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http://hdl.handle.net/11375/5589
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DC Field | Value | Language |
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dc.contributor.author | Chen, Jiang | en_US |
dc.contributor.author | Steiner, George | en_US |
dc.contributor.author | McMaster University, Michael G. DeGroote School of Business | en_US |
dc.date.accessioned | 2014-06-17T20:41:05Z | - |
dc.date.available | 2014-06-17T20:41:05Z | - |
dc.date.created | 2013-12-23 | en_US |
dc.date.issued | 1995-01 | en_US |
dc.identifier.other | dsb/48 | en_US |
dc.identifier.other | 1047 | en_US |
dc.identifier.other | 4944068 | en_US |
dc.identifier.uri | http://hdl.handle.net/11375/5589 | - |
dc.description | <p>33, 3 leaves. ; Includes bibliographical references (leaves 31-33). ; "January, 1995.";</p> <p>This research was supported in part by the Natural Sciences and Engineering Research Council of Canada under Grant No. A1798.</p> | en_US |
dc.description.abstract | <p>Lot streaming is the process of splitting a job or lot to allow overlapping between successive operations in a multistage production system. This use of transfer lots usually results in a shorter makespan for the corresponding schedule. In this paper, we study the structural properties of schedules which minimize the makespan for a single job with detached setup times in a flow shop. Although the structure of the optimal schedules is more complex than in the case with no setups [6], it is possible to find the optimal solution with <em>s</em> sublots in<em> O</em>(log <em>s</em>) time for the three-machine case</p> | en_US |
dc.relation.ispartofseries | Research and working paper series (Michael G. DeGroote School of Business) | en_US |
dc.relation.ispartofseries | no. 399 | en_US |
dc.subject | Scheduling | en_US |
dc.subject | Flow shop | en_US |
dc.subject | Lot streaming | en_US |
dc.subject | Business | en_US |
dc.subject | Business | en_US |
dc.subject.lcc | Economic lot size > Mathematical models Production scheduling > Mathematical models | en_US |
dc.title | Lot streaming with detached setups in three-machine flow shops | en_US |
dc.type | article | en_US |
Appears in Collections: | DeGroote School of Business Working Paper Series |
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fulltext.pdf | 763.56 kB | Adobe PDF | View/Open |
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