Multi-objective optimization of stochastic disassembly line balancing with station paralleling

Aydemir-Karadag, Ayyuce; Türkbey, Orhan

doi:10.1016/j.cie.2013.03.014

Cited by 127 publications

(36 citation statements)

References 44 publications

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“…Altekin and Akkan [14] proposed a predictive model of task failures for a disassembly line in order to recover the loss of performance when task failures occurred. Aydemir-Karadag and Turkbey [15] established a mathematical model for a parallel disassembly line based on the AND/OR Graph. Kalayci et al [16] discussed the influence on the removal order of hazardous components and presented a mathematical formula relevant to a sequence-dependent disassembly line.…”

Section: Disassembly Line Evaluation and Optimizationmentioning

confidence: 99%

An Energy-Saving Optimization Method of Dynamic Scheduling for Disassembly Line

et al. 2018

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Abstract:Concerns have been increasing regarding the environmental sustainability of disassembly activities that take place in various recovery operations at end of life stage of products, and subsequently, disassembly activities have been gaining increased exposure. The disassembly line is a good choice for automated disassembly of end-of-life products. Although interest in addressing energy saving in manufacturing is rising, the study of incorporating energy consumption reduction and disassembly efficiency improvement into disassembly line balancing is still limited. The analysis, design, and balanced decision-making for disassembly lines are urgently needed in order to make the disassembly line as energy-saving as possible. In this paper, an energy-saving optimization method, which was used in scheduling workstation selection and the disassembly sequence for the disassembly line, is proposed. Energy consumption of each stage of the disassembling process was analyzed and modeled. Then, a mathematical model of the disassembly line balancing problem with energy saving considerations was formulated and the objective of energy consumption was integrated into the objectives of cost and working load in order to balance a disassembly line. Optimal solutions for the disassembly line balancing problem with an energy saving consideration were obtained by using an artificial bee colony algorithm, which was a feasible way of minimizing workstations, and ensuring similar working load, as well as minimizing energy consumption. Finally, a case study of disassembly line balancing for a typical driving system is presented to illustrate the proposed method.

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Section: Disassembly Line Evaluation and Optimizationmentioning

confidence: 99%

An Energy-Saving Optimization Method of Dynamic Scheduling for Disassembly Line

et al. 2018

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“…La quasi-totalité des papiers s'intéressent aux incertitudes des durées opératoires des tâches de désassem-blage. Nous pouvons citer Turowski et Morgan (2005) ; Agrawal et Tiwari (2006) ; Aydemir-Karadag et Turkbey (2013). En particulier, les travaux dans Bentaha et al (2013a ;2013b ;2013c ;2013d ;2013e) ;Bentaha, Battaïa, Dolgui et Hu (2014) ;Bentaha, Battaïa et Dolgui (2014a ;2014b ;2014c) ; ; , proposent des modélisations et des approches de résolution exactes permettant la sélection de la meilleure alternative de désassemblage sous incertitudes des durées opératoires des tâches.…”

Section: Revue De Littératureunclassified

Prise en compte de l’état des produits pour la planification de leur désassemblage

Bentaha¹,

Voisin²,

Marangé³

et al. 2016

Journal Européen des Systèmes Automatisés

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RÉSUMÉ. Dans ce travail, nous présentons une première étude sur la planification du processus de désassemblage prenant en compte les états ou qualité des produits à désassembler. Nous proposons une approche qui permet de définir le meilleur niveau de désassemblage en fonction du coût occasionné pour désassembler le produit et de l'état du produit et/ou les états de ses composants et sous-assemblages. L'état d'un produit est modélisé par le concept de Potentiel d'Utilisation Résiduel (PUR) pris comme variable aléatoire normale connue et tronquée. Le problème est modélisé sous forme de programme stochastique. L'objectif est de maximiser le profit du processus de désassemblage, qui est la différence entre les revenus des composants et sous-assemblages et les coûts des tâches de désassemblage. Les revenus sont définis comme fonctions de PUR. L'approche développée est testée sur deux exemples de la littérature pour analyser l'impact de l'état d'un produit sur la planification de son processus de désassemblage.ABSTRACT. This paper adresses the problem of disassembly process planning taking into account the quality or states of the product to be disassembled. We propose an approach which is able to return the best disassembly level for a product considering the disassembly cost and the state of the product and/or the states of its subassemblies or components. The state of the product is represented using the concept of « Potentiel d'Utilisation Résiduel (PUR) » which is assumed to be a Gaussian random variable with known truncated distribution. A stochastic program is proposed to model the problem with the objective of maximizing the disassembly process profit. The latter is calculated as the difference between the positive revenue generated by recovered parts and the costs of the disassembly tasks. The revenue of a recovered part is a function of PUR. The developed approach is tested on two example case studies from the literature to analyze the impact of uncertain product quality on its disassembly process planning.MOTS-CLÉS : désassemblage, désassemblage partiel, qualité produit, incertitudes.

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“…Task times were assumed to be stochastic with known normal probability distributions. A binary bi-objective non linear program was developed in Aydemir- Karadag and Turkbey (2013) for DLBP under uncertainty of the task times. Task times were assumed to be independent random variables with known normal probability distributions.…”

Section: Disassembly Line Design and Balancingmentioning

confidence: 99%

Second order conic approximation for disassembly line design with joint probabilistic constraints

Bentaha

Battaïa

Dolgui

et al. 2015

European Journal of Operational Research

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a b s t r a c tA problem of profit oriented disassembly line design and balancing with possible partial disassembly and presence of hazardous parts is studied. The objective is to design a production line providing a maximal revenue with balanced workload. Task times are assumed to be random variables with known normal probability distributions. The cycle time constraints are to be jointly satisfied with at least a predetermined probability level. An AND/OR graph is used to model the precedence relationships among tasks. Several lower and upper-bounding schemes are developed using second order cone programming and convex piecewise linear approximation. To show the relevance and applicability of the proposed approach, a set of instances from the literature are solved to optimality.

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Multi-objective optimization of stochastic disassembly line balancing with station paralleling

Cited by 127 publications

References 44 publications

An Energy-Saving Optimization Method of Dynamic Scheduling for Disassembly Line

An Energy-Saving Optimization Method of Dynamic Scheduling for Disassembly Line

Prise en compte de l’état des produits pour la planification de leur désassemblage

Second order conic approximation for disassembly line design with joint probabilistic constraints

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