Scheduling with job-splitting considering learning and the vital-few law

10.1016/j.cor.2017.02.011

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Bibliographic Details
Main Authors:	Liu, Changchun, Wang, Chenjie, Zhang, Zhi-hai, Zheng, Li
Other Authors:	INST OF OPERATIONS RESEARCH & ANALYTICS
Format:	Article
Language:	English
Published:	PERGAMON-ELSEVIER SCIENCE LTD 2019
Subjects:	Science & Technology Technology Computer Science, Interdisciplinary Applications Engineering, Industrial Operations Research & Management Science Computer Science Engineering Parallel machine scheduling Makespan Job splitting Learning effect Vital-few law Worst-case analysis DEPENDENT SETUP TIMES TOTAL COMPLETION-TIME SINGLE-MACHINE 2-MACHINE FLOWSHOP ALGORITHMS POSITION PROPERTY MODELS
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/155203
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-155203
record_format	dspace
spelling	sg-nus-scholar.10635-1552032024-11-14T05:05:00Z Scheduling with job-splitting considering learning and the vital-few law Liu, Changchun Wang, Chenjie Zhang, Zhi-hai Zheng, Li INST OF OPERATIONS RESEARCH & ANALYTICS Mr Liu Changchun Science & Technology Technology Computer Science, Interdisciplinary Applications Engineering, Industrial Operations Research & Management Science Computer Science Engineering Parallel machine scheduling Makespan Job splitting Learning effect Vital-few law Worst-case analysis DEPENDENT SETUP TIMES TOTAL COMPLETION-TIME SINGLE-MACHINE 2-MACHINE FLOWSHOP ALGORITHMS POSITION PROPERTY MODELS 10.1016/j.cor.2017.02.011 COMPUTERS & OPERATIONS RESEARCH 90 264-274 2019-06-06T04:58:34Z 2019-06-06T04:58:34Z 2018-02-01 2019-06-03T08:20:39Z Article Liu, Changchun, Wang, Chenjie, Zhang, Zhi-hai, Zheng, Li (2018-02-01). Scheduling with job-splitting considering learning and the vital-few law. COMPUTERS & OPERATIONS RESEARCH 90 : 264-274. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cor.2017.02.011 0305-0548 1873-765X https://scholarbank.nus.edu.sg/handle/10635/155203 en PERGAMON-ELSEVIER SCIENCE LTD Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Technology Computer Science, Interdisciplinary Applications Engineering, Industrial Operations Research & Management Science Computer Science Engineering Parallel machine scheduling Makespan Job splitting Learning effect Vital-few law Worst-case analysis DEPENDENT SETUP TIMES TOTAL COMPLETION-TIME SINGLE-MACHINE 2-MACHINE FLOWSHOP ALGORITHMS POSITION PROPERTY MODELS
spellingShingle	Science & Technology Technology Computer Science, Interdisciplinary Applications Engineering, Industrial Operations Research & Management Science Computer Science Engineering Parallel machine scheduling Makespan Job splitting Learning effect Vital-few law Worst-case analysis DEPENDENT SETUP TIMES TOTAL COMPLETION-TIME SINGLE-MACHINE 2-MACHINE FLOWSHOP ALGORITHMS POSITION PROPERTY MODELS Liu, Changchun Wang, Chenjie Zhang, Zhi-hai Zheng, Li Scheduling with job-splitting considering learning and the vital-few law
description	10.1016/j.cor.2017.02.011
author2	INST OF OPERATIONS RESEARCH & ANALYTICS
author_facet	INST OF OPERATIONS RESEARCH & ANALYTICS Liu, Changchun Wang, Chenjie Zhang, Zhi-hai Zheng, Li
format	Article
author	Liu, Changchun Wang, Chenjie Zhang, Zhi-hai Zheng, Li
author_sort	Liu, Changchun
title	Scheduling with job-splitting considering learning and the vital-few law
title_short	Scheduling with job-splitting considering learning and the vital-few law
title_full	Scheduling with job-splitting considering learning and the vital-few law
title_fullStr	Scheduling with job-splitting considering learning and the vital-few law
title_full_unstemmed	Scheduling with job-splitting considering learning and the vital-few law
title_sort	scheduling with job-splitting considering learning and the vital-few law
publisher	PERGAMON-ELSEVIER SCIENCE LTD
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/155203
_version_	1821184292203528192

Scheduling with job-splitting considering learning and the vital-few law

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