Uncertain programming model for designing multi-objective reverse logistics networks

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dc.contributor.authorXia, Hanbing
dc.contributor.authorChen, Zhiyuan
dc.contributor.authorMilisavljevic-Syed, Jelena
dc.contributor.authorSalonitis, Konstantinos
dc.date.accessioned2024-05-23T14:07:18Z
dc.date.available2024-05-23T14:07:18Z
dc.date.issued2024-05-20
dc.description.abstractGiven the contradiction between the rapid growth of products and the modest recovery rate of end-of-life products, there is a pressing need to understand the societal significance of establishing a reverse logistics network for end-of-life products. This research constructs an open-loop five-tier reverse logistic network model encompassing customers, centres for collection, disassembly and inspection, remanufacturing, and disposal. A multi-objective mixed-integer nonlinear programming model under uncertainty has been developed. Unlike previous research, this model accounts for surrounding residents' disutility of facilities while simultaneously minimizing economic costs and environmental impact. Besides, uncertainty theory is introduced in solving the proposed model. More specifically, the formulated model converts all uncertain variables into uncertain distributions by implementing the uncertain multi-objective programming method. Furthermore, a customised non-dominated sorting genetic algorithm III (NSGA-III) is proposed and is employed for the first time to address facility selection and recycling volume distribution within the network. The model is then validated using a real-life case study focusing on end-of-life vehicles in Changchun, China. This research could assist decision-makers in both governmental and private sectors in achieving a balanced approach to the interests of the economy, environment, and local communities comprehensively when designing reverse supply chains.en_UK
dc.identifier.citationXia H, Chen Z, Milisavljevic-Syed J, Salonitis K. (2024) Uncertain programming model for designing multi-objective reverse logistics networks. Cleaner Logistics and Supply Chain. Volume 11, June 2024, Article number 100155en_UK
dc.identifier.issn2772-3909
dc.identifier.urihttps://doi.org/10.1016/j.clscn.2024.100155
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21661
dc.language.isoen_UKen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectReverse logistics networken_UK
dc.subjectMulti-objective programmingen_UK
dc.subjectUncertainty theoryen_UK
dc.subjectEnd-of-life productsen_UK
dc.subjectNon-dominated sorting genetic algorithm IIIen_UK
dc.titleUncertain programming model for designing multi-objective reverse logistics networksen_UK
dc.typeArticleen_UK
dcterms.dateAccepted2024-05-12

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