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作者:

Li, Yuchen (Li, Yuchen.)

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EI Scopus SCIE

摘要:

Assembly lines with non-constant task time attribute are widely studied in the literature. For the SALBP-II assembly line balancing problem, we take account of stochastic task time changes, which is more practical than the deterministic times often assumed in industrial application. An algorithm - ENCORE, which leverages the traditional algorithm SALOME2, is proposed to address the assembly line balancing problem with stochastic task time attribute. Computational and statistical experiments are conducted to show the efficiency of proposed algorithms over traditional methods with regards to the improvement of total production times.

关键词:

assembly line balancing branch and bound production planning learning effects optimisation

作者机构:

  • [ 1 ] [Li, Yuchen]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Li, Yuchen]Res Base Beijing Modern Mfg Dev, Beijing, Peoples R China

通讯作者信息:

  • [Li, Yuchen]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China;;[Li, Yuchen]Res Base Beijing Modern Mfg Dev, Beijing, Peoples R China

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来源 :

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

ISSN: 0020-7543

年份: 2017

期: 24

卷: 55

页码: 7334-7355

9 . 2 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:165

中科院分区:3

被引次数:

WoS核心集被引频次: 36

SCOPUS被引频次: 43

ESI高被引论文在榜: 0 展开所有

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