focus on disassembly planning in certain and uncertain context. We have considered three main models with their resolution approaches: (i) a deterministic multi-period modeling that deals with a multilevel product structure with a commonality of components that aims to maximize total profit. A Mixed Integer Linear Programming (MILP) model is proposed to optimally solve the problem, (ii) a single period stochastic model with a two-level disassembly system and a single type of end-of-life product under random refurbishing lead times. This model seeks to minimize the total expected cost, composed of inventory and backlog costs. A Newboy approach is proposed to solve the problem, and (iii) a multi-period stochastic model which deals with the uncertainty of refurbishing lead times when order crossover is considered. Stochastic Mixed Integer Linear Program, Monte Carlo simulation and scenario aggregation approaches are proposed to solve the proposed model. The performances of the proposed resolution approaches are presented by analyzing the optimization results on a set of randomly generated instances.
Complete list of metadata

https://tel.archives-ouvertes.fr/tel-03374194
Contributor : Abes Star :  Contact Connect in order to contact the contributor
Submitted on : Tuesday, October 12, 2021 - 1:02:07 AM
Last modification on : Wednesday, October 13, 2021 - 3:52:07 PM

File

2020IMTA0192_Slama-Ilhem.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-03374194, version 1

Citation

Ilhem Slama. Modélisation et optimisation de problème de planification de désassemblage dans un environnement incertain. Recherche opérationnelle [cs.RO]. Ecole nationale supérieure Mines-Télécom Atlantique; Université de Sfax (Tunisie). Faculté des Sciences économiques et de gestion, 2020. Français. ⟨NNT : 2020IMTA0192⟩. ⟨tel-03374194⟩

Share

Metrics

Record views

84

Files downloads

8