A New Heuristic for PCBs Grouping Problem with Setup Times

dc.contributor.author Jiang-Ping Huang
dc.contributor.author Quan-Ke Pan
dc.contributor.author M. Fatih Tasgetiren
dc.contributor.author Ying-Ying Huang
dc.contributor.editor J Fu
dc.contributor.editor J Sun
dc.coverage.spatial 39th Chinese Control Conference (CCC)
dc.date.accessioned 2025-10-06T16:21:36Z
dc.date.issued 2020
dc.description.abstract In this paper we present a new heuristic to divide a batch of printed circuit boards (PCBs) into subgroups to save the setup time for loading and unloading components from the assembly machine. In the heuristic we propose several concepts about similarity to make the number of groups as few as possible. To better show the relationship between the PCB types and the component types of a group we introduce a new solution representation. In addition considering the characteristics of the PCBs grouping problem (PGP) a method for pairing PCBs is presented. With the PCB pairs an iterative scheme is applied to start a new group. We try the rest PCBs one by one according to the similarity between it and the PCB group. Finally the experiments and comparisons show the good performance of the proposed heuristic.
dc.identifier.isbn 978-988-15639-0-3
dc.identifier.issn 2161-2927
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/6957
dc.language.iso English
dc.publisher IEEE
dc.relation.ispartof 39th Chinese Control Conference (CCC)
dc.source PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE
dc.subject Heuristic, PCBs, Setup time, Grouping, Similarity
dc.subject REDUCTION
dc.title A New Heuristic for PCBs Grouping Problem with Setup Times
dc.type Conference Object
dspace.entity.type Publication
gdc.coar.type text::conference output
gdc.index.type WoS
oaire.citation.endPage 1500
oaire.citation.startPage 1495
person.identifier.orcid Tasgetiren- M. Fatih/0000-0001-8625-3671, Pan- QUAN-KE/0000-0002-5022-7946, Tasgetiren- Mehmet Fatih/0000-0002-5716-575X, Huang- Jiang-Ping/0000-0001-9712-7208,
project.funder.name National Natural Science Foundation of China [61973203]
relation.isOrgUnitOfPublication ac5ddece-c76d-476d-ab30-e4d3029dee37
relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

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