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Lifecycle product inventory optimization: a hybrid approach with Grey-Wolf and Ant-Colony methods

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Bibliographic Details
Published in:Journal of Remanufacturing
Format: Online Article RSS Article
Published: 2024
Subjects:
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container_title Journal of Remanufacturing
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:12689
institution FRELIP
journal_source_facet Journal of Remanufacturing
publishDate 2024
publishDateSort 2024
record_format rss_article
spellingShingle Lifecycle product inventory optimization: a hybrid approach with Grey-Wolf and Ant-Colony methods
Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
subject_facet Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
title Lifecycle product inventory optimization: a hybrid approach with Grey-Wolf and Ant-Colony methods
title_auth Lifecycle product inventory optimization: a hybrid approach with Grey-Wolf and Ant-Colony methods
title_full Lifecycle product inventory optimization: a hybrid approach with Grey-Wolf and Ant-Colony methods
title_fullStr Lifecycle product inventory optimization: a hybrid approach with Grey-Wolf and Ant-Colony methods
title_full_unstemmed Lifecycle product inventory optimization: a hybrid approach with Grey-Wolf and Ant-Colony methods
title_short Lifecycle product inventory optimization: a hybrid approach with Grey-Wolf and Ant-Colony methods
title_sort lifecycle product inventory optimization: a hybrid approach with grey-wolf and ant-colony methods
topic Manufacturing and Technology
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s13243-024-00142-7