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Scheduling to minimize mean tardiness and weighted mean tardiness in flowshop and flowline-based manufacturing cell

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cris.author.scopus-author-id7101695306
cris.author.scopus-author-id35568945600
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0001-6252-6217
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentIndian Institute of Technology, Madras
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcidd30f6df0-8c56-486e-9db0-eb0a3c3ba8ba
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.departmentd30f6df0-8c56-486e-9db0-eb0a3c3ba8ba
dc.contributor.authorParthasarathy, Srinivasaraghavan
dc.contributor.authorC Rajendran
dc.date.accessioned2023-09-20T05:49:26Z
dc.date.available2023-09-20T05:49:26Z
dc.date.issued01-04-1998
dc.description.abstractThe problem of scheduling in flowshop and flowline-based manufacturing cell (or simply, a cell) is considered with the objective of minimizing mean tardiness of jobs. A heuristic algorithm, based on the simulated annealing (SA) technique, is developed. We propose a method for obtaining a seed sequence. We then present two perturbation schemes, the Random Insertion Perturbation Scheme and the Curtailed Random Insertion Perturbation Scheme. The proposed SA algorithm with two schemes is evaluated against the existing heuristics that seek to minimize mean tardiness of jobs. The results of the computational evaluation reveal that the proposed SA algorithm with two schemes performs better than the existing heuristics. A similar performance is also observed in the cell scheduling problem. We have also evaluated the effectiveness of the SA algorithm in minimizing the weighted mean tardiness of jobs. © 1998 Elsevier Science Ltd. All rights reserved.
dc.identifier.doi10.1016/s0360-8352(97)00139-3
dc.identifier.issn3608352
dc.identifier.scopus2-s2.0-0032043112
dc.identifier.urihttps://apicris.irins.org/handle/IITM2023/56748
dc.relation.ispartofseriesComputers and Industrial Engineering
dc.sourceComputers and Industrial Engineering
dc.titleScheduling to minimize mean tardiness and weighted mean tardiness in flowshop and flowline-based manufacturing cell
dc.typeJournal
dspace.entity.typePublication
oaire.citation.endPage546
oaire.citation.issue02-Apr
oaire.citation.startPage531
oaire.citation.volume34
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationIndian Institute of Technology, Madras
person.affiliation.cityChennai
person.affiliation.id60025757
person.affiliation.nameIndian Institute of Technology Madras
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