A computational intelligent fuzzy model approach for excavator cycle time simulation

Junli Yang; David J. Edwards; Peter E.D. Love

doi:10.1016/S0926-5805(03)00056-6

A computational intelligent fuzzy model approach for excavator cycle time simulation

Junli Yang^*
, David J. Edwards
, Peter E.D. Love

^*Corresponding author for this work

Loughborough University
Edith Cowan University

Research output: Contribution to journal › Article › peer-review

27 Citations (SciVal)

Original language	English
Pages (from-to)	725-735
Number of pages	11
Journal	Automation in Construction
Volume	12
Issue number	6
DOIs	https://doi.org/10.1016/S0926-5805(03)00056-6
Publication status	Published (VoR) - Nov 2003

Funding

The research team takes this opportunity to thank the Engineering and Physical Sciences Research Council for supporting this research work.

Keywords

Computational intelligence
Construction plant operation
Excavator cycle times
Fuzzy model algorithms
Operating performance

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10.1016/S0926-5805(03)00056-6

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@article{cb4daaabe9c54b5ea7ff2dd2ed45238e,

title = "A computational intelligent fuzzy model approach for excavator cycle time simulation",

keywords = "Computational intelligence, Construction plant operation, Excavator cycle times, Fuzzy model algorithms, Operating performance",

author = "Junli Yang and Edwards, \{David J.\} and Love, \{Peter E.D.\}",

note = "Funding Information: The research team takes this opportunity to thank the Engineering and Physical Sciences Research Council for supporting this research work. ",

year = "2003",

month = nov,

doi = "10.1016/S0926-5805(03)00056-6",

language = "English",

volume = "12",

pages = "725--735",

journal = "Automation in Construction",

issn = "0926-5805",

publisher = "Elsevier",

number = "6",

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T1 - A computational intelligent fuzzy model approach for excavator cycle time simulation

AU - Yang, Junli

AU - Edwards, David J.

AU - Love, Peter E.D.

N1 - Funding Information: The research team takes this opportunity to thank the Engineering and Physical Sciences Research Council for supporting this research work.

PY - 2003/11

Y1 - 2003/11

KW - Computational intelligence

KW - Construction plant operation

KW - Excavator cycle times

KW - Fuzzy model algorithms

KW - Operating performance

UR - https://www.scopus.com/pages/publications/0141955966

UR - https://www.scopus.com/pages/publications/0141955966#tab=citedBy

U2 - 10.1016/S0926-5805(03)00056-6

DO - 10.1016/S0926-5805(03)00056-6

M3 - Article

AN - SCOPUS:0141955966

SN - 0926-5805

VL - 12

SP - 725

EP - 735

JO - Automation in Construction

JF - Automation in Construction

IS - 6

ER -

A computational intelligent fuzzy model approach for excavator cycle time simulation

Funding

Keywords

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