Approches d’optimisation pour un problème de planification de désassemblage sous incertitude des délais de désassemblage

Slama, Ilhem; Ben-Ammar, Oussama; Dolgui, Alexandre; Masmoudi, Faouzi

doi:10.21494/iste.op.2020.0578

Cited by 2 publications

(2 citation statements)

References 28 publications

(36 reference statements)

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“…In the framework of sustainability and sustainable development, the disassembly process has significant potential to reduce the use and waste of raw materials, increases the utilization of resources, pollution (Liu et al, 2019), (Slama et al, 2020) and to increase the recycling yield and purity for precious metals, critical metals and plastics (Vanegas et al, 2018a). In order to have a sustainable disassembly, the decision-making of this process should be sustainability oriented.…”

Section: Introductionmentioning

confidence: 99%

Decision Support Framework Using Knowledge Based Digital Twin for Sustainable Product Development and End of Life

et al. 2023

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In order to have a sustainable disassembly process, a successful decision-making based on reliable and up-to-date information should be made while taking into consideration sustainability indicators. In this context, The aim of this paper is to introduce a decision support system based on knowledge based and digital twin in order to help stakeholders to choose the most sustainable disassembly scenario .In this research, firstly, we presented the state of art of disassembly process, digital twin, knowledge based system and the merging of knowledge based system and digital twin for disassembly. Secondly, we presented the knowledge based digital twin (KBDTw) system framework for a sustainable disassembly process. Thirdly, a case study is presented about the use of KBDTw in the end-of-life of internet boxes. Finally, a conclusion and future work are conducted.

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Section: Introductionmentioning

confidence: 99%

Decision Support Framework Using Knowledge Based Digital Twin for Sustainable Product Development and End of Life

et al. 2023

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“…The Sample Average Approximation (SAA) approach is developed in order to minimise the ATC. Recently, [16] addressed a multi-period disassembly lot-sizing problem. The case of single product type and two-level disassembly system is studied.…”

Section: Introduction and Related Publicationsmentioning

confidence: 99%

A Model for a Multi-level Disassembly System Under Random Disassembly Lead Times

Slama¹,

Ben-Ammar²,

Dolgui³

2021

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

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This paper deals with the problem of planned disassembly lead time calculation in a Reverse Material Requirement Planning (RMRP) environment under uncertainty. A multi-level disassembly system with one type of end-of-life product and several types of components at each level is considered for the first time in the disassembly planning problem under uncertainty. The paper presents a mathematical model with corresponding proofs. The objective of the proposed model is to minimise the total expected cost which is composed of holding and backlogging costs. Some advantages of the proposed model and perspectives of this research are discussed.

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Approches d’optimisation pour un problème de planification de désassemblage sous incertitude des délais de désassemblage

Cited by 2 publications

References 28 publications

Decision Support Framework Using Knowledge Based Digital Twin for Sustainable Product Development and End of Life

Decision Support Framework Using Knowledge Based Digital Twin for Sustainable Product Development and End of Life

A Model for a Multi-level Disassembly System Under Random Disassembly Lead Times

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