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- Publisher Website: 10.1080/00207543.2019.1680898
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Article: Reducing the total tardiness by Seru production: model, exact and cooperative coevolution solutions
Title | Reducing the total tardiness by Seru production: model, exact and cooperative coevolution solutions |
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Authors | |
Keywords | cooperative coevolution due date exact algorithm manufacturing tardiness |
Issue Date | 2019 |
Publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp |
Citation | International Journal of Production Research, 2019, v. 58 n. 21, p. 6441-6452 How to Cite? |
Abstract | Seru Production is widely used in the Japanese electronics industry owing to its benefits. The total tardiness can be significantly reduced by Seru Production. We focus on investigating the fundamental principle of the total tardiness reduction brought by Seru Production. We formulate the seru system operation with minimising the total tardiness and analyse the solution space. We clarify that the model is non-linear. To exactly obtain the optimal solution of the non-linear model, we decompose the non-linear model into seru formation and seru scheduling which is formulated as a linear model. Thus, the small-scale seru system operation with minimising the total tardiness is solved exactly. For the large-scale problems, we propose a cooperative coevolution algorithm, where two evolution algorithms deal with the seru formation and seru scheduling. In the coevolution process, the two algorithms perform cooperation to seek the better solutions of seru system operation with minimising the total tardiness. Extensive experiments are tested to investigate how Seru Production reduces the total tardiness. |
Persistent Identifier | http://hdl.handle.net/10722/287151 |
ISSN | 2023 Impact Factor: 7.0 2023 SCImago Journal Rankings: 2.668 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Sun, W | - |
dc.contributor.author | Yu, Y | - |
dc.contributor.author | Lou, Q | - |
dc.contributor.author | Wang, J | - |
dc.contributor.author | Guan, Y | - |
dc.date.accessioned | 2020-09-22T02:56:33Z | - |
dc.date.available | 2020-09-22T02:56:33Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | International Journal of Production Research, 2019, v. 58 n. 21, p. 6441-6452 | - |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.uri | http://hdl.handle.net/10722/287151 | - |
dc.description.abstract | Seru Production is widely used in the Japanese electronics industry owing to its benefits. The total tardiness can be significantly reduced by Seru Production. We focus on investigating the fundamental principle of the total tardiness reduction brought by Seru Production. We formulate the seru system operation with minimising the total tardiness and analyse the solution space. We clarify that the model is non-linear. To exactly obtain the optimal solution of the non-linear model, we decompose the non-linear model into seru formation and seru scheduling which is formulated as a linear model. Thus, the small-scale seru system operation with minimising the total tardiness is solved exactly. For the large-scale problems, we propose a cooperative coevolution algorithm, where two evolution algorithms deal with the seru formation and seru scheduling. In the coevolution process, the two algorithms perform cooperation to seek the better solutions of seru system operation with minimising the total tardiness. Extensive experiments are tested to investigate how Seru Production reduces the total tardiness. | - |
dc.language | eng | - |
dc.publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp | - |
dc.relation.ispartof | International Journal of Production Research | - |
dc.rights | AOM/Preprint Before Accepted: his article has been accepted for publication in [JOURNAL TITLE], published by Taylor & Francis. AOM/Preprint After Accepted: This is an [original manuscript / preprint] of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI]. Accepted Manuscript (AM) i.e. Postprint This is an Accepted Manuscript of an article published by Taylor & Francis in [JOURNAL TITLE] on [date of publication], available online: http://www.tandfonline.com/[Article DOI]. | - |
dc.subject | cooperative coevolution | - |
dc.subject | due date | - |
dc.subject | exact algorithm | - |
dc.subject | manufacturing | - |
dc.subject | tardiness | - |
dc.title | Reducing the total tardiness by Seru production: model, exact and cooperative coevolution solutions | - |
dc.type | Article | - |
dc.identifier.email | Wang, J: jwwang@hku.hk | - |
dc.identifier.authority | Wang, J=rp01888 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/00207543.2019.1680898 | - |
dc.identifier.scopus | eid_2-s2.0-85074703664 | - |
dc.identifier.hkuros | 314575 | - |
dc.identifier.volume | 58 | - |
dc.identifier.issue | 21 | - |
dc.identifier.spage | 6441 | - |
dc.identifier.epage | 6452 | - |
dc.identifier.isi | WOS:000493224300001 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0020-7543 | - |