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Author:

Li, Yuchen (Li, Yuchen.)

Indexed by:

EI Scopus SCIE

Abstract:

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.

Keyword:

assembly line balancing branch and bound production planning learning effects optimisation

Author Community:

  • [ 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

Reprint Author's Address:

  • [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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Related Keywords:

Source :

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

ISSN: 0020-7543

Year: 2017

Issue: 24

Volume: 55

Page: 7334-7355

9 . 2 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:165

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 36

SCOPUS Cited Count: 43

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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